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Aggregating land use quantity and intensity to link water quality in upper catchment of Miyun Reservoir

机译:密云水库上游集水区土地利用量和强度的综合联系

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摘要

Eutrophication resulting from nutrient enrichment decreases water quality and harms ecosystem structure and function, and its degree is significantly affected by land use in the catchment. Quantifying the relationship between eutrophication and land use can help effectively manage land use to improve water quality. Previous studies principally utilized land use quantity as an indicator to link water quality parameters, but these studies lacked insight into the impact of land use intensity. Taking the upper catchment of Miyun Reservoir as a case study, we developed a method of aggregating land use quantity and intensity to build a new land use indicator and tested its explanatory power on water quality. Six nutrient concentrations from 52 sub-watersheds covering the whole catchment were used to characterize the spatial distribution of eutrophication. Based on spatial techniques, empirical conversion coefficients, remote sensing data, and socio-economic statistical data, land use intensity was measured and mapped visually. The new land use indicator was calculated and linked to nutrient concentrations by Pearson correlation coefficients. Results demonstrated that our new indicator incorporating intensity information can quantify the different nutrient-exporting abilities of different land use areas. Compared to traditional indicators that only incorporate land use quantity, most Pearson correlation coefficients between the new indicator and water nutrient concentrations increased. This new information enhanced the explanatory power of land use on water nutrient concentrations, and so will be able to help us understand the impact of land use on water quality and guide decision making for better land use management. (C) 2016 Elsevier Ltd. All rights reserved.
机译:养分富集引起的富营养化降低了水质,损害了生态系统的结构和功能,集水区的土地利用严重影响了其程度。量化富营养化与土地利用之间的关系可以帮助有效管理土地利用以改善水质。先前的研究主要利用土地利用数量作为衡量水质参数的指标,但是这些研究缺乏对土地利用强度影响的洞见。以密云水库上游流域为例,开发了一种综合土地利用数量和强度的方法,建立了新的土地利用指标,并检验了其对水质的解释力。利用覆盖整个流域的52个小流域的6种养分浓度来表征富营养化的空间分布。基于空间技术,经验转换系数,遥感数据和社会经济统计数据,对土地利用强度进行了测量和视觉绘制。计算了新的土地利用指标,并通过皮尔森相关系数将其与养分含量联系起来。结果表明,我们结合强度信息的新指标可以量化不同土地利用区域的不同养分输出能力。与仅包含土地使用量的传统指标相比,新指标与水养分浓度之间的大多数Pearson相关系数都增加了。这些新信息增强了土地利用对水养分浓度的解释力,因此将能够帮助我们了解土地利用对水质的影响,并指导决策以更好地管理土地。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ecological indicators 》 |2016年第7期| 329-339| 共11页
  • 作者

    Xu Erqi; Zhang Hongqi;

  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use intensity; Land use quantity; Water eutrophication; Miyun Reservoir;

    机译:土地利用强度;土地利用数量;水体富营养化;密云水库;

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