Estimation of hydrochemical profile and trophic status of a coastal Ramsar site in south west coast of India DOI

M.K. Vishnu Sagar,

Sabu Joseph,

P.S. Arunkumar

et al.

Regional Studies in Marine Science, Journal Year: 2024, Volume and Issue: 78, P. 103740 - 103740

Published: Aug. 23, 2024

Language: Английский

Impact of cascade reservoirs on nutrients transported downstream and regulation method based on hydraulic retention time DOI
Baolong Zhao, Qinghui Zeng, Jianhua Wang

et al.

Water Research, Journal Year: 2024, Volume and Issue: 252, P. 121187 - 121187

Published: Jan. 24, 2024

Language: Английский

Citations

19
Nutrient changes in the Bohai Sea over the past two decades DOI
Wen Liang,

Yan Wang,

J B Mu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 903, P. 166696 - 166696

Published: Sept. 1, 2023

Language: Английский

Citations

18
Surface-Water Nitrate Exposure to World Populations Has Expanded and Intensified during 1970–2010 DOI Creative Commons
Junjie Wang, Xiaochen Liu, Arthur Beusen

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(48), P. 19395 - 19406

Published: Nov. 21, 2023

Excessive nitrate in surface waters deteriorates the water quality and threatens human health. Human activities have caused increased concentrations global over past 50 years. An assessment of long-term trajectory surface-water exposure to world populations associated potential health risks is imperative but lacking. Here, we used spatially explicit data on population density, combination with thresholds for from epidemiological studies, quantify changes at multiple spatial scales. During 1970–2010, potentially affected by acute 6 60 million persons per year, while chronic 169 1361 year. Potential increasingly Asian countries. Populations shifted dominance high-income countries (in Europe North America) middle-income Asia Africa). To mitigate adverse effects exposure, anthropogenic nitrogen inputs natural environments should be drastically reduced. International national standards maximum contamination may need lowered.

Language: Английский

Citations

17
Increasing cascade dams in the upstream area reduce nutrient inputs to the Three Gorges Reservoir in China DOI
Ying Sun, Mengru Wang, Jing Yang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171683 - 171683

Published: March 15, 2024

Language: Английский

Citations

4
Multi-machine learning methods to predict spatial variation characteristics of total nitrogen at watershed scale: Evidences from the largest watershed (Yangtze River Watershed), Asian DOI
Xihua Wang, Xunming Ji, Y. Jun Xu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175144 - 175144

Published: July 31, 2024

Language: Английский

Citations

4
Seasonal and interannual variations of nutrients in the Subei Shoal and their implication for the world's largest green tide DOI
Xiaona Chen, Zhigang Yu, Fu Yi

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175390 - 175390

Published: Aug. 9, 2024

Language: Английский

Citations

4
Deciphering the impact of cascade reservoirs on nitrogen transport and nitrate transformation: Insights from multiple isotope analysis and machine learning DOI

Yufei Bao,

Yuchun Wang, Mingming Hu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122638 - 122638

Published: Oct. 16, 2024

Language: Английский

Citations

4
Spatial and temporal distribution characteristics and source apportionment of biogenic elements using APCS-MLR model in the main inlet tributary of Danjiangkou Reservoir DOI

Yihang Wu,

Qianzhu Zhang,

Yuan Luo

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Language: Английский

Citations

0
Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning DOI Creative Commons
Guoyin Cai, Jiamei Zhang, Wan‐Lu Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113217 - 113217

Published: Feb. 1, 2025

Language: Английский

Citations

0
Time Series Analysis for the Adaptive Prediction of Total Phosphorus in the Yangtze River: A Machine Learning Approach DOI Open Access
Tianqi Ma,

Xing Chen

Water, Journal Year: 2025, Volume and Issue: 17(4), P. 603 - 603

Published: Feb. 19, 2025

Accurate prediction of total phosphorus (TP) in water quality is critical for monitoring ecosystem stability and eutrophication status. However, the distribution natural environmental data such as tends to undergo complex changes over time. Stable reliable results not only require a certain degree periodicity but also that TP model be highly adaptable random fluctuations distributional drifts data. Therefore, it challenge adapt models drift In this study, spatial temporal variations Yangtze River from 2019 2023 were described detail. Using mining techniques, time series analyzed generate forecast dataset focusing on fluctuations. By comparing various models, MTS-Mixers was finally selected experimental baseline different modes used prediction. The show after parameter adjustment, can achieve high accuracy (MAE: 0.145; MSE: 0.277), which guarantee at 20 steps. These research comprehensively reliably predicted provided effective methods tools management. They provide scientific basis protection improvement Basin help formulation implementation relevant policies promote sustainable development environment. addition, study confirms applicability machine learning hydrological responding changes.

Language: Английский

Citations

0