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Space-Time Variability and Prognosis of Soil Salinization in Yucheng City, China

机译:禹城市土壤盐渍化的时空变化及预测

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This research used both geostatistics and GIS approach to compare temporal change of soil salt between 1980 and 2003, to analyze the spatial distribution of surface soil salt, to developed methods for predicting soil salinization potential based on recent improvements to the Dempster-Shafer theory, and to develop probability maps of potential salinization in Yucheng City, China. A semivariogram model of soil salt content was developed from the spherical model, and then employing kriging interpolation the spatial distribution of salt content in 2003 was obtained utilizing data from 100soil sampling points. Potential salinization distribution was mapped using an approach that integrated soil data of the second general survey in 1980 in Yucheng City, which included groundwater salinity, groundwater depth, soil texture, soil organic matter content, and geomorphic maps. With the support of Dempster-Shafer theory and fuzzy set technique the factors that affected potential soil salinization were characterized and integrated; and then soil salinization was predicted.Finally a prognosis map of potential salinization distribution in the research area was obtained, with higher probability values indicating higher hazards to salinity processes. The distribution of the potential soil salinization probability was a successive surface.
机译:这项研究使用地统计学和GIS方法比较了1980年至2003年之间土壤盐分的时间变化,分析了表面土壤盐分的空间分布,并基于对Dempster-Shafer理论的最新改进,开发了预测土壤盐碱化潜力的方法,以及绘制中国禹城市潜在盐碱化的概率图。从球形模型建立了土壤盐分的半变异函数模型,然后使用克里格插值法,利用来自100个土壤采样点的数据,获得了2003年盐分的空间分布。利用盐城地区1980年第二次普查的土壤数据进行综合,绘制了潜在的盐碱化分布图,包括地下水盐度,地下水深度,土壤质地,土壤有机质含量和地貌图。在Dempster-Shafer理论和模糊集技术的支持下,对影响潜在土壤盐渍化的因素进行了表征和综合。最后获得了该研究区潜在盐渍化分布的预后图,概率值越高表明对盐渍化过程的危害越大。潜在土壤盐碱化概率的分布是连续的表面。

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