The impact of climatic and non-climatic factors on land surface temperature in southwestern Romania

被引:8
|
作者
Rosca, Cristina Florina [1 ]
Harpa, Gabriela Victoria [1 ]
Croitoru, Adina-Eliza [2 ]
Herbel, Ioana [1 ]
Imbroane, Alexandru Mircea [3 ]
Burada, Doina Cristina [4 ]
机构
[1] Babes Bolyai Univ, Fac Geog, 5-7 Clinicilor St, Cluj Napoca 400006, Cluj, Romania
[2] Babes Bolyai Univ, Dept Phys & Tech Geog, Fac Geog, 5-7 Clinicilor St, Cluj Napoca 400006, Cluj, Romania
[3] Babes Bolyai Univ, Fac Geog, Dept Reg Geog & Terr Planning, 5-7 Clinicilor St, Cluj Napoca 400006, Cluj, Romania
[4] Natl Meteorol Adm, Oltenia Reg Meteorol Ctr, 3A Brestei St, Craiova, Dolj, Romania
关键词
URBAN HEAT-ISLAND; VEGETATION INDEX; EVAPOTRANSPIRATION; PRECIPITATION; RESPONSES; DYNAMICS; CITY;
D O I
10.1007/s00704-016-1923-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Land surface temperature is one of the most important parameters related to global warming. It depends mainly on soil type, discontinuous vegetation cover, or lack of precipitation. The main purpose of this paper is to investigate the relationship between high LST, synoptic conditions and air masses trajectories, vegetation cover, and soil type in one of the driest region in Romania. In order to calculate the land surface temperature and normalized difference vegetation index, five satellite images of LANDSAT missions 5 and 7, covering a period of 26 years (1986-2011), were selected, all of them collected in the month of June. The areas with low vegetation density were derived from normalized difference vegetation index, while soil types have been extracted from Corine Land Cover database. HYSPLIT application was employed to identify the air masses origin based on their backward trajectories for each of the five study cases. Pearson, logarithmic, and quadratic correlations were used to detect the relationships between land surface temperature and observed ground temperatures, as well as between land surface temperature and normalized difference vegetation index. The most important findings are: strong correlation between land surface temperature derived from satellite images and maximum ground temperature recorded in a weather station located in the area, as well as between areas with land surface temperature equal to or higher than 40.0 A degrees C and those with lack of vegetation; the sandy soils are the most prone to high land surface temperature and lack of vegetation, followed by the chernozems and brown soils; extremely severe drought events may occur in the region.
引用
收藏
页码:775 / 790
页数:16
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