文献类型：期刊文献

中文题名：基于Google Earth Engine的黄土高原植被变化对蒸散发分量影响研究

英文题名：Impact of vegetation change on evapotranspiration components in the Loess Plateau based on Google Earth Engine

作者：蔡依霏[1,2,3] 陈琳舒[1] 吕世轩[4,5] 张永强[6] 吴秋生[7] 王锋[2,3] 宋进喜[8,9] 程磊[10,11] 刘强[12] 张军龙[1]

第一作者：蔡依霏

机构：[1]山东师范大学地理与环境学院,山东济南250358;[2]中国林业科学研究院生态保护与修复研究所,北京100091;[3]中国林业科学研究院荒漠化研究所,北京100091;[4]英国布里斯托大学土木工程学系,英格兰布里斯托BS81TR;[5]加拿大不列颠哥伦比亚大学地球环境与地理科学学院,不列颠哥伦比亚基洛纳V1V 1V7;[6]中国科学院地理科学与资源研究所/中国科学院陆地水循环及地表过程实验室,北京100101;[7]美国田纳西大学地理系,田纳西州诺克思维尔37996;[8]西北大学城市与环境学院/陕西省地表系统与环境承载力重点实验室,陕西西安710127;[9]陕西省黄河研究院,陕西西安710127;[10]武汉大学水资源工程与调度全国重点实验室,湖北武汉430072;[11]湖北省海绵城市建设水系统科学重点实验室(武汉大学),湖北武汉430072;[12]北京师范大学环境学院/教育部水沙科学重点实验室,北京100875

年份：2023

卷号：43

期号：9

起止页码：1649-1658

中文期刊名：地理科学

外文期刊名：Scientia Geographica Sinica

收录：CSTPCD;;Scopus;北大核心:【北大核心2020】；CSCD:【CSCD2023_2024】；

基金：国家自然科学基金项目(42101038);山东省自然科学基金项目(ZR2019BD059)资助。

语种：中文

中文关键词：黄土高原;植被变化;蒸散发;Google Earth Engine

外文关键词：the Loess Plateau;vegetation change;evapotranspiration;Google Earth Engine

分类号：K903

摘要：本文选取黄土高原为研究区,基于GEE(Google Earth Engine)平台,应用PML_V2(2002―2017年)和NDVI(1990―2020年)数据集,利用线性回归、Mann-Kendall非参数检验,对黄土高原长时间尺度植被变化影响下的蒸散发分量变化过程进行定量分析。结果表明:①1990―2020年黄土高原植被呈显著增加趋势(P<0.05),植被变化总体以基本不变(31.2%)和轻微改善(59.4%)趋势为主,空间上由东南向西北逐渐减小;②2002―2017年黄土高原地区植被蒸腾、冠层截留蒸发呈显著上升趋势(P<0.05),土壤蒸发呈不显著下降趋势(P>0.05);③NDVI的增加导致了土壤蒸发的降低(P<0.05),增加了植被蒸腾和冠层截留蒸发(P<0.05)。本研究有助于更好地定量阐释植被生长过程和季节变化对蒸散发分量的影响,对进一步理解植被变化与流域生态水文过程的互馈关系具有重要参考价值。
Evapotranspiration is the process by which water is dispersed to the atmosphere through the soil and ve-getation surfaces,and it has an important impact on water resource consumption in the watershed.It is important to study the evapotranspiration process under the changing vegetation conditions to understand the water balance and water cycle in the watershed.Google Earth Engine(GEE)is a planetary-scale cloud platform for remote sensing imageries,it axiomatically has a primal advantage(e.g.,premium communicating ecosystem and opening sources)in earth-science research.In this paper,the Loess Plateau was selected as the study area,on the platform of GEE,PML_V2(2002—2017)and NDVI(1990—2020)datasets were applied,and linear regression,Mann-Kendall non-parametric test were used to quantitatively analyze the change of evapotranspiration components under the influence of vegetation changes on the Loess Plateau at a long-term scale.The results showed that:1)The vegetation on the Loess Plateau showed a significant increasing trend(P<0.05)from 1990 to 2020,and the overall vegetation change was dominated by the trend of basic unchanged(31.2%)and slightly improved(59.4%),and gradually decreased from southeast to northwest spatially;2)The vegetation transpiration on the Loess Plateau from 2002 to 2017 showed a significant increasing trend in vegetation transpiration and canopy interception evaporation(P<0.05)and with a non-significant decreasing trend in soil evaporation(P>0.05);3)The increase in NDVI led to a de-crease in soil evaporation(P<0.05)and increased vegetation transpiration and canopy interception evaporation(P<0.05).This study is beneficial to quantitatively clarify the impacts of the vegetated growing process and seasonal variations on the components of evapotranspiration,and provide scientific references for understand-ing the reciprocal feedback between vegetation changes and watershed eco-hydrological processes.