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利用整合图论和网络分析的新框架评估自然-人工集水区的水文连通性。

Assessing hydrological connectivity for natural-artificial catchment with a new framework integrating graph theory and network analysis.

作者信息

Wang J, Li X, Wang L, Zhang Y P, Yin W, Bian H X, Xu J F, Hao R, Xiao H B, Shi Y Y, Jiang H, Shi Z H

机构信息

State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan, 430070, China.

Changjiang Water Resources Protection Institute, Wuhan, 430051, China.

出版信息

J Environ Manage. 2023 Nov 15;346:119055. doi: 10.1016/j.jenvman.2023.119055. Epub 2023 Sep 22.

Abstract

Anthropogenic activities alter the underlying surface conditions and arrangements of landscape features in a drainage basin, interfering with the pollutant (e.g., dissolved nitrogen, phosphorus) transport network configuration and altering the hydrological response. Assessing the impact of anthropogenic activities on hydrological connectivity for natural-artificial catchment is critical to understand the hydrological-driven ecosystem processes, services and biodiversity. However, quantifying this impact at catchment scale remains challenging. In this study, a new framework was proposed to quantify the impact of anthropogenic activities on hydrological connectivity combined with graph theory and network analysis. This framework was exemplified in a natural-artificial catchment of the Yangtze River basin of China. Based on remote sensing and field-investigated data, three transport networks were constructed, including natural transport network (N1), ditch-road transport network (N2), and terrace-dominated transport network (N3), which reflected the different human intervention. The results showed that human intervention improved the connectivity of the nodes and enhanced the complexity of the catchment transport network structure. Anthropogenic activities significantly decreased the hydrological structural connectivity of the catchment. In particular, compared with the N1 network, the critical nodes for hydrological connectivity which were judged by connectivity indexes were reduced by 92.94% and 95.29% in the N2 and N3 network, respectively. Furthermore, the ditch-road construction had a greater impact than terraces in decreasing hydrological structural connectivity at catchment scale. This framework has proven effective in quantifying the hydrological connectivity analysis under different human intervention at the catchment scale and facilitates the improvement of catchment management strategies.

摘要

人为活动改变了流域内地表条件和景观特征的布局,干扰了污染物(如溶解态氮、磷)的输运网络结构,并改变了水文响应。评估人为活动对自然 - 人工集水区水文连通性的影响,对于理解水文驱动的生态系统过程、服务和生物多样性至关重要。然而,在集水区尺度上量化这种影响仍然具有挑战性。在本研究中,提出了一个结合图论和网络分析来量化人为活动对水文连通性影响的新框架。该框架在中国长江流域的一个自然 - 人工集水区得到了验证。基于遥感和实地调查数据,构建了三个输运网络,包括自然输运网络(N1)、沟渠 - 道路输运网络(N2)和梯田主导的输运网络(N3),它们反映了不同程度的人类干预。结果表明,人类干预提高了节点的连通性,增强了集水区输运网络结构的复杂性。人为活动显著降低了集水区的水文结构连通性。特别是,与N1网络相比,根据连通性指标判断的水文连通性关键节点在N2和N3网络中分别减少了92.94%和95.29%。此外,在集水区尺度上,沟渠 - 道路建设对降低水文结构连通性的影响比梯田更大。该框架已被证明在量化集水区尺度上不同人类干预下的水文连通性分析方面是有效的,并有助于改进集水区管理策略。

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