The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177504 - 177504
Published: Nov. 15, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177504 - 177504
Published: Nov. 15, 2024
Language: Английский
Water Quality Research Journal, Journal Year: 2024, Volume and Issue: unknown
Published: April 22, 2024
Abstract Few factors are as important in determining water quality land use/land cover (LULC). Many use activities, including agriculture, urban development, mining, and commercial forestry, tend to be sources of diffuse pollution. By contrast, indigenous vegetation can act a sink, thus providing some protection from anthropogenic contamination. Notwithstanding the large body research demonstrating these facts, decision-makers require clear accessible information assist them developing effective management plans that fully cognisant manifold impacts LULC on resources. Reviewing available literature, this article, therefore, offers critical overview typical quality. An strategy for managing highlighted article is maintenance sufficient amount unfragmented natural vegetation, not only within riparian zones but also across catchment areas. However, knowledge gaps identified review indicate further context-specific required determine types minimum vegetative protect resources pollution potential impact landscape fragmentation ability A discussion therefore provided.
Language: Английский
Citations
15Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 446, P. 141450 - 141450
Published: Feb. 24, 2024
Language: Английский
Citations
8Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 362, P. 121290 - 121290
Published: May 31, 2024
Land use/land cover (LULC) can have significant impacts on water quality and the health of aquatic ecosystems. Consequently, understanding quantifying nature these is essential for development effective catchment management strategies. This article provides a critical review literature in which use statistical methods to model LULC demonstrated. A survey publications, included hundreds original research articles, revealed several common themes findings. However, there are also persistent knowledge gaps, areas methodological uncertainty, questions application that require further study clarification. These relate primarily appropriate analytical scales, significance landscape configuration, estimation thresholds, as well potentially confounding influence extraneous variables. Moreover, geographical bias published means need ecologically climatically disparate regions, including less developed countries Global South. The focus this not provide technical techniques themselves, but examine important practical considerations their modelling quality.
Language: Английский
Citations
8Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112423 - 112423
Published: July 29, 2024
Diverse land use patterns exhibit varying effects on water quality across different seasons and spatial scales. However, current studies the correlation between in single small-scale basins no longer meet needs of regional coordinated development. Simultaneous comparative analysis multiple large-scale can promote environmental protection basins, but there is currently limited relevant research. In this study, data from 86 sampling points seven major river China were analyzed. Multivariate statistical redundancy (RDA) employed to investigate influence at The results indicated notable differences various locations. Except for higher pH permanganate index (COD) concentrations wet season Songhua River Basin COD Pearl Basin, all parameters other are dry season. PH exhibited considerable variations within while dissolved oxygen (DO) ammonia nitrogen (NH4+-N) showed smaller variations. RDA that had a more pronounced effect during Yangtze, Liao Basins, impact was greater four Yellow, Huai, Hai Basins. At scale, 2000 m buffer zone most significant 1000 greatest Huai For Yellow 500 season, respectively. research findings offer scientific foundation development basin-specific management policies measures multi-scale perspective.
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 950, P. 175027 - 175027
Published: July 24, 2024
Language: Английский
Citations
4Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113279 - 113279
Published: Feb. 25, 2025
Language: Английский
Citations
0Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102341 - 102341
Published: March 28, 2025
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 19, 2025
Landscape features have a profound impact on river water quality. However, its in subtropical hilly region is unclear. Here, quality data from 15 catchments were obtained based typical area, the upper Ganjiang River basin. The landscape catchment and buffer zone calculated, effects investigated using redundancy analysis (RDA) multiple linear regression (MLR) model. Catchment found to better explain overall changes compared zone, more winter than summer. Moreover, within percentage of grassland had greatest (72.8%), while at scale, aggregation index (AI) contributed most (31.6%). Nonparametric change-point (nCPA) was used identify thresholds that lead abrupt It can be improved when > 0.193%, largest patch (LPI) forest 7.48% or impervious surfaces < 2.92%, AI 98.6% scale. This study demonstrated pivotal role enhancing by implementing informed effective planning for conservation implementation.
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121656 - 121656
Published: July 8, 2024
Language: Английский
Citations
2Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(3), P. 1380 - 1391
Published: March 1, 2024
Abstract The management of port water quality is crucial to marine ecological balance and has been great concern. In the present study, monitoring data in Zhanjiang Port from 2015 2022 were utilized analyze spatiotemporal characteristics reveal correlation between different parameters. structural equation model applied profile dominant factors level. results showed that was generally worse summer better winter. Variations total phosphorus (TP), chemical oxygen demand (COD) nitrogen (TN) content directly led changes Port, where an increase TP resulted a significant decrease level (path coefficient 2.87). Permanganate index (CODMn) ammonia indirectly affected level, while pH dissolved (DO) no impact. Ammonia nitrogen, DO contents significantly associated with TP. Human activities industrial production identified as main sources pollution. increasing trend certain parameters highlights urgency implementing timely measures improve conditions Bay, China.
Language: Английский
Citations
1