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Assessment of climate change impact on yield of major crops in the Banas River Basin, India

机译:评估气候变化对印度巴纳斯河流域主要农作物产量的影响

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摘要

Crop growth models like AquaCrop are useful in understanding the impact of climate change on crop production considering the various projections from global circulation models and regional climate models. The present study aims to assess the climate change impact on yield of major crops in the Banas River Basin i.e., wheat, barley and maize. Banas basin is part of the semi-arid region of Rajasthan state in India. AquaCrop model is used to calculate the yield of all the three crops for a historical period of 30years (1981–2010) and then compared with observed yield data. Root Mean Square Error (RMSE) values are calculated to assess the model accuracy in prediction of yield. Further, the calibrated model is used to predict the possible impacts of climate change and CO2concentration on crop yield using CORDEX-SA climate projections of three driving climate models (CNRM-CM5, CCSM4 and MPI-ESM-LR) for two different scenarios (RCP4.5 and RCP8.5) for the future period 2021–2050. RMSE values of simulated yield with respect to observed yield of wheat, barley and maize are 11.99, 16.15 and 19.13, respectively. It is predicted that crop yield of all three crops will increase under the climate change conditions for future period (2021–2050).
机译:考虑到全球环流模型和区域气候模型的各种预测,像AquaCrop这样的作物生长模型对于理解气候变化对作物生产的影响很有用。本研究旨在评估气候变化对香蕉河流域主要作物(即小麦,大麦和玉米)产量的影响。巴纳斯盆地是印度拉贾斯坦邦半干旱地区的一部分。使用AquaCrop模型计算历史30年(1981-2010年)中所有三种作物的产量,然后将其与观察到的产量数据进行比较。计算均方根误差(RMSE)值,以评估模型在预测产量时的准确性。此外,针对两种不同情况(RCP4),使用三种驱动气候模型(CNRM-CM5,CCSM4和MPI-ESM-LR)的CORDEX-SA气候预测,使用校准的模型来预测气候变化和CO2浓度对作物产量的可能影响。 .5和RCP8.5)。相对于观察到的小麦,大麦和玉米产量,模拟产量的RMSE值分别为11.99、16.15和19.13。预计在未来(2021年至2050年)的气候变化条件下,所有三种作物的作物产量都会增加。

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