Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the landcover classes of the Southern Caucasus using GIS and remote sensing

被引:6
作者
Bayramov, Emil [1 ]
Schlager, Patric [2 ]
Kada, Martin [1 ]
Buchroithner, Manfred [3 ]
Bayramov, Rafael [4 ]
机构
[1] Tech Univ Berlin, Inst Geodasie & Geoinformat Tech, Str 17,Juni 135, D-10623 Berlin, Germany
[2] GIZ Off Azerbaijan, Winter Pk Plaza 75,Rasul Rza St 2nd Floor,Off 202, Baku 1014, Azerbaijan
[3] Tech Univ Dresden, Inst Cartog, Helmholtzstr,10 Hulsse Bau,Westflugel Zimmer W136, Dresden, Germany
[4] Baku State Univ, Fac Geog, Acad Zahid Khalilov St 23, Baku 1148, Azerbaijan
关键词
GIS; Remote sensing; Erosion; USLE; NDVI; Landcover; MODELING SOIL-EROSION; RAINFALL EROSIVITY; VEGETATION COVER; CATCHMENT SCALE; SEDIMENT YIELD; SURFACES; AREAS; USLE;
D O I
10.1007/s40808-018-0557-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objectives of this research are the following: quantitative assessment of erosion-prone areas, assessment of the impacts of climate change on future erosion risks and quantification of erosion risks in relation to landcover classes. The practical value of this study is that it promotes a collaborative planning and decision-making tool for the mitigation of erosion risks and consequences which are inevitable for the Southern Caucasus. The selected study area in the Southern Caucasus is the Ismayilly District. The scientific novelty lies in the fact that it considers the aspects of climate change in the prediction of erosion risks. The Universal Soil Loss Equation was used for the prediction of soil loss rates. Out of 2559km(2), 292km(2) were predicted as critical erosion classes with soil loss rates of more than 10 tons/ha/year. Precipitation impacts calculated by means of theHadGEM2-AOclimate change model to erosion processes also showed an increase in soil loss rates. The quantification of predicted erosion related to landcover revealed a significant variation of critical erosion classes within bare lands (5-10 ton/ha/year to 6.21km(2), 10-20 ton/ha/year to 11.90km(2), 20-50 ton/ha/year to 28.24km(2), 50-100 ton/ha/year to 15.44km(2), 100-200 ton/ha/year to 0.75km(2)). The quantification of erosion rates related to landcover classes showed their highest spatial distribution variability within barelands (62.55km(2) out of total 71km(2)) and grasslands (339.44km(2) out of total 895km(2)). Significant areas of stressed vegetation with low NDVI values (0.1-0.2) were observed to be 259.51km(2) within croplands affected by intensive agricultural activities which reduced soil productivity over years.
引用
收藏
页码:659 / 667
页数:9
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