Author:
Xing Zikang,Ma Miaomiao,Wei Yongqiang,Zhang Xuejun,Yu Zhongbo,Yi Peng
Abstract
AbstractAgricultural drought has a tremendous impact on crop yields and economic development under the context of global climate change. As an essential component of water balance in irrigated areas, artificial irrigation, which is not widely incorporated into agricultural drought indices in previous studies. Therefore, an irrigation water deficit index (IWDI) based on the estimation of irrigation water demand and supply is proposed. The performance of the new index was compared with the Soil Moisture Anomaly Percentage Index (SMAPI) over the upstream of the Zi River basin (UZRB). The results indicated the IWDI is highly correlated with precipitation, runoff, and potential evapotranspiration, combined with a more comprehensive moisture condition than the previous agricultural drought index. Due to the consideration of crop growth process and farmland spatial distribution, the proposed index showed a significant advantage in stressing drought conditions of agricultural concentration area and eliminating the impact of invalid soil moisture drought of non-growing seasons. Furthermore, the drought condition identified by the new index presented a good agreement with the historical drought event that occurred in 2013.7–8, which accurately reproduced the soil moisture variation and vegetation growth dynamics.
Funder
Hydraulic science and technology in Hunan Province
National Key R&D Program of China
National Natural Science Foundation of China
IWHR Research & Development Support Program
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Reference46 articles.
1. Allen RG, Pereira LS, Raes D, et al (1998) Crop evapotranspiration—guidelines for computing crop water requirements—FAO irrigation and drainage paper 56. Irrig Drain Pap No 56, FAO 300. https://doi.org/10.1016/j.eja.2010.12.001
2. Bergman KH, Sabol P, Miskus D (1988) Experimental indices for monitoring global drought conditions. In: Proceedings of 13th annual climate diagnostics workshop. Department of Commerce, Cambridge, MA, pp 190–197
3. Brunini O, Dias Da Silva PL, Grimm, AM et al (2005) Agricultural drought phenomena in Latin America with focus on Brazil. In: Boken VK, Cracknell AP, Heathcote RL (eds) Monitoring and predicting agricultural drought. Oxford University Press, oxford, pp 156–168.
4. Cheng Q, Gao L, Chen Y et al (2018) Temporal-spatial characteristics of drought in Guizhou Province, China, based on multiple drought indices and historical disaster records. Adv Meteorol. https://doi.org/10.1155/2018/4721269
5. Cheng Q, Gao L, Zhong F et al (2020) Spatiotemporal variations of drought in the Yunnan-Guizhou Plateau, southwest China, during 1960–2013 and their association with large-scale circulations and historical records. Ecol Indic 112:106041. https://doi.org/10.1016/j.ecolind.2019.106041
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