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The joint effect of natural and human-induced environmental factors on surface water quality in the Birim North District of Ghana

机译:自然和人类诱导的环境因素对加纳二里北区地表水质的联合影响

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摘要

Anthropogenic activities threaten surface water quality across the globe, especially in contexts where monitoring is non-existent or weak. Our understanding of the effect, order and magnitude of natural and human-induced environmental factors on surface water quality is limited. This study assessed the effect, predictive order and magnitude of natural and human-induced environmental variables on surface water quality in the Birim North District of Ghana. Approximately 540 samples were collected from 15 rivers and streams in 2018 and analysed using 31 indicators. Landsat satellite images (2018 and 2019) of the study area were analysed for land use land cover data. The data were fitted to ordinary least squares (OLS) regression model. Season (50%) most accounted for variability in the surface water quality whereas elevation and forest cover accounted for 28% and 21%, respectively. Surface water quality in the Akoase and Nyafoman/Noyem clusters were 30% and 10% respectively better in quality than the Adofokrom/Amenam cluster. The increasing order of magnitude of variables in predicting surface water quality was Buffer, Cultivated area, Built-up, Forest, Rivers and streams cluster, Elevation, and Season. Consequently, management interventions for surface water ecosystems should account for spatio-temporal heterogeneity in the factors that influence surface water quality.
机译:人为的活动威胁到全球表面水质,特别是在监测不存在或弱的背景下。我们对地表水质的自然和人类诱导的环境因素的影响,秩序和程度的理解有限。本研究评估了加纳比亚姆北区地表水质的自然和人类诱导的环境变量的效果,预测秩序和大小。从2018年的15个河流和溪流收集约540个样品,并使用31个指标进行分析。分析了Landsat卫星图像(2018年和2019年)的陆地使用土地覆盖数据。数据适用于普通的最小二乘(OLS)回归模型。季节(50%)最多占地表水质的可变性,而海拔和森林覆盖率分别占28%和21%。 Akoase和Nyafoman / Noyem群中的表面水质分别比Adofokrom / Amenam集群更好的30%和10%。预测地表水质中的变量幅度幅度增加是缓冲,耕种区域,建成,森林,河流和流集群,海拔和季节。因此,表面水生态系统的管理干预应考虑到影响地表水质的因素中的时空异质性。

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