基于ArcGIS Engine的陕西省土系信息查询系统构建

发布时间：2018-04-30 03:33

本文选题：土系信息系统 + 土系数据库　；参考：《西北农林科技大学》2017年硕士论文

【摘要】：土壤分类是土壤科学水平的标志,以诊断层土壤特性与成土关系为基础的谱系式的土壤系统分类日益取得广泛应用,并发展成为国内外土壤信息交流的媒介。土系信息系统是地理信息系统在土壤科学中应用分支之一,其以土壤系统分类信息为数据对象,以GIS技术和数据库为技术支撑,是一套具有数据管理、空间分析、信息服务的人机交互可视化技术系统。其辅助土壤工作者深入挖掘土壤信息,提高土壤测图、资源监测与评价、养分管理的能力,对促进土壤资源信息互通共享具有重大意义。本文以“我国土系调查与《中国土系志(中西部卷)》编制”项目为契机,在陕西省范围内展开野外调查,挖掘176个土系剖面,结合室内土壤理化性质分析结果,按照中国土壤系统分类标准完成对土壤类型自上而下层级重构;并以此为数据源,建立陕西省土系信息查询系统,研究成果如下。(1)土壤分类甄别:按照土纲-亚纲-土类-亚类-土族-土系这样谱系式结构规范整编了土壤分类信息,全省土壤归属7个土纲、14个亚纲、42个土类、67个亚类、176个土系,土系命名与划分符合规范标准。(2)构建土系信息数据库:结合土系剖面空间分布,规范化处理了陕西省土壤图、DEM、水系图和行政区划图等空间数据,以此为底图运用Geodatabase建立土系空间数据库。通过对土系环境背景信息、土系命名信息、土系化学性质信息、土系物理性质信息和土系景观照片等多种维度信息的标准化与编码处理,建立起其与土系剖面之间的逻辑关系,依据数据库设计原则构建了基于SQLServer 2012的关系型土系属性数据库。后应用土系编号实现空间数据库与属性数据库连接。(3)土系信息查询系统开发:面向用户需求以及科学管理需要,以土系信息数据库为基础,结合系统设计原则,完成了陕西省土系信息查询系统的结构与功能设计。并运用C#计算机语言与ArcGIS Engine组件式开发方式,在VisualStudio 2012的环境下实施系统开发,经系统调试、优化初步实现陕西省土系信息查询系统的研建,该系统具备空间查询、属性查询、数据管理、数据导出等功能,为土系空间数据、属性数据科学管理与信息服务提供有力的实践支持。
[Abstract]:Soil classification is a symbol of soil science level. The classification of soil system based on the relationship between soil characteristics and soil formation has been widely used and developed into a medium of soil information exchange at home and abroad. Soil system information system is one of the branches of application of geographic information system in soil science, and it is divided into soil system Class information is a data object, which is supported by GIS technology and database technology. It is a set of human-computer interaction visualization technology system with data management, spatial analysis and information service. It assists soil workers to dig soil information deeply, improve soil mapping, resource monitoring and evaluation, nutrient management ability, and promote soil resource information mutual information. Through the "China soil survey and the Chinese soil Department (central and Western volume)" project as an opportunity, this article unfolds the field survey in Shaanxi Province, excavate 176 soil sections, and combine the results of the soil physical and chemical analysis, and complete the top-down layer of soil type according to the Chinese soil system classification standard. The soil classification information inquiry system of Shaanxi province is established as the data source. (1) classification of soil classification: the soil classification information is compiled according to the genealogical subclass soil subclass soil family and soil family system, and the soil belongs to 7 soil classes, 14 subclasses, 42 soil classes, 67 subclasses, 176 soil systems and soil systems. The naming and division conforms to the standard standard. (2) building soil information database: combining the spatial distribution of soil profile, the soil map, DEM, water system map and administrative division map of Shaanxi province are normalized to establish the spatial database of soil system based on Geodatabase. The normalization and coding of various dimensional information such as chemical property information, soil physical property information and soil system landscape photos are established, and the logical relation between them and soil profile is established. Based on the database design principle, a relational data base of relational soil system based on SQLServer 2012 is constructed. Attribute database connection. (3) development of soil system information query system: facing user needs and scientific management needs, based on soil system information database and combining system design principles, the structure and function design of Shaanxi soil system information query system are completed. The C# computer language and ArcGIS Engine component development mode are used in VisualS Under the environment of tudio 2012, the system is developed, and through system debugging, the system of Shaanxi soil information query is optimized. The system has the functions of spatial query, attribute query, data management, data export and so on. It provides strong practical support for soil spatial data, attribute data scientific management and information service.

【学位授予单位】：西北农林科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P208

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