首页 | 本学科首页   官方微博 | 高级检索  
     检索      

辽宁省精细化暴雨洪涝灾害风险评估与预评估
引用本文:敖雪,翟晴飞,赵春雨,周晓宇,崔妍,李经纬,李明倩.辽宁省精细化暴雨洪涝灾害风险评估与预评估[J].气象科技,2024,52(3):403-414.
作者姓名:敖雪  翟晴飞  赵春雨  周晓宇  崔妍  李经纬  李明倩
作者单位:辽宁省气候中心,沈阳 110166;辽宁省气象信息中心,沈阳 110166
基金项目:辽宁省气象局科研课题(202408)、辽宁省第一次自然灾害综合风险普查、辽宁省气象局人才计划科技活动资助项目(RC202302)和中国气象局创新发展专项(CXFZ2021J047)资助
摘    要:基于辽宁省61个国家气象站1961—2020年和998个区域自动气象观测站建站至2020年逐小时、逐日降水资料,分析了辽宁省暴雨洪涝灾害主要致灾因子,计算了暴雨洪涝孕灾环境指标,完成了辽宁省暴雨洪涝灾害危险性评估。结果表明:暴雨洪涝高危险性地区主要位于丹东;暴雨洪涝灾害人口高风险区主要位于沈阳和大连市区;经济高风险区主要位于大连和盘锦市区;水稻、玉米高风险区主要位于锦州、盘锦和丹东。利用辽宁省无缝隙智能网格预报数据对2022年7月28—29日的暴雨过程灾害风险进行了预评估,发现暴雨灾害危险性高值区域主要分布在朝阳、葫芦岛以及辽宁中部。暴雨灾害可能造成的人口、经济高风险区域主要位于辽宁西部和中部地区;暴雨灾害可能造成的水稻和玉米高风险区主要位于沈阳、铁岭和朝阳北部等地区。预计高风险区主要影响人口约为449万人,经济损失约为1432万元,受影响的水稻面积约为1.028万公顷、玉米面积约为1.798万公顷。通过灾后效果检验,发现预评估模型效果良好,可在实际的暴雨洪涝灾害风险评估业务中使用。

关 键 词:精细化  暴雨洪涝  风险预评估  辽宁省
收稿时间:2023/6/5 0:00:00
修稿时间:2024/1/15 0:00:00

Risk Assessment and Pre-assessment of Refined Rainstorm and Flood Disaster in Liaoning Province
AO Xue,ZHAI Qingfei,ZHAO Chunyu,ZHOU Xiaoyu,CUI Yan,LI Jingwei,LING Mingqian.Risk Assessment and Pre-assessment of Refined Rainstorm and Flood Disaster in Liaoning Province[J].Meteorological Science and Technology,2024,52(3):403-414.
Authors:AO Xue  ZHAI Qingfei  ZHAO Chunyu  ZHOU Xiaoyu  CUI Yan  LI Jingwei  LING Mingqian
Institution:Climate Center of Liaoning, Shenyang 110166;Liaoning Weather Modification Office, Shenyang 110166
Abstract:Based on the hourly and daily precipitation data of 61 national meteorological stations from 1961 to 2020 and 998 regional automatic meteorological observation stations from the beginning of the establishment to 2020 in Liaoning Province, we analyse the main causing factors of rainstorm and flood disaster, calculate the environmental indicators of rainstorm and flood disaster, and complete the hazard assessment of rainstorm and flood disaster in Liaoning Province. The results show that the high-risk area of rainstorms and floods is mainly located in Dandong. The high population risk areas of rainstorm and flood disaster are mainly located in Shenyang and Dalian urban areas. The high economic risk areas of rainstorm and flood disaster are mainly located in Dalian and Panjin urban areas. The high-risk areas of rice and maize are mainly located in Jinzhou, Panjin, and Dandong. The disaster risk of the rainstorm process on 28-29 July 2022 is pre-assessed using the intelligent grid forecast data of Liaoning Province. It is found that the high hazardous areas are mainly distributed in Chaoyang, Huludao, and the central part of Liaoning. The population and economic high-risk areas caused by the rainstorm disaster are mainly located in the western and central areas. The high-risk areas of rice and maize caused by rainstorm disaster are mainly located in Shenyang, Tieling, and the north of Chaoyang. It is estimated that the population affected in the high-risk area is about 4.49 million, the economic loss is about 14.32 million yuan. The affected rice area is about 10,280 hectares, the maize area is about 17,798 hectares. Through the post-disaster effect test, it is found that the pre-assessment model is effective and can be used in the actual rainstorm and flood disaster risk assessment business.
Keywords:refinement  rainstorm and flood  risk pre-assessment  Liaoning Province
点击此处可从《气象科技》浏览原始摘要信息
点击此处可从《气象科技》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号