The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177504 - 177504
Опубликована: Ноя. 15, 2024
Язык: Английский
The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177504 - 177504
Опубликована: Ноя. 15, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Studying the effect of hydrological connectivity and landscape patterns on nitrogen (N) phosphorus (P) load in convective basins can help uncover mechanisms non-point source pollution a watershed. This study simulated output total (TN) (TP) Longxi River Basin (LRB) using Soil Water Assessment Tool (SWAT), analyzed effects terrain, configuration, composition, ouput volume TN TP Random Forest (RF) from 2019 to 2022. The results indicate that N P LRB is higher summer autumn than winter spring, central valley area mountainous areas. Except for elevation normalization index, other indicators show moderate variability. Liangping County, Dianjiang nearby Changshou Lake are areas with high index basin, exhibiting significantly summer. analysis RF model revealed configuration primary influencing factors provide scientific foundation preventing controlling watersheds.
Язык: Английский
Процитировано
0Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Апрель 3, 2024
Язык: Английский
Процитировано
0Water, Год журнала: 2024, Номер 16(17), С. 2472 - 2472
Опубликована: Авг. 30, 2024
Changes in land use and landscape patterns significantly influence watershed water quality by affecting non-point source (NPS) pollution processes. Understanding the characteristics of relationships between is crucial to informing land-use planning aimed at ensuring security. In this study, we employed index methods, correlation analysis, redundancy analysis based on monitored data types relative Yanshan River Basin, Guilin, China. The results show following features: (1) Water small exceeded values class III during study period, total nitrogen (TN) was main pollutant, with a load ratio reaching 67.9%. (2) impacted river. concentrations TN, ammonia (NH4+-N), nitrate (NO3−-N), phosphorus (TP) were negatively correlated proportion forest area, NH4+-N TP positively proportions building, orchard, cultivated areas. Moreover, influences wet seasons stronger than those dry seasons. (3) interpretation rates indices for 96.7% 94.4%, respectively. largest patch aggregation building area most effective variables explaining indices, contribution 30.8% 23.2% 34.3% 23.8% seasons, By analyzing these relationships, obtained insights into how different contribute variations quality. findings sustainable strategies that aim mitigate impacts changes resources.
Язык: Английский
Процитировано
0The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177504 - 177504
Опубликована: Ноя. 15, 2024
Язык: Английский
Процитировано
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