地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (12): 1634-1642.doi: 10.3724/SP.J.1047.2017.01634

• 山洪/泥石流灾害监测技术与方法 • 上一篇    下一篇

面向山洪预警的水雨情监测站网布设方法研究

翟晓燕1,2(), 刘荣华1,2, 杨益长3, 毕青云4, 刘启1,2   

  1. 1. 中国水利水电科学研究院,北京 100038
    2. 水利部防洪抗旱减灾工程技术研究中心,北京 100038
    3. 顺昌县水利局,南平 353200
    4.福建省防汛抗旱指挥部办公室,福州 350001
  • 收稿日期:2017-07-14 修回日期:2017-08-24 出版日期:2017-12-25 发布日期:2017-12-25
  • 作者简介:

    作者简介:翟晓燕(1989-),女,工程师,研究方向为水文学及水资源。E-mail: zhaixy@iwhr.com

  • 基金资助:
    国家自然科学基金青年基金项目(51409143);中国水科院科研专项(JZ0145B042016)

Flash Flood Warning-oriented Hydrometric Network Optimal Design

ZHAI Xiaoyan1,2*(), LIU Ronghua1,2, YANG Yichang3, BI Qingyun4, LIU Qi1,2   

  1. 1. China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    2. Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038, China
    3. Bureau of Water Conservancy in Shunchang, Nanping 353200, China
    4. Office of Fujian Provincial Flood Control and Drought Relief Headquarters, Fuzhou 350001, China
  • Received:2017-07-14 Revised:2017-08-24 Online:2017-12-25 Published:2017-12-25

摘要:

山洪灾害是中国高频发、高死亡率的自然灾害之一。水雨情站网的合理布设及优化,有利于捕获区域暴雨、洪水情势变化的时空异质性,可显著提高中小流域山洪预警的精度,增强山洪灾害防御能力。本文以山洪灾害高发的福建省顺昌县为例,提出了面向山洪预警的水雨情站网布设方法。县内现状雨量和水位站网监测密度分别为37 km2/站和76 km2/站,主要分布在平原主干河流地区,山洪灾害重点防治区内站网布设不足,小流域暴雨山洪监测和预警能力较弱。针对上述问题,综合分析流域降雨时空特征、历史山洪灾害与山洪灾害预警预报需求,对研究区水雨情站网进行了合理性分析和布设研究,建议增设雨量站3座、水位站3座,其中一座水位站同时监测降雨过程,调整后县内雨量站和水位站的监测密度达到34 km2/站和68 km2/站。本文研究对山洪灾害高发区的水雨情站网布设具有参考和指导意义。

关键词: 水雨情站网, 站网布设, 锥体法, 山洪预警, 顺昌县

Abstract:

Flash flood disaster ranks top among the natural hazards in China due to its frequent occurrence and high mortality. It has posed a severe threat to national public safety and water security. The optimal design of hydrometric network helps to capture the spatial and temporal variability of regional storm events and flash flood regimes, which can significantly improve the accuracy of flash flood warning and strengthen the flood defense capacity in small and medium catchments. However, the quantitative research on the optimal design of hydrometric network is relatively rare with consideration of flash flood disaster prevention and control. In this study, a flash flood warning-oriented method for the optimal design of hydrometric network is proposed, and Shunchang County in Fujian Province which is frequently subject to flash flood disasters is selected as a case study. Specifically, the optimal design method for rainfall station includes the Cone method and the correlation analysis method, and should further consider the characteristics of historical storm events and flash flood disasters, and local social and economic situations. The optimal design of water stage station should comprehensively consider the occurrence frequency and impact extent of historical flash flood disasters, flash flood warning requirements, and local social and economic situations. The current densities are 37 km2 per station and 76 km2 per station for rainfall stations and water stage stations, respectively, while most of the stations are distributed along the main streams in the plain, and the monitoring stations are insufficient especially in the key prevention districts for flash flood disasters. Thus, the current monitoring capacity and early warning capacity are rather weak in Shunchang County, which significantly weakens the warning and forecasting capacities of local flash flood disasters. For addressing those above-mentioned problems, the current designs of rainfall station and water stage station are quantitatively analyzed and optimized according to the spatial and temporal characteristics of storm events, the historical flash flood disasters and the forecasting requirements of flash floods. The results show that three new rainfall stations and three new water stage stations are suggested to be established in Shunchang County, in which one water stage station monitors rainfall process meanwhile. The three new rainfall stations are evenly distributed along the densely populated mountainous tributaries with rare rainfall monitoring stations and relatively weak flood defense capacity. Their establishments can improve the forecasting accuracy of local flash floods. The three new water stage stations are evenly distributed along the densely populated mountainous tributaries with relatively weak flood defense capacity, and their establishments can guarantee the forecasting requirements of flash flood disasters, and the safety of downstream villages and water infrastructures. After the optimal design of the hydrometric network in Shunchang County, the density of rainfall station and water stage station arrive at 34 km2 per station (31 rainfall stations) and 68 km2 per station (29 water stage stations), respectively. This study is expected to provide scientific references and technical guidance for the robust and quantitative design of hydrometric network in regions frequently hit by flash floods.

Key words: hydrometric network, network optimal design, Cone method, flash flood warning, Shunchang County