地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (6): 799-806.doi: 10.12082/dqxxkx.2018.180023

• 2017年中国地理信息科学理论与方法学术年会优秀论文专辑 • 上一篇    下一篇

突发河流污染事件应急资源调度动态规划模型研究

吴在栋1(), 林广发1,2,3,*(), 张明锋1,2,3, 罗尊骅1, 周文娟1   

  1. 1. 福建师范大学地理研究所,福州 350007
    2. 福建省陆地灾害监测评估工程技术研究中心,福州 350007
    3. 海西地理国情动态监测与应急保障研究中心,福州 350007
  • 收稿日期:2018-01-02 修回日期:2018-03-20 出版日期:2018-06-20 发布日期:2018-06-20
  • 通讯作者: 林广发 E-mail:zaidongwu@126.com;guangfalin@qq.com
  • 作者简介:

    作者简介:吴在栋(1990-),男,硕士生,主要从事GIS在灾害中的应用研究。E-mail: zaidongwu@126.com

  • 基金资助:
    国家重点研发计划重点专项(2016YFC0502905);福建省公益科研院所专项(2015R1034-1);福建省测绘地理信息局科技资助项目(2017JX03)

A Dynamic Planning Model of Emergency Resource Scheduling for Sudden River Pollution Incident

WU Zaidong1(), LIN Guangfa1,2,3,*(), ZHANG Mingfeng1,2,3, LUO Zunhua1, ZHOU Wenjuan1   

  1. 1. Institute of Geography, Fujian Normal University, Fuzhou 350007, China
    2. Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disaster, Fuzhou 350007, China
    3. Research Center for National Geographical Condition Monitoring and Emergency Support in the Economic Zone on the West Side of the Taiwan Strait, Fuzhou 350007, China
  • Received:2018-01-02 Revised:2018-03-20 Online:2018-06-20 Published:2018-06-20
  • Contact: LIN Guangfa E-mail:zaidongwu@126.com;guangfalin@qq.com
  • Supported by:
    National Key Research and Development Program of China, No.2016YFC0505905;Non-profit Research Projects of Fujian Province, No.2015R1034-1;Development Foundation of Surveying, Mapping and Geoinformatics of Fujian Province, No.2017JX03

摘要:

突发事件的突然性和发展过程的不确定性,要求在限定的时间内,将足够的应急资源配送到合适的应急处置空间位置。本文构建了一个多源点多目标应急资源调度模型,该模型以最短应急处置时间为规划目标,以应急资源运输和应急工程构建时间之和必须小于污染物扩散到应急处置空间位置的时间、多个应急资源仓库综合调度资源数量必须满足处置需求为约束条件;在应急资源出库和装卸时间一定的情况下,根据污染物沿河流扩散的动态过程,运用Dijkstra算法实时选择应急资源配送的最优路径,计算各个仓库所需调度各类资源数量以及资源到达应急处置空间位置所需的时间;最终导出一个策略方案,并根据应急资源到达处置位置所用的时间与污染物扩散到该点的时间之比,评估该方案的决策风险。以突发六价铬污染为研究案例的实验结果表明:该模型能够验证各个应急处置空间位置能否作为应急处置点,获得应急处置空间位置最合理的应急资源调度方案、应急车辆动态的最优路线以及各应急处置点资源调度方案的决策风险评估结果,从而提高应急管理的决策效率,降低决策风险,该模型在救灾、溃坝等其他类似领域也具有一定适用性。

关键词: 河流污染, 突发事件, Dijkstra算法, 资源调度, 动态规划

Abstract:

Sudden river pollution accidents can occur suddenly and have the uncertainty of development. It is necessary to distribute sufficient emergency resources to the emergency disposal space within limited time. This study constructed a multi resource and multi objective emergency resource scheduling model. Based on the planning objective of shortest emergency disposal time, this model assumed the constraint condition that the total construction time of emergency resource transportation and emergency project must be less than the time that pollutants diffused and arrived the position of emergency disposal, and the multi emergency resource warehouse integrated scheduling resources must meet the processing needs. Assuming that the time of emergency resource's outgoing, loading and unloading is certain, according to the dynamic process of pollutants spreading along the river, the optimal route of dynamic emergency resource distribution was optimized by using Dijkstra algorithm. Then, the time for the amount of resources required from each warehouse to reach the emergency disposal space was calculated. Finally, a strategic solution was exported and the risk of the decision-making was evaluated according to the ratio between the time that emergency resource arrived in disposal position and the time which the pollutants spread to the point. By setting the burst of six valency chromium pollutants as one case study, the experimental results show that the model can verify whether each emergency disposal space position can be treated as the emergency disposal point; the most reasonable emergency resource scheduling scheme at the emergency disposal space position can be obtained; and the emergency vehicle dynamic optimal route can be determined. Besides, the results evaluated the assessment of decision-making risk of emergency resource scheduling for each emergency disposal space position, improved the emergency management decision-making efficiency and reduced the decision-making risk. In addition, the model also had certain applicability in other similar fields, such as disaster relief in cases of dam-break and so on.

Key words: river water pollution, sudden accident, Dijkstra algorithm, resource scheduling, dynamic planning