Water Science and Engineering 2020, 13(4) 253-264 DOI:   https://doi.org/10.1016/j.wse.2020.12.004  ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
Stream network connectivity
Static storage capacity
Dynamic storage capacity
One-dimensional hydrodynamic model
Authors
PubMed

Change of stream network connectivity and its impact on flood control

Yu-qin Gao a, *, Yun-ping Liu a, Xiao-hua Lu a, b, Hao Luo c, Yue Liu a

a College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
b China Water Resources Beifang Investigation, Design & Research Co., Ltd., Tianjin 300222, China
c University of Illinois at Urbana-Champaign, Champaign IL 61820, USA

Abstract

Urbanization can alter the hydrogeomorphy of streams and rivers, change stream network structures, and reduce stream network connectivity, which leads to the decrease in the storage capacity of stream network and aggravates flood damages. Therefore, it is of great importance to investigate how stream network connectivity impacts flood storage capacity and flood control in urbanized watersheds. This study proposed a framework to assess stream network connectivity and its impact on flood control. Firstly, a few connectivity indices were adopted to assess longitudinal stream network connectivity. Afterward, the static and dynamic storage capacities of stream network were evaluated using storage capacity indices and a one-dimensional hydrodynamic model. Finally, the impact of stream network connectivity change on flood control was assessed by investigating the changes in stream network connectivity and storage capacity. This framework was applied to the Qinhuai River Basin, China, where intensive urbanization occurred in the last several decades. The results show that stream network storage capacity is affected by stream network connectivity. Increasing stream network connectivity enhances stream network storage capacity.

Keywords Stream network connectivity   Static storage capacity   Dynamic storage capacity   One-dimensional hydrodynamic model  
Received 2020-03-24 Revised 2020-09-26 Online: 2020-12-30 
DOI: https://doi.org/10.1016/j.wse.2020.12.004
Fund:

This work was supported by the Natural Science Foundation of Jiangsu Province (Grant No. BK20181310) and the National Natural Science Foundation of China (Grant No. 52079039).

Corresponding Authors: Yu-qin Gao
Email: yqgao@hhu.edu.cn
About author:

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