农业工程学报
農業工程學報
농업공정학보
2013年
24期
110-117
,共8页
殷洁%裴志远%陈曦炜%易湘生%孙丽
慇潔%裴誌遠%陳晞煒%易湘生%孫麗
은길%배지원%진희위%역상생%손려
洪水灾害%风险评估%GIS%武陵山区
洪水災害%風險評估%GIS%武陵山區
홍수재해%풍험평고%GIS%무릉산구
flood disaster%risk assessment%GIS%Wuling mountain region
武陵山区是我国14个集中连片特困区之一,跨省交界面大、少数民族聚居多、贫困人口分布广,该区域内洪水灾害频发,使得“因灾致贫、因灾返贫”现象较为突出,对区域经济发展造成较大的阻力。本文基于灾害系统学原理,构建了适合区域成灾特点的风险评估指标体系,采用风险评估模型,对武陵山区洪水灾害风险进行评估。研究结果表明:尽管区域洪灾易发,但承灾体脆弱性较低,致使武陵山区洪水灾害风险等级全区总体水平较低,高风险区呈东北-西南向条带状分布,从东南向西北,依次有:东南部的涟源市、冷水江市、新化县、隆回县、邵阳县、洞口县、武冈市高风险区;中部的石门-慈利-沅陵-芦溪-辰溪-溆浦-麻阳-芷江一线高风险区,西北部的丰都-石柱西北部高风险区。
武陵山區是我國14箇集中連片特睏區之一,跨省交界麵大、少數民族聚居多、貧睏人口分佈廣,該區域內洪水災害頻髮,使得“因災緻貧、因災返貧”現象較為突齣,對區域經濟髮展造成較大的阻力。本文基于災害繫統學原理,構建瞭適閤區域成災特點的風險評估指標體繫,採用風險評估模型,對武陵山區洪水災害風險進行評估。研究結果錶明:儘管區域洪災易髮,但承災體脆弱性較低,緻使武陵山區洪水災害風險等級全區總體水平較低,高風險區呈東北-西南嚮條帶狀分佈,從東南嚮西北,依次有:東南部的漣源市、冷水江市、新化縣、隆迴縣、邵暘縣、洞口縣、武岡市高風險區;中部的石門-慈利-沅陵-蘆溪-辰溪-溆浦-痳暘-芷江一線高風險區,西北部的豐都-石柱西北部高風險區。
무릉산구시아국14개집중련편특곤구지일,과성교계면대、소수민족취거다、빈곤인구분포엄,해구역내홍수재해빈발,사득“인재치빈、인재반빈”현상교위돌출,대구역경제발전조성교대적조력。본문기우재해계통학원리,구건료괄합구역성재특점적풍험평고지표체계,채용풍험평고모형,대무릉산구홍수재해풍험진행평고。연구결과표명:진관구역홍재역발,단승재체취약성교저,치사무릉산구홍수재해풍험등급전구총체수평교저,고풍험구정동북-서남향조대상분포,종동남향서북,의차유:동남부적련원시、랭수강시、신화현、륭회현、소양현、동구현、무강시고풍험구;중부적석문-자리-원릉-호계-신계-서포-마양-지강일선고풍험구,서북부적봉도-석주서북부고풍험구。
Flood disasters happen frequently in recent years and causes great loss in parts of China. Wuling Mountain Region is one of fourteen Continuous Extremely Poverty Areas (CEPA), across three provinces and one municipality city (respectively is Hubei Province, Hunan Province, Guizhou Province and Chongqing City). The region is characterized with large minority population and wide poor people distribution, where annual precipitation is between 730 and 1260mm, and flood disasters occur frequently. The flood disaster threatens the communities usually, which pushes the people in worse condition. Based on the natural and social conditions, the resistance of economic development is relatively large, for the outstanding phenomenon of “disaster induced poverty and disaster recurrent poverty”in this region. In this paper, on the basis of disaster system theory, flood disaster risk indicator system was established in the varied topography and poor people wide distribution mountainous area. The flood disaster risk indicator system divided into three main components, namely hazard indicator (H), sensitivity indicator(S) and vulnerability indicator (V). In the indicator system, precipitation was driving factor of flood, belonged to hazard indicator(H), terrain, river system, soil and resistance ability were factors for flood redistribution, belonged to sensitivity indicator(S), population, crops and buildings were belonged to vulnerability indicator(V). According to geographical information system (GIS), some counties in the middle eastern of study area had higher hazard level for strong rainfall. The hazard environment was complex involving seven factors, and the result showed the higher sensitive area was in band from northeastern to southwestern. And the vulnerability was in different pattern from hazard and sensitivity, the higher sensitive areas were located in eastern and western, and the lower areas was seated on the middle part of the region. Applying risk assessment model based on flood disaster hazard, environment sensitivity, resilient society vulnerabilities, different hazard bearing bodies’ and integrated risks caused by flood disaster were computed in Wuling Mountain Region. The results indicated that the study area risk level was relatively lower, and the total area of low and lower risk levels was up to 85.63%. The high risk areas were in bands distribution from northeast to southwest in the study area. There are three bands from southeast to northwest, respectively is southeast region(including Lianyuan City, Lengshuijiang City, Xinhua County, Longhui County, Shaoyang County, Dongkou County and Wugang City), central strip region(including Shimen County- Cili County- Yuanling County- Luxi County-Chenxi County- Xupu County- Mayang County- Zhijiang County), and northwest region(including Fengdu County and Shizhu County northwestern). This result was similar to the previous study on the scale of whole country. The pressures of regional poverty alleviation and disaster reduction are large because of the regional feature, although total flood disaster risk level is comparatively low. The results of this study will be useful in the poverty alleviation practice and regional natural disaster risk management. The next important work will focus on action mechanism between natural disaster risk and regional poverty, which will be an interesting achievement for guidance the poverty reduction, medium-term/long-term programs and regional development.