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WebGIS支持下的黑土农田施肥决策支持系统--以黑龙江省双城市为例
李勇1,2, 赵军1, 王毅博3, 谢叶伟4, 张磊4, 宋春雨1, 杨靖一5
1.中国科学院东北地理与农业生态研究所, 黑龙江 哈尔滨 150081;2.中国科学院研究生院, 北京 100049;3.上海集成电路研发中心, 上海 201203;4.东北林业大学, 黑龙江 哈尔滨 150040;5.加拿大农业和农产品部温室与作物加工研究中心, 加拿大 安大略 N0R 1G0
摘要:
以双城市农田耕层0--0 cm采样数据和土壤图、区划图、土地利用图为基础,通过地统计学和空间叠加分析方法,生成了施肥管理图。并以长期田间试验和施肥模型为依据,建立了推荐施肥指导数据库和专家系统。在ArcGIS Server平台上,利用JAVA Script编程语言开发了双城市施肥决策支持系统。该系统可以在全市范围内按照不同的地力和养分等级进行施肥指导。系统操作简便,可视化程度高,可以帮助农户获得合理的施肥建议,可为决策者对区域土壤养分动态变化的监测和管理提供数据支持,为促进农村信息化建设、提高土壤肥力质量和作物产量,保护生态环境提供了基于GIS的信息化管理平台。
关键词:  WebGIS  施肥指导系统  空间分析  施肥管理图
DOI:
分类号:
基金项目:黑龙江省自然科学基金重点项目(ZD200813201);地方攻关项目(2007AA6CN6104);中国科学院知识创新工程重大项目(KSCX12YW209209)
Developing a WebGIS Fertilizer Decision Support System in Black Soil Zone of Northeast China-A Case Study of Shuangcheng County in Heilongjiang Province
LI Yong1,2, ZHAO Jun1, WANG Yi-bo3, XIE Ye-wei4, ZHANG Lei4, SONG Chun-yu1, YANG Jing-yi5
1.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin,Heilongjiang 150081, China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100049,China;3.Shanghai Integrated Circuit Research and Development Center,Shanghai 201203,China;4.Northeast Forestry University,Harbin,Heilongjiang 150040,China;5.Agriculture and Agri-Food Canada,Greenhouse Processing and Crop Research Centre,Ontario N0R 1G0,Canada
Abstract:
A Fertilizer Decision Support System was developed based on the long term maize field experiments in Shuangcheng County located in black soil region, Northeast China. In the study, 500 soil samples in the0-20cm layer were collected from the cor nfield in all the Shuangcheng County and the support scheme of the system was established by the long-term experiment in the field and fertilization model. The geostatistics and Kriging methods were used in the study in order to analyze the spatial heterogeneity of soil nutrients and make the map of fertilization management unit. The Java Script Language was used to develop the Fertilizer Decision Support System on ArcGIS Servers. Using this system, agronomists and decision makers can obtain information on the spatial variability of soil fertility and make decision on strategic management on soil fertil-ity. In addition, far mers can access the system to obtain their fertilizer recommendations easily. This research provides a useful tool to promote the application of agricultural information through WebGIS, to increase farmer's profit, and to improve sustainable agriculture and environment protection.
Key words:  WebGIS  fertilizer decision support system  spatial analysis  fertilization management map