期刊文献+

半干旱区沙丘、草甸作物系数模拟及蒸散发估算 被引量:12

Crop coefficient simulation and evapotranspiration estimation of dune and meadow in a semiarid area
原文传递
导出
摘要 作物系数(Kc)对提高实际蒸散量的估算精度及区域水资源调控具有重要意义。通过Landsat 8数据计算归一化植被指数(NDVI)、土壤调整植被指数(SAVI)和简单比值植被指数(SR),结合2017年地面实测土壤含水量(SM)和叶面积指数(LAI),通过逐步回归分析建立科尔沁地区草甸及沙丘试验区的作物系数估算模型,利用2018年模拟作物系数值与FAO 56 P-M模型计算所得潜在蒸散量(ET0)相乘,得到实际蒸散量(ETa)的估算值,与涡度相关系统所测实际蒸散量进行对比验证。结果表明:(1)草甸和沙丘试验区的作物系数在生长季内的变化趋势与植被指数及SM具有一致性,说明了基于这些指标建立Kc估算模型的可行性;(2)相关性分析中,草甸试验区的Kc与SR相关性不显著(P>0.05),沙丘试验区Kc与SR相关性较低(0.46),故剔除该因子;(3)逐步回归分析中进一步剔除不显著因子后建立草甸及沙丘作物系数估算模型,模型的均方根误差、修正的决定系数分别为0.06、0.84和0.12、0.71;(4)经涡度相关数据验证,基于Kc估算模型计算的ETa在草甸和沙丘试验区均取得较好的模拟效果。 The crop coefficient is of great significance for improving the estimation accuracy of the actual evapotranspiration and the regulation of regional water resources.In this paper,based on the Landsat 8 data extraction,we use three vegetation indices,normalized difference vegetation index(NDVI),soil adjusted vegetation index(SAVI),and simple ratio vegetation index(SR),combined with the ground measured soil moisture(SM)and the leaf area index(LAI)data in 2017.We then use the stepwise regression analysis to establish a crop coefficient Kc estimation model for the meadow and dune experimental area in the Horqin area.The simulated evapotranspiration(ETa)is obtained by multiplying the simulated Kc value and the potential evapotranspiration(ET0)calculated by the FAO 56 PM model in 2018.The accuracy of the Kc estimation model was verified by comparing it with the actual evapotranspiration(ETa)measured by the eddy covariance system.The results showed that the variation trend of Kc in the meadow and dune experimental area during the growing season was consistent with VIs and SM,indicating that it was feasible to establish a Kc estimation model based on these indicators.In correlation analysis,the correlation between Kc and SR in the meadow experimental area was not significant,whereas the correlation between Kc and SR in the dune experimental area was low.In the stepwise regression analysis,the insignificant factors were further removed,and the crop coefficient estimation model of meadow and dune was established;Radj2 was 0.84 and 0.71.The ETacalculated on the basis of the Kc estimation model achieved good simulation results both in the meadow and dune experimental areas.
作者 李霞 刘廷玺 段利民 童新 王冠丽 LI Xia;LIU Ting-xi;DUAN Li-min;TONG Xin;WANG Guan-li(Water Conservancy and Civil Engineering College,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China;Inner Mongolia Key Laboratory of Water Resource Protection and Utilization,Hohhot 010018,Inner Mongolia,China)
出处 《干旱区研究》 CSCD 北大核心 2020年第5期1246-1255,共10页 Arid Zone Research
基金 国家自然科学基金重点国际合作研究与重点、地区项目(51620105003,51139002,51769020,51369016) 教育部创新团队发展计划(IRT_17R60) 科技部重点领域科技创新团队(2015RA4013) 内蒙古自治区草原英才产业创新创业人才团队 内蒙古农业大学寒旱区水资源利用创新团队(NDTD2010-6) 内蒙古自治区高等学校“青年科技英才支持计划”项目(NJYT-18-B11)资助
关键词 科尔沁沙地 蒸散量 遥感 作物系数 植被指数 涡度 Horqin sandy land evapotranspiration remote sensing crop coefficient vegetation index vorticity
  • 相关文献

参考文献22

二级参考文献429

共引文献471

同被引文献227

引证文献12

二级引证文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部