检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:康永辉[1,2] 解建仓[1] 黄伟军[3] 沈冰[1] 杨云川[4]
机构地区:[1]西安理工大学水利水电学院,西安710048 [2]广西壮族自治区水利电力勘测设计研究院,南宁530023 [3]广西水利电力职业技术学院,南宁530023 [4]中国科学院成都山地灾害与环境研究所,成都610041
出 处:《安徽农业大学学报》2012年第5期825-832,共8页Journal of Anhui Agricultural University
基 金:广西高校优秀人才资助计划(桂教人[2009]62号)资助
摘 要:干旱在我国是一种常见的自然现象,农业干旱灾害每年给国家和人民造成了严重的经济损失。为防患于未然和减轻干旱乏水的影响,不少国内外学者对干旱识别与评价开展了研究。本研究采用基于供需水量平衡的评价指标和用均值化方法处理得到的供需水相对指数作为熵权法的评价指标对农业干旱进行识别与评价,对属南亚热带季风气候区的田东县内不同农业区域的易旱区及干旱月、季度变化趋势、干旱程度进行识别与评价。分析计算的结果表明,熵权法用于识别与评价旱地农业干旱具有合理性,评价的结果与干旱实际情况较吻合,对干旱识别与评价是一种有效可行的方法。Drought is a familiar natural phenomenon in China, and agricultural drought disaster has caused serious economic losses to the state and the people each year. To take preventive measures to reduce the impact of drought and water shortage, many scholars at home and abroad have committed to the identification and evalua- tion of agricultural drought research. In this study, index of water supply and demand balance, and relative index of water supply and demand based on average value method were used as entropy weight coefficient index to identify and evaluate the drought differences, drought's month and quarter transformation trends and drought de- gree in different agricultural regions of Tiandong county, which is located in South Asia tropical monsoon climate zone. The analysis and calculation results show that the entropy weight method for identification and evaluation of agricultural drought in dry lands are reasonable, and the evaluation results are more consistent with the drought actual situation. It is an effective and feasible method.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117