Construction of small reservoir monitoring and early warning system based on meteorological and hydrological data fusion
LI Jingbing1, WANG Yuli1, ZHANG Jintang1, HU Yuzhong1, SHU Lei2, LIU Changjun3,4, REN Minglei3,4, WANG Gang3,4, CHEN Sheng3,4
1. Anhui Hydrological Bureau, Hefei 230022; 2. Wote Water Science Co., Ltd, Hefei 230092; 3. China Institute of Water Resources and Hydropower Research, Beijing 100038; 4. Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038
Abstract：There are the large number of small reservoirs in China, which have major risk of operation with high illconditioned and/or dangerous risk rate. The problem of flood security of small- scale reservoirs is still very prominent. A considerable number of small-scale reservoirs are in danger or collapse every year. In consideration of the characteristics of short forecast period and difficult early warning for small-scale reservoirs, based on the monitoring data of small reservoirs, real-time rainfall and meteorological forecast rainfall, the early-warning technology called“four-axis and three-phase”which can form a relationship between water level, storage capacity, rainfall receiving capacity and forecasted rainfall is adopted to improve the early warning ability of small-scale reservoirs. Practice has proved that: the rainfall information service and early warning system of small reservoirs based on meteorological and hydrological fusion technology can improve the information management efficiency of small reservoirs, strengthen the information security management of small reservoirs, effectively prolong the early warning and forecast period and improve the forecast and early warning ability, which is of great application value for the flood management of small-scale reservoirs.
李京兵, 王玉丽, 张锦堂, 胡余忠, 舒雷, 刘昌军, 任明磊, 王刚, 陈胜. 基于气象水文数据融合的小型水库监测预警系统建设[J]. 中国防汛抗旱, 2022, 32(6): 60-66.
LI Jingbing, WANG Yuli, ZHANG Jintang, HU Yuzhong, SHU Lei, LIU Changjun, REN Minglei, WANG Gang, CHEN Sheng. Construction of small reservoir monitoring and early warning system based on meteorological and hydrological data fusion. journal1, 2022, 32(6): 60-66.
2022, Vol. 32 
