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An agricultural drought index to incorporate the irrigation process and reservoir operations: A case study in the Tarim River Basin

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An agricultural drought index to incorporate the irrigation process and reservoir operations: A case study in the Tarim River Basin. / Li, Zehua; Hao, Zhenchun; Shi, Xiaogang et al.
In: Global and Planetary Change, Vol. 143, 01.08.2016, p. 10-20.

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Li Z, Hao Z, Shi X, Déry SJ, Li J, Chen S et al. An agricultural drought index to incorporate the irrigation process and reservoir operations: A case study in the Tarim River Basin. Global and Planetary Change. 2016 Aug 1;143:10-20. Epub 2016 May 25. doi: 10.1016/j.gloplacha.2016.05.008

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@article{e0c7cdf069b3470eb93596d87a5d1691,
title = "An agricultural drought index to incorporate the irrigation process and reservoir operations: A case study in the Tarim River Basin",
abstract = "To help the decision making process and reduce climate change impacts, hydrologically-based drought indices have been used to determine drought severity in the Tarim River Basin (TRB) over the past decades. As the major components of the surface water balance, however, the irrigation process and reservoir operations have not been incorporated into drought indices in previous studies. Therefore, efforts are needed to develop a new agricultural drought index, which is based on the Variable Infiltration Capacity (VIC) model coupled with an irrigation scheme and a reservoir module. The new drought index was derived from the simulated soil moisture data from a retrospective VIC simulation from 1961 to 2007 over the irrigated area in the TRB. The physical processes in the coupled VIC model allow the new agricultural drought index to take into account a wide range of hydrologic processes including the irrigation process and reservoir operations. Notably, the irrigation process was found to dominate the surface water balance and drought evolution in the TRB. Furthermore, the drought conditions identified by the new agricultural drought index presented a good agreement with the historical drought events that occurred in 1993–94, 2004, and 2006–07, respectively. Moreover, the spatial distribution of coupled VIC model outputs using the new drought index provided detailed information about where and to what extent droughts occurred.",
keywords = "Agricultural drought index, Tarim River Basin, Irrigation process, Reservoir operation, Soil moisture, Hydrologic model",
author = "Zehua Li and Zhenchun Hao and Xiaogang Shi and D{\'e}ry, {Stephen J.} and Jieyou Li and Sichun Chen and Yongkun Li",
year = "2016",
month = aug,
day = "1",
doi = "10.1016/j.gloplacha.2016.05.008",
language = "English",
volume = "143",
pages = "10--20",
journal = "Global and Planetary Change",
issn = "0921-8181",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - An agricultural drought index to incorporate the irrigation process and reservoir operations

T2 - A case study in the Tarim River Basin

AU - Li, Zehua

AU - Hao, Zhenchun

AU - Shi, Xiaogang

AU - Déry, Stephen J.

AU - Li, Jieyou

AU - Chen, Sichun

AU - Li, Yongkun

PY - 2016/8/1

Y1 - 2016/8/1

N2 - To help the decision making process and reduce climate change impacts, hydrologically-based drought indices have been used to determine drought severity in the Tarim River Basin (TRB) over the past decades. As the major components of the surface water balance, however, the irrigation process and reservoir operations have not been incorporated into drought indices in previous studies. Therefore, efforts are needed to develop a new agricultural drought index, which is based on the Variable Infiltration Capacity (VIC) model coupled with an irrigation scheme and a reservoir module. The new drought index was derived from the simulated soil moisture data from a retrospective VIC simulation from 1961 to 2007 over the irrigated area in the TRB. The physical processes in the coupled VIC model allow the new agricultural drought index to take into account a wide range of hydrologic processes including the irrigation process and reservoir operations. Notably, the irrigation process was found to dominate the surface water balance and drought evolution in the TRB. Furthermore, the drought conditions identified by the new agricultural drought index presented a good agreement with the historical drought events that occurred in 1993–94, 2004, and 2006–07, respectively. Moreover, the spatial distribution of coupled VIC model outputs using the new drought index provided detailed information about where and to what extent droughts occurred.

AB - To help the decision making process and reduce climate change impacts, hydrologically-based drought indices have been used to determine drought severity in the Tarim River Basin (TRB) over the past decades. As the major components of the surface water balance, however, the irrigation process and reservoir operations have not been incorporated into drought indices in previous studies. Therefore, efforts are needed to develop a new agricultural drought index, which is based on the Variable Infiltration Capacity (VIC) model coupled with an irrigation scheme and a reservoir module. The new drought index was derived from the simulated soil moisture data from a retrospective VIC simulation from 1961 to 2007 over the irrigated area in the TRB. The physical processes in the coupled VIC model allow the new agricultural drought index to take into account a wide range of hydrologic processes including the irrigation process and reservoir operations. Notably, the irrigation process was found to dominate the surface water balance and drought evolution in the TRB. Furthermore, the drought conditions identified by the new agricultural drought index presented a good agreement with the historical drought events that occurred in 1993–94, 2004, and 2006–07, respectively. Moreover, the spatial distribution of coupled VIC model outputs using the new drought index provided detailed information about where and to what extent droughts occurred.

KW - Agricultural drought index

KW - Tarim River Basin

KW - Irrigation process

KW - Reservoir operation

KW - Soil moisture

KW - Hydrologic model

U2 - 10.1016/j.gloplacha.2016.05.008

DO - 10.1016/j.gloplacha.2016.05.008

M3 - Journal article

VL - 143

SP - 10

EP - 20

JO - Global and Planetary Change

JF - Global and Planetary Change

SN - 0921-8181

ER -