摘要
本文以2000年的TM遥感影像解译数据以及水文水资源数据为基础,综合运用Binary Logistic、CLUE-S模型以及SPSS19.0统计分析软件,测评了咸阳黄土台塬区水土资源在数量和空间上的配置,并在此基础上模拟了咸阳台塬区未来土地利用变化的图谱。分析发现:①从水土数量优化配置的结果可知,耕地、草地、水域及未利用地面积减少,而林地和建设用地面积则有增加的趋势;②从面向生态的角度出发,黄土台塬区的水土优化配置结果反映了台塬区土地生态系统的生态价值和经济效益,台塬区的生态效益由2000年的1.5313亿元增加到2020年的1.5445亿元;而台塬区的土地经济收益则由2000年的68.4901亿元增加到2020年的71.9021亿元;③从水土空间优化配置的结果可以看出,咸阳台塬区建设用地在过去10年以及未来10年变化极为明显,建设用地主要在原有建设用地周边进行拓展,其中,建设用地变化最为明显的区域主要集中在咸阳市的秦都区以及三原县。
Based on the remote sensing image interpretation in 2000, and combined with hydrology and water resources data, this paper evaluates optimal allocation of the soil and water resources in quantity and spatial configuration. On this basis, it simulates the land use change scenarios in Xianyang loess hilly areas through the application of binary logistic regression, CLUE-S model and SPSS 19.0 statistical analysis software. The results are shown as follows. (1) From the quantity results of optimal allocation of land and water, it is indicated that arable land, grassland, water area and unused land are decreasing, while the woodland and construction land areas are showing an increasing trend. (2) From the point of view of ecology, the results of optimal allocation of the soil and water resources in the loess hilly areas can reflect ecological value and economic benefits of land ecosystem. It is estimated that the ecological benefits would increase from 153.13 million yuan in 2000 to 154.45 million in 2020, and the land economic benefits would rise from 6.84901 billion to 7.19021 billion yuan in the 20 years. (3) From the results of spatial optimal allocation of water and land resources in the past 10 years and the next 10 years, we can come to a conclusion that the construction land has increased dramatically, and the increased area is mainly concentrated in the surrounding areas of original construction land. The areas with most significant construction land changes are mainly concentrated in the Qindu District of Xianyang city and Sanyuan county.
出处
《地理科学进展》
CSCD
北大核心
2012年第9期1224-1234,共11页
Progress in Geography
基金
国家自然科学基金项目(41071057)
教育部人文社会科学重点研究基地重大项目(2009JJD770025)
陕西师范大学中央高校基本科研专项基金项目(GK201101002)
关键词
黄土台塬区
水土优化配置
CLUE-S模型
空间模拟
咸阳
loess tableland areas
optimal allocation of water and land resources
CLUE-S model
spatial simulation
Xianyang