中国农业气象 ›› 2018, Vol. 39 ›› Issue (04): 220-232.doi: 10.3969/j.issn.1000-6362.2018.04.002

• 论文 • 上一篇    下一篇

未来气候情景下黄淮海平原不同灌溉制度的产量补偿效应模拟

秦晓晨,周广胜,居辉,李翔翔,刘勤   

  1. 1.中国农业科学院农业环境与可持续发展研究所,北京 100081;2.中国气象科学研究院,北京 100081;3.江西省农业气象中心,南昌 330046
  • 收稿日期:2017-08-14 出版日期:2018-04-20 发布日期:2018-04-17
  • 作者简介:秦晓晨(1993-),女,硕士生,主要从事气候变化与农业气候资源评价研究。E-mail: qinxiaochen2017@163.com
  • 基金资助:
    国家自然科学基金(41401510)

Simulation of Different Irrigation Strategy on Wheat Yield in Huang-Huai-Hai Plain under the RCP8.5 Scenario

QIN Xiao-chen,ZHOU Guang-sheng,JU Hui,LI Xiang-xiang,LIU Qin   

  1. 1.Institute of Environment and Sustainable Development in Agriculture, Beijing 100081, China; 2.Chinese Academy of Meteorological Sciences, Beijing 100081; 3.Jiangxi Meteorological Bureau, Nanchang 330046
  • Received:2017-08-14 Online:2018-04-20 Published:2018-04-17

摘要: 利用黄淮海平原典型农业气象站点生育期和产量资料对CERES-Wheat模型遗传参数进行调试,结合HadGEM2-ES气候模式在RCP8.5(辐射强迫上升至8.5W·m?2的典型浓度目标)情景下的预估结果,模拟分析未来不同时段(近期:2010-2039年、中期:2040-2069年、远期:2070-2099年)雨养条件下冬小麦的减产率(与潜在产量相比),并比较不同灌溉制度下冬小麦减产率与雨养条件下减产率的差值即灌溉制度的产量补偿效应。结果表明,经参数调试后的CERES-Wheat模型能较为准确地模拟冬小麦生长发育过程。与潜在产量相比,雨养条件对冬小麦造成的减产率在未来近、中、远期分别为47.3%、53.5%和50.9%,黄淮海平原北部Ⅰ-Ⅳ区的潜在减产率高于区域平均水平,而南部Ⅵ区的减产率仅为7.4%(近期)、12.8%(中期)和9.7%(远期)。多种灌溉策略模拟结果表明,不同生育期灌溉对冬小麦产量的补偿效应(指减产率的减少量)差异较大,北部亚区的补偿效应高于南部亚区。拔节水的补偿效应最强,对未来不同时段冬小麦产量的补偿效应为16.3~18.6个百分点;灌浆水次之,补偿效应为5.1~6.1个百分点;而越冬水补偿效应仅为0.4~0.6个百分点。两水灌溉条件下,拔节水+灌浆水的补偿效应为23.6~25.1个百分点,能够挽回雨养损失的50%左右。因此,在未来水分亏缺加剧的背景下,应注重保障拔节期的需水,灌两水情况下重点保障拔节和灌浆阶段需水。

关键词: 冬小麦, 灌溉制度, 补偿效应, CERES-Wheat模型, 黄淮海平原

Abstract: Huang-Huai-Hai Plain (3H Plain) is widely accepted to be the largest winter wheat growing areas of China. Water shortage is comprehensively recognized as the limiting factor for winter wheat growth. In the context of global warming, precipitation and evapotranspiration during wheat growing period have experienced significant changes. Consequently, understanding the impact of different irrigation strategy on wheat yield is essential for establishing climate adaptation strategies in 3H Plain. In this paper, the phenology and yield data of six typical agro-meteorological stations representing six sub-regions were used to calibrate the CERES-Wheat crop model. Based on the calibrated model and the future climate projected by HadGEM2-ES under RCP8.5 scenario, the yield reduction rate under rain-fed conditions compared to potential yield for the short-term (2010-2039), medium-term (2040-2069) and long-term (2070-2099) were analyzed. Then the yield retrieval ability of different irrigation strategy was compared. Results showed that, compared to full-irrigated yield, rain-fed condition would decline wheat yield by 47.3%, 53.5% and 50.9% for the short-term, medium-term and long-term respectively, with the spatial distribution of higher reduction rate in sub-region Ⅰ to Ⅳ (north), and the reduction rate in sub-region Ⅵ(south) only 7.4% (short-term) ,12.8% (medium-term) and 9.7% (long-term). Comparison of different irrigation system showed there is a big difference in compensation effect (i.e. the difference of the reduction rate under rain-fed and irrigation condition) of winter wheat on different growth stage. And the compensation effect of northern sub-region was higher than that of Southern sub-region. The efficiency of irrigation on jointing stage was the highest, of which the yield retrieval ability was 16.3-18.6 percent point for different future period. The second was irrigation on grain filling stage, of which the yield retrieval ability was 5.1-6.1 percent point. While irrigation on overwintering stage could only retrieve yield by 0.4-0.6 percent point. Further analysis showed that irrigate on both jointing stage and grain filling stage could retrieve yield by 23.6-25.1 percent point. Thus, under the recognition of higher risk of water shortage in the future, securing irrigation supply for jointing stage is of first priority. And if two-times irrigation was allowed, irrigate on both jointing stage and grain filling stage could retrieve half of the yield losses.

Key words: Winter wheat, Irrigation system, Compensation effect, CERES-Wheat, Huang-Huai-Hai Plain