New framework for natural-artificial transport paths and hydrological connectivity analysis in an agriculture-intensive catchment
New framework for natural-artificial transport paths and hydrological connectivity analysis in an agriculture-intensive catchment
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农业密集型流域自然人工运输路径和水文连通性分析的新框架
DOI：
10.1016/j.watres.2021.117015
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发表时间：
2021
期刊：
影响因子：
12.8
通讯作者：
Shen Zhenyao
中科院分区：
文献类型：
--
作者：
Sun Cheng;Chen Lei;Zhu Hui;Xie Hui;Qi Shasha;Shen Zhenyao
人类活动对水文连通性的影响扰乱了输运路径的网络拓扑结构，使其逐渐从自然地形特征演变为自然-人工双重特征。在这项研究中，提出了一个新的框架，以提取信息的自然-人工运输路径和相关的水文连接为主的农业实践和沟渠网络。将图论和连通度指标相结合，对潜在流输运网络及其上游流域进行综合分类和并行处理。基于高分辨率遥感数据和详细的实地调查，这一新的框架，结合图论和连通性指数，应用于一个典型的农业密集型流域在中国。结果表明，人为因素对泥沙运移路径及相关流域面积有较大影响。随着渠道建设的发展，水文输运路径变得越来越短、越来越破碎。此外，通过连通性指数确定了关键沟渠段，并对未来规划提出了建议。这一新的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的策略。
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.