基于天气预报的风险灌溉对水稻生长的影响与知识图谱实现  

Effect of Risk Irrigation on Rice Growth Based on Weather Forecast and Realization of Knowledge Map

作　　者：李攀[1,4] 吴天傲 孙文渊 吴秋明 顾哲 缴锡云 LI Pan;WU Tian-ao;SUN Wen-yuan;WU Qiu-ming;GU Zhe;JIAO Xi-yun(College of Agricultural Science and Engineering,Hohai University,Nanjing 211100,Jiangsu Province,China;Cooperative Innovation Center for Water Safety and Hydro Science,Hohai University,Nanjing 210098,Jiangsu Province,China;The National Key Laboratory of Water Disaster Prevention,Nanjing 210098,Jiangsu Province,China;Bureau of hydrology of Yellow River water conservancy commission,Zhengzhou 450003,Henan Province,China;Changshu Water Conservancy Project Quality Supervision Station,Suzhou 215500,Jiangsu Province,China;Nanjing Zhishui Agricultural Technology Academy,Nanjing 210046,Jiangsu Province,China)

机构地区：[1]河海大学农业科学与工程学院,江苏南京211100 [2]河海大学水安全与水科学协同创新中心,江苏南京210098 [3]水灾害防御全国重点实验室,江苏南京210098 [4]黄委水文局水文水资源科学研究院,河南郑州450003 [5]常熟市水利工程质量监督站,江苏苏州215500 [6]南京智水农业科技研究院有限公司,江苏南京210046

出　　处：《节水灌溉》2025年第4期8-15,共8页Water Saving Irrigation

基　　金：江苏省重点研发计划项目(BE2022390)。

摘　　要：为探究基于公共天气预报的风险灌溉对水稻生长的影响及相应的节水潜力,探索水稻风险灌溉知识图谱实现方法以服务于智慧灌溉决策。研究开展了基于天气预报的风险灌溉策略下的水稻测坑试验,探讨了基于“浅水勤灌”的常规灌溉和两种风险灌溉策略(低风险和高风险)对水稻耗水特性、产量效果及水分生产率的影响,并利用Neo4j图数据库构建了灌溉决策知识图谱。结果表明:与常规灌溉相比,低风险和高风险灌溉策略分别节约了50.40 mm和84.35 mm的灌水量,田间节水率分别为16.05%和26.86%,减产率分别为0.88%和1.19%,有效提高了水分利用效率;构建的灌溉决策知识图谱能够辅助管理人员进行有效地检索和灌溉策略查询,为实现田间水分的智慧管理奠定了基础。研究结果可为水稻节水灌溉和智能化灌溉系统的开发提供新思路和新技术。To investigate the effect of risk irrigation based on public weather forecasts on rice growth and the corresponding water-saving potential,and the implementation method of rice risk irrigation knowledge graph to serve intelligent irrigation decisions at the same time.Rice experiments based on risk irrigation decisions were conducted to compare the effects of conventional irrigation and two risk irrigation strategies (low and high risk) on water consumption, yield, and water productivity of rice. A knowledge graph for irrigation decisions wasconstructed using the Neo4j graph database. The results indicate that, compared to conventional irrigation, low-risk and high-risk irrigationdecisions saved 50.40 mm and 84.35 mm of irrigation water, respectively, with field water-saving rates of 16.05% and 26.86%, and yieldreductions of 0.88% and 1.19%, respectively. The irrigation decision knowledge graph can assist managers in effective query retrieval andirrigation decision-making, laying a foundation for intelligent field moisture management. The study provides new ideas and feasibletechnologies for the development of water-saving irrigation and intelligent irrigation systems, which is significant for water resourcesconservation and sustainable development.

关 键 词：水稻 风险灌溉 天气预报 灌溉决策 Neo4j 知识图谱 

分 类 号：S27[农业科学—农业水土工程]