Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119605 - 119605
Published: Dec. 3, 2023
Language: Английский
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119605 - 119605
Published: Dec. 3, 2023
Language: Английский
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141882 - 141882
Published: March 29, 2024
Language: Английский
Citations
10Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 462, P. 142628 - 142628
Published: May 19, 2024
Language: Английский
Citations
7Journal 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
6Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124402 - 124402
Published: June 19, 2024
Language: Английский
Citations
6Heliyon, 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
5Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 350, P. 119613 - 119613
Published: Nov. 25, 2023
Language: Английский
Citations
12Global 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
4Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132673 - 132673
Published: Jan. 1, 2025
Language: Английский
Citations
0Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 20, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124849 - 124849
Published: March 14, 2025
Language: Английский
Citations
0