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首页> 外文期刊>The Science of the Total Environment >A model to evaluate spatiotemporal variations of hydrological connectivity on a basin-scale complex river network with intensive human activity
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A model to evaluate spatiotemporal variations of hydrological connectivity on a basin-scale complex river network with intensive human activity

机译:一种评价盆地型复杂河网络水文连通性的时空变化,具有密集的人体活动

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摘要

In recent decades, rivers have been among the most gravely disturbed ecosystems due to intense anthropogenic impacts. Accurate spatial evaluation of river network connectivity is necessary for providing an improved empirical basis for management, conservation, and restoration initiatives. In this study, we focused on the stream continuity-oriented hydrological connectivity of the river network ecosystem. An evaluation model was established using spatiotemporal hydrological data, temporal data on dam development, and a new stream continuity-oriented connectivity index (SCI). The Pearl River basin was selected as the study area to demonstrate the model application using data since 1960. The model showed that the SCI values had significantly and steadily decreasing characteristics in the entire basin from 1960 to 2018, with a total decrease during this period of 26% throughout the river network. The connectivity of the river network declined as the number of dams increased, and dams built on main trunks had a larger impact on the connectivity than those on tributaries. These model results can help government regulators identify the worst connected areas of the river network and take effective measures to reduce the impact of human interferences. Thus, the model can provide practical guidance and support to the conservation, management, and restoration of the river ecosystem.
机译:近几十年来,由于强烈的人为影响,河流受到最严重干扰的生态系统之一。准确的河网络连接空间评估是为管理,保护和恢复举措提供改进的实证基础。在这项研究中,我们专注于河网络生态系统的流连续性化水文连接。使用时空水文数据,坝体开发的时间数据和新的流连续性连接指数(SCI)建立了评估模型。选择珠江流域作为研究区域,以便自1960年以来使用数据展示模型应用。该模型显示SCI值在1960年至2018年的整个盆地中的特征显着稳定地降低,在此期间总数减少整个河流网络中26%。随着水坝的数量增加,河流网络的连接下降,主干上建立的水坝对连通性的影响较大。这些模型结果可以帮助政府监管机构确定河流网络最差的相关领域,并采取有效措施来降低人类干扰的影响。因此,该模型可以为河流生态系统的保护,管理和恢复提供实际指导和支持。

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