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基于WebGIS的SDCWR评价模型系统设计与实现

发布时间:2019-05-19 15:36
【摘要】:水资源是粮食生产安全的重要影响因素,当代农业作物需水满足度评价迫切需要科学精准的诊断技术,WebGIS技术已被广泛地应用于农业信息化发展,为作物需水评价提供了精准的决策支持。本文结合WebGIS开发技术和区域作物需水满足度(Satisfying Degree of Crop Water Requirement,SDCWR)评价模型,基于 B/S 三层架构模式,选用jQuery搭建了 AJAX基本框架、Openlayers作为WebGIS开发组件,设计与实现了基于WebGIS的SDCWR评价模型软件系统,规范了 SDCWR评价数据的处理流程,使SDCWR评价模型从传统的手工实验计算转变为流程化和规范化的系统评价方法,提高了 SDCWR评价分级指数的可视化效果,能够为粮食安全和作物需水灌溉提供一定的决策支持,本文的主要工作及取得的工作成果有:(1)SDCWR评价模型理论和开发技术研究,通过对作物需水评价系统研究相关的理论和方法进行综述,分析了现有研究的不足,对SDCWR评价模型的基本原理、计算过程、数据获取及处理规范进行了研究,结合WebGIS系统开发优势,阐述了 Web Service体系结构、AJAX技术原理等Web开发技术。(2)SDCWR评价模型系统设计与实现,系统基于B/S三层架构设计模式,选用jQuery搭建了 AJAX框架,选用Openlayers作为系统开发组件;规范了 SDCWR评价数据输入格式标准,设计了基于Shapefile和Web Service的评价数据输出模式;系统应用MS SQLServer构建数据库,设计了各类评价数据的有效存取机制,实现了快速访问;对系统功能模块进行了详细设计与实现,开发了基于WebGIS的SDCWR评价模型软件系统。(3)SDCWR评价模型系统实证研究,以湖北省为整体研究区域,以其行政区划为评价单元,根据区域作物组合及种植面积、作物生育期需水规律不同的评价理论,选取典型的3、6、9、12月作为系统评价时段,收集SDCWR评价数据进行规范化处理,系统应用研究发现:从湖北整体上看,各个评价单元3、6、9、12月的SDCWR 评价指数分别处于[0.2-0.4]、[0.4-0.6]、[0.6-0.8]、[0.8~1.0]之间,呈现典型的上升趋势,且与我国降水量规律类似,表现出自东南向西北逐渐递减的基本态势,一方面验证了 SDCWR评价模型理论的科学性,作物需水与区域地形、降水、作物种植类型及面积、人口及工农业发展分布关系密切,另一方面检测了系统设计与实现的规范性和有效性,可以对系统推广进行有益地尝试。
[Abstract]:Water resources are an important factor affecting the safety of grain production. The evaluation of water adequacy of contemporary agricultural crops urgently needs scientific and accurate diagnostic technology. WebGIS technology has been widely used in the development of agricultural information. It provides accurate decision support for crop water demand evaluation. In this paper, based on WebGIS development technology and regional crop water satisfaction (Satisfying Degree of Crop Water Requirement,SDCWR) evaluation model, based on the B / S three-tier architecture model, the basic framework of AJAX is built by jQuery, and Openlayers is used as the development component of WebGIS. The software system of SDCWR evaluation model based on WebGIS is designed and implemented, which standardizes the processing flow of SDCWR evaluation data, and changes the SDCWR evaluation model from traditional manual experimental calculation to process and standardized system evaluation method. The visualization effect of SDCWR evaluation classification index is improved, which can provide certain decision support for food security and crop water demand irrigation. The main work and achievements of this paper are as follows: (1) the theory of SDCWR evaluation model and the research of development technology. Based on the review of the theories and methods related to the evaluation system of crop water demand, the shortcomings of the existing research are analyzed, and the basic principle, calculation process, data acquisition and processing specifications of the SDCWR evaluation model are studied. Combined with the advantages of WebGIS system development, this paper expounds the Web development technology such as Web Service architecture, AJAX technology principle and so on. (2) the design and implementation of SDCWR evaluation model system is based on the design pattern of B / S three-tier architecture, and jQuery is selected to build the AJAX framework. Openlayers is selected as the system development component. The standard of SDCWR evaluation data input format is standardized, and the evaluation data output mode based on Shapefile and Web Service is designed, and the database is constructed by MS SQLServer, and the effective access mechanism of all kinds of evaluation data is designed, and the fast access is realized. The functional module of the system is designed and implemented in detail, and the software system of SDCWR evaluation model based on WebGIS is developed. (3) the empirical study of SDCWR evaluation model system takes Hubei Province as the whole research area and its administrative division as the evaluation unit. According to the evaluation theory of regional crop combination and planting area and the law of water demand during crop growth period, the typical 3, 6, 9, 12 months were selected as the systematic evaluation period, and the SDCWR evaluation data were collected for standardized processing. From the perspective of Hubei as a whole, the SDCWR evaluation indexes of each evaluation unit 3, 6, 9 and 12 were [0.2 鈮,

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