Crop Drought Identification Index for winter wheat based on evapotranspiration in the Huang-Huai-Hai Plain, China
Crop Drought Identification Index for winter wheat based on evapotranspiration in the Huang-Huai-Hai Plain, China
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基于蒸散量的黄淮海平原冬小麦作物干旱识别指数
DOI：
10.1016/j.agee.2018.05.001
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发表时间：
2018-08
影响因子：
6.6
通讯作者：
Yang Jianying
中科院分区：
文献类型：
--
作者：
Wu Xia;Wang Peijuan;Huo Zhiguo;Wu Dingrong;Yang Jianying
干旱事件的频繁发生会导致冬小麦干旱灾害。为预防干旱灾害，减少潜在损失，建立冬小麦干旱指数，为冬小麦干旱监测、预防和缓解提供支持，并进一步准确了解冬小麦干旱的时空特征。本研究将黄淮海平原冬小麦的气象因子、遥感产品、灾害记录和物候相结合，建立了冬小麦干旱灾害作物干旱识别指数。CDII表示为标准条件下的实际蒸散发（ETa）与作物蒸散发（ETc）之比，其中，CDII通过两源能量平衡（TSEB）模型模拟，detc基于Penman-Monteith方法，利用日气象资料和MODIS遥感产品计算。建立冬小麦不同发育阶段的干旱样本序列，根据Lilliefors拟合优度检验和95%置信区间上阈值确定阈值，形成冬小麦不同发育阶段的CDII。验证结果表明，CDII鉴定结果与86.2%的干旱记录相对应。绘制了黄淮海平原冬小麦干旱特征的空间分布图。越冬前期、回绿拔节期和抽穗期的CDII阈值高于其他两个发育阶段。整个黄淮海平原在冬小麦越冬前期和返青拔节期干旱频次较高。干旱频率较高的地区集中在黄淮海平原北部抽穗期和鲁中西部乳熟生理成熟期。以2006-2007年生长季和2000 - 2013年抽穗期的干旱分布为例，结果表明，CDII能够较为合理地识别冬小麦的实际干旱情况。研究结果表明，CDII在区域尺度上对冬小麦干旱灾害进行监测和评估是有用的。为作物干旱分析提供了一种新的方法。
Frequent occurrences of drought events can lead to winter wheat drought disasters. To prevent drought damage and reduce potential losses, it is important to establish an index to provide support for winter wheat drought monitoring, prevention, and mitigation, and further to understand the precise spatiotemporal characteristics of winter wheat droughts. In this study, meteorological factors, remote sensing products, disaster records, and phenophases of winter wheat in the Huang-Huai-Hai Plain were integrated to establish a Crop Drought Identification Index for winter wheat drought disasters. The CDII was expressed as the ratio of actual evapotranspiration (ETa) and crop evapotranspiration under standard conditions (ETc), in whichETawas simulated through the Two Source Energy Balance (TSEB) model andETcwas calculated based on the Penman-Monteith method using daily meteorological data and MODIS remotely sensed products. The CDII for winter wheat at different developmental stages was formed by establishing the drought sample sequences and determining the thresholds based on a Lilliefors goodness-of-fit test and the upper threshold of a 95% confidence interval. Validation showed that the identification results by CDII corresponded with 86.2% drought records. The spatial distributions of drought characteristics for winter wheat in the Huang-Huai-Hai Plain were mapped. The thresholds of the CDII at the before wintering stage, returning green–jointing stage, and heading stage were higher than that at the other two developmental stages. Drought frequency was higher across the whole Huang-Huai-Hai Plain at the before wintering stage and returning green–jointing stage of winter wheat. The regions with higher drought frequency were concentrated in the northern part of the Huang-Huai-Hai Plain at the heading stage and in the mid-western Shandong Province at the milky ripening–physiological maturity stage. This study took the drought distribution in the 2006–2007 growing season and heading stages from 2000 to 2013 as examples, the results indicated that the CDII could identify the actual drought of winter wheat reasonably. The findings indicate the CDII is useful for monitoring and assessing winter wheat drought disasters at a regional scale. It can also provide a new method for crop drought analysis.
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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作者：
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