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Zhang Y, Gu X, Li X, Zhao Q, Hu X, Huang R, Xu J, Yin Z, Zhou Q, Li A, Shi P. Occurrence and risk assessment of azole fungicides during the urban water cycle: A year-long study along the Yangtze River, China. J Environ Sci (China) 2024; 141:16-25. [PMID: 38408817 DOI: 10.1016/j.jes.2023.11.011] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/12/2023] [Accepted: 11/12/2023] [Indexed: 02/28/2024]
Abstract
Azole fungicides (AFs) play an important role in the prevention and treatment of fungal diseases in agricultural crops. However, limited studies are addressing the fate and ecological risk of AFs in the urban water cycle at a large watershed scale. To address this gap, we investigated the spatiotemporal distribution and ecological risk of twenty AFs in the lower reaches of the Yangtze River across four seasons. Carbendazim (CBA), tebuconazole (TBA), tricyclazole (TCA), and propiconazole (PPA) were found to be the dominant compounds. Their highest concentrations were measured in January (188.3 ng/L), and November (2197.1 ng/L), July (162.0 ng/L), and November (1801.9 ng/L), respectively. The comparison between wastewater treatment plants (WWTPs) effluents and surface water suggested that industrial WWTPs are major sources of AFs in the Yangtze River. In particular, TBA and PPA were found to be the most recalcitrant AFs in industrial WWTPs, while difenoconazole (DFA) was found to be the most potent pollutant in municipal WWTPs, with an average removal rate of less than 60%. The average risk quotient (RQ) for the entire AFs was 6.45 in the fall, which was higher than in January (0.98), April (0.61), and July (0.40). This indicates that AFs in surface water posed higher environmental risks during the dry season. Additionally, the exposure risk of AFs via drinking water for sensitive populations deserves more attention. This study provides benchmark data on the occurrence of AFs in the lower reaches of the Yangtze River, and offers suggestions for better reduction of AFs.
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Affiliation(s)
- Yangyang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xinjie Gu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xiuwen Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| | - Qiuyun Zhao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xiaodong Hu
- Jiangsu Province Hydraulic Research Institute, Nanjing 210023, China
| | - Rui Huang
- Jiangsu Province Hydraulic Research Institute, Nanjing 210023, China
| | - Jixiong Xu
- Jiangsu Province Hydraulic Research Institute, Nanjing 210023, China
| | - Zilong Yin
- Jiangsu Province Hydraulic Research Institute, Nanjing 210023, China
| | - Qing Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Aimin Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peng Shi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
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Lou BF, Xie WM, Huang B, Liu MX. [Variation in Phosphorus Concentration and Flux at Zhutuo Section in the Yangtze River and Source Apportionment]. Huan Jing Ke Xue 2024; 45:159-172. [PMID: 38216468 DOI: 10.13227/j.hjkx.202302201] [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] [Subscribe] [Scholar Register] [Indexed: 01/14/2024]
Abstract
Phosphorus (P) is a pollutant of great concern in the Yangtze River Basin. The Xiangjiaba Reservoir and Xiluodu Reservoir on the lower reach of the Jinsha River began to operate in 2012 and 2013, respectively, which greatly changed the concentrations of suspended sediment and characteristics of P form and transport in the reservoirs and the downstream reach from Yibin to Jiangjin of the Yangtze River. The Zhutuo section is representative in the water quality of the Yibin-Jiangjin reach, which can not only reflect the comprehensive effects of the formation of the two reservoirs and changes in the aquatic environment in the Min-Tuo Rivers but also reflect the quality of water flowing into the Three Gorges Reservoir. The runoff, concentrations and fluxes of suspended sediments (SS), and P concentrations and fluxes at Zhutuo section were studied during 2002-2019, and the source of P was apportioned based on the principle of river base flow. The results showed that in the past 18 years, the concentrations and fluxes of total phosphorus (TP) and particulate phosphorus (PP) at Zhutuo section in the wet season were higher than those in the level and dry seasons; the rule of positive correlation between PP and SS concentrations remained unchanged. From 2002 to 2019, the concentrations and fluxes of TP, PP, and dissolved P (DP) generally increased first and then decreased, and the operation of the Xiangjiaba Reservoir was a time node for the trend turning. Compared with that in the period from 2002-2012, the SS concentration and flux decreased by 94% and 77%, TP and PP concentrations decreased by 46% and 70%, and TP and PP fluxes decreased by 58% and 74%, respectively, during 2014-2019. The decline mainly occurred in the wet season, followed by that in the level season. After the formation of the two reservoirs, the relationship between water and sediment and the form of P greatly changed, and the proportion of DP in TP increased significantly, whereas the proportion of PP was the opposite. The TP pool in overlying water in the dry and level seasons shifted from mainly particulate to mainly dissolved. The change in water and sediment conditions was the main driving force for the significant change in P concentration, flux, and form. Before the operation of the Xiangjiaba Reservoir, the Jinsha River was the maximum contributor to the whole and diffuse source part of the TP load at Zhutuo section among the contributing catchment sub-basins; however, the Minjiang River became the largest contributor after the operation. The average TP load at Zhutuo section from 2017-2019 was 3.575×104 t·a-1 (after deducting the natural background value), of which the contribution of diffuse sources and point sources accounted for 68% and 32%, respectively. The Minjiang River represented 49%, 43%, and 62% of the total TP load, diffuse source TP load, and point source TP load at Zhutuo section, respectively. Considering the load contribution and pollution intensity, the key area for P pollution control in the area upstream of the Three Gorges Reservoir was the Min-Tuo River Basin.
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Affiliation(s)
- Bao-Feng Lou
- Changjiang River Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang River Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, China
| | - Wei-Min Xie
- Changjiang River Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang River Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, China
| | - Bo Huang
- Changjiang River Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang River Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, China
| | - Min-Xuan Liu
- Changjiang River Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang River Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan 430010, China
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Jin Y, Zhou Q, Wang X, Zhang H, Yang G, Lei T, Mei S, Yang H, Liu L, Yang H, Lv J, Jiang Y. Heavy Metals in the Mainstream Water of the Yangtze River Downstream: Distribution, Sources and Health Risk Assessment. Int J Environ Res Public Health 2022; 19:ijerph19106204. [PMID: 35627741 PMCID: PMC9140839 DOI: 10.3390/ijerph19106204] [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] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 05/14/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022]
Abstract
Since the mainstream of the Yangtze River lower reach is an important drinking water source for residents alongside it, it is essential to investigate the concentration, distribution characteristics and health risks of heavy metals in the water. In this study, a total of 110 water samples were collected on both the left and right banks from the upstream to the downstream. Principal component analysis (PCA) was used to determine the sources of heavy metals. Their non-carcinogenic and carcinogenic risks were studied with health risk assessment models, and uncertainties were determined through Monte Carlo simulation. Results showed that concentrations of all heavy metals were significantly lower than the relevant authoritative standards in the studied area. From the upstream to the downstream, Ni, Cu and Cr had similar concentration distribution rules and mainly originated from human industrial activities. Pb, Cd and Zn had a fluctuating but increasing trend, which was mainly due to the primary geochemistry, traffic pollution and agricultural activities. The maximum As concentration appeared in the upstream mainly because of the carbonatite weathering or mine tail water discharge. Concentrations of Zn, As, Cd and Pb on the left bank were higher than those on the right bank, while concentrations of Cu, Ni and Cr on the right bank were higher than those on the left bank. The non-carcinogenic risk index (HI) was less than 1 (except of L11), and HI on the left bank was higher than that on the right bank. The carcinogenic risk (CR) was generally larger than 1.0 × 10−4, CR on the right bank overall was higher than that on the left bank, and the health risk of kids was greater than that of adults. Furthermore, Monte Carlo simulation results and the actual calculated values were basically the same.
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Affiliation(s)
- Yang Jin
- Chinese Academy of Geological Sciences, Beijing 100037, China; (Y.J.); (L.L.)
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Quanping Zhou
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Xiaolong Wang
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
| | - Hong Zhang
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Guoqiang Yang
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
| | - Ting Lei
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
| | - Shijia Mei
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Hai Yang
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Lin Liu
- Chinese Academy of Geological Sciences, Beijing 100037, China; (Y.J.); (L.L.)
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Hui Yang
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Jinsong Lv
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
| | - Yuehua Jiang
- Chinese Academy of Geological Sciences, Beijing 100037, China; (Y.J.); (L.L.)
- Nanjing Center, China Geological Survey, Nanjing 210016, China; (Q.Z.); (H.Z.); (G.Y.); (T.L.); (S.M.); (H.Y.); (H.Y.); (J.L.)
- Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
- Correspondence:
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Shi H, Gao C, Dong C, Xia C, Xu G. Variation of River Islands around a Large City along the Yangtze River from Satellite Remote Sensing Images. Sensors (Basel) 2017; 17:E2213. [PMID: 28953218 DOI: 10.3390/s17102213] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 09/05/2017] [Accepted: 09/21/2017] [Indexed: 11/20/2022]
Abstract
River islands are sandbars formed by scouring and silting. Their evolution is affected by several factors, among which are runoff and sediment discharge. The spatial-temporal evolution of seven river islands in the Nanjing Section of the Yangtze River of China was examined using TM (Thematic Mapper) and ETM (Enhanced Thematic Mapper)+ images from 1985 to 2015 at five year intervals. The following approaches were applied in this study: the threshold value method, binarization model, image registration, image cropping, convolution and cluster analysis. Annual runoff and sediment discharge data as measured at the Datong hydrological station upstream of Nanjing section were also used to determine the roles and impacts of various factors. The results indicated that: (1) TM/ETM+ images met the criteria of information extraction of river islands; (2) generally, the total area of these islands in this section and their changing rate decreased over time; (3) sediment and river discharge were the most significant factors in island evolution. They directly affect river islands through silting or erosion. Additionally, anthropocentric influences could play increasingly important roles.
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Wang M, Liu F, Lin P, Yang S, Liu H. Evolutionary dynamics of ecological niche in three Rhinogobio fishes from the upper Yangtze River inferred from morphological traits. Ecol Evol 2015; 5:567-77. [PMID: 25691981 PMCID: PMC4328762 DOI: 10.1002/ece3.1386] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 12/03/2014] [Indexed: 11/29/2022] Open
Abstract
In the past decades, it has been debated whether ecological niche should be conserved among closely related species (phylogenetic niche conservatism, PNC) or largely divergent (traditional ecological niche theory and ecological speciation) and whether niche specialist and generalist might remain in equilibrium or niche generalist could not appear. In this study, we employed morphological traits to describe ecological niche and test whether different niche dimensions exhibit disparate evolutionary patterns. We conducted our analysis on three Rhinogobio fish species (R. typus,R. cylindricus, and R. ventralis) from the upper Yangtze River, China. Among the 32 measured morphological traits except body length, PCA extracted the first four principal components with their loading scores >1.000. To find the PNC among species, Mantel tests were conducted with the Euclidean distances calculated from the four principal components (representing different niche dimensions) against the pairwise distances calculated from mitochondrial cytochrome b sequence variations. The results showed that the second and the third niche dimension, both related to swimming ability and behavior, exhibited phylogenetic conservatism. Further comparison on niche breadth among these three species revealed that the fourth dimension of R. typus showed the greatest width, indicating that this dimension exhibited niche generalism. In conclusion, our results suggested that different niche dimensions could show different evolutionary dynamic patterns: they may exhibit PNC or not, and some dimensions may evolve generalism.
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Affiliation(s)
- Meirong Wang
- Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; University of Chinese Academy of Sciences Beijing, 100039, China
| | - Fei Liu
- Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences Wuhan, Hubei, 430072, China
| | - Pengcheng Lin
- Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences Wuhan, Hubei, 430072, China
| | - Shaorong Yang
- Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; China Three Gorges Corporation Chengdu, Sichuan, 610041, China
| | - Huanzhang Liu
- Institute of Hydrobiology, Chinese Academy of Sciences Wuhan, Hubei, 430072, China ; The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences Wuhan, Hubei, 430072, China
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