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Kawashima H, Yoshida O, Joy KS, Raju RA, Islam KN, Jeba F, Salam A. Sources identification of ammonium in PM 2.5 during monsoon season in Dhaka, Bangladesh. Sci Total Environ 2022; 838:156433. [PMID: 35660591 DOI: 10.1016/j.scitotenv.2022.156433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/21/2022] [Accepted: 05/30/2022] [Indexed: 06/15/2023]
Abstract
Ammonia (NH3) is taken up by fine particulate matter (PM2.5), and there are concerns about its impact on the environment and health. The source of NH3, which was thought to be of agricultural sources, has recently been suspected to be non-agricultural sources in urban areas. Here, we collected PM2.5 during the monsoon season in Dhaka, Bangladesh, the most polluted city in the world, and analyzed the δ15N-NH4+ in PM2.5. As the result, the δ15N-NH4+ ranged from 9.2 ‰ to 34.4 ‰ (average: 20.7 ± 4.8 ‰), the highest of any of the averaged values annual reported in previous researches. In order to perform source analysis, the NH3 concentrations were estimated using the thermodynamic model ISORROPIA-II. The estimated concentration of NH3 gas averaged 40.8 μg/m3 (3.0-154.6 μg/m3). The contributions calculated with the mixing model to the δ15N-NH4+ values in PM2.5 in Dhaka, Bangladesh averaged 25.3 ± 14 %, 22.8 ± 10 %, 26.5 ± 15 %, and 25.4 ± 10 % for waste, fertilizer, NH3 slip, and fossil fuel combustion, respectively. Non-agricultural sources (NH3 slip, and fossil fuel combustion) accounted for almost half (51.9 %) of the contributions. In addition, the several validation tests of the isotope mixing model were also performed. For validating the uncorrected and corrected source data for δ15N-NH3, the contribution of non-agricultural sources with uncorrected source data would have been very high (>80 %), much higher than the corrected source data.
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Affiliation(s)
- Hiroto Kawashima
- Department of Management Science and Engineering, Faculty of Systems Science & Technology, Akita Prefectural University, 015-0055 Akita, Japan.
| | - Otoha Yoshida
- Department of Management Science and Engineering, Faculty of Systems Science & Technology, Akita Prefectural University, 015-0055 Akita, Japan
| | - Khaled Shaifullah Joy
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Rasel Ahammed Raju
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Kazi Naimul Islam
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Farah Jeba
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Abdus Salam
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh
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Zhang K, Wu Y, Su Y, Li H. Implication of quantifying nitrate utilization and CO 2 assimilation of Brassica napus plantlets in vitro under variable ammonium/nitrate ratios. BMC Plant Biol 2022; 22:392. [PMID: 35931951 PMCID: PMC9356413 DOI: 10.1186/s12870-022-03782-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Plantlets grown in vitro with a mixed nitrogen source utilize sucrose and CO2 as carbon sources for growth. However, it is very difficult to obtain the correct utilization proportions of nitrate, ammonium, sucrose and CO2 for plantlets. Consequently, the biological effect of ammonium/nitrate utilization, the biological effect of sucrose/CO2 utilization, and the ammonium/nitrate use efficiency for new C input derived from CO2 assimilation/sucrose utilization are still unclear for plantlets. RESULTS The bidirectional stable nitrogen isotope tracer technique quantified the proportions of assimilated nitrate and ammonium in Brassica napus plantlets grown at different ammonium/nitrate ratios. The utilization proportions of sucrose and CO2 could be quantified by a two end-member isotope mixing model for Bn plantlets grown at different ammonium/nitrate ratios. Under the condition that each treatment contained 20 mM ammonium, the proportion of assimilated nitrate did not show a linear increase with increasing nitrate concentration for Bn plantlets. Moreover, the proportion of assimilated CO2 did not show a linear relationship with the nitrate concentration for Bn plantlets. Increasing the nitrate concentration contributed to promoting the assimilation of ammonium and markedly enhanced the ammonium utilization coefficient for Bn plantlets. With increasing nitrate concentration, the amount of nitrogen in leaves derived from nitrate assimilation increased gradually, while the nitrate utilization coefficient underwent no distinct change for Bn plantlets. CONCLUSIONS Quantifying the utilization proportions of nitrate and ammonium can reveal the energy efficiency for N assimilation in plantlets grown in mixed N sources. Quantifying the utilization proportion of CO2 contributes to evaluating the photosynthetic capacity of plantlets grown with variable ammonium/nitrate ratios. Quantifying the utilization proportions of nitrate, ammonium, sucrose and CO2 can reveal the difference in the ammonium/nitrate use efficiency for new C input derived from CO2 assimilation/sucrose utilization for plantlets grown at variable ammonium/nitrate ratios.
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Affiliation(s)
- Kaiyan Zhang
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, 550001 China
| | - Yanyou Wu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, No. 99 Lincheng West Road, Guanshanhu District, Guiyang, Guizhou Province 550081 People’s Republic of China
| | - Yue Su
- Department of Agricultural Engineering, Guizhou Vocational College of Agriculture, Qingzhen, 551400 China
| | - Haitao Li
- Department of Agricultural Engineering, Guizhou Vocational College of Agriculture, Qingzhen, 551400 China
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Kang P, Li S, Wang F, Zhao H, Lv S. Use of multiple isotopes to evaluate nitrate dynamics in groundwater under the barrier effect of underground cutoff walls. Environ Sci Pollut Res Int 2021; 28:7076-7089. [PMID: 33025438 DOI: 10.1007/s11356-020-10792-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
Underground cutoff walls are useful in conserving groundwater and preventing seawater intrusion in coastal regions. However, the environmental effects of human activities on groundwater quality in the upstream area of the underground cutoff wall over the long term are not clear. In this study, combined analysis of multiple isotopes (δ15N-NO3-, δ18O-NO3-, δ2H, and δ18O-H2O) and nitrate concentrations was used to assess the effect of underground cutoff walls on nitrogen dynamics in groundwater in an agricultural area in China. We sampled groundwater wells in the upstream and downstream areas of the underground walls in April, July, and September. The results indicated that the underground cutoff walls hampered the horizontal groundwater flow, making the upstream groundwater a closed system, which led to an increase in the nitrate concentration and accelerated nitrification processes. Manure was the main nitrate source in the upstream groundwater, and its levels in the groundwater were similar during the three seasons, indicating that there was no difference in the nitrate sources in the upstream groundwater among the three seasons. Hence, further management measures for manure application may be critical for groundwater protection in the upstream area of underground cutoff walls.
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Affiliation(s)
- Pingping Kang
- Department of Water Conservancy Engineering, North China University of Water Conservancy and Electric Power, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
- Collaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
| | - Shaopeng Li
- Department of Water Conservancy Engineering, North China University of Water Conservancy and Electric Power, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
| | - Fuqiang Wang
- Department of Water Conservancy Engineering, North China University of Water Conservancy and Electric Power, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China.
- Henan Key Laboratory of Water Environment Simulation and Treatment, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China.
| | - Heng Zhao
- Department of Water Conservancy Engineering, North China University of Water Conservancy and Electric Power, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
| | - Subing Lv
- Department of Water Conservancy Engineering, North China University of Water Conservancy and Electric Power, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
- Collaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Jinshuidong Road 36, Zhengzhou, 450046, Henan Province, People's Republic of China
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Jiang H, Lan W, Li T, Xu Z, Liu W, Pan K. Isotopic Composition Reveals the Impact of Oyster Aquaculture on Pelagic Nitrogen Cycling in a Subtropical Estuary. Water Res 2020; 187:116431. [PMID: 33007671 DOI: 10.1016/j.watres.2020.116431] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/10/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
Abstract
To offset estuarine eutrophication, interest is increasing in restoring oyster reefs and expanding oyster aquaculture. However, ecosystem-scale evidence is lacking on oyster assemblages' impacts on estuarine pelagic nitrogen (N) cycling. Using a multiple-isotope approach and isotope-mixing model, we examined the sources, transformations, and influence of intensive oyster aquaculture on N pollution in a subtropical estuary. The salinity-dependent NO3- and NH4+ concentrations and their correlations with isotopic signals (δ15N-NO3-, δ18O-NO3-, δ15N-NH4+) indicated the nutrient spatial distribution in low-salinity areas was largely regulated by mixing between freshwater and seawater. However, the intensive oyster aquaculture greatly increased nitrification in the estuary. In high-salinity areas where oyster assemblages were absent, the assimilation of NO3- by phytoplankton became dominant and sharply increased the δ15N-NO3- and δ18O-NO3-. Soil organic nitrogen and fertilizer, domestic sewage, and wastewater treatment plants were the major NO3- sources in the estuary, while internal nitrification contributed 20.6% to the NO3- pool. Oyster biodeposits comprised up to one-third of the particulate organic matter in the water column, and as much as 47.3% of the NH4+ pool could be from the oysters. Our study shows that oysters significantly contribute to the pelagic nutrient pools and N transformations, adding an important dimension to our understanding of oyster assemblages' impacts on estuarine N cycling.
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Affiliation(s)
- Hao Jiang
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China; College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Wenlu Lan
- Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Sciences, Beihai 536000, China; Marine Environmental Monitoring Center of Guangxi, Beihai 536000, China
| | - Tianshen Li
- Marine Environmental Monitoring Center of Guangxi, Beihai 536000, China
| | - Zhifang Xu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
| | - Wenjing Liu
- Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
| | - Ke Pan
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
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Bhattarai N, Wang S, Xu Q, Dong Z, Chang X, Jiang Y, Zheng H. Sources of gaseous NH 3 in urban Beijing from parallel sampling of NH 3 and NH 4+, their nitrogen isotope measurement and modeling. Sci Total Environ 2020; 747:141361. [PMID: 32799025 DOI: 10.1016/j.scitotenv.2020.141361] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/26/2020] [Accepted: 07/27/2020] [Indexed: 05/25/2023]
Abstract
Atmospheric gaseous ammonia (NH3) is the most abundant alkaline gas in the atmosphere while aerosol ammonium (NH4+) constitutes a majority of the inorganic cation concentration in total PM2.5 mass and plays a vital role in severe haze formation. This study tried to shed some light on sources of gaseous NH3 through integrating the parallel measurements of δ15N values in NH4+ and ambient NH3, NH3 source signature measurement, IsoSource model, and chemistry and transport model (CTM). As a result, predicted initial δ15N (NH3) values ranging from -42.0‰ to -4.9‰ were derived from daily δ15N(NH4+) values of fine particulate NH4+, and δ15N(NH3) values ranging from -26.8‰ to -17.2‰ were obtained from weekday/weekend δ15N(NH3) values, respectively. During summer, non-agricultural sources (e.g. fossil fuel sources, urban waste) contributed 63% to ambient NH3 in urban Beijing, derived from δ15N(NH3) values whereas 64% to ambient NH3, derived from δ15N(NH4+) values. These results suggested that non-agricultural sources were main contributors to gaseous NH3 even during summer and agricultural sources were not likely the main source of gaseous NH3 in urban Beijing. To further reduce the uncertainty of isotope-based source apportionment results, more laboratory and field studies are necessary to refine the δ15N(NH3) source profile of NH3 using validated collection technique as overlapping exist between δ15N(NH3) values in agricultural sources such as livestock breeding waste (-42.5‰ to -29.1‰) and fertilizer application (-51.5‰ to -35.0‰).
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Affiliation(s)
- Noshan Bhattarai
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Qingcheng Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Zhaoxin Dong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xing Chang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yueqi Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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Huang S, Jiang R, Song Q, Zhang Y, Huang Q, Su B, Chen Y, Huo Y, Lin H. Study of mercury transport and transformation in mangrove forests using stable mercury isotopes. Sci Total Environ 2020; 704:135928. [PMID: 31838299 DOI: 10.1016/j.scitotenv.2019.135928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/02/2019] [Accepted: 12/02/2019] [Indexed: 06/10/2023]
Abstract
Mangrove forests are important wetland ecosystems that are a sink for mercury from tides, rivers and precipitation, and can also be sources of mercury production and export. Natural abundance mercury stable isotope ratios have been proven to be a useful tool to investigate mercury behavior in various ecosystems. In this study, mercury isotopic data were collected from seawater, sediments, air, and plant tissues in two mangrove forests in Guangxi and Fujian provinces, China, to study the transport and transformation of mercury in mangrove sediments. The mangroves were primarily subject to mercury inputs from external sources, such as anthropogenic activities, atmospheric deposition, and the surrounding seawater. An isotope mixing model based on mass independent fractionation (MIF) estimated that the mangrove wetland ecosystems accounted for <40% of the mercury in the surrounding seawater. The mercury in plant root tissues was derived mainly from sediments and enriched with light mercury isotopes. The exogenous mercury inputs from the fallen leaves were diluted by seawater, leading to a positive Δ199Hg offset between the fallen leaves and sediments. Unlike river and lake ecosystems, mangrove ecosystems are affected by tidal action, and the δ202Hg and Δ199Hg values of sediments were more negative than that of the surrounding seawater. The isotopic signature differences between these environmental samples were partially due to isotope fractionation driven by various physical and chemical processes (e.g., sorption, photoreduction, deposition, and absorption). These results contribute to a better understanding of the biogeochemical cycling of mercury in mangrove wetland ecosystems.
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Affiliation(s)
- Shuyuan Huang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Ronggen Jiang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Qingyong Song
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, China
| | - Yuanbiao Zhang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
| | - Qi Huang
- Guangxi Shankou Mangrove Nature Reserve, Beihai 536000, China
| | - Binghuan Su
- Guangxi Shankou Mangrove Nature Reserve, Beihai 536000, China
| | - Yaojin Chen
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, China
| | - Yunlong Huo
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Hui Lin
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
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7
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Xu Y, Xiao H, Wu D. Traffic-related dustfall and NO x, but not NH 3, seriously affect nitrogen isotopic compositions in soil and plant tissues near the roadside. Environ Pollut 2019; 249:655-665. [PMID: 30933763 DOI: 10.1016/j.envpol.2019.03.074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 03/18/2019] [Indexed: 06/09/2023]
Abstract
Ammonia (NH3) emissions from traffic have received particular attention in recent years because of their important contributions to the growth of secondary aerosols and the negative effects on urban air quality. However, few studies have been performed on the impacts of traffic NH3 emissions on adjacent soil and plants. Moreover, doubt remains over whether dry nitrogen (N) deposition still contributes a minor proportion of plant N nutrition compared with wet N deposition in urban road environments. This study investigated the δ15N values of road dustfall, soil, moss, camphor leaf and camphor bark samples collected along a distance gradient from the road, suggesting that samples collected near the road have significantly more positive δ15N values than those of remote sites. According to the SIAR model (Stable Isotope Analysis in R) applied to dustfall and moss samples from the roadside, it was found that NH3 from traffic exhaust (8.8 ± 7.1%) contributed much less than traffic-derived NO2 (52.2 ± 10.0%) and soil N (39.0 ± 13.8%) to dustfall bulk N; additionally, 68.6% and 31.4% of N in mosses near the roadside could be explained by dry N deposition (only 20.4 ± 12.5% for traffic-derived NH3) and wet N deposition, respectively. A two-member mixing model was used to analyse the δ15N in continuously collected mature camphor leaf and camphor bark samples, which revealed a similarity of the δ15N values of plant-available deposited N to 15N-enriched traffic-derived NOx-N. We concluded that a relatively high proportion of N inputs in urban road environments was contributed by traffic-related dustfall and NOx rather than NH3. These information provide useful insights into reducing the impacts of traffic exhaust on adjacent ecosystems and can assist policy makers in determining the reconstruction of a monitoring network for N deposition that reaches the road level.
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Affiliation(s)
- Yu Xu
- Key Laboratory of Poyang Lake Environment and Resource Utilization of Ministry of Education, School of Resource, Environmental and Chemical Engineering, Nanchang University, Nanchang, Jiangxi 330031, China
| | - Huayun Xiao
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, No. 99, Linchengxi Road, Guiyang 550081, China.
| | - Daishe Wu
- Key Laboratory of Poyang Lake Environment and Resource Utilization of Ministry of Education, School of Resource, Environmental and Chemical Engineering, Nanchang University, Nanchang, Jiangxi 330031, China.
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Upadhayay HR, Smith HG, Griepentrog M, Bodé S, Bajracharya RM, Blake W, Cornelis W, Boeckx P. Community managed forests dominate the catchment sediment cascade in the mid-hills of Nepal: A compound-specific stable isotope analysis. Sci Total Environ 2018; 637-638:306-317. [PMID: 29751311 DOI: 10.1016/j.scitotenv.2018.04.394] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 04/29/2018] [Accepted: 04/29/2018] [Indexed: 06/08/2023]
Abstract
Soil erosion by water is critical for soil, lake and reservoir degradation in the mid-hills of Nepal. Identification of the nature and relative contribution of sediment sources in rivers is important to mitigate water erosion within catchments and siltation problems in lakes and reservoirs. We estimated the relative contribution of land uses (i.e. sources) to suspended and streambed sediments in the Chitlang catchment using stable carbon isotope signature (δ13C) of long-chain fatty acids as a tracer input for MixSIAR, a Bayesian mixing model used to apportion sediment sources. Our findings reveal that the relative contribution of land uses varied between suspended and streambed sediment, but did not change over the monsoon period. Significant over- or under-prediction of source contributions could occur due to overlapping source tracer values, if source groups are classified on a catchment-wide basis. Therefore, we applied a novel deconvolutional framework of MixSIAR (D-MixSIAR) to improve source apportionment of suspended sediment collected at tributary confluences (i.e. sub-catchment level) and at the outlet of the entire catchment. The results indicated that the mixed forest was the dominant (41 ± 13%) contributor of sediment followed by broadleaf forest (15 ± 8%) at the catchment outlet during the pre-wet season, suggesting that forest disturbance as well as high rainfall and steep slopes interact for high sediment generation within the study catchment. Unpaved rural road tracks located on flat and steep slopes (11 ± 8 and 9 ± 7% respectively) almost equally contributed to the sediment. Importantly, agricultural terraces (upland and lowland) had minimal contribution (each <7%) confirming that proper terrace management and traditional irrigation systems played an important role in mitigating sediment generation and delivery. Source contributions had a small temporal, but large spatial, variation in the sediment cascade of Chitlang stream. D-MixSIAR provided significant improvement regarding spatially explicit sediment source apportionment within the entire catchment system. This information is essential to prioritize implementation measures to control erosion in community managed forests to reduce sediment loadings to Kulekhani hydropower reservoir. In conclusion, using compound-specific stable isotope (CSSI) tracers for sediment fingerprinting in combination with a deconvolutional Bayesian mixing model offers a versatile approach to deal with the large tracer variability within catchment land uses and thus to successfully apportion multiple sediment sources.
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Affiliation(s)
- Hari Ram Upadhayay
- Isotope Bioscience Laboratory - ISOFYS, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium; Aquatic Ecology Center (AEC), School of Science, Kathmandu University, Dhulikhel, Nepal..
| | - Hugh G Smith
- Landcare Research, Private Bag 11052, Palmerston North 4442, New Zealand
| | - Marco Griepentrog
- Isotope Bioscience Laboratory - ISOFYS, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium; Biogeoscience, Department of Earth Sciences, ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
| | - Samuel Bodé
- Isotope Bioscience Laboratory - ISOFYS, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium
| | | | - William Blake
- School of Geography, Earth and Environmental Sciences, Plymouth University, Plymouth, Devon PL4 8AA, UK
| | - Wim Cornelis
- Soil Physics Group, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium
| | - Pascal Boeckx
- Isotope Bioscience Laboratory - ISOFYS, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium
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Huang S, Pu J, Cao J, Li J, Zhang T, Jiang F, Li L, Wu F, Pan M, Bai B. Origin and effect factors of sedimentary organic carbon in a karst groundwater-fed reservoir, South China. Environ Sci Pollut Res Int 2018; 25:8497-8511. [PMID: 29308576 DOI: 10.1007/s11356-017-1001-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/10/2017] [Indexed: 06/07/2023]
Abstract
Reservoirs are commonly recharged by groundwater that is rich in bicarbonate ions in karst regions of South China, and the recharge of this groundwater to the reservoir can affect the biogeochemical processes of carbon sedimentation at the reservoir bottom. In this study, Dalongdong Reservoir, which is mainly recharged by two subterranean streams, was investigated based on a 42-cm-thick sedimentary core and the 210Pb/137Cs dating technique and isotope analyses to understand the sedimentary history and identify the carbon sources. The 210Pb/137Cs age model showed that the sediments were accumulated over the last 60 years. The annual increase precipitation and temperature showed no obvious change compared with trends of δ13C in total organic carbon (δ13Corg), δ15N values in total nitrogen, and the carbon and nitrogen ratio (C/N). This shows that climate was not the main control of the variation in sediment factors. Based on δ13Corg, δ15N, C/N, and isotopic mixing modeling, sources of organic carbon in the sediments were derived from plankton (60.84%), soil (22.93%), waste water (14.56%), and terrestrial plants (1.67%). From 1958 to 1978, reservoir establishment and leakage affected the contribution of the four sources. The contribution of the plankton source increased from 1978 to 2015, resulting from change of water level and continued input of external nitrogen. However, because of the revegetation supplied by an economic aid project the contribution of soil showed a considerable decreasing trend from 1978 to 2002. After 2002, For "Grain for Green" project, the contribution from soil further decreased. After reservoir construction, the contribution of waste water stabilized. The contribution of terrestrial plants started increased rapidly after 2002. Karst groundwater, which contains more dissolved inorganic carbon containing lower δ13CDIC than the water sources of other lakes or reservoirs, makes the δ13Corg value of sediment more negative by phytoplankton photosynthesis in the reservoir.
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Affiliation(s)
- Siyu Huang
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
| | - Junbing Pu
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China.
| | - Jianhua Cao
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China.
| | - Jianhong Li
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
| | - Tao Zhang
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
- Chongqing Key Laboratory of Karst Environment, School of Geography Sciences, Southwest University, Chongqing, 400715, China
| | - Feng Jiang
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China
| | - Li Li
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
- Chongqing Key Laboratory of Karst Environment, School of Geography Sciences, Southwest University, Chongqing, 400715, China
| | - Feihong Wu
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
- Chongqing Key Laboratory of Karst Environment, School of Geography Sciences, Southwest University, Chongqing, 400715, China
| | - Moucheng Pan
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
| | - Bing Bai
- Key Laboratory of Karst Dynamics, MLR & Guangxi, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin, 541004, China
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