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首页> 外文期刊>Journal of hydrologic engineering >Bioindicator Assessment Framework of River Ecosystem Health and the Detection of Factors Influencing the Health of the Huai River Basin, China
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Bioindicator Assessment Framework of River Ecosystem Health and the Detection of Factors Influencing the Health of the Huai River Basin, China

机译:河流生态系统健康的生物指标评估框架及影响淮河流域健康的因素检测

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摘要

River ecosystem health assessments are a hot topic in global water resources management. The Huai River Basin is a representative basin faced with serious environmental problems due to high water pollution and numerous water projects. Comprehensive investigation of the factors affecting river ecosystem health is an urgent precursor to the successful management of the Huai River Basin. Based on a series of aquatic ecosystem indicators, monitoring, and standards, such as phytoplankton, zooplankton, and benthic macro-invertebrate data, an assessment framework of river ecosystem health is proposed using a multistep gray correlation evaluation method. Environmental impact factors including climate, land cover, edaphic factors, hydrology, water projects, and water quality were identified using the Kruskal-Wallis test and distance-based redundancy analysis method. The ecosystem was found to be subhealthy with 44% (31/71) of sites in a healthy condition, 51% (36/71) subhealthy, and 5% (4/71) unhealthy. Climate and hydrology were the dominant factors that together contributed 37.5, 24.1, and 6.9% of the variation in phytoplankton, zooplankton, and benthic macroinvertebrates, respectively. The main variables affecting variation were minimum temperature, relative humidity, solar radiation, and the magnitude, frequency, duration, and timing of monthly runoff. Together, these variables explained 24.5% of the variation in the ecosystem health of the whole river. Thus, to improve river ecosystem health in the basin, the regulation of dams and sluices should give priority to ecological outcomes, and the threat of climate change should not be underestimated. This paper provides a blueprint for ongoing ecological monitoring and restoration programs in China, and is expected to be a successful case and reference to transition from water quantity management to river health management in the Huai River Basin.
机译:河流生态系统健康评估是全球水资源管理中的热门话题。淮河流域是一个代表性流域,由于高水污染和众多水项目而面临严重的环境问题。对影响河流生态系统健康的因素进行全面调查是淮河流域成功管理的紧急先决条件。基于浮游植物,浮游动物和底栖大型无脊椎动物数据等一系列水生生态系统指标,监测和标准,提出了一种采用多步灰色关联评价方法的河流生态系统健康评价框架。使用Kruskal-Wallis检验和基于距离的冗余分析方法确定了环境影响因素,包括气候,土地覆盖,水文因素,水文学,水项目和水质。发现该生态系统为亚健康状态,有44%(31/71)个处于健康状态的站点,51%(36/71)个亚健康和5%(4/71)个不健康。气候和水文学是主要的因素,分别占浮游植物,浮游动物和底栖大型无脊椎动物变化的37.5、24.1和6.9%。影响变化的主要变量是最低温度,相对湿度,太阳辐射以及每月径流的大小,频率,持续时间和时间。这些变量共同解释了整个河流生态系统健康状况变化的24.5%。因此,为了改善流域的河流生态系统健康,对水坝和水闸的管制应优先考虑生态成果,并且不应低估气候变化的威胁。本文为中国正在进行的生态监测和恢复计划提供了蓝图,有望成为成功的案例,并为淮河流域从水量管理向河流健康管理的过渡提供参考。

著录项

  • 来源
    《Journal of hydrologic engineering》 |2014年第8期|04014008.1-04014008.13|共13页
  • 作者单位

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China;

    Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

    State Key Laboratory of Remote Sensing Science, Beijing Normal Univ. and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China and School of Geography, Beijing Normal Univ., Beijing 100875, China;

    Australian Rivers Institute, Griffith Univ., Brisbane, QLD 4111, Australia;

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

    River ecosystem health; Multistep gray correlation method; Multivariable analysis; Huai River Basin;

    机译:河流生态系统健康;多步灰色关联法;多变量分析;淮河流域;

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