Assessment of grey water footprint pressure in the Yangtze River basin and its relationship with water quality DOI
Yubo Zhou, Cong Wang,

Xiaoyu Guo

и другие.

Deleted Journal, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Using multiple machine learning algorithms to optimize the water quality index model and their applicability DOI Creative Commons
Fei Ding, Shilong Hao, Wenjie Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113299 - 113299

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Effects of combined ecological restoration measures on water quality and underwater light environment of Qingshan Lake, an urban eutrophic lake in China DOI Creative Commons

Xiaowen Lin,

Xiaodong Wu, Jianying Chao

и другие.

Ecological Indicators, Год журнала: 2024, Номер 163, С. 112107 - 112107

Опубликована: Май 13, 2024

Ecological restoration is vital in the management of eutrophic lakes. However, effect combined ecological measures on improvement water quality and light environment urban lakes requires further exploration. This study considered Qingshan Lake, a typical lake middle reaches Yangtze River China explored changes before after implementation from 2021 to 2022. The results showed that: (1) significantly improved transparency Lake (P < 0.05), with increased 33.1 cm 96.0 cm. Total phosphorus, total nitrogen, chlorophyll a, permanganate index, suspended solids turbidity decreased by 52.11 %, 65.47 73.84 92.11 83.11 % 77.52 %; respectively 0.05). (2) Following restoration, converted severe eutrophication mesotrophication, trophic level index 75.29 49.65 (3) had significant improving underwater environments. After attenuation coefficient changed between 1.61–3.12 m−1, annual mean value 61.96 euphotic zone depth 1.85 6.19 m, an increase 167.68 %. (4) reduced blue light, which red-blue ratio (R/B) water. In general, greatest impact R/B multiple positive

Язык: Английский

Процитировано

5
Seasonal and interannual changes (2005–2021) of lake water quality and the implications for sustainable management in a rapidly growing metropolitan region, central China DOI

Hongjia Chen,

Shenxin Zhao,

Junlu Li

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(25), С. 36995 - 37009

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

4
Quantifying seasonal variations in pollution sources with machine learning-enhanced positive matrix factorization DOI Creative Commons

Yaotao Xu,

Peng Li,

Minghui Zhang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112543 - 112543

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

4
Macro-environment oscillation notably up risk of water quality degradation: A case study in Shanxi Reservoir, China DOI Creative Commons
Wangwei Cai,

Jihong Xia,

Zewen Liu

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113066 - 113066

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Evaluating the symbiotic interface for city-lake synergy: Evidence from Kunming city and Dianchi Lake in Southwest China (1990–2020) DOI
Yanmei Zhou, Jun Qi, Roger Y. W. Tang

и другие.

Habitat International, Год журнала: 2025, Номер 156, С. 103303 - 103303

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0
An improved graph neural network integrating indicator attention and spatio-temporal correlation for dissolved oxygen prediction DOI Creative Commons
Fei Ding, Shilong Hao,

Mingcen Jiang

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103126 - 103126

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Integrating Land Use Changes, Biomass Dynamics, and Water Quality for Wetland Restoration: A Case Study of Chaohu Lake Shibalianwei Wetland, China DOI Open Access

Sajida,

Changming Yang,

Wazir Aitizaz Ahsan

и другие.

Journal of Geoscience and Environment Protection, Год журнала: 2025, Номер 13(04), С. 366 - 392

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Prediction of Future Chlorophyll‐a Concentrations in Large Eutrophic Shallow Lakes Under Multiple Stressors DOI Creative Commons
Zhen Wei, Yanxin Yu, Yujun Yi

и другие.

Earth s Future, Год журнала: 2025, Номер 13(5)

Опубликована: Май 1, 2025

Abstract Assessing future chlorophyll‐a (Chl‐a) changes is crucial for developing effective lake management programs. Future assessments should integrate socio‐economic and climatic factors, including extreme climate impacts. However, such are lacking. This study developed a novel framework integrated model to analyze Chl‐a response in Chaohu Lake (e.g., precipitation, temperature, wind) population, fertilizer application, livestock farming). The results indicated that by around 2050, the concentration would change −6.5% −0.1% compared 2020. While factors significantly altered nitrogen phosphorus loading, exogenous loading had minimal effect on due high endogenous releases. decrease mainly increase precipitation. reduction was primarily driven increased precipitation (0.6%–12.9%), leading −9.4% −4.4% changes. runoff also provided an opportunity treat heavily polluted area. Air temperature increases of 5.1%–9.2% resulted 0.9%–3.1%. On annual scales effects were mean values. variability significant at seasonal scales, example, lower spring temperatures favored summer Chl‐a. There uncertainty about impact wind speeds. emphasized importance comprehensively quantifying impacts external pressures water quality assessment reference pathway support large, shallow lakes.

Язык: Английский

Процитировано

0
A novel nonlinear direct-mapping approach for multiple time scale driving force analysis of surface water quality variations under intense human interference DOI
Yelin Wang,

Yanpeng Cai,

Bowen Li

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 122022 - 122022

Опубликована: Авг. 5, 2024

Язык: Английский

Процитировано

3