| 1984—2020年辽宁省极端气温时空变化及粮食产量响应研究 |
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| 引用本文： | 高雁鹏,陈文俊.1984—2020年辽宁省极端气温时空变化及粮食产量响应研究[J].地理科学,2021,41(11):2052-2062. |
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| 作者姓名： | 高雁鹏 陈文俊 |
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| 作者单位： | 东北大学江河建筑学院，辽宁 沈阳 110169 |
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| 基金项目： | 国家自然科学基金项目(41871162) |
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| 摘 要： | 通过选取极端气温指数对1984—2020年辽宁省极端气温时空变化进行分析，结果表明：① 近37 a极端气温指数的时间变化具有一致性，表现为暖指数（年极端高温、暖昼日数、暖夜日数）上升和冷指数（年极端低温、冷昼日数、冷夜日数）下降。受城市化进程影响，突变主要集中在1995—2005年。② 极端气温指数具有空间差异性，具体表现在城镇化水平高的城市极端气温差值变化较小，沿海地区相对指数变化幅度相对较小。③ 结合辽宁省粮食与气象灾害数据，得出1984—2020年粮食实际产量与趋势产量呈波动上升变化。相对产量与气象产量波动趋势一致，近37 a气候丰年10个、气候歉年7个，其他为正常年份。气象产量受极端高温、极端低温的影响较大，风雹、冷冻成为影响粮食产量的关键气象灾害。
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| 关 键 词： | 极端气温 粮食产量 气象产量 气候变化 |
| 收稿时间： | 2021-03-13 |
| 修稿时间： | 2021-05-19 |
Spatial and Temporal Variation of Extreme Temperature and Grain Yield Response in Liaoning Province from 1984 to 2020 |
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| Gao Yanpeng,Chen Wenjun.Spatial and Temporal Variation of Extreme Temperature and Grain Yield Response in Liaoning Province from 1984 to 2020[J].Scientia Geographica Sinica,2021,41(11):2052-2062. |
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| Authors: | Gao Yanpeng Chen Wenjun |
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| Institution: | Jiangho School of Architecture, Northeastern University, Shenyang 110169, Liaoning, China |
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| Abstract: | The article selects the extreme temperature index to analyze the spatial and temporal changes of extreme temperature in Liaoning Province from 1984 to 2020. It is concluded that the temporal variation of the extreme temperature index is consistent in the past 37 years. This is reflected in an increase in the warmth index (TXx, TX90p and TX10p) and a decrease in the coldness index (TNn, TN90p and TN10p). The abrupt changes are mainly concentrated in 1995-2005 and are due to the urbanization process. Regional extreme temperature indices have spatial differences. This is reflected by the small variation of extreme temperature differences in cities with high urbanization and the relatively small variation of relative indices in coastal areas. Combining grain data and natural disaster data from Liaoning Province, it is found that actual and trend grain yields generally show a fluctuating upward trend. The trend of relative yields was consistent with meteorological yield. In the last 37 years, there were 10 good years and 7 bad years, and the rest were normal years. Meteorological yield is greatly affected by extreme high temperature and extreme low temperature. Hail and freezing have become key meteorological disasters affecting grain production. |
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| Keywords: | extreme temperature grain yield meteorological yield climate change |
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