基于GIS的县域小麦自然生产潜力评价系统

为对县域小麦生产管理和潜力挖掘提供技术支撑和辅助决策，该文在小麦自然生产潜力评价流程的基础上，收集和整理了河南省8个县域的属性数据（气象、土壤和小麦资源数据）和空间数据，创建空间-属性一体化数据库，利用UML2.0、SQL Server 2000和SuperMap GIS 2008组件技术设计实现了基于GIS的小麦自然生产潜力评价系统，系统应用基于“经验-统计法”的光、温、水、土逐级衰减机制模型，定量计算了河南省8个县域的小麦自然生产潜力，通过分类统计和分级制图，分析了县域小麦自然生产潜力的空间分布规律。研究结果表明，光合、温度、水分和土壤生产潜力空间分布规律依次为：根据纬度的增加而减少，豫西＞豫南＞豫东南＞豫北＞豫中，豫南＞豫东南＞豫西＞豫中＞豫北，豫南＞豫中＞豫北＞豫东南＞豫西；小麦自然生产潜力的关键因子影响大小为土壤＞温度＞水分，小麦自然生产潜力相对可挖掘空间大小为水分＞温度＞土壤。该系统具有普适性强、独立性好等特点，为县域小麦生产管理和潜力挖掘提供技术支撑和辅助决策。

Evaluation system of wheat natural potential productivity at county scale based on GIS

To provide technical support and ADM(aid in decision making)for wheat production management and potentiality mining, attribute data (meteorological data, soil data, wheat data) and spatial data were sorted out at eightcounties of Henan Province based on the evaluation process about crop natural potential productivity, and space-attributedatabase was created. The evaluation system of GIS-based wheat natural potential productivity was designed anddeveloped by using UML 2.0, SQL Server 2000 and SuperMap GIS 2008 components, which realized loose couplingbetween the potential productivity evaluation model interfaces and GIS. The system calculated quantificationally wheatnatural potential productivity at county scale by using mechanism models of light, temperature, water, soil based on'experience-statistics', and made the spatial distribution thematic maps of wheat natural potential productivity throughclassification statistics and grading cartography. The results showed that photosynthesis potential productivity reducedalong with latitude increasing, the order of temperature potential productivity was west>south>southeast>north>center, the order of moisture potential productivity was south>southeast>west>center>north, and the order of soilpotential productivity was south>center>north>southeast>west of Henan Province. The key factors affecting wheatnatural potential productivity were soil, followed by temperature and moisture, and the factors affecting wheat relativeproduction mining magnitude were moisture, followed by temperature and soil. The system has characteristics aboutwide applicability and good independence, which provides technical support and ADM for wheat productionmanagement and potential mining.