湖北农业科学 ›› 2022, Vol. 61 ›› Issue (6): 143-147.doi: 10.14088/j.cnki.issn0439-8114.2022.06.028

• 信息工程 • 上一篇    下一篇

徐州市农田土壤墒情精细化评估业务系统

薛丹, 张仁祖, 胡慎慎, 李静怡, 贾红, 张利华, 陈耿, 曹梦瑶   

  1. 徐州市气象局,江苏 徐州 221000
  • 收稿日期:2021-10-13 出版日期:2022-03-25 发布日期:2022-04-18
  • 通讯作者: 张仁祖(1968-),男,江苏洪泽人,高级工程师,主要从事农业气象服务工作,(电子信箱)zhangrenzu.xz@163.com。
  • 作者简介:薛丹(1994-),女,江苏靖江人,助理工程师,硕士,主要从事气象服务工作,(电话)18602513317(电子信箱)314624186@qq.com。

An operational system for the fine evaluation of farmland soil moisture in Xuzhou city

XUE Dan, ZHANG Ren-zu, HU Shen-shen, LI Jing-yi, JIA Hong, ZHANG Li-hua, CHEN Geng, CAO Meng-yao   

  1. Xuzhou Meteorological Bureau, Xuzhou 221000, Jiangsu, China
  • Received:2021-10-13 Online:2022-03-25 Published:2022-04-18

摘要: 农田土壤墒情是影响农业生产的关键因子之一。为解决传统农田土壤墒情监测点少、监测时效差、区域分布评估困难等问题,基于CLDAS土壤湿度分析产品,通过Python编程语言,建立徐州市农田土壤墒情精细化评估业务系统。结果表明,该系统操作简便,能够实现农田土壤墒情全面、准确、快速、滚动监测,满足了农田土壤墒情大范围区域化评估和小范围精细化评估的要求。

关键词: 农田墒情, CLDAS土壤湿度分析产品, Python

Abstract: Farmland soil moisture was a key factor affecting agricultural production. In order to solve the problems of few monitoring points, poor monitoring timeliness and difficult regional distribution evaluation of farmland soil moisture, an operational system for the fine evaluation of farmland soil moisture in Xuzhou was established. This system was established based on the CLDAS soil moisture analysis product using Python programming language. The system was easy to operate, can realize the comprehensive, accurate, rapid and rolling monitoring of farmland soil moisture, and met the requirements of large-scale regional evaluation and small-scale fine evaluation of farmland soil moisture.

Key words: farmland soil moisture, CLDAS soil moisture analysis product, Python

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