吉林省1961—2020年玉米生长季旱涝时空特征研究
S162; [目的]识别吉林省玉米生长季内不同生育期的旱涝时空演变特征.[方法]利用吉林省27个气象站1961—2020年逐日气象数据,在基于分段函数估算逐日作物系数(Kc)的基础上,计算各站点逐日改进型作物水分亏缺指数(mCWDI),然后利用气候倾向率和重心转移等方法对吉林省玉米生长季旱涝时空演变规律进行分析.[结果]吉林省玉米干旱频率呈现由西北向东南依次递减的变化趋势,玉米生育初期至发育期的干旱频率呈减少趋势,而生育中后期干旱呈增强趋势,东南地区雨涝频率在玉米生育前期和后期较高,在玉米发育期较低.同时,吉林省中部地区玉米雨涝频率增速高于其他地区.[结论]吉林省玉米生育初期至发育期的干旱频率...
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| Published in | Guanʻgai paishui xuebao Vol. 41; no. 11; pp. 85 - 106 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Xinxiang City
Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
01.11.2022
内蒙古自治区蒙古高原灾害与生态安全重点实验室,呼和浩特 010022%辽宁工业大学化学与环境工程学院,辽宁锦州 121000%内蒙古师范大学地理科学学院,呼和浩特 010022 内蒙古师范大学地理科学学院,呼和浩特 010022 |
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| Online Access | Get full text |
| ISSN | 1672-3317 |
| DOI | 10.13522/j.cnki.ggps.2022071 |
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| Abstract | S162; [目的]识别吉林省玉米生长季内不同生育期的旱涝时空演变特征.[方法]利用吉林省27个气象站1961—2020年逐日气象数据,在基于分段函数估算逐日作物系数(Kc)的基础上,计算各站点逐日改进型作物水分亏缺指数(mCWDI),然后利用气候倾向率和重心转移等方法对吉林省玉米生长季旱涝时空演变规律进行分析.[结果]吉林省玉米干旱频率呈现由西北向东南依次递减的变化趋势,玉米生育初期至发育期的干旱频率呈减少趋势,而生育中后期干旱呈增强趋势,东南地区雨涝频率在玉米生育前期和后期较高,在玉米发育期较低.同时,吉林省中部地区玉米雨涝频率增速高于其他地区.[结论]吉林省玉米生育初期至发育期的干旱频率呈减少趋势,而玉米生育中后期呈增强趋势,中部地区雨涝频率增速高于其他地区. |
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| AbstractList | S162; [目的]识别吉林省玉米生长季内不同生育期的旱涝时空演变特征.[方法]利用吉林省27个气象站1961—2020年逐日气象数据,在基于分段函数估算逐日作物系数(Kc)的基础上,计算各站点逐日改进型作物水分亏缺指数(mCWDI),然后利用气候倾向率和重心转移等方法对吉林省玉米生长季旱涝时空演变规律进行分析.[结果]吉林省玉米干旱频率呈现由西北向东南依次递减的变化趋势,玉米生育初期至发育期的干旱频率呈减少趋势,而生育中后期干旱呈增强趋势,东南地区雨涝频率在玉米生育前期和后期较高,在玉米发育期较低.同时,吉林省中部地区玉米雨涝频率增速高于其他地区.[结论]吉林省玉米生育初期至发育期的干旱频率呈减少趋势,而玉米生育中后期呈增强趋势,中部地区雨涝频率增速高于其他地区. |
| Author | ZHANG Yaodong WANG, Yongfang WANG, Rui Runa, A GUO Enliang |
| AuthorAffiliation | 内蒙古师范大学地理科学学院,呼和浩特 010022;内蒙古自治区蒙古高原灾害与生态安全重点实验室,呼和浩特 010022%辽宁工业大学化学与环境工程学院,辽宁锦州 121000%内蒙古师范大学地理科学学院,呼和浩特 010022 |
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| Author_FL | A Runa WANG Yongfang ZHANG Yaodong WANG Rui GUO Enliang |
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| Copyright | 2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | 旱涝 吉林省 改进型作物水分亏缺指数 玉米 |
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| SubjectTerms | Agricultural production Center of gravity Corn Crop growth Crop production Crops Developmental stages Drought Growth stage Meteorological data Spatiotemporal data Water deficit Waterlogging Weather stations |
| Title | 吉林省1961—2020年玉米生长季旱涝时空特征研究 |
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