土壤相对湿度在东北地区农业干旱监测中的适用性分析

发布时间：2018-02-26 12:44

本文关键词： 农业干旱土壤相对湿度标准化植被指数作物产量　出处：《地理研究》2017年05期 　论文类型：期刊论文

【摘要】：分析土壤相对湿度(RSM)与标准化植被指数(SVI)、站点农气灾情数据及产量数据的关系,探究土壤相对湿度对东北地区农业干旱的监测能力。结果表明:(1)土壤相对湿度与SVI有较好的相关关系,76%的站点能够通过0.05的检验;水分胁迫下,作物生长状态对土壤湿度的滞后时间为10天。(2)土壤相对湿度低于60时,超过58%的作物生长状态受到影响;土壤相对湿度低于35时,超过92%的作物生长状态受到影响。(3)土壤相对湿度对农气灾情数据记录的不同等级干旱的正确检测概率都超过了50%。(4)7月上旬土壤相对湿度和产量的相关关系最好。土壤相对湿度在东北地区农业干旱监测中具有较好的适用性,本文可为农业干旱监测提供理论支持。
[Abstract]:The relationship between soil relative humidity (RSM) and standardized vegetation index (SVI), agricultural gas disaster data and yield data was analyzed. To explore the ability of soil relative humidity to monitor agricultural drought in Northeast China. The results showed that there was a good correlation between soil relative humidity and SVI. The results showed that 76% of the sites could pass the test of 0. 05 under water stress. The lag time of crop growth state to soil moisture is 10 days. 2) when the soil relative humidity is less than 60, the crop growth state of more than 58% is affected, and the soil relative humidity is lower than 35. In early July, the correlation between soil relative humidity and yield was the best. The probability of correct detection of soil relative humidity for different grades of drought recorded by agricultural gas disaster data was higher than 50. 4) in early July, the correlation between soil relative humidity and yield was the best. Soil relative humidity is suitable for agricultural drought monitoring in Northeast China. This paper can provide theoretical support for agricultural drought monitoring.
【作者单位】：北京师范大学民政部/教育部减灾与应急管理研究院;北京师范大学地表过程与资源生态国家重点实验室;北京师范大学环境演变与自然灾害教育部重点实验室;
【基金】：国家国际科技合作专项(2013DFG21010) 中央高校基本科研业务费专项资金和教育部创新团队资助项目(IRT1108)
【分类号】：S152.71;S423

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