利用 AquaCrop 模型模拟气候变化下的小麦水足迹,加兹温平原案例研究

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES Applied Water Science Pub Date : 2024-11-25 DOI:10.1007/s13201-024-02305-0
Mojgan Ahmadi, Hadi Ramezani Etedali, Ali Salem, Mustafa Al-Mukhtar, Ahmed Elbeltagi
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引用次数: 0

摘要

模拟作物耗水量已被作为粮食安全领域的一项重要决策工具。这种工具通常用于帮助人们更好地理解如何提高用水效率,以实现最佳的水资源管理和可持续性。然而,气候变化是制约可持续发展、农业和粮食安全的最重要和最具影响力的因素之一。小麦是世界和伊朗最重要的战略产品之一。因此,本研究评估了未来气候变化对伊朗加兹温平原冬小麦产量、需水量(WR)、蒸散量(ET)和水足迹(WF)的影响。因此,将五个大气环流模型(EC-EARTH、GFDL-CM3、MPI-ESM-MR、MIROC5 和 HADGEM2-ES)的输出结果输入 LARS-WG 模型,以获得考虑三种排放情景(RCP2.6、RCP4.5 和 RCP8.5)的四个未来时期(P1:2021-2040、P2:2041-2060、P3:2061-2080、P4:2081-2100)更精细的空间气候数据。此后,预测的气候变化数据被用于粮农组织 AquaCrop 模型,以模拟小麦特性的变化。结果证明,LARS-WG 在模拟基线情景(1986-2015 年)的最高和最低气温以及降水量(P)方面具有优势。此外,结果还显示,未来小麦的粮食产量将有所下降。建模结果表明,与基准情景相比,未来时期小麦平均产量和生物量将分别增加 7.67 吨/公顷和 15.98 吨/公顷。在 2081-2100 年期间,采用 RCP8.5 的 HadGEM2-ES 模型的增幅最大。基线的平均 WR 为 127.14 毫米,预计在未来时期将有所下降。结果表明,在 2021-2040 年期间,蒸散发可能会增加。因此,经过调整的方法产生了明显优越的结果,可以帮助水资源管理者和发展规划者做出决策。
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Simulation of wheat water footprint using AquaCrop model under the climate change, case study in Qazvin plain

Simulating crop water consumption has been introduced as a valuable decision tool in food security. Such a tool is typically used to support a better understanding of how to increase water-use efficiency to satisfy optimal water management and sustainability. However, climate change is one of the most important and influential factors that restrain sustainable development, agriculture, and food security. Wheat is one of the most important and strategic products in the world and Iran. Therefore, in this study, the impacts of future climate changes on winter wheat yield, water requirement (WR), evapotranspiration (ET), and water footprint (WF) were evaluated in Qazvin Plain, Iran. As such, the outputs from five general circulation models (EC-EARTH, GFDL-CM3, MPI-ESM-MR, MIROC5, and HADGEM2-ES) were fed into the LARS-WG model to get finer spatial climate data for four future periods (P1:2021–2040, P2:2041–2060, P3:2061–2080, P4:2081–2100) considering three emission scenarios (RCP2.6, RCP4.5, and RCP8.5). Thereafter, the projected climate change data were used in the FAO AquaCrop model to simulate the variability of wheat characteristics. The results proved the superiority of LARS-WG to model the maximum and minimum temperatures and precipitation (P) of the baseline scenario (1986–2015). Moreover, results revealed that the wheat WF will decrease in future periods. The modeling results showed that the average wheat yield and biomass will increase in future periods by 7.67 and 15.98 tons/ha, respectively, as compared to the baseline. The highest increase was recorded by the HadGEM2-ES model with RCP8.5 during 2081–2100. The average WR in the baseline was 127.14 mm, which was projected to decrease in future periods. The results show that ET will potentially increase in the period 2021–2040. As a consequence, the adapted methodology produced significantly superior outcomes and can aid in decision-making for both water managers and development planners.

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来源期刊
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
期刊介绍:
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