Studies On The Arable Land Gradation And Classification Of Jiancaoping County Taiyuan

Studies on the arable land gradation and classification is based on the natural and social-economic character of arable land and the effect in the social-economic activities. It is a behaviour of synthesizing evaluate the arable land and dividing its grade and it is a part of large investigation of territorial resources. In the 1990s with the change of the rural tax system and the implement of the arable land transfer, the system of taking over for use and compensate land, protecting cultivated land, sorting out the land and exploiting suitable soil are publicated, it is urgent advise that people should evaluate the arable land with scientific method. And it can provide scientific basis for the change of the rural tax system and the implement of the arable land transfer.In recent years the studies on the arable land gradation and classification have a wide-ranging development and acquired outstanding achievements. According to Procedures and Rules for Arable Land Gradation and Classification, the thesis make studies with Taiyuan City Jiancaoping Country as study region. This region is a town's outskirts which have complicated terrain, differ greatly in land quality and contaminated arable land. The study has centred on the structural system of the index of the arable land gradation and classification, the definition and quantify of the ecological index, the divide of index's region and the foundation of data base which is based on MapGIS for the arable land gradation and classification.Jiancaoping Country is situated in the northwestern part of Taiyuan City. The country has a complicated terrain which including mountains, hills and flat lands and is a agricultural products' base of Taiyuan City and a typical outskirts of a town of the Huangtu Plateau. Base on analyzing the region the study inquired into the theories and methods of the arable land gradation and classification which is outskirts town's arable land. At the same time the study analyse the structural system of the index and it's weight with the AHP, and choose soil quality, soil thickness, the content of organic matter, terrain, elevation and the ration of irrigated guarantee as gradation index and choose soil quality, soil thickness, the content of organic matter, terrain, elevation, the ration of irrigated guarantee , the condition of traffic, thedistance from the central city , the scatter degree of field, the neat degree of field, loss of water and erosion of soil and land contamination as classification index. At the same time the study emphasize the effect of the condition of ecological condition and environmental contamination. In the analyse of gradation and classification the study use the method of factors and the dynamic model of sum taking the weight and make revision with the land use coefficient and the land economic coefficient. The grade of synthesize not only reflect the effect to each factor but outstand the leading restrict factor. At the last found the data base which is based on MapGIS for the arable land gradation and classification.The result of the study indicate:(1)The effect factor of the outskirts of a town arable land is very complicated, it include the condition of traffic, the distance from the central city, loss of water and erosion of soil and land contamination and so on besides natural factors. (2)In the analyse of gradation and classification the study use the method of factors and revise. At the same time the study determine the weight of each factor by AHP and use the dynamic model of sum taking the weight research the arable land gradation and classification. In order to unify the criterion of gradation the study use same gradual factors in the whole region. (3) According to the result of gradation and classification the region's land divide into five gradations and seven classifications, the area of five gradations is separately 12.57%, 18.28%, 27.58%, 33.41%. 8.16% and the area of seven classification is separately 12.77%, 20.06%, 15.84%, 12.64%, 25.10%, 7.75%, 5.84%. The result indicate that the...