Increasing human activity shifts the key spatial scale of landscape patterns on water quality from sub-basins to riparian zones DOI
Jiawei Wen, Peng Wang,

Yuanyang She

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177504 - 177504

Опубликована: Ноя. 15, 2024

Язык: Английский

Effect of Hydrological Connectivity and Landscape Patterns on Nitrogen (N) and Phosphorus (P) Output in an Agricultural Watershed DOI

Shaojun Tan,

Jianfeng Xu, Yuan Zhou

и другие.

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

0

Estimating Thresholds of Natural Vegetation for the Protection of Water Quality in South African Catchments DOI Creative Commons
Kent Anson Locke

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Апрель 3, 2024

Abstract Many of South Africa’s water quality problems are directly attributable to the negative impacts anthropogenic land use transformations, including urban and agricultural expansion. To mitigate these impacts, preservation an adequate amount natural vegetation within catchment areas is important management strategy. However, it unclear how much cover required provide levels protection, nor at which scale(s) this strategy would be most effective. Accordingly, regression analysis was used model relationships between (measured using Nemerow’s Pollution Index) metrics multiple scales across a sample sub-catchments located Eastern Western Cape provinces. With conspicuous outliers removed, models were able explain 69 82% variation in sample. Moreover, statistically significant, nonlinear, inverse relationship found proportions pollution levels. This strongest when measured (1) whole (2) 200 m riparian buffer zone. The further indicated that approximately 80 90% necessary maintain ecologically acceptable Additional nonlinear thresholds estimated breakpoint suggested if fall below 45% (across catchment) 60% (within zone) dramatic increase can expected.

Язык: Английский

Процитировано

0

Scale Effects of Landscape Patterns on Nitrogen and Phosphorus Pollution in Yanshan River Basin, Guilin, China DOI Open Access

Zhongjie Fang,

Rongjie Fang,

Baoli Xu

и другие.

Water, 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

0

Increasing human activity shifts the key spatial scale of landscape patterns on water quality from sub-basins to riparian zones DOI
Jiawei Wen, Peng Wang,

Yuanyang She

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177504 - 177504

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

0