文献类型：期刊文献

中文题名：冬小麦旱情监测中土壤水分估算模型的互补性——以河北省为例

英文题名：COMPLEMENTARITY OF SOIL MOISTURE ESTIMATION MODELS FOR DROUGHT MONITORING OF WINTER WHEAT: A CASE STUDY OF HEBEI

作者：闫峰[1,2] 王艳娇[3]

第一作者：闫峰

机构：[1]中国林业科学研究院林业研究所;[2]中国林业科学研究院荒漠化研究所;[3]中国气象局国家气候中心

年份：2009

期号：6

起止页码：998-1005

中文期刊名：土壤学报

外文期刊名：Acta Pedologica Sinica

收录：CSTPCD;;Scopus;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金项目(40801173);中国博士后科学基金项目(20070420308)资助

语种：中文

中文关键词：冬小麦;土壤水分;模型;互补性;河北

外文关键词：Winter wheat ; Soil moisture ; Model; Complementarity ; Hebei

分类号：S152.7

摘要：旱灾是影响我国农业最大的气象灾害。频发的冬春旱尤其是春旱恰逢冬小麦生长的关键阶段，对我国的冬小麦生产造成了严重影响，利用遥感技术实现冬小麦旱情监测成为当前农业旱情管理的一个重要发展方向。采用2005年EOS／MODIS数据产品，对春季不同时段内河北省旱情监测遥感信息模型的互补性进行了研究，得出以下结论：（1）在冬小麦生长的不同时期，ATI模型与TVDI模型之间具有较好的互补性，3月冬小麦旱情遥感监测应选取ATI遥感信息模型；（2）4月～5月表层土壤的RSM-TVDI、RSM—ATI的拟合方程均通过了置信度α=0．001水平的t检验且相关性较好，TVDI和ATI均可以用来估算4月～5月土壤表层土壤水分；（3）4月～5月RSM—TVDI、RSM—ATI的相关性与误差分析结果表明：4月上旬和4月中旬可选择ATI模型或TVDI模型进行冬小麦旱情遥感监测，但以4月上旬选择ATI模型、4月中旬选择TVDI模型为佳，4月下旬～5月下旬TVDI模型是比较合适的冬小麦旱情遥感监测模型。
Drought is the major climate disaster affecting agricultural production in China. The drought, frequently occurring in winter/spring, especially in spring, often brings about serious adverse impact on winter wheat production. Using remote sensing technology to monitor drought during the winter wheat growing season is an important development trend in management of agricultural drought. Based on the 2005 EOS/MODIS data available from NASA, a study was conducted on complementarily of remote-sensing-databased drought monitoring models for different periods of spring in Hebei Province. Results show that （ 1 ） better complementarily existed between apparent thermal inertia （ATI） model and temperature vegetation drought index （TVDI） model during winter wheat＇s growing period. ATI model should be used to monitor drought in March ; （2） for estimation of relative soil moisture （RSM） in surface soil in April-May, both TVDI and ATI can be used for both RSM-TVDI fitted equation and RSM-ATI fitted equation passed the t-check （ α = 0. 001 ） , showing better correlations. TVDI and ATI could be used to estimate surface soil moisture from April to May; and （3） based on correlation analysis and error analysis of equations of RSM-T.VDI and RSM-ATI for April and May, ATI model is the best choice for early April, and TVDI model for mid-April. And for the period from late April to late May, the TVDI model is more suitable.