【作者】 王飞飞；

【导师】 孟亚利；

【作者基本信息】 南京农业大学 ， 生态学， 2010， 硕士

【摘要】 棉花种植主要分布在新疆棉区、黄河流域棉区、长江流域棉区,种植环境地域差异明显,棉花生产呈明显的地域性,结合棉花生长模型与GIS建立棉花生产管理系统,有助于研究棉花生长地域分异规律,对指导棉花生产规划与合理利用自然资源具有重要意义。本研究以棉籽品质模拟模型、棉纤维综合品质模型为核心,以MapObjects(MO)为开发平台,以县级行政区划图作为表达棉铃品质地域分异的基本载体,构建了基于模型和GIS的棉铃品质地域分异评价系统。该系统以棉花品种特性、气候及施氮量为基本输入,实现了长江和黄河中下游棉花主栽区的棉铃品质模拟预测及地域分异评价,为实现棉花生产的现代化奠定了基础。主要研究结果如下：1)在棉纤维综合品质模型、长度模型、比强度模型、麦克隆值模型、棉籽油分模拟模型、棉籽蛋白质模拟模型的基础上,针对棉铃品质具有地域性的特点,将GIS技术应用于系统中,分别建立了属性和空间数据库,并使属性数据库和空间数据库相互关联,以Visual Studio 2008为开发平台,MapObjects2.4为GIS工具,以C#为开发语言,探索GIS和模型的耦合技术,建立了基于模型和GIS的棉铃品质地域分异评价系统,实现了不同棉铃品质模型之间、模型和GIS之间、GIS和数据库之间的耦合与集成。2)实现了长江和黄河中下游棉区238个棉花主栽县主栽棉花品种的棉籽蛋白质、棉籽油分、棉纤维长度、比强度、麦克隆值和棉纤维综合品质的模拟预测,其中可以对基于过程的棉籽蛋白质、棉籽油分和棉纤维长度进行逐日模拟,模拟结果以表格、曲线图、柱状图的形式输出。根据模拟结果,系统按照等级划分,自动生成专题地图,以此对研究区域的棉铃品质进行地域分异评价。3)利用江苏部分县市的资料,对系统进行了实际验证。结果表明,系统实现了对黄河流域棉区和长江流域棉区棉花主栽县市棉铃品质的预测和地域分异评价,系统界面清晰,功能菜单逐级明确,操作简单,整个系统运行可靠、安全性强；对结果的渲染效果美观,自动性强,视觉效果好。系统评价结果与当地棉铃品质现状基本相符,有助于指导棉花区域优质生产。更多还原

【Abstract】 Cotton is planted in many places and the planted environment geographical differences are significant. The cotton production management systems which are established base in cotton growth model and GIS contribute is important to the growth of regional patterns of cotton, cotton production planning and to guide the rational use of natural resources. In this study, cottonseed quality simulation model, the quality ofcotton fiber integrated model as the core, MapObjects (MO) as the development platform, to map county-level administrative divisions as the expression of boll quality carrier of regional differences, the use of software engineering idea to construct a cotton boll quality regional distribution and Appraisal System based on model and GIS.By inputting the parameters of cotton species characteristic, climate and nitrogen application rate, it can analysis and estimate the Yangtze and Yellow River cotton area of the cotton boll quality and their spatial interpolation and important to the realization of the modernization of cotton production.With the comprehensive quality of cotton fiber model, the length of model, strength model, micronaire value models and process-based simulation model for cotton fiber length, cottonseed oil simulation model, cottonseed protein simulation model, based on the quality for the cotton bolls have territorial characteristics, the GIS was applied to the system,and the attribute database and spatial database were constructed, and the connection of spatial database with attribute database was realized,taking Visual Studio 2008 as development platform, MapObjects2.4 for the GIS tool to C# as development language, and explored GIS and model coupling technology, a cotton boll quality regional distribution and Appraisal System based on model and GIS was developed.It can realize the integration and coupling between the models Boll, between models and GIS, GIS and database.In the same time, each station of 238 cotton lords in the Yellow River reaches and the Yangtze River reaches can be calculated and predicted for cotton seed protein, cotton seed oil, cotton fiber length,strength, micromaire and integrated fiber quality. Showing the result by using the form, carve and chart. According to the simulation results, the system in accordance with the classification, automatic generation of thematic maps for the regional distribution and appraisal.Case study and testing of the system were carried out with the data from eco-sites of Jiangsu province. The result indicated that cotton lords in the Yellow River reaches and the Yangtze River reaches can be calculated and achieved the regional distribution and appraisal. The CBQ’s interfaces were very clear,its function menu was definite and easy to operate.and its operation are reliable and safe:During the forecasting operation on the cotton boll quality,CBQ shows a agile and arbitrary ability; The display and inquiry format of the result is colorful, beautiful and automatic. System evaluation results were consistent with the local situation.it can help guide the regional high-quality cotton production.更多还原