ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

SPEI和植被遙感信息監(jiān)測(cè)西南地區(qū)干旱差異分析
CSTR:
作者:
作者單位:

作者簡(jiǎn)介:

通訊作者:

中圖分類號(hào):

基金項(xiàng)目:

國(guó)家自然科學(xué)基金項(xiàng)目(52079103)


Difference Analysis of SPEI and Vegetation Remote Sensing Information in Drought Monitoring in Southwest China
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計(jì)
  • |
  • 參考文獻(xiàn)
  • |
  • 相似文獻(xiàn)
  • |
  • 引證文獻(xiàn)
  • |
  • 資源附件
  • |
  • 文章評(píng)論
    摘要:

    基于西南地區(qū)2000—2018年不同時(shí)間尺度的標(biāo)準(zhǔn)化降水蒸散指數(shù)(SPEI-1,、SPEI-3、SPEI-12),,應(yīng)用線性趨勢(shì)法和曼肯德爾檢驗(yàn)(Mann-Kendall test, M-K)法分析了西南地區(qū)氣象干旱的時(shí)間變化特征,,評(píng)價(jià)了日光誘導(dǎo)葉綠素?zé)晒猓⊿IF)、歸一化植被指數(shù)(NDVI)以及增強(qiáng)型植被指數(shù)(EVI)等植被遙感數(shù)據(jù)對(duì)區(qū)域植被狀況監(jiān)測(cè)的有效性及差異性,。結(jié)果表明:2000—2018年西南地區(qū)SPEI整體上呈微弱增加趨勢(shì),,其中,2000—2013年間,,SPEI-12呈下降趨勢(shì)(趨勢(shì)率為-0.05/(10a),,R2=0.295),2014—2018年間,,SPEI-12時(shí)間序列呈上升趨勢(shì)(趨勢(shì)率為0.04/(10a),,R2=0.094),說明在氣候變化背景下,,近年來西南地區(qū)的干旱化趨勢(shì)有所緩解,。SPEI-12的趨勢(shì)突變點(diǎn)發(fā)生在2016年和2017年。相對(duì)于植被綠度指數(shù)NDVI和EVI,,SIF對(duì)植被生長(zhǎng)季發(fā)生的長(zhǎng)期和短期干旱事件均表現(xiàn)出較大負(fù)異常,,說明SIF可快速獲取水分脅迫下的植被光合作用信息。森林,、農(nóng)田和草地的SIF與不同時(shí)間尺度氣象干旱指數(shù)的相關(guān)性均高于NDVI和EVI,,SIF對(duì)森林、農(nóng)田及草地植被生態(tài)系統(tǒng)干旱監(jiān)測(cè)的敏感性優(yōu)于傳統(tǒng)的植被綠度指數(shù),;草地的SIF與SPEI-1的相關(guān)性更高(R=0.859, P<0.01),,其光合作用對(duì)短期水分脅迫最為敏感。本研究可為西南地區(qū)干旱的綜合應(yīng)對(duì),、水資源管理調(diào)控及生態(tài)治理提供科學(xué)依據(jù),。

    Abstract:

    Since 2000, drought has occurred frequently in Southwest China, which has seriously affected social production and ecological environment. Therefore, studying the temporal evolution characteristics of meteorological drought and its impact on vegetation growth can provide theoretical basis for scientific management of regional water resources and ecological control. Based on the monthly precipitation and temperature data of Southwest China from 2000 to 2018, the standardized precipitation evapotranspiration index of different time scales was calculated. The linear trend method and Mann-Kendall (M-K) test were used to analyze the temporal variation characteristics of meteorological drought in Southwest China. The effectiveness and difference of solarinduced chlorophyll fluorescence (SIF), normalized differential vegetation index (NDVI) and enhanced vegetation index (EVI) in vegetation stress monitoring were evaluated. Furthermore, the response of vegetation to drought was also explored. The results showed that SPEI values showed a weak increasing trend in all time scales from 2000 to 2018. From 2000 to 2013, SPEI-12 showed a downward trend (the trend rate was -005/(10a), R2=0.295), and from 2014 to 2018, SPEI-12 time series showed an increasing trend (the trend rate was 004/(10a), R2=0.094), indicating that the drought trend in Southwest China was alleviated in recent years under the background of climate change. The turning point of SPEI-12 time series occurred in 2016 and 2017 respectively. Compared with NDVI and EVI, SIF showed obvious negative anomalies for both longterm and shortterm drought events during vegetation growing season, and it can quickly obtain the information of vegetation photosynthesis under water stress. The correlation between SIF of forest, farmland and grassland and meteorological drought index at different time scales was higher than NDVI and EVI, which meant that the sensitivity of SIF of forest, farmland and grassland vegetation ecosystem to drought monitoring was better than that of traditional vegetation greenness index. The correlation between SIF of grassland and SPEI-1 was higher (R=0.859, P<0.01), which indicated the grassland photosynthesis was more sensitive to shortterm water stress. The research results can provide scientific basis for comprehensive drought coping, water resources management and ecological control in Southwest China. 

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

史曉亮,吳夢(mèng)月,丁皓. SPEI和植被遙感信息監(jiān)測(cè)西南地區(qū)干旱差異分析[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(12):184-192. SHI Xiaoliang, WU Mengyue, DING Hao. Difference Analysis of SPEI and Vegetation Remote Sensing Information in Drought Monitoring in Southwest China[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(12):184-192.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2020-08-22
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2020-12-10
  • 出版日期: 2020-12-10
文章二維碼