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Spatial-Temporal Variations of Water Quality and Its Relationship to Land Use and Land Cover in Beijing China

机译:北京水质的时空变化及其与土地利用和土地覆盖的关系

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摘要

Rapid urbanization with intense land use and land cover (LULC) change and explosive population growth has a great impact on water quality. The relationship between LULC characteristics and water quality provides important information for non-point sources (NPS) pollution management. In this study, we first quantified the spatial-temporal patterns of five water quality variables in four watersheds with different levels of urbanization in Beijing, China. We then examined the effects of LULC on water quality across different scales, using Pearson correlation analysis, redundancy analysis, and multiple regressions. The results showed that water quality was improved over the sampled years but with no significant difference (p > 0.05). However, water quality was significantly different among nonurban and both exurban and urban sites (p < 0.05). Forest land was positively correlated with water quality and affected water quality significantly (p < 0.05) within a 200 m buffer zone. Impervious surfaces, water, and crop land were negatively correlated with water quality. Crop land and impervious surfaces, however, affected water quality significantly (p < 0.05) for buffer sizes greater than 800 m. Grass land had different effects on water quality with the scales. The results provide important insights into the relationship between LULC and water quality, and thus for controlling NPS pollution in urban areas.
机译:迅速的城市化进程以及大量的土地利用和土地覆盖(LULC)变化以及爆炸性的人口增长对水质产生了巨大影响。 LULC特性与水质之间的关系为非点源(NPS)污染管理提供了重要信息。在这项研究中,我们首先量化了中国北京不同城市化水平的四个流域中五个水质变量的时空格局。然后,我们使用Pearson相关分析,冗余分析和多元回归分析了LULC对不同规模水质的影响。结果表明,水质在抽样年份中有所改善,但无显着差异(p> 0.05)。但是,非城市地区,郊区和城市地区的水质差异显着(p <0.05)。在200 m的缓冲区内,林地与水质呈正相关,对水质的影响显着(p <0.05)。不透水的表面,水和耕地与水质呈负相关。但是,对于大于800 m的缓冲区,耕地和不透水表面会显着影响水质(p <0.05)。草地对水质的影响程度不同。结果为深入了解土地利用变化和土地质量之间的关系提供了重要见解,从而为控制城市地区的NPS污染提供了重要依据。

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