Cui Baoshan, Wang Chongfang, Tao Wendong, You Zheyuan
School of Environment, Beijing Normal University, State Key Joint Laboratory of Environmental Simulation and Pollution Control, No. 19 Xinjiekouwai Street, Beijing 100875, China.
J Environ Manage. 2009 Aug;90(11):3675-86. doi: 10.1016/j.jenvman.2009.07.010. Epub 2009 Aug 15.
Vulnerability of river channels to urbanization has been lessened by the extensive construction of artificial water control improvements. The challenge, however, is that traditional engineering practices on isolated parts of a river may disturb the hydrologic continuity and interrupt the natural state of ecosystems. Taking the Xiaoqinghe River basin as a whole, we developed a river channel network design to mitigate river risks while sustaining the river in a state as natural as possible. The river channel risk from drought during low-flow periods and flood during high-flow periods as well as the potential for water diversion were articulated in detail. On the basis of the above investigation, a network with "nodes" and "edges" could be designed to relieve drought hazard and flood risk respectively. Subsequently, the shortest path algorithm in the graph theory was applied to optimize the low-flow network by searching for the shortest path. The effectiveness assessment was then performed for the low-flow and high-flow networks, respectively. For the former, the network connectedness was evaluated by calculating the "gamma index of connectivity" and "alpha index of circuitry"; for the latter, the ratio of flood-control capacity to projected flood level was devised and calculated. Results show that the design boosted network connectivity and circuitry during the low-flow periods, indicating a more fluent flow pathway, and reduced the flood risk during the high-flow periods.
人工治水设施的广泛建设降低了河道对城市化的脆弱性。然而,挑战在于,在河流孤立部分采用的传统工程做法可能会扰乱水文连续性,破坏生态系统的自然状态。我们以小清河全流域为整体,设计了一种河道网络,以降低河流风险,同时尽可能维持河流的自然状态。详细阐述了低流量期干旱、高流量期洪水以及调水可能性带来的河道风险。基于上述调查,可以设计一个具有“节点”和“边”的网络,分别缓解干旱危害和洪水风险。随后,应用图论中的最短路径算法,通过寻找最短路径来优化低流量网络。然后分别对低流量和高流量网络进行有效性评估。对于前者,通过计算“连通性伽马指数”和“回路阿尔法指数”来评估网络连通性;对于后者,设计并计算防洪能力与预计洪水位的比值。结果表明,该设计提高了低流量期的网络连通性和回路性,表明水流路径更顺畅,并降低了高流量期的洪水风险。