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Hu X, Xu S, Deng X, Wang C. Temporal variation, sources, fluxes, and risk assessment of heavy metals and arsenic in rainwater from Zhanjiang Bay, Northern South China Sea: Impact of typhoons Lion and Kompasu. MARINE POLLUTION BULLETIN 2024; 209:117077. [PMID: 39393220 DOI: 10.1016/j.marpolbul.2024.117077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 09/26/2024] [Accepted: 09/28/2024] [Indexed: 10/13/2024]
Abstract
This study investigates the impact of typhoon-induced rainfall on coastal pollution dynamics in Zhanjiang Bay during the 2021 wet season, focusing on typhoons Lion and Kompasu. Typhoon-induced rainfall (217 mm) contributed 23 % of the total wet season precipitation. Concentrations of Cu, Zn, Cd, and As in rainwater during typhoons were significantly diluted, showing decreases of 48 %, 48 %, 54 %, and 42 %, respectively. In contrast, Pb concentrations remained consistent (29.5 vs. 29.3 μg L-1), indicating that increased local emissions offset the dilution effect. The deposition fluxes of these elements during typhoons accounted for 12-21 % of total wet season deposits. A positive matrix factorization model identified six primary sources, highlighting a rise in coal combustion contributions during typhoons. Overall, while typhoons reduced risks for Cu, Cd, and As, risks for Zn and Pb increased upon deposition on Zhanjiang Bay, illustrating the complex impact of typhoon-induced rainfall on coastal pollution dynamics.
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Affiliation(s)
- Xuanyu Hu
- College of Oceanology and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Siyi Xu
- College of Oceanology and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xiaodong Deng
- College of Oceanology and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Chao Wang
- College of Oceanology and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Continental Shelf and Far-reaching Sea Climate, Resources and Environment, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Space Marine Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China; Laboratory of Offshore Ocean Change and Disaster Warning, College of Oceanology and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China.
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2
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Cai S, Lao Q, Cai M, Silva DPTT, Lu X, Zhou X, Jin G, Chen C, Chen F. Water residence time controls seasonal nitrous oxide budget in a semi-enclosed bay: Insights from an improvement estimation method. MARINE POLLUTION BULLETIN 2024; 206:116701. [PMID: 38991612 DOI: 10.1016/j.marpolbul.2024.116701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/03/2024] [Accepted: 07/04/2024] [Indexed: 07/13/2024]
Abstract
This study developed an estimation method for the N2O budget using 15N stable isotope labeling techniques, a dual-layer model and a box model, which was used to elucidate the underlying dynamics of N2O accumulation in Zhanjiang Bay. The results showed that although the net input of N2O during the rainy season was 2.36 times higher than that during the dry season, the overall N2O concentration was only 66.6 % of that during the dry season due to the extended water residence time in the dry season. Our findings highlighted that water residence time was the key factor for the N2O emission, and a longer water residence time was unfavorable for the efflux of N2O through hydrodynamic processes and was more conducive to the production and accumulation of N2O within the bay. This research enhanced our comprehension of N2O dynamics and provided crucial insights for refining nitrogen management strategies and mitigation efforts.
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Affiliation(s)
- Shangjun Cai
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Minggang Cai
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Dickwelle P T T Silva
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xuan Lu
- Polar and Marine Research Institute, College of Harbor and Coastal Engineering, Jimei University, Xiamen 361021, China
| | - Xin Zhou
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China.
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3
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Liu R, Qiu J, Wang S, Fu R, Qi X, Jian C, Hu Q, Zeng J, Liu N. Hydrochemical and microbial community characteristics and the sources of inorganic nitrogen in groundwater from different aquifers in Zhanjiang, Guangdong Province, China. ENVIRONMENTAL RESEARCH 2024; 252:119022. [PMID: 38685304 DOI: 10.1016/j.envres.2024.119022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/02/2024]
Abstract
Groundwater from different aquifers in the Zhanjiang area suffers from different degrees of nitrogen pollution, which poses a serious threat to the health of urban and rural residents as well as the surrounding aquatic ecological environment. However, neither the water chemistry and microbial community characteristics in different aquifer media nor the sources of inorganic nitrogen pollution have been extensively studied. This study integrated water quality parameters, dual isotopes (δ15N-NO3- and δ18O-NO3-), and 16S rRNA data to clarify the hydrochemical and microbial characteristics of loose rock pore water (LRPW), layered bedrock fissure water (LBFW), and volcanic rock pore fissure water (VRPFW) in the Zhanjiang area and to determine inorganic nitrogen pollution and sources. The results show that the hydrochemistry of groundwater in different aquifers is complex and diverse, which is mainly affected by rock weathering and atmospheric precipitation, and the cation exchange is strong. High NO3- concentration reduces the richness of the microbial community (VRPFW). There are a large number of bacteria related to nitrogen (N) cycle in groundwater and nitrification dominated the N transformation. A quarter of the samples exceeded the relevant inorganic nitrogen index limits specified in the drinking water standard for China. The NO3- content is highest in VRPFW and the NH4+ content is highest in shallow loose rock pore water (SLRPW). In general, NO3-/Cl-, dual isotope (δ15N-NO3- and δ18O-NO3-) data and MixSIAR quantitative results indicate manure and sewage (M&S) and soil organic nitrogen (SON) are the main sources of NO3-. In LRPW, as the depth increases, the contribution rate of M&S gradually decreases, and the contribution rate of SON gradually increases. The results of uncertainty analysis show that the UI90 values of SON and M&S are higher. This study provides a scientific basis for local relevant departments to address inorganic nitrogen pollution in groundwater.
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Affiliation(s)
- Rentao Liu
- College of Environment and Climate, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Jinrong Qiu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510655, Guangdong, China
| | - Shuang Wang
- Guangdong Geological Bureau Fourth Geological Brigade, Zhanjiang, 524049, Guangdong, China
| | - Renchuan Fu
- College of Environment and Climate, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Xiaochen Qi
- College of Environment and Climate, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Chuanqi Jian
- College of Life Science and Technology, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Qizhi Hu
- Guangdong Hydrogeology Battalion, Guangzhou, 510510, Guangdong, China
| | - Jingwen Zeng
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510655, Guangdong, China
| | - Na Liu
- College of Life Science and Technology, Jinan University, Guangzhou, 510632, Guangdong, China.
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Zhou X, Zhang S, Chen C, Lao Q, Chen F. Changes in fronts regulate nitrate cycling in Zhanjiang Bay: A comparative study during the normal wet season, rainstorm, and typhoon periods. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172902. [PMID: 38697539 DOI: 10.1016/j.scitotenv.2024.172902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/17/2024] [Accepted: 04/28/2024] [Indexed: 05/05/2024]
Abstract
Typhoons and rainstorms (>250 mm/day) are extreme weather events changing hydrological characteristics and thus nitrogen (N) cycle in coastal waters. However, responses of N cycle to rainstorms and typhoons and their underlying mechanisms need to be elucidated. In this study, we conducted an analysis of a comparative dataset encompassing concentrations of nitrate (NO3-), ammonium (NH4+), dissolved oxygen (DO), chlorophyll a (Chl a), hydrological parameters, dual isotopic composition of NO3- (δ15N-NO3- and δ18O-NO3-) in Zhanjiang Bay during three distinct periods: the normal wet season, rainstorm, and typhoon periods. After the rainstorm, the salinity front in Zhanjiang Bay was more weakened and steadier than that during the normal wet season, mainly because onshore wind and a large amount of freshwater was inputted into the ocean surface. This weakened and steady salinity front strengthened water stratification and provided a favorable condition for phytoplankton blooms. Correspondingly, evident NO3- deficits coincided with elevated δ15N-NO3- and δ18O-NO3- values indicated that sufficient NO3- sustained phytoplankton blooms, leading to NO3- assimilation during the rainstorm period. By contrast, due to the onshore wind induced by the typhoon, the salinity front in Zhanjiang Bay was more intensified and unsteady after the typhoon than the normal wet season. The salinity front after the typhoon was unsteady enough to enhance vertical mixing in the water column. Relatively high DO concentrations suggested that enhanced vertical mixing after the typhoon support freshly organic matter decomposition and nitrification via oxygen injection from the air into the water column. In addition, NO3- deficits coincided with elevated δ15N-NO3- values and δ18O-NO3- values demonstrated the coexistence of NO3- assimilation during the typhoon period. This study suggests that the changing processes involved in NO3- cycling after typhoons and rainstorms are associated with the stability and intensity of the salinity front altered by these weather events.
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Affiliation(s)
- Xin Zhou
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Institute of Marine Sciences, Shantou University, Shantou 515063, China
| | - Shuwen Zhang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Institute of Marine Sciences, Shantou University, Shantou 515063, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China.
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Zhang P, Long H, Li Z, Chen R, Peng D, Zhang J. Effects of typhoon events on coastal hydrology, nutrients, and algal bloom dynamics: Insights from continuous observation and machine learning in semi-enclosed Zhanjiang Bay, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171676. [PMID: 38479535 DOI: 10.1016/j.scitotenv.2024.171676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/23/2024] [Accepted: 03/10/2024] [Indexed: 03/19/2024]
Abstract
Typhoons can induce variations in hydrodynamic conditions and biogeochemical processes, potentially escalating the risk of algal bloom occurrences impacting coastal ecosystems. However, the impacts of typhoons on instantaneous changes and the mechanisms behind typhoon-induced algal blooms remain poorly understood. This study utilized high-frequency in situ observation and machine learning model to track the dynamic variations in meteorological, hydrological, physicochemical, and Chlorophyll-a (Chl-a) levels through the complete Typhoon Talim landing in Zhanjiang Bay (ZJB) in July 2023. The results showed that a delayed onset of algal bloom occurring 10 days after typhoon's arrival. Subsequently, as temperatures reached a suitable range, with an ample supply of nutrients and water stability, Chl-a peaked at 121.49 μg L-1 in algal bloom period. Additionally, water temperature and air temperature decreased by 1.61 °C and 2.8 °C during the typhoon, respectively. In addition, wind speed and flow speed increased by 1.34 and 0.015 m s-1 h-1 to peak values, respectively. Moreover, the slow decline of 8.2 % in salinity suggested a substantial freshwater input, leading to an increase in nutrients. For instance, the mean DIN and DIP were 2.2 and 8.5 times higher than those of the pre-typhoon period, resulting in a decrease in DIN/DIP (closer to16) and the alleviation of P limitation. Furthermore, pH and dissolved oxygen (DO) were both low during the typhoon period and then peaked at 8.93 and 19.05 mg L-1 during the algal bloom period, respectively, but subsequently decreased, remaining lower than those of the pre-typhoon period. A preliminary learning machine model was established to predict Chl-a and exhibited good accuracy, with R2 of 0.73. This study revealed the mechanisms of eutrophication status formation and algal blooms occurrence in the coastal waters, providing insights into the effects of typhoon events on tropical coastal biogeochemistry and ecology.
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Affiliation(s)
- Peng Zhang
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China; Research Center for Coastal Environmental Protection and Ecological Resilience, Guangdong Ocean University, Guangdong, Zhanjiang 524088, China
| | - Huizi Long
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Zhihao Li
- Guangzhou Heston Electronic Technology Co., Ltd., Guangzhou 511447, China
| | - Rong Chen
- Guangzhou Heston Electronic Technology Co., Ltd., Guangzhou 511447, China
| | - Demeng Peng
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Jibiao Zhang
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China.
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Cai S, Lao Q, Chen C, Zhu Q, Chen F. The impact of algal blooms on promoting in-situ N 2O emissions: A case in Zhanjiang bay, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 358:120935. [PMID: 38648725 DOI: 10.1016/j.jenvman.2024.120935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Under the influence of many factors, such as climate change, anthropogenic eutrophication, and the development of aquaculture, the area and frequency of algal blooms have showed an increasing trend worldwide, which has become a challenging issue at present. However, the coupled relationship between nitrous oxide (N2O) and algal blooms and the underlying mechanisms remain unclear. To address this issue, 15N isotope cultures and quantitative polymerase chain reaction (qPCR) experiments were conducted in Zhanjiang Bay during algal and non-algal bloom periods. The results showed that denitrification and nitrification-denitrification were the two processes responsible for the in-situ production of N2O during algal and non-algal bloom periods. Stable isotope rate cultivation experiments indicated that denitrification and nitrification-denitrification were promoted in the water during the algal bloom period. The in-situ production of N2O during the algal bloom period was three-fold that during the non-algal bloom period. This may be because fresh particulate organic matter (POM) from the organisms responsible for the algal bloom provides the necessary anaerobic and hypoxic environment for denitrification and nitrification-denitrification in the degradation environment. Additionally, a positive linear correlation between N2O concentrations and ammonia-oxidizing bacteria (AOB) and denitrifying bacteria (nirK and nirS) also supported the significant denitrification and nitrification-denitrification occurring in the water during the algal bloom period. However, the algal bloom changed the main process for the in-situ production of N2O, wherein it shifted from denitrification during the non-algal bloom period to nitrification-denitrification during the algal bloom period. The results of our study will improve our understanding of the processes responsible for the in-situ production of N2O during the algal bloom period, and can help formulate effective policies to mitigate N2O emissions in the bay.
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Affiliation(s)
- Shangjun Cai
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 524088, China.
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7
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Sun X, Zhang J, Li H, Zhu Y, He X, Liao Y, Jiang Z, Shou L, Wang Z, Jennerjahn TC, Chen J. Coastal eutrophication driven by long-distance transport of large river nutrient loads, the case of Xiangshan Bay, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168875. [PMID: 38013095 DOI: 10.1016/j.scitotenv.2023.168875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/17/2023] [Accepted: 11/23/2023] [Indexed: 11/29/2023]
Abstract
With accelerating anthropogenic activities, the overloading of land-derived nutrients and the resultant eutrophication are threatening coastal aquatic habitats worldwide. In semi-enclosed coastal bays, eutrophication is always considered a local problem that can be mitigated by nutrient reduction at a regional scale. However, as the main nutrient drains major global river discharges can have far-reaching effects over hundreds of kilometers alongshore, which are usually not precisely recognized in local coastal zone management. Here, we first quantified the contributions from both local and remote nutrient sources in Xiangshan Bay (XSB), a eutrophic semi-enclosed bay in China 200 km south of the mouth of the Changjiang River (CJR, the world's third largest river), employing a salinity-based conservative mixing model. We found that the nutrients in Xiangshan Bay were mainly supplied by intruded coastal water fed by CJR discharge, contributing 63 % of dissolved inorganic nitrogen (DIN), 65 % of dissolved silicon (DSi), and 49 % of dissolved inorganic phosphorus (DIP) during the summer of 2017, and 75 % of DIN, 75 % of DSi and 60 % of DIP during the winter of 2019. Additionally, long-term interannual trends in the nutrient concentrations of XSB were generally synchronous with those of the downstream portion of the CJR, indicating that CJR discharge seems to be a strong driver of the eutrophication observed in XSB. In contrast, the impact of local nutrient inputs, such as riverine sewage drainage, aquaculture, biogenic activities, and elemental recycling, was much lower and was regionally limited to the inner bay. Interestingly, the DIP contributions of the local and remote sources were similar, indicating the greater relevance of the internal process. Overall, to mitigate eutrophication in large river-adjacent coastal bays, the inter-regional united practices for nutrient source regulation and ecosystem restoration should be permanently applied along the entire river basin-estuary-coastal continuum.
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Affiliation(s)
- Xiangyu Sun
- Ocean College, Zhejiang University, Zhoushan 316021, China; Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Jingjing Zhang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan 316021, China
| | - Hongliang Li
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan 316021, China.
| | - Yong Zhu
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Xingju He
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Yibo Liao
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Zhibing Jiang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Lu Shou
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Zhiwen Wang
- Key Laboratory of Ocean Space Resource Management Technology, MNR, Marine Academy of Zhejiang Province, Hangzhou 310012, China
| | - Tim C Jennerjahn
- Leibniz Centre for Tropical Marine Research, D-28359 Bremen, Germany; Faculty of Geoscience, University of Bremen, D-28359 Bremen, Germany
| | - Jianfang Chen
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China
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Chen C, Lao Q, Zhou X, Jin G, Zhu Q, Chen F. Tracks of typhoon movement (left and right sides) control marine dynamics and eco-environment in the coastal bays after typhoons: A case study in Zhanjiang Bay. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168944. [PMID: 38042195 DOI: 10.1016/j.scitotenv.2023.168944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/14/2023] [Accepted: 11/25/2023] [Indexed: 12/04/2023]
Abstract
Coastal oceans are highly responsive to typhoons, making them one of the most affected regions. However, our understanding of the impact of typhoon intensity and movement path on marine dynamic processes and eco-environmental factors remains limited because there are very few on-site investigations, especially continuous field observations in the bay during typhoon events. This study investigated dual water isotopes through a continuous survey (with a 5-day interval) during ten cruises in Zhanjiang Bay, associated with two typhoons of varying intensities and landing tracks (left and right sides). After typhoons, the water mass mixing intensified and lasted for several weeks, depending on the intensity of typhoons. During the typhoon periods, there was a considerable increase in contributions from freshwater to nutrient loads; however, this contribution was higher from the stronger typhoon than the weaker one. The weaker Typhoon Lionrock, which landed on the left side of the bay, enhanced the ocean front due to onshore winds induced by the typhoon, causing intrusion of high-salinity seawater into the bay and retaining pollutants in the bay. However, when stronger Typhoon Chaba landed on the right side, offshore winds induced by counterclockwise wind stress during the typhoon resulted in more seawater flowing toward the lower and outer bay. This prevented the forming of an ocean front and played a dilution role in pollutants through its hydrodynamic process. This was primarily due to the fact that the landing trajectory of typhoons directly influenced the direction of seawater flow in Zhanjiang Bay, while the intensity of typhoons further amplifies these flow patterns. This study suggests that tracks of typhoon movement, rather than their intensity and terrestrial runoff, play a crucial role in governing marine dynamics and nutrient supplies in coastal bays during typhoon events.
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Affiliation(s)
- Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xin Zhou
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; School of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China.
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9
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Liu S, Lao Q, Cai M, Jin G, Chen C, Zhu Q, Chen F. Seasonal distribution of water masses and their impacts on nutrient supply in the southern Beibu Gulf. MARINE ENVIRONMENTAL RESEARCH 2024; 194:106311. [PMID: 38154195 DOI: 10.1016/j.marenvres.2023.106311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Abstract
Dual water isotopes were investigated to reveal the seasonal distribution of water masses and their impacts on nutrient supply in southern Beibu Gulf. In summer and winter, the South China Sea (SCS) water (61-69%) contributed the most to the seawater in the southern Beibu Gulf, followed by the diluted water (24-34%), and the west-Guangdong coastal current (WGCC) (5-7%) had the minimum contribution. However, the major nutrient source shifted from the diluted water in summer (39-73%) to the SCS water (57-90%) in winter. The WGCC's impact on nutrient loads was relatively small (2-10% in summer, 4-34% in winter). Our results highlight the control of nutrient supply was the SCS water (winter) and diluted water (summer), with limited influence from the WGCC, providing new insights into the impact of water mass transportation and its nutrient supply in the Beibu Gulf.
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Affiliation(s)
- Sihai Liu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Minggang Cai
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China.
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10
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Lao Q, Lu X, Chen F, Chen C, Jin G, Zhu Q. A comparative study on source of water masses and nutrient supply in Zhanjiang Bay during the normal summer, rainstorm, and typhoon periods: Insights from dual water isotopes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166853. [PMID: 37673256 DOI: 10.1016/j.scitotenv.2023.166853] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/27/2023] [Accepted: 09/03/2023] [Indexed: 09/08/2023]
Abstract
Typhoons and rainstorms (rainfall >250 mm day-1) are extreme weather events that seriously impact coastal oceanography and biogeochemical cycles. However, changes in the mixing of water masses and nutrient supply induced by typhoons and rainstorms can hardly be identified and quantified by traditional methods owing to the complex hydrological conditions in coastal waters. In this study, we analysed a comparative data set of dual water isotopes (δD and δ18O), hydrological parameters, nutrients, and chlorophyll-a from three periods (normal summer, rainstorm, and typhoon periods) in Zhanjiang Bay, a typical semi-enclosed mariculture bay in South China, to address this issue. The results revealed a significant increase in contributions from freshwater during rainstorms and typhoons. Correspondingly, nutrient supplies from freshwater during these periods remarkably increased compared to the normal summer, indicating that heavy rainfall can transport substantial amounts of terrestrial nutrients into the bay. Furthermore, disparities in hydrodynamic processes between typhoon and rainstorm periods were notable due to inconsistencies in freshwater diffusion paths. During rainstorms, freshwater primarily diffuses towards the outer bay in the upper layer due to strong stratification and cannot form an ocean front. However, under intense external forces caused by the typhoon, high-salinity water intruded into the bay, and enhancement of vertical mixing disrupted stratification. The massive influx of freshwater column during the typhoon mixed with higher salinity seawater column in the bay led to the formation of an ocean front, which could retain contaminants. This study suggests that although both rainstorms and typhoons can discharge large quantities of terrestrial nutrients into Zhanjiang Bay, the front formed during the typhoon period impedes the contaminant transportation to open sea thereby deteriorating water quality and affecting mariculture activities within the bay.
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Affiliation(s)
- Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xuan Lu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China.
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
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11
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Wei H, Zhu Z, Wang W, Tang H, Guan Y, Zheng P, Zhang L, Jia R, Liang Q, Li S, Lu L, Chen Y, Zhang Z, Chen J, Zhang Q. Terrestrial inputs and physical processes control the distributions of potentially toxic elements (PTEs) in the seawater of the large-range Beibu Gulf, the northern South China Sea. MARINE POLLUTION BULLETIN 2023; 196:115617. [PMID: 37826909 DOI: 10.1016/j.marpolbul.2023.115617] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/16/2023] [Accepted: 10/01/2023] [Indexed: 10/14/2023]
Abstract
The potentially toxic elements (PTEs), Cu, Pb, Zn, Cd, Cr, Hg and As in the water from the Beibu Gulf, were investigated to reveal the contaminant characteristics and assess the risks to human health. The results showed that the concentration of PTEs in the Beibu Gulf varies significantly both seasonally and spatially, with higher concentrations in summer and in the northern and southern gulf. Terrestrial inputs and local anthropogenic discharge are responsible for the higher level in the northern gulf, and the transportation of water masses is also an important factor for the higher concentrations in the southern gulf. Ecological risk assessment suggested that Hg is the main ecological risk factor. The health risk assessment revealed that dermal exposure to PTEs in the gulf presents potentially carcinogenic health effects for humans. This study provides new insight into the transport of PTEs over a large area of the Beibu Gulf.
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Affiliation(s)
- Huihua Wei
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Zuhao Zhu
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China.
| | - Weili Wang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Hongzhi Tang
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Yao Guan
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Pengfei Zheng
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Li Zhang
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Renming Jia
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Qinglong Liang
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Shiman Li
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Lu Lu
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Yuxi Chen
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Zhen Zhang
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Jie Chen
- Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China
| | - Qiufeng Zhang
- Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536000, China.
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12
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Boumaiza L, Ben Ammar S, Chesnaux R, Stotler RL, Mayer B, Huneau F, Johannesson KH, Levison J, Knöller K, Stumpp C. Nitrate sources and transformation processes in groundwater of a coastal area experiencing various environmental stressors. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118803. [PMID: 37611515 DOI: 10.1016/j.jenvman.2023.118803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/28/2023] [Accepted: 08/10/2023] [Indexed: 08/25/2023]
Abstract
In coastal salinized groundwater systems, contamination from various nitrate (NO3) inputs combined with complex hydrogeochemical processes make it difficult to distinguish NO3 sources and identify potential NO3 transformtation processes. Effective field-based NO3 studies in coastal areas are needed to improve the understanding of NO3 contamination dynamics in groundwater of such complex coastal systems. This study focuses on a typical Mediterranean coastal agricultural area, located in Tunisia, experiencing substantial NO3 contamination from multiple anthropogenic sources. Here, multiple isotopic tracers (δ18OH2O, δ2HH2O, δ15NNO3, δ18ONO3, and δ11B) combined with a Bayesian isotope MixSIAR model are used (i) to identify the major NO3 sources and their contributions, and (ii) to describe the potential NO3 transformation processes. The measured NO3 concentrations in groundwater are above the natural baseline threshold, suggesting anthropogenic influence. The measured isotopic composition of NO3 indicates that manure, soil organic matter, and sewage are the potential sources of NO3, while δ11B values constrain the NO3 contamination to manure; a finding that is supported by the results of MixSIAR model revealing that manure-derived NO3 dominates over other likely sources. Nitrate derived from manure in the study area is attributed to organic fertilizers used to promote crop growth, and livestock that deposit manure directly on the ground surface. Evidence for ongoing denitrification in groundwaters of the study area is supported by an enrichment in both 15N and 18O in the remaining NO3, although isotopic mass balances between the measured and the theoretical δ18ONO3 values also suggest the occurrence of nitrification. The simultaneous occurrence of these biogeochemical processes with heterogeneous distribution across the study area reflect the complexity of interactions within the investigated coastal aquifer. The multiple isotopic tracer approach used here can identify the effect of multiple NO3 anthropogenic activities in coastal environments, which is fundamental for sustainable groundwater resources management.
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Affiliation(s)
- Lamine Boumaiza
- University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, Ontario, N2T 0A4, Canada.
| | - Safouan Ben Ammar
- Université de Carthage, Institut Supérieur des Technologies de L'Environnement de L'Urbanisme et de Bâtiment, Tunis, 2035, Tunisia
| | - Romain Chesnaux
- Université Du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec, G7H 2B1, Canada
| | - Randy L Stotler
- University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, Ontario, N2T 0A4, Canada
| | - Bernhard Mayer
- University of Calgary, Department of Geoscience, Calgary, Alberta, T2N 1N4 Canada
| | - Frédéric Huneau
- Université de Corse, CNRS UMR 6134 SPE, Département d'Hydrogéologie, Campus Grimaldi BP52, Corte, 20250, France
| | - Karen H Johannesson
- University of Massachusetts Boston, School for the Environment, Boston, MA, 02125, USA
| | - Jana Levison
- University of Guelph, School of Engineering, Morwick G360 Groundwater Research Institute, Guelph, Ontario, N1G 2W1, Canada
| | - Kay Knöller
- Helmholtz Centre for Environmental Research, Department of Catchment Hydrology, Halle, Saale, 06120, Germany
| | - Christine Stumpp
- University of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna, 1190, Austria
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13
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Niu J, Feng Z, He M, Xie M, Lv Y, Zhang J, Sun L, Liu Q, Hu BX. Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a. MARINE POLLUTION BULLETIN 2023; 192:115089. [PMID: 37267869 DOI: 10.1016/j.marpolbul.2023.115089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023]
Abstract
Accurate predictions of coastal ocean chlorophyll-a (Chl-a) concentrations are necessary for dynamic water quality monitoring, with eutrophication as a critical factor. Prior studies that used the driven-data method have typically overlooked the relationship between Chl-a and marine particulate carbon. To address this gap, marine particulate carbon was incorporated into machine learning (ML) and deep learning (DL) models to estimate Chl-a concentrations in the Yang Jiang coastal ocean of China. Incorporating particulate organic carbon (POC) and particulate inorganic carbon (PIC) as predictors can lead to successful Chl-a estimation. The Gaussian process regression (GPR) model significantly outperforming the DL model in terms of stability and robustness. A lower POC/Chl-a ratio was observed in coastal areas, in contrast to the higher ratios detected in the southern regions of the study area. This study highlights the efficacy of the GPR model for estimating Chl-a and the importance of considering POC in modeling Chl-a concentrations.
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Affiliation(s)
- Jie Niu
- College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Ziyang Feng
- Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Mingxia He
- School of Water Resources and Environment, China University of Geosciences, Beijing 10083, China.
| | - Mengyu Xie
- School of Environment, Jinan University, Guangzhou 510632, China
| | - Yanqun Lv
- School of Environment, Jinan University, Guangzhou 510632, China
| | - Juan Zhang
- College of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Liwei Sun
- Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Qi Liu
- Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Bill X Hu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
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14
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Anjaneyan P, Kuttippurath J, Hareesh Kumar PV, Ali SM, Raman M. Spatio-temporal changes of winter and spring phytoplankton blooms in Arabian sea during the period 1997-2020. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 332:117435. [PMID: 36746044 DOI: 10.1016/j.jenvman.2023.117435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
Arabian Sea (AS) experiences Chlorophyll-a (Chl-a) blooms during winter and early spring (November-March) mainly due to the changes induced by seasonally reversing monsoon winds and associated processes. The seasonal blooms exhibit distinct regional patterns in their onset, duration, intensity and peak period. Recent changes in ocean dynamics and plankton composition have inflicted adverse effects in the distribution of Chl-a concentration in AS. Here, we analyse the long-term spatio-temporal changes in winter and early spring bloom events during the period 1997-2020, and evaluate the role of sea surface temperature (SST), mixed layer depth (MLD), sea surface salinity, winds, mesoscale eddies and surface currents on these bloom occurrences. We observe a significant reduction in these blooms, which started in the early 2000s and intensified in the last decade (2010-2020), with a notable drop in the adjacent gulfs (Gulf of Aden: 1.38 ± 0.7 × 10-5 mg m-3 yr-1, Gulf of Oman: 4.71 ± 1.35 × 10-6 mg m-3 yr-1) and West coast of India (-6.71 ± 2.85 × 10-6 mg m-3 yr-1). The MLD and ocean temperature are the major factors that govern bloom in Gulf of Oman and open waters. Conversely, the coastal upwelling and eddies drive blooms in Gulf of Aden. The winter cooling trigger the bloom in the northern Indian west coast, but the inter-basin exchange of surface waters through the West Indian Coastal Current inhibits its southward spread. This study, therefore, reveals unique processes that initiate and control the winter and early spring blooms in different regions of AS. The ongoing warming of AS could contribute to further decline in these seasonal blooms, which would be a great concern for regional marine productivity and associated regional food security.
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Affiliation(s)
- P Anjaneyan
- CORAL, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - J Kuttippurath
- CORAL, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
| | - P V Hareesh Kumar
- Naval Physical Oceanographic Laboratory, DRDO, Thrikkakara, Kochi, 682021, India
| | - S M Ali
- CORAL, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India; Space Applications Centre, Ahmedabad, 380015, India
| | - Mini Raman
- Space Applications Centre, Ahmedabad, 380015, India
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15
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Xie R, Zhen L, Wu X, Li J. Isotopic compositions (δD, δ 18O) and end-member mixing for the control interface in a complex tidal region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 866:161438. [PMID: 36623659 DOI: 10.1016/j.scitotenv.2023.161438] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/31/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
Identifying the mixing processes of waters and currents in tidal reach is an important aspect of environmental management to protect freshwater resources and prevent water pollution. In this study, three field investigations conducted in a typical tidal reach in August, November and the following April focused on two isotopes (δD and δ18O) and salinity. A salinity-isotope conservative mixing model was established to differentiate water flows of the important control interface (CI) from freshwater, transition zone and saltwater end-members. Results suggested that the average δD and δ18O values during the ebb and flood tides depleted from August to November, then enriched significantly in the following April and were even higher than those in August. The δD and δ18O values in the saltwater zone enriched markedly compared with those in freshwater zone and transition zone due to the stronger evaporation occurring in the saltwater zone. Based on the revised model, the average contributions of freshwater end-member, transition zone end-member and saltwater end-member in three months were, respectively, 51.50 %, 36.93 % and 11.57 %. However, the contributions of freshwater and transition zones in April end-member were equivalent (47.45 % vs 44.31 %). Meanwhile the largest contribution of saltwater end-member was 20.56 % and occurred in August. The proportions of three end-members that contributed to CI changed with different evaporation scenarios and moisture sources of precipitation. Our research provides important information that furthers our understanding of the isotopes and their applications to environmental management in estuarine regions.
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Affiliation(s)
- Rongrong Xie
- College of Environmental and Resource Science, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Pollution Control and Resource Recycling of Fujian Province, Fujian Normal University, Fuzhou 350007, China; Digital Fujian Environmental Monitoring Internet of Things Laboratory, Fuzhou 350007, China
| | - Ling Zhen
- College of Environmental and Resource Science, Fujian Normal University, Fuzhou 350007, China.
| | - Xianzhong Wu
- Fuzhou Research Academy of Environmental Sciences, Fuzhou 350013, China
| | - Jiabing Li
- College of Environmental and Resource Science, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Pollution Control and Resource Recycling of Fujian Province, Fujian Normal University, Fuzhou 350007, China; Digital Fujian Environmental Monitoring Internet of Things Laboratory, Fuzhou 350007, China.
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