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农业密集型流域自然-人工运输路径与水文连通性分析的新框架

New framework for natural-artificial transport paths and hydrological connectivity analysis in an agriculture-intensive catchment.

作者信息

Sun Cheng, Chen Lei, Zhu Hui, Xie Hui, Qi Shasha, Shen Zhenyao

机构信息

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, PR China.

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, PR China.

出版信息

Water Res. 2021 May 15;196:117015. doi: 10.1016/j.watres.2021.117015. Epub 2021 Mar 7.

DOI:10.1016/j.watres.2021.117015
PMID:33743326
Abstract

The impacts of human activities on hydrological connectivity disturb the network topology of transport paths, which has gradually evolved from natural terrain features to dual natural-artificial features. In this study, a new framework is proposed to extract information from natural-artificial transport paths and related hydrological connectivity dominated by agricultural practices and ditch networks. Graph theory and connectivity indexes are integrated for the comprehensive classification and the parallel processing of potential flow transport networks and their upstream drainage areas. Based on high-resolution remote sensing data and detailed field investigations, this new framework, which combines graph theory and connectivity indexes, is applied to a typical agriculture-intensive catchment in China. The results show that artificial factors greatly influence the transport paths and the related drainage areas. With the development of ditch construction, the hydrological transport paths become shorter and more fragmented. In addition, key ditch segments are identified by connectivity indexes, and recommendations are given for future planning. This new framework offers an approach for the hydrological connectivity analysis of complex networks and provides effective strategies for agricultural development.

摘要

人类活动对水文连通性的影响扰乱了运输路径的网络拓扑结构,该结构已逐渐从自然地形特征演变为自然 - 人工双重特征。在本研究中,提出了一个新框架,用于从受农业活动和沟渠网络主导的自然 - 人工运输路径及相关水文连通性中提取信息。将图论和连通性指标相结合,用于潜在水流运输网络及其上游排水区域的综合分类和平行处理。基于高分辨率遥感数据和详细的实地调查,这个结合了图论和连通性指标的新框架被应用于中国一个典型的农业密集型流域。结果表明,人为因素对运输路径和相关排水区域有很大影响。随着沟渠建设的发展,水文运输路径变得更短且更破碎。此外,通过连通性指标识别出关键沟渠段,并为未来规划给出了建议。这个新框架为复杂网络的水文连通性分析提供了一种方法,并为农业发展提供了有效策略。

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