Arid
陕西省自然灾害分区与环境评价
其他题名Regional Classification and Environment Assessment of Natural Disasters In Shaanxi
刘引鸽1; 李团胜2
来源期刊中国人口·资源与环境
ISSN1002-2104
出版年2005
卷号15期号:2页码:61-64
中文摘要依托遥感获取的土地利用现状数据为依据,结合陕西省96个站点近45年的气象和地质资料,选择干旱、雨涝、沙漠化、水土流失、滑坡、泥石流、冰雹等指标.应用主成分分析等方法将陕西省划分为极重灾害区、重灾害区、中灾害区和少灾害区等4个灾害等级区域,分析了其区域差异特征。结合不同区域的自然环境与社会经济状况进行了自然灾害的综合灾势分析与环境可持续发展评价。
英文摘要Based on the land use data derived from remote sensing, weather and geology information data for the recent 45 years in Shaanxi, the features of regional differentiation were analyzed. The comprehensive indices lor natural calamity, including: aridity, water-logging, desertification, water and soil loss, landslide, mud - rock flow and hailstone were selected and analytical main composition method was applied. According to the degree of different calamity, Shaanxi province was divided into four disaster regions, extreme heavy, heavy, middle and little. Furthermore , the integrated analysis and assessment of the tendency of different regions disasters was presented, comhined with their natural environment and socio-economic condition. The results show that the natural environment is fragile, natural calamities are many in unmber, intensity is great in the middle of Guanzhong and north of Shaanxi. Therefore, reasonable land use, scientific production planning and implementation of the project should l>e established to reduce the occurrence of nature disasters, make the developments of the ecosystem environment and society economy beneficial and speed up the step of the northwest development.
中文关键词自然灾害 ; 分区指标 ; 环境评价
英文关键词natural calamity regional index environment assessment
语种中文
国家中国
收录类别CSCD
WOS类目ENVIRONMENTAL SCIENCES
WOS研究方向Environmental Sciences & Ecology
CSCD记录号CSCD:2133072
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/206941
作者单位1.宝鸡文理学院地理科学与环境工程系, 宝鸡, 陕西 721007, 中国;
2.长安大学地球科学与国土资源研究, 西安, 陕西 710054, 中国
推荐引用方式
GB/T 7714
刘引鸽,李团胜. 陕西省自然灾害分区与环境评价[J],2005,15(2):61-64.
APA 刘引鸽,&李团胜.(2005).陕西省自然灾害分区与环境评价.中国人口·资源与环境,15(2),61-64.
MLA 刘引鸽,et al."陕西省自然灾害分区与环境评价".中国人口·资源与环境 15.2(2005):61-64.
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