欢迎访问《中国农学通报》,

中国农学通报 ›› 2009, Vol. 25 ›› Issue (14): 256-262.

所属专题: 资源与环境 现代农业发展与乡村振兴 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于GIS的重庆农业气候资源空间分布精细模拟研究

汪璇,吕家恪,刘洪斌,魏朝富,谢德体   

  • 收稿日期:2008-09-03 修回日期:2009-04-20 出版日期:2009-07-20 发布日期:2009-07-20

A Detailed Simulation Study on GIS-based Agricultural Climate Resources Spatial Distribution in Chongqing

  • Received:2008-09-03 Revised:2009-04-20 Online:2009-07-20 Published:2009-07-20

摘要: 针对重庆地区地形复杂,气候资源立体多样性明显的特点,本文将经纬度、海拔、坡度、坡向、地形遮蔽度等地理因子引入到气候空间模拟中,采用多因子日照时数模拟和小网格法建立重庆光照、热量和降水等农业气候资源的数学推算模型,在ArcGIS平台支持下,对模型进行了空间精细推算和可视化表达,并将其与常规的回归法与克里格法进行了对比分析。结果表明多因子日照模拟法由于充分考虑了坡度、坡向、日照遮蔽度等下垫面因子对日照的影响,在日照时数模拟方面能够获得较好效果;而年均温、 10℃积温采用Spline残差插值的小网格方法效果更好;年均降水量则以采用IDW残差插值的小网格方法为佳。在此基础上,对重庆地区农业光、热、水资源空间分布的基本特征进行了分析。研究成果可以为充分利用区域气候资源,合理布局农、林、牧产业,实现农业可持续发展提供有效的数据依据和科学支持

关键词: 日本沼虾, 日本沼虾, 碱性湖泊, 含盐量, 适应性

Abstract: Topographic factors including elevation, slope, aspect, hill shade and latitude, longitude were taken into consideration in terms of the complex geography and distinct tridimensional variety of climate resources in Chongqing. Applied the multi-factors sunshine hours simulation and small grid simulation methods in the prediction model, the author, supported by ArcGIS, precisely calculated the spatial distribution of the length of annual sunshine hours, annual temperature, annual active accusation temperature and rainfalls in Chongqing which were expressed visually in this paper, and also compared it with traditional spatial interpolation methods including regression and kriging . The results have shown the following findings: Multi-factors sunshine hours simulation can achieve better results in sunshine hours simulation; while small grid simulation with Spline interpolation and small grid simulation with IDW interpolation are better for annual average temperature, 10℃ accumulated temperature and annual rainfalls respectively. Based on these, the major characteristics of Chongqing agricultural climate factors spatial distribution were analyzed in the end. The results of the research are not only useful for utilizing and developing the local climate resources, but also provide detailed data and scientific support for agricultural sustainable development.

中图分类号: