基于遥感温度植被干旱指数的宁夏2000-2010年旱情变化特征
为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数（temperature vegetation dryness index,TVDI）,对2000-2010年的逐月干旱进行了监测,并分析其与气象干旱和农业受旱灾情况的关系.研究结果表明,从空间上来看,宁夏干旱发生频率和强度最高的是中部干旱带,次之是南部丘陵山区,而较少发生干旱的是北部引黄灌区,其中南部六盘山和北部贺兰山林区也很少受干旱影响;在2000-2010年间有3次明显的极端干旱过程,分别是2000、2005和2009年;从旱情变化趋势来看,近10 a...
Saved in:
| Published in | 农业工程学报 Vol. 31; no. 14; pp. 209 - 216 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,银川,750021%宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川,750021
2015
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2015.14.029 |
Cover
| Abstract | 为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数（temperature vegetation dryness index,TVDI）,对2000-2010年的逐月干旱进行了监测,并分析其与气象干旱和农业受旱灾情况的关系.研究结果表明,从空间上来看,宁夏干旱发生频率和强度最高的是中部干旱带,次之是南部丘陵山区,而较少发生干旱的是北部引黄灌区,其中南部六盘山和北部贺兰山林区也很少受干旱影响;在2000-2010年间有3次明显的极端干旱过程,分别是2000、2005和2009年;从旱情变化趋势来看,近10 a来宁夏平均干旱强度在减弱,但极端干旱事件有增强的趋势,且春、夏季显著增强,而秋、冬季显著减弱;宁夏TVDI的变化主要取决于降水量,年平均TVDI、年最大TVDI与降水量、标准化降水指数和标准化降水蒸散指数均呈负相关关系,除年平均TVDI与降水量（P=0.08）和标准化降水指数（P=0.06）的相关性未通过显著性检验外,其他均通过了P〈0.05的显著性检验,但TVDI与气温关系不大,这与当地的土地利用格局及植被类型有关;农业受旱灾面积与年平均TVDI有关,二者相关关系为0.69（P〈0.05）,而与年内单次极端干旱强度关系不大;从不同季节来看,夏季干旱最容易导致宁夏农业减产,次之是春季和秋季干旱,而冬季干旱几乎对农业生产没有影响.该研究可为地方政府制定抗旱救灾和农业生产政策提供一定参考. |
|---|---|
| AbstractList | 为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数（temperature vegetation dryness index,TVDI）,对2000-2010年的逐月干旱进行了监测,并分析其与气象干旱和农业受旱灾情况的关系.研究结果表明,从空间上来看,宁夏干旱发生频率和强度最高的是中部干旱带,次之是南部丘陵山区,而较少发生干旱的是北部引黄灌区,其中南部六盘山和北部贺兰山林区也很少受干旱影响;在2000-2010年间有3次明显的极端干旱过程,分别是2000、2005和2009年;从旱情变化趋势来看,近10 a来宁夏平均干旱强度在减弱,但极端干旱事件有增强的趋势,且春、夏季显著增强,而秋、冬季显著减弱;宁夏TVDI的变化主要取决于降水量,年平均TVDI、年最大TVDI与降水量、标准化降水指数和标准化降水蒸散指数均呈负相关关系,除年平均TVDI与降水量（P=0.08）和标准化降水指数（P=0.06）的相关性未通过显著性检验外,其他均通过了P〈0.05的显著性检验,但TVDI与气温关系不大,这与当地的土地利用格局及植被类型有关;农业受旱灾面积与年平均TVDI有关,二者相关关系为0.69（P〈0.05）,而与年内单次极端干旱强度关系不大;从不同季节来看,夏季干旱最容易导致宁夏农业减产,次之是春季和秋季干旱,而冬季干旱几乎对农业生产没有影响.该研究可为地方政府制定抗旱救灾和农业生产政策提供一定参考. TP79; 为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数(temperature vegetation dryness index,TVDI),对2000-2010年的逐月干旱进行了监测,并分析其与气象干旱和农业受旱灾情况的关系.研究结果表明,从空间上来看,宁夏干旱发生频率和强度最高的是中部干旱带,次之是南部丘陵山区,而较少发生干旱的是北部引黄灌区,其中南部六盘山和北部贺兰山林区也很少受干旱影响;在2000-2010年间有3次明显的极端干旱过程,分别是2000、2005和2009年;从旱情变化趋势来看,近10 a来宁夏平均干旱强度在减弱,但极端干旱事件有增强的趋势,且春、夏季显著增强,而秋、冬季显著减弱;宁夏TVDI的变化主要取决于降水量,年平均TVDI、年最大TVDI与降水量、标准化降水指数和标准化降水蒸散指数均呈负相关关系,除年平均TVDI与降水量(P=0.08)和标准化降水指数(P=0.06)的相关性未通过显著性检验外,其他均通过了P<0.05的显著性检验,但TVDI与气温关系不大,这与当地的土地利用格局及植被类型有关;农业受旱灾面积与年平均TVDI有关,二者相关关系为0.69(P<0.05),而与年内单次极端干旱强度关系不大;从不同季节来看,夏季干旱最容易导致宁夏农业减产,次之是春季和秋季干旱,而冬季干旱几乎对农业生产没有影响.该研究可为地方政府制定抗旱救灾和农业生产政策提供一定参考. |
| Abstract_FL | Drought is a period of deficit in precipitation with impact on agriculture, water resources and natural ecosystems. It has always an impact on agricultural and ecological fields and causes serious environmental consequences worldwide. Drought has been a prevalent concern for local government in Ningxia Hui Autonomous Region over the last decades. Therefore, monitoring drought characteristics and exploring its change trend in Ningxia are crucial for local agricultural production and ecological construction. Based on the difference of the temperature of day and night (ΔLST), which was calculated from day and night land surface temperature (LST) of the moderate resolution imaging spectroradiometer (MODIS) and normalized differential vegetation index (NDVI) data, the monthly temperature vegetation dryness index (TVDI) in Ningxia from 2000 to 2010 was produced. The time series TVDI data were used to monitor the drought characteristics in Ningxia during the past 10 years, and the relationships of TVDI with meteorological factors, meteorological drought index and agricultural disaster-affected area were also analyzed in this paper. The results showed that there was a typical triangular shape between theΔLST and NDVI which is suitable for building the TVDI model. The dry edges were obtained by a least squares regression that had significant negative slopes (P<0.05), and the wet edges almost were constant isoline which was an optimal theoretical condition. The time series TVDI showed that the drought spatial characteristics were different in 3 typical ecosystem regions. Severe drought with the most frequency and high intensity usually occurred in the arid zone of middle Ningxia. The mountains area of southern Ningxia was moderate affected by drought, for drought occurred with lower frequency and intensity. By contrast, the Yellow River irrigation area of northern Ningxia was slightly affected by drought during the past 10 years, for there was a typical inland oasis and convenient irrigation condition from the Yellow River. By the way, the forest regions of Liupan Mountain in the south and Helan Mountain in the north were also less affected by drought because this ecosystem could adjust moisture by itself. From the perspective of whole Ningxia, there were 3 extreme drought events in 2000, 2005 and 2009 respectively that were detected by time series TVDI data, and this result was consistent with the previous studies. Based on the methods of the linear regression of TVDI and the ensemble empirical mode decomposition (EEMD), the change trends of drought during the past 10 years were detected respectively in annual and quarterly scales. The annual mean drought intensity was weakening from 2000 to 2010, but the monthly extreme drought event of each year was enhancing. The mean drought intensity in spring and summer was significantly enhancing, but in autumn and winter was significantly weakening. The correlation analysis results showed that the variation of TVDI mainly depended on the annual precipitation rather than annual average air temperature, and this phenomenon was related to the land use pattern and vegetation type in Ningxia. The disaster-affected area had a significant correlation with the annual mean drought intensity rather than monthly extreme drought event of each year. This phenomenon indicated that the long-time drought process, prolonged for more than one month, would impact the agricultural production in Ningxia. The seasonal results showed that summer drought was most likely to lead to the reduction of agricultural production, and then were the spring and autumn drought, while the winter drought had no effect on the agricultural production in Ningxia. This work can provide theoretical basis for the local government to make a proper strategy when combating drought, scheduling irrigation and providing disaster relief. |
| Author | 杜灵通 候静 胡悦 王新云 王磊 |
| AuthorAffiliation | 宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,银川750021 宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川750021 |
| AuthorAffiliation_xml | – name: 宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,银川,750021%宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川,750021 |
| Author_FL | Wang Xinyun Wang Lei Hu Yue Du Lingtong Hou Jing |
| Author_FL_xml | – sequence: 1 fullname: Du Lingtong – sequence: 2 fullname: Hou Jing – sequence: 3 fullname: Hu Yue – sequence: 4 fullname: Wang Xinyun – sequence: 5 fullname: Wang Lei |
| Author_xml | – sequence: 1 fullname: 杜灵通 候静 胡悦 王新云 王磊 |
| BookMark | eNo9j7tKA0EUhqeIYNS8hCBWu56ZnZndKSV4w4BN-jB7mbhBJ5pFNGUwIkI0lRdsAhIFEUTFwqTwaZyNvoUbIlYH_vPxX2ZQTtd1hNACBhtj4bKlmh0nibYxALG4h4VNADMbUxuIyKH8vz6NCkkS-8Cw4wJQnEebpjf8Gl78tO7Tdi_9eDTDh7R__n33ZAZv6fVr2jlNL19Gt23z3DL9LgEAK_MGM3gff49PTPfGdK5GZwPz2ZpDU0ruJFHh786i8upKubhulbbWNorLJStgQli-lCr0acQd6tIwYF5IghAT5QURw75SWU0REi5DIjAHpkgEbEz7TFEf88iZRYsT20OpldTVSq1-0NBZYEU3q8GRP96OabY8I-cnZLBd19X9OGP3GvGubDQrnDMuPEZd5xffVHVp |
| ClassificationCodes | TP79 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP W95 ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.11975/j.issn.1002-6819.2015.14.029 |
| DatabaseName | 维普期刊资源整合服务平台 中文科技期刊数据库-CALIS站点 中文科技期刊数据库-7.0平台 中文科技期刊数据库-农业科学 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture |
| DocumentTitleAlternate | Drought variation characteristics in Ningxia from 2000 to 2010 based on temperature vegetation dryness index by remote sensing |
| DocumentTitle_FL | Drought variation characteristics in Ningxia from 2000 to 2010 based on temperature vegetation dryness index by remote sensing |
| EndPage | 216 |
| ExternalDocumentID | nygcxb201514029 665698547 |
| GrantInformation_xml | – fundername: 国家自然科学基金; 国家自然科学基金; 宁夏高等学校科学研究重点项目 funderid: (41201438); (41261089); (NGY2014001) |
| GroupedDBID | -04 2B. 2B~ 2RA 5XA 5XE 92G 92I 92L ABDBF ABJNI ACGFO ACGFS AEGXH AIAGR ALMA_UNASSIGNED_HOLDINGS CCEZO CHDYS CQIGP CW9 EOJEC FIJ IPNFZ OBODZ RIG TCJ TGD TUS U1G U5N W95 ~WA 4A8 93N ACUHS PSX |
| ID | FETCH-LOGICAL-c599-baafdb4e63474dc58d2cd12f8ce51bff8199d26ad291605f2e054e63b5f4b16e3 |
| ISSN | 1002-6819 |
| IngestDate | Thu May 29 04:04:19 EDT 2025 Wed Feb 14 10:28:24 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 14 |
| Keywords | precipitation 干旱 降水 宁夏 drought drought affected crop area remote sensing temperature vegetation dryness index 遥感 农业受旱灾面积 Ningxia 温度植被干旱指数 |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c599-baafdb4e63474dc58d2cd12f8ce51bff8199d26ad291605f2e054e63b5f4b16e3 |
| Notes | Drought is a period of deficit in precipitation with impact on agriculture, water resources and natural ecosystems. It has always an impact on agricultural and ecological fields and causes serious environmental consequences worldwide. Drought has been a prevalent concern for local government in Ningxia Hui Autonomous Region over the last decades. Therefore, monitoring drought characteristics and exploring its change trend in Ningxia are crucial for local agricultural production and ecological construction. Based on the difference of the temperature of day and night （ΔLST）, which was calculated from day and night land surface temperature （LST） of the moderate resolution imaging spectroradiometer （MODIS） and normalized differential vegetation index （NDVI） data, the monthly temperature vegetation dryness index （TVDI） in Ningxia from 2000 to 2010 was produced. The time series TVDI data were used to monitor the drought characteristics in Ningxia during the past 10 years, and the relationships of TVDI with meteorol |
| PageCount | 8 |
| ParticipantIDs | wanfang_journals_nygcxb201514029 chongqing_primary_665698547 |
| PublicationCentury | 2000 |
| PublicationDate | 2015 |
| PublicationDateYYYYMMDD | 2015-01-01 |
| PublicationDate_xml | – year: 2015 text: 2015 |
| PublicationDecade | 2010 |
| PublicationTitle | 农业工程学报 |
| PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationTitle_FL | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationYear | 2015 |
| Publisher | 宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,银川,750021%宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川,750021 |
| Publisher_xml | – name: 宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,银川,750021%宁夏大学西北退化生态系统恢复与重建教育部重点实验室,银川,750021 |
| SSID | ssib051370041 ssib017478172 ssj0041925 ssib001101065 ssib023167668 |
| Score | 2.0696054 |
| Snippet | 为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数（temperature vegetation dryness... TP79; 为了探讨近10 a来宁夏的旱情变化特征及演变趋势,利用MODIS的地表昼夜温度数据计算昼夜温差,结合归一化植被指数产品计算温度植被干旱指数(temperature vegetation dryness... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 209 |
| SubjectTerms | 农业受旱灾面积 宁夏 干旱 温度植被干旱指数 遥感 降水 |
| Title | 基于遥感温度植被干旱指数的宁夏2000-2010年旱情变化特征 |
| URI | http://lib.cqvip.com/qk/90712X/201514/665698547.html https://d.wanfangdata.com.cn/periodical/nygcxb201514029 |
| Volume | 31 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LahRBsEk2IHoQnxijkoN9ChtnZvt57NmdJSh6ipDbMrMzszltYkxAcwtGRIjm5AMvAYmCCKLiweTg1zgb_QurejuTCUpQL03TVV1dXdXTVf2oHkKughOSSe15da1lo85iGMZx4rF6zniG-wwqSDDA-eYtMXObXZ_jcyOjtcqtpZXlZLq7-se4kv_RKpSBXjFK9h80WxKFAsiDfiEFDUP6VzqmEae6TUNDI4apimikwTekhtNIUMUQCplQUaMRGXCMwBIDLmSLRlAeUBNakKZhgCAtaejb6k2qpC0BqEcjSbVBmoBsImwFM0CnbePG8bx7nw47TKdBFUeQalOtbKZJtUCCSiM-1kKCVUfZogGRpu2awqYRTdquQaqosmybluuRgq7x_eFj22_Z2hI5DbkVjAdkpixlyGksQiQ9hYIALs2QXZCImLIVI9uIQGZRAFbG2q_CgBPonanunQzjRt1Ej5ZAKDddO0vg7JEb8aw6r3u64iIEw_DQ362PltyaH2xiumwCLxByMEnTntvcOfzAtwCXWivO5CgZC6T0eY2MmbAVtg_cWh9X7uW86-M_D_yDeOcAXzMQB8tG7jfwpwXlVSc86Of21N8xdIzQfXavHcUsvjcyv9Dv3QEvyga19fO436v4X7OnyEm3cJo0w6_gNBlZnT9DTpjekns8JjtLbhRbu993n_5cezNY3xp8fVfsvh1sP_nx-n2x83nw4tNg49Hg2ce9V-vFh7Vie7MctcXOF4Q-eFhsviw2nu893im-rZ0js-1otjlTdz8LqXe51vUkjvM0YZloMMnSLldp0E39IFfdjPtJnkPPdBqIOA1gPeTxPMhgrQLYCc9Z4ouscZ7U-gv97AKZZEqnYPW5ChqMBT6LhYol2OFYx5ylqRwnE6VUOovDN2E6pRLHyaSTU8fNFHc7_fu97r0EBeszEOvFIwlMkOOIOdzmu0Rqy0sr2WVwfJeTK25c_AJznoTp |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E9%81%A5%E6%84%9F%E6%B8%A9%E5%BA%A6%E6%A4%8D%E8%A2%AB%E5%B9%B2%E6%97%B1%E6%8C%87%E6%95%B0%E7%9A%84%E5%AE%81%E5%A4%8F2000-2010%E5%B9%B4%E6%97%B1%E6%83%85%E5%8F%98%E5%8C%96%E7%89%B9%E5%BE%81&rft.jtitle=%E5%86%9C%E4%B8%9A%E5%B7%A5%E7%A8%8B%E5%AD%A6%E6%8A%A5&rft.au=%E6%9D%9C%E7%81%B5%E9%80%9A+%E5%80%99%E9%9D%99+%E8%83%A1%E6%82%A6+%E7%8E%8B%E6%96%B0%E4%BA%91+%E7%8E%8B%E7%A3%8A&rft.date=2015&rft.issn=1002-6819&rft.volume=31&rft.issue=14&rft.spage=209&rft.epage=216&rft_id=info:doi/10.11975%2Fj.issn.1002-6819.2015.14.029&rft.externalDocID=665698547 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90712X%2F90712X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fnygcxb%2Fnygcxb.jpg |