首页|基于SWAP模型分析青铜峡灌区春小麦播期优化及其对灌溉需水量的影响

基于SWAP模型分析青铜峡灌区春小麦播期优化及其对灌溉需水量的影响

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以宁夏青铜峡灌区春小麦为研究对象,基于 2a田间观测试验和率定后的SWAP模型,构建旱作区春小麦模型参数集,以偏差校正后的 7 个大气环流模式(General Circulation Models,GCMs)数据驱动模型,评估未来不同气候情景下(SSP2-45 和 SSP5-85)春小麦产量和灌溉需水量变化,定量分析播期调整对青铜峡灌区春小麦生长和耗水过程的影响.结果表明:参数校正后的SWAP模型能有效模拟青铜峡灌区春小麦生长过程;SSP2-45 情景下未来两个时期(2021-2050 年和 2051-2080 年)青铜峡灌区多模式平均最高温度相对于历史基准期(1991-2020 年)分别增加 1.6℃和 2.6℃,两个时期SSP5-85 情景下最高温度将分别增加1.8℃和 3.6℃.在不改变播期和品种条件下,未来春小麦全生育期长度将随温度升高而缩短,最大缩短天数达 14.2d,出现在SSP5-85 情景下2051-2080 年.SSP2-45 情景下未来两个时期春小麦多模式平均产量将分别下降 9.6%和 12.9%,SSP5-85 情景下则分别下降 12.1%和 17.2%;不同情景不同时期春小麦灌溉需水量变化幅度相对较小,均不超过 3.5%;提前播种可有效减少青铜峡灌区春小麦产量损失,但不能完全抵消气候变化的负面影响,其中,SSP2-45 情景下未来两个时期分别提前 23d和 33d播种,产量损失可控制在 1.5%和 5.3%,在SSP5-85 情景下分别提前 30d和 42d播种,产量损失可分别控制在 2.9%和 5.4%.优化播种日期后,青铜峡灌区春小麦收获日期平均提前 5d 左右.未来不同情景不同时期下春小麦灌溉需水量增加明显,增加比例在 4.0%~8.0%.
Spring Wheat Sowing Date Optimization and Impact on Irrigation in Qingtongxia Irrigation Region Based on SWAP Model
The expected negative effects of global warming on crop production can be mitigated by changing the planting dates,which is both low-cost and easy to implement.The parameter set of the localized spring wheat model in the Qingtongxia irrigation region(QTXIR)was calibrated using a two-year field experiment.The changes of spring wheat yield and irrigation water requirement(IWR)under two future climate scenarios(SSP2-45 and SSP5-85)were analyzed based on 7 bias-corrected global circulation models(GCMs)and the well-tested SWAP model.Simultaneously,the yield and IWR of spring wheat in QTXIR in response to changing the sowing date were also quantitatively analyzed.The results indicate that the spring wheat growth in the QTXIR can be effectively simulated by the parameter-adjusted SWAP model.Under the SSP2-45 scenario,the multi-model average maximum temperature in the QTXIR in the next two periods(2021-2050 and 2051-2080)will increase by 1.6℃and 2.6℃respectively relative to the historical baseline period(1991-2020),while under the SSP5-85 scenario,the maximum temperature will increase by 1.8℃and 3.6℃respectively in the next two stages.The length of spring wheat growth duration will continue to shorten with the increasing temperatures in the future under current sowing date and variety,with a maximum shortening of 14.2 days occurring between 2051 and 2080 under the SSP5-85 scenario.The multi-model average yield for spring wheat will decrease by 9.6%and 12.9%for the next two periods under the SSP2-45 scenario and by 12.1%and 17.2%for the corresponding periods under the SSP5-85 scenario.At the same time,the changes in irrigation water requirements for different scenarios and periods are relatively small,not exceeding 3.5%.Sowing in advance can effectively reduce the yield loss of spring wheat in the QTXIR,but it cannot fully offset the negative effects of climate change.Under the SSP2-45 scenario,in the next two periods,sowing 23 days and 33 days in advance respectively can control the yield loss to 1.5%and 5.3%.Under the SSP5-85 scenario,when sowing 30 days and 42 days ahead,the yield losses can be controlled to 2.9%and 5.4%respectively.Under the SSP5-85 scenario,the yield loss can be controlled to 2.9%and 5.4%when sowing 30 and 42 days ahead,respectively.Under the optimized sowing date,the harvest date for spring wheat in the QTXIR will be forward by an average of 5 days.At the same time,IWR for spring wheat will increase significantly in all future scenarios and periods,with rates ranging from 4.0%to 8.0%.

CMIP6Climate changeSpring wheatAdaptionSowing date adjustment

孙风朝、赵翠平、张杰、丁一民

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山西水利职业技术学院,运城 044004

中国电建集团北京勘测设计研究院有限公司,北京 100024

宁夏大学土木与水利工程学院,银川 750021

CMIP6 气候变化 春小麦 适应性调控 播期调整

国家自然科学基金青年基金宁夏重点研发计划引才专项

522090592022BSB03060

2024

中国农业气象
中国农业科学院农业环境与可持续发展研究所

中国农业气象

CSTPCD
影响因子:1.679
ISSN:1000-6362
年,卷(期):2024.45(6)
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