Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119605 - 119605
Опубликована: Дек. 3, 2023
Язык: Английский
Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119605 - 119605
Опубликована: Дек. 3, 2023
Язык: Английский
Journal of Cleaner Production, Год журнала: 2024, Номер 450, С. 141882 - 141882
Опубликована: Март 29, 2024
Язык: Английский
Процитировано
10Journal of Cleaner Production, Год журнала: 2024, Номер 462, С. 142628 - 142628
Опубликована: Май 19, 2024
Язык: Английский
Процитировано
7Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 51, С. 101660 - 101660
Опубликована: Янв. 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.
Язык: Английский
Процитировано
6Environmental Pollution, Год журнала: 2024, Номер 357, С. 124402 - 124402
Опубликована: Июнь 19, 2024
Язык: Английский
Процитировано
6Heliyon, Год журнала: 2024, Номер 10(13), С. e33695 - e33695
Опубликована: Июнь 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.
Язык: Английский
Процитировано
5Journal of Environmental Management, Год журнала: 2023, Номер 350, С. 119613 - 119613
Опубликована: Ноя. 25, 2023
Язык: Английский
Процитировано
12Global Ecology and Conservation, Год журнала: 2024, Номер 54, С. e03084 - e03084
Опубликована: Июль 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.
Язык: Английский
Процитировано
4Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132673 - 132673
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124849 - 124849
Опубликована: Март 14, 2025
Язык: Английский
Процитировано
0