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Impacts of Landscapes on Water Quality in A Typical Headwater Catchment, Southeastern China

机译:中国东南部典型麦楼集水区景观对水质的影响

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摘要

The relationship between land landscape and water quality has been a hot topic, especially for researchers in headwater catchment, because of drinking water safety and ecological protection. In this study, Lita Watershed, a typical headwater catchment of Southeast China, was selected as the study area. During 2015 and 2016, water samples were collected from 18 sampling points every month, and 19 water quality parameters were tested such as nutrients and heavy metals. Through multistatistics analysis, the results show that the most sensitive water quality parameters are Cr, NO3, NO2, and COD. The type and scale of water body have direct effects on water quality, while the land-use patterns in the surrounding areas have an indirect impact on the concentration and migration of pollutants. This effect is sensitive to seasonal change because heavy metals are mainly from atmospheric deposition, but nutrients are mainly from agricultural nonpoint source pollution. According to the results, increasing the proportion of forest land and paddy field is effective to the reduction of water nutrients. Besides, balancing the configuration of water bodies, especially increasing the capacity of the pond, can significantly alleviate the water pollution in the dry season. This study is useful to provide policy suggestion for refined watershed management and water source planning basing on seasons and pollution sources.
机译:由于饮用水安全和生态保护,土地景观与水质之间的关系是一个热门话题,特别是对于沿着地水集水区的研究人员。在这项研究中,丽塔流域是中国东南部的典型的壁水集水区,被选为研究区。在2015年和2016年期间,每月从18个采样点收集水样,并测试了19个水质参数,如营养素和重金属。通过多层分析,结果表明,最敏感的水质参数是Cr,No3,No2和COD。水体的类型和规模对水质具有直接影响,而周围区域的土地使用模式对污染物的浓度和迁移具有间接影响。这种效果对季节变化敏感,因为重金属主要来自大气沉积,但营养素主要来自农业非点源污染。根据结果​​,增加林地和稻田的比例对水营养的减少有效。此外,平衡水体的配置,特别是增加池塘的能力,可以显着减轻干燥季节的水污染。本研究可用于为季节和污染源基于季节和污染源提供精制流域管理和水源规划的政策建议。

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