| 洞庭湖区农业水旱灾害演变特征及影响因素——60年来的灾情诊断 |
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| 引用本文： | 李景保,余果,欧朝敏,傅丽华,张磊,胡巍,代勇.洞庭湖区农业水旱灾害演变特征及影响因素——60年来的灾情诊断[J].自然灾害学报,2011(2). |
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| 作者姓名： | 李景保 余果 欧朝敏 傅丽华 张磊 胡巍 代勇 |
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| 作者单位： | 湖南师范大学资源与环境科学学院;国防科学技术大学信息系统与管理学院; |
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| 基金项目： | 国家自然科学基金项目(41071067); 湖南省重点学科自然地理学建设项目 |
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| 摘 要： | 以洞庭湖区1950-2009年的灾情?雨情和水情等资料为依据,运用灾害系统理论与方法,分析了湖区农业水旱灾害的演变特征及其影响因素。结果表明:在水旱灾害时间序列中,其演变特征表现为:⑴具有明显的频发性,不同等级的旱灾在1950-1999年间为间歇发生,但2000年以来为连年发生,不同等级的水灾年年发生;⑵水旱承灾体受灾率?成灾率异常指数的演变具有高位波动性,其中以水灾波动幅度最大;⑶水旱灾害损失演变的总体趋势表现为:水灾损失减少,旱灾损失稍有增加;⑷三峡水库运行以来,毁灭性的洪溃决堤灾害得到有效控制,但涝渍灾害仍然频发,夏秋连旱灾害年年发生。水旱灾害的这些演变特征即是洞庭湖流域降水量年际、年内分配不均,河?湖?库蓄水量年际年内变化大,以及湖区各个阶段对防洪?排涝?抗旱等水利设施建设投资力度的差异等因素综合作用的结果。
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| 关 键 词： | 洞庭湖区 水旱灾害 演变特征 影响因素 |
Evolution characters and influence factors of agricultural flood and drought in Dongting Lake area:diagnosis of disaster situation in recent 60 years |
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| LI Jing-bao,YU Guo,OU Chao-min,FU Li-hua,ZHANG Lei,HU Wei,DAI Yong.Evolution characters and influence factors of agricultural flood and drought in Dongting Lake area:diagnosis of disaster situation in recent 60 years[J].Journal of Natural Disasters,2011(2). |
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| Authors: | LI Jing-bao YU Guo OU Chao-min FU Li-hua ZHANG Lei HU Wei DAI Yong |
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| Institution: | LI Jing-bao1,YU Guo1,OU Chao-min2,FU Li-hua1,ZHANG Lei1,HU Wei1,DAI Yong1(1.College of Resources and Enviromental Science,Hunan Normal University,Changsha 410081,China,2.College of Information System and Management,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | Based on the data of disaster,rain and water in Dongting Lake area from 1950 to 2009,evolution characters and influence factors of agricultural flood and drought were analyzed by disaster system theory and method.The results indicate that in the time series of flood and drought,the evolution charactes can be presented as follows:(1)Flood and drought occurs frequently.Different-grades drought has taken place intermittently from 1950 to 1999,while it has happened for years since 2000.And different-grades floo... |
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| Keywords: | Dongting Lake area flood and drought evolution characters influence factor |
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