中国农业气象 ›› 2022, Vol. 43 ›› Issue (10): 846-859.doi: 10.3969/j.issn.1000-6362.2022.10.007

• 农业气象信息技术 栏目 • 上一篇    

经济林果水旱灾害综合数据库设计与建设实践:以北方苹果/ 葡萄水旱灾害为例

何延波,刘园,姜月清,毛留喜,刘布春,卢业伟   

  1. 1.国家气象中心,北京 100081;2. 中国农业科学院农业环境与可持续发展研究所/作物高效用水与抗灾减损国家工程实验室/农业农村部农业环境重点实验室,北京 100081;3.云众世纪科技有限公司,北京 100081
  • 收稿日期:2021-12-08 出版日期:2022-10-20 发布日期:2022-10-21
  • 通讯作者: 毛留喜,正研级高级工程师,气候资源利用与农业适应气候变化研究、现代农业气象情报预报业务服务。 E-mail:Maolx@cma.gov.cn
  • 作者简介:何延波,E-mail:yanbohe@sina.com
  • 基金资助:
    国家重点研发计划“重大自然灾害监测预警与防范”重点专项(2017YFC1502803)

Design and Construction Practice of the Comprehensive Database for Cash- Trees’ Flood and Drought Disasters: A Case Study on Apple and Grape in Northern China

HE Yan-bo,LIU Yuan,JIANG Yue-qing,MAO Liu-xi,LIU Bu-chun,LU Ye-wei   

  1. 1. National Meteorological Center, CMA 100081, China; 2. Institute of Environment and Sustainable Development in Agriculture, CAAS/National Engineering Laboratory of Efficient Crop Water Use and Disaster Reduction/Key Laboratory of Agricultural Environment, Ministry of Agriculture and Rural Affairs, Beijing 100081;3. Yunzhong Shiji Technology Co., Ltd, Beijing 100081
  • Received:2021-12-08 Online:2022-10-20 Published:2022-10-21

摘要: 以北方为主产区的中国两大经济水果苹果、葡萄常见的水旱灾害为例,收集整理长时间序列气象、水文、灾害、生产管理、遥感及其反演参数及土壤属性、基础地理信息等多类数据,并通过数据质量控制、标准规范制定、数据库总体方案及数据库接口设计,采用开源MySQL数据库建库技术,构建了基于C/S架构的经济林果水旱灾害综合数据库;同时基于数据库软件开发工具、GIS中间件、Quartz开源组件等,引入RBAC模型,研制了数据库管理子系统,建立数据库完备安全机制和作业调度机制,实现完善的数据采集、更新、管理、查询、分析和高效访问与共享功能,为苹果、葡萄水旱灾害监测预警、风险评估模型以及风险转移综合防范技术决策服务平台建设提供数据支撑。以北方苹果和葡萄水旱灾害为例的经济林果水旱灾害综合数据库的成功建设,为其他地区、其他林果种类和其他灾害类型的灾害综合数据库建设提供了宝贵经验。

关键词: 经济林果, 苹果, 葡萄, 多源数据, 数据库, 灾害, 洪涝, 干旱

Abstract: Apple and grape are the major cash-trees in China and their main producing areas are located in northern China. The common flood and drought disasters of apples and grapes are adopted as a case how to setup a comprehensive database for cash-trees’ disasters with powerfull abilities, which required by the comprehensive prevention technology and the decision-making service platform, for disaster monitoring and early warning, risk assessment,as well as risk transfer in this study. The database is constructed by plentiful data collections and managements, strict data quality controls and multi-source data formats requirements, as well as detailed design for database overall schemes and database interfaces, by involving the open-source MySQL database building techniques with the C/S architecture. Multi-source and multi-type data are well managed by the comprehensive disasters database, such as long-term meteorological and hydrological data, cash-trees’ disaster and orchard’s producing management information, remote sensing data and its derived information, soil properties and basic geographic information, and so on. These multidiscipline data have been stored in different ways managed by the database system. For example, the quantitative/qualitative attribute data has been input into the database tables, whereas the vector and raster datasets have been kept in the computer operation file system formats and indexed by the database table. For the efficient data management and sharing, a sub-system for database managing activities is developed by using the database software developing tools under the supports of GIS function middleware and Quartz open-source components. Within the sub-system, the Role-Based Access Control (RBAC) model has been introduce to assign the database user’s privileges and to control their behaviors for accessing the database tables. Meanwhile, many functions have been developed for task schedules, data collections and updates, data managements and storages, information statistical analyses and extractions, I/O ports accesses and model links from other platforms, as well as the basic data visualization abilities within the sub-system. Under the supports of the completely comprehensive disaster database, the early warning risk and disasters monitoring can been clearly illustrated in the cash-trees' producing areas by using the stored data and in terms of the preliminary disasters’ indicators. Therefor, the successful case study of building up this comprehensive disasters’ database contributes to promote other disaster database construction for cash-trees’ except for apple and grape, or other disasters except for floods and drought, even or other areas except for northern China.

Key words: Cash-trees, Apple, Grape, Multi-source data, Database, Disaster, Flood, Drought