基于模型和GIS的棉铃品质地域分异评价系统

为了预测棉铃品质,对棉铃品质地域分异进行科学评价,以MapObjects(MO)为开发平台,C#为开发语言,基于棉铃品质模型,研制了棉铃品质地域分异评价系统。该系统以棉花品种特性、气候及施氮量等因子为基本输入,实现了对棉铃品质地域分异规律的分析和预测,并可对黄河流域和长江流域棉区238个棉花主产棉县(市)主栽棉花品种的棉子蛋白质、棉子油分、棉纤维长度、比强度、麦克隆值和棉纤维综合品质进行预测计算,运行结果以表格、曲线图、柱状图及专题地图的形式输出。以江苏省为例,对棉铃品质地域分异进行了系统的评价。运行结果表明,该系统操作简单,运行可靠,预测结果空间表达准确直观,站点评价选取灵活。该系统的实现为保障棉花区域经济可持续发展提供了科学依据。

Cotton Boll Quality Regional Distributionand Appraisal System Based on Model and GIS

In order to predict and access the cotton boll quality and their spatial distribution, taking MapObjects as investigative platform, using C#, then based on model of the cotton boll quality(CBQ), the regional distribution and appraisal system is developed. it can analysis and estimate cotton boll quality and their spatial interpolation by inputting the parameters of characteristics of cotton varieties, climate and nitrogen application rate. In the same time, it can calculate and predict cotton seed protein, cotton seed oil, cotton fiber length ,strength, micromaire and integrated fiber quality for the 238 cotton lords in the Yellow River reaches and the Yangtze River reaches . There are four result output types by data table, carve, chart and specific map. The system takes Jiangsu province as an example, evaluating regional difference of cotton boll qualities.The movement expresses that the system operates easily, runs reliably, estimates the space expression of result accurately and chooses the stations flexibly. This system can provide science basis for economy sustainable development in the cotton planting area.