摘要
为对土壤盐渍化程度做更为科学的定量分析,该文重点研究地下水埋深、地下水矿化度和地貌因子对土壤盐渍化影响以及这种影响的定量化,研究区为吉林省长岭县实验区。利用地理信息系统作为支持工具,结合遥感数据和专家经验,建立数学模型,进行综合分析,获得了较好的结果,这种方法为分析土壤盐渍化问题的有效途径之一。
The focus of this paper is the impact of ground water depth, ground water mineralization rate and geomorphology on soil salinity. The quantitative relationship of this impact was analyzed using a numerical moclel. The results on soil salinization are provided for the Chang Ling experimental region, in Jilin province, China. A GIS support tool was used to combine remotely sensed data and expert advice, with a mathematical model. Good results were achieved from the synthetic analysis. This quantitative method is an effective research tool for analysing salinity problem in soils.
出处
《遥感学报》
EI
CSCD
1997年第3期237-240,共4页
NATIONAL REMOTE SENSING BULLETIN
基金
中国科学院长春净月谭遥感实验站资助
关键词
水文
地貌
盐渍化
遥感
土壤
GIS
Hydrology, Geomorphology, Salinity, GIS, Models, Renote sensing
