Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China
This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The adaptation measures include optimization of cropping...
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sg-ntu-dr.10356-1545962021-12-29T01:47:54Z Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China Dai, Chaoyan Qin, Xiaosheng Lu, Wutao Huang, Y. School of Civil and Environmental Engineering Engineering::Civil engineering Climate Change Ensemble GCM This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The adaptation measures include optimization of cropping pattern (OCP) and upgradation of irrigation techniques (UIT). The delta change method was used to downscale the climate variables from RCP4.5 and RCP8.5 of general circulation models (GCMs) during 2021-2050, the water footprint theory was used to estimate the spatial distribution of blue water to calculate the WP, and the nonlinear optimization model was used to seek optimal cropping pattern aiming at maximizing the system's WP. The changes in WP due to climate change and adaptation measures (e.g. combinations of OCP and UIT) were compared. Results indicated that WP under RCP4.5 and RCP8.5 would be 4.56% and 6.51% lower than those under the benchmark scenario, respectively. The mitigation rates to the negative impact of climate change on WP under RCP4.5 and RCP8.5 would be (1) 3.05% and 3.37% for the combination of spay irrigation technique and OCP, and (2) 4.34% and 4.59% for the combination of drip irrigation technique and OCP, respectively. It was revealed that the combination of drip irrigation and cropping pattern optimization could largely offset the adverse effect from climate change on WP under RCP4.5. Under such a scenario, the total plant areas of wheat and maize would reduce over the basin and so would the net export of crops in the basin; this would lead to a decrease in the crop trade benefit of 7.07 × 109 $ and a relief of 7.50 × 109 m3 of blue water loss. This study results could offer strategic decision support for long-term sustainable AWM of Huai river basin in a changing environment. Ministry of Education (MOE) Nanyang Technological University This project was supported by Research Grant (M4082254.030) from School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, and in part by Singapore Ministry of Education (MOE) AcRF Tier 1 Grant (M4012228.030). 2021-12-29T01:47:54Z 2021-12-29T01:47:54Z 2020 Journal Article Dai, C., Qin, X., Lu, W. & Huang, Y. (2020). Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China. Science of the Total Environment, 721, 137777-. https://dx.doi.org/10.1016/j.scitotenv.2020.137777 0048-9697 https://hdl.handle.net/10356/154596 10.1016/j.scitotenv.2020.137777 32179351 2-s2.0-85081128036 721 137777 en M4082254.030 M4012228.030 Science of the Total Environment © 2020 Elsevier B.V. All rights reserved. |
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Engineering::Civil engineering Climate Change Ensemble GCM Dai, Chaoyan Qin, Xiaosheng Lu, Wutao Huang, Y. Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
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This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The adaptation measures include optimization of cropping pattern (OCP) and upgradation of irrigation techniques (UIT). The delta change method was used to downscale the climate variables from RCP4.5 and RCP8.5 of general circulation models (GCMs) during 2021-2050, the water footprint theory was used to estimate the spatial distribution of blue water to calculate the WP, and the nonlinear optimization model was used to seek optimal cropping pattern aiming at maximizing the system's WP. The changes in WP due to climate change and adaptation measures (e.g. combinations of OCP and UIT) were compared. Results indicated that WP under RCP4.5 and RCP8.5 would be 4.56% and 6.51% lower than those under the benchmark scenario, respectively. The mitigation rates to the negative impact of climate change on WP under RCP4.5 and RCP8.5 would be (1) 3.05% and 3.37% for the combination of spay irrigation technique and OCP, and (2) 4.34% and 4.59% for the combination of drip irrigation technique and OCP, respectively. It was revealed that the combination of drip irrigation and cropping pattern optimization could largely offset the adverse effect from climate change on WP under RCP4.5. Under such a scenario, the total plant areas of wheat and maize would reduce over the basin and so would the net export of crops in the basin; this would lead to a decrease in the crop trade benefit of 7.07 × 109 $ and a relief of 7.50 × 109 m3 of blue water loss. This study results could offer strategic decision support for long-term sustainable AWM of Huai river basin in a changing environment. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Dai, Chaoyan Qin, Xiaosheng Lu, Wutao Huang, Y. |
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Article |
author |
Dai, Chaoyan Qin, Xiaosheng Lu, Wutao Huang, Y. |
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Dai, Chaoyan |
title |
Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
title_short |
Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
title_full |
Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
title_fullStr |
Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
title_full_unstemmed |
Assessing adaptation measures on agricultural water productivity under climate change : a case study of Huai River Basin, China |
title_sort |
assessing adaptation measures on agricultural water productivity under climate change : a case study of huai river basin, china |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/154596 |
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1722355327143247872 |