Sustainable governance of drinking water conservation areas based on adaptive thresholds DOI
Zhifang Wang,

Angshuo Zhan,

Yunzhu Tao

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119605 - 119605

Published: Dec. 3, 2023

Language: Английский

Spatiotemporal comprehensive evaluation of water quality based on enhanced variable fuzzy set theory: A case study of a landfill in karst area DOI

Yu Yang,

Bo Li, Chaoyi Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141882 - 141882

Published: March 29, 2024

Language: Английский

Citations

10

An integrated framework consisting of spatiotemporal evolution and driving force analyses for early warning management of water quality DOI

Jianying Cai,

Xuan Wang, Yanpeng Cai

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 462, P. 142628 - 142628

Published: May 19, 2024

Language: Английский

Citations

7

Unraveling the impacts of multiscale landscape patterns and socioeconomic development on water quality: A case study of the National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China DOI Creative Commons

Xuefu Pu,

Qingping Cheng

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 51, P. 101660 - 101660

Published: Jan. 19, 2024

National Sustainable Development Agenda Innovation Demonstration Zone in Lincang City, Southwest China Revealing the current water quality status rivers and reservoirs its drivers is crucial to achieving United Nations Goal 6 (SDG 6). We assessed spatial-temporal dynamics influence of natural socioeconomic factors on index (WQI) parameters using redundancy analysis (RDA) partial least squares path model (PLSPM). The results indicate following. (1) annual average values WQI City from 2018 2020 were 92.26, 92.06, 92.45, respectively. spring, summer, autumn, winter 92.48, 90.38, 92.68, 93.49, seasonal levels good or higher. However, spatial heterogeneity exists for some City. (2) highly complex. landscape composition, configuration, pollutant discharges are key affecting annually seasonally, a scale dependence observed. (3) Chemical physical directly affect WQI, particularly at small scales (100 m 500 buffer zones). have strong inhibitory effect (−0.79, −0.78) (−0.56, −0.72), whereas weak promoting (0.05–0.13). Landscape composition configuration indirectly WQI. In contrast, pollution discharge impact through their chemical factors. These findings demonstrate that social interact multiple ways, impacting reservoirs. This interaction depends scale. Therefore, it consider appropriate distance future land use planning, design planning Moreover, controlling wastewater industrial agricultural activities domestic usage vital ensuring high quality.

Language: Английский

Citations

6

Spatio-temporal evolution mechanism and dynamic simulation of nitrogen and phosphorus pollution of the Yangtze River Economic Belt in China DOI
Huihui Wang,

Wanlin He,

Zeyu Zhang

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124402 - 124402

Published: June 19, 2024

Language: Английский

Citations

6

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China DOI Creative Commons

Jing Xu,

Yuming Mo,

Senlin Zhu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33695 - e33695

Published: June 28, 2024

The water quality index (WQI) is a widely used tool for comprehensive assessment of river environments. However, its calculation involves numerous parameters, making sample collection and laboratory analysis time-consuming costly. This study aimed to identify key parameters the most reliable prediction models that could provide maximum accuracy using minimal indicators. Water from 2020 2023 were collected including nine biophysical chemical indicators in seventeen rivers Yancheng Nantong, two coastal cities Jiangsu Province, China, adjacent Yellow Sea. Linear regression seven machine learning (Artificial Neural Network (ANN), Self-Organizing Maps (SOM), K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Random Forest (RF), Extreme Gradient Boosting (XGB) Stochastic (SGB)) developed predict WQI different groups input variables based on correlation analysis. results indicated improved 2022 but deteriorated 2023, with inland stations exhibiting better conditions than ones, particularly terms turbidity nutrients. environment was comparatively Nantong Yancheng, mean values approximately 55.3–72.0 56.4–67.3, respectively. classifications "Good" "Medium" accounted 80 % records, no instances "Excellent" 2 classified as "Bad". performance all models, except SOM, addition variables, achieving R2 higher 0.99 such SVM, RF, XGB, SGB. RF XGB total phosphorus (TP), ammonia nitrogen (AN), dissolved oxygen (DO) (R2 = 0.98 0.91 training testing phase) predicting values, TP AN (accuracy 85 %) grades. "Low" grades highest at 90 %, followed by level 70 %. model contribute efficient evaluation identifying facilitating effective management basins.

Language: Английский

Citations

5

A new framework for water quality forecasting coupling causal inference, time-frequency analysis and uncertainty quantification DOI
Chi Zhang, Xizhi Nong, Kourosh Behzadian

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 350, P. 119613 - 119613

Published: Nov. 25, 2023

Language: Английский

Citations

12

Distribution, relationship, and environmental driving factors of chlorophyll-a and algal cell density: A national view of China DOI Creative Commons
Xizhi Nong,

Lanting Huang,

Lihua Chen

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 54, P. e03084 - e03084

Published: July 11, 2024

Chlorophyll-a (Chl-a) and algal cell density (ACD) are vital for assessing proliferation eutrophication in aquatic ecosystems. Although Chl-a is often used as a proxy ACD, its accuracy requires validation, studies on their linear correlation scarce. Additionally, ACD influenced by various factors, including nutritional, economic, biochemical, physicochemical, meteorological factors. However, the relative importance of these factors remains insufficiently studied. This study analyzed data from 57 lakes reservoirs across China March 2021 to February 2023, investigating distribution patterns different regions seasons. The employed regression model explore between seasons throughout China. Furthermore, Mantel test generalized were evaluated nutritional (total nitrogen (TN), total phosphorus (TP), TN/TP ratio (TN/TP), ammonia (NH3-N)), economic (gross domestic product), (surface pressure, net solar radiation, air temperature, wind speed (WS), rainfall (RF)), well biochemical physicochemical (turbidity (TUR), pH value, water temperature (WT), permanganate index, dissolved oxygen) ACD. Results showed that average concentrations South highest, at 12 μg/L 19.5 × 106 cells/L, respectively. Seasonally, peaked spring was lowest winter, while summer winter. Significant seasonal regional variations observed, with showing strongest relationship. In Central China, significantly correlated four seasons, whereas correlations less distinct Eastern Western regions. Therefore, caution. Nutrient (TN, TP, TN/TP, NH3-N) identified primary drivers Meteorological (WS, RF), along (WT, TUR) also emerged critical predictors spatial variations. validates analyzes spatiotemporal distribution, assesses influence enhancing our understanding dynamics Chinese reservoirs.

Language: Английский

Citations

4

Modelling of basin-scale nutrient loading variations under the synergistic influences of climate change and socioeconomic development DOI
Chi Zhang,

Di Long,

Xizhi Nong

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132673 - 132673

Published: Jan. 1, 2025

Language: Английский

Citations

0

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 evolution and driving factors of agricultural non-point source pollution in the context of economic green development DOI
Tao Jiang,

Jianjiang Shen

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124849 - 124849

Published: March 14, 2025

Language: Английский

Citations

0