| This dissertation is mainly about regional land resource evaluation and land use analysis based on G1S and SOTER (SOil and TERrain spatial and attribute database) database. The research content is composed of three parts.The first is medium scale SOTER database study, in this part, the new landform indexes are studied, which are elevation classification, slope classification and relief index classification. Base on these new landform indexes, landform of Handan was calculated and delineated. Trough overlaying of landform, parent material and soil maps, SOTER unit database is developed. Moreover, SOTER Land Resource database was established based on SOTER unit map and climate region map. SOTER Land Use database was built based on China land use classification and SOTER socio-economical database is built base on statistical data. All of theses database was integrated into a Land Information System, which can be used to land evaluation and land use analysis.The second part is the application of SOTER land information system in land evaluation, based on water balance model WATSAT, crop simulation model PS 123 and ALES (Automated land evaluation system). The Handan land evaluation model was built in ALES based on expert knowledge and farmer s' experiences, it includs three decision trees, namely soil erosion risk, soil water condition and soil fertility. Soil water condition is calculated by WATSAT model, its result (SUFF) is input into ALES. The soil water condition is sufficient for maize in most of Handan, SUFF value is between 0.8 and 1.0. Some area such as Darning, Handan City, Yongnian and Shexian is marginally suitable, SUFF value is between 0.4 and 0.8. Unsuitable areas mainly distributes on hills, mountains and valleys, SUFF value is between 0.2 and 0.4. Moreover, for Sheixan, Handan City and Darning, soil water condition during maize growth period was studied by crop model PS 123, the results show: soil water condition in Handan City is sufficient for the whole maize growth period; in Shexian, soil water is not sufficient for the whole maize growth period except heavy loam soil; in Damiag, soil water is not sufficient for maize growth since silking stage. The land evaluation result ofHandan district show: 19.7% land is unsuitable for agricultural use for soil erosion risk; 2.5% land is unsuitable for agricultural use for poor soil water condition; 9.5% land is marginally suitable because water or nutrition condition is not good enough; 68.3% land is suitable or very suitable for agricultural land use.The third part is the application of SOTER land information system in land use analysis based on statistical method and CLUE-S model. Through land use analysis in Handan, the main type of land use in handan is agricultural land use. The structure of land use has changed since 2000, forest land use increased, and land use structure change into arable land-forest-grass from arable land-grass-forest. From 1980 to 2000, arable land, grass land and water area decrease, forest and no use land increase, 62.25% water area change into arable land and forest. Arable land and forest land is stable. 3691.6 ha arable land changed into building land. From statistical analysis, one regression equation showing time series land use change is obtained. There are two driving factors which are population density (X1)and GDP (X2). From spatial analysis, another regression equation showing spatial scale land use change is established. 11 spatial driving factors are derived from 47 indexes, that are X1 slope (%), X2 organic matter (%), X3 soil available N (g/Kg), X4 soil available P (g/Kg), X5 soil texture (1-4), X6 production value in unit area of arable land/production value in unit area of other land, X7 production value in planting industry / production value in whole agricultural industries ( % ), X8 average farmer income from agricultural industries / farmer wholeincome (%), X9 average farmer income from planting industry, X10 crop yield of average farmer, X11 population density. These factors can be used in lan...
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