基于GIS的黄土高原丘陵沟壑区的耕地地力评价研究

Studies on Evaluation of Arable Land Power in Hilly Gully Regions of Loess Plateau Based on GIS – Taking Arable Land Power Evaluation in Maiji District of Tianshui City as an Example

关键词:  GIS　黄土高原丘陵沟壑区　耕地地力评价　层次分析　模糊数学

Key words:  GIS, Arable land power evaluation, Layer analysis, Fuzzy mathematics

摘要:

应用GIS技术，结合层次分析法和模糊数学综合评价方法等现代统计分析技术，在耕地地力调查的基础上，从土壤立地条件、土壤理化性状、剖面构型、气候、土壤管理等5个方面选取14项指标，对麦积区耕地地力进行综合评价，研究其影响该区耕地地力的主要指标。结果表明，麦积区耕地地力等级可分为5等，1～5等地，分别占总耕地面积的2．74％、9．18％、56．84％、30．45％、1．40％，其分别对应国家6～10等地；通过层次分析组合权重分析，灌溉能力、年降水量、有效磷、坡向、有机质为影响该区耕地地力最重要的指标。

Abstract:

GIS technology combined with modern statistical analysis technology, such as: layer analysis method and fuzzy mathematics comprehensive evaluation method were applied in this paper. On the basis of investigating the arable land power, 14 targets from 5 aspects of soil 立地(location?) condition, soil physical and chemical properties, section structure and type, climate, soil management, etc. were selected. The paper conducted comprehensive evaluation on arable land power in Maiji District and studied the major influencing targets. The results indicated that arable land power in Maiji District could be divided into 5 grades. The areas of 1st - 5th grades occupied 2.74%, 9.18%, 56.84%, 30.45%, 1.40% of the total arable land areas, respectively corresponding to the national 6th – 10th grades. By layer analysis constitute with weight analysis, irrigation ability, annual rainfall, effective phosphorus, slope direction, organic matter were assigned as the important targets influencing the arable land power in Maiji District.