Soil erosion assessment of Slovakia at a regional scale using GIS

被引:0
|
作者
Súri, M
Cebecauer, T
Hofierka, J
Fulajtár, E
机构
[1] Slovak Acad Sci, Inst Geog, Bratislava 81473, Slovakia
[2] Univ Presov, Fac Humanities & Nat Sci, Dept Geog & Geoecol, Presov 08116, Slovakia
[3] GeoModel Ltd, Bratislava 84107, Slovakia
[4] Soil Sci & Conservat Res Inst, Bratislava 82713, Slovakia
来源
EKOLOGIA-BRATISLAVA | 2002年 / 21卷 / 04期
关键词
soil erosion; USLE; GIS;
D O I
暂无
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Suri M., Cebecauer T., Hofierka J., Fulajtar E.: Soil erosion assessment of Slovakia at a regional scale using GIS. Ekologia (Bratislava), Vol. 21, No. 4, 404-422, 2002. The study presents an assessment of potential and actual soil erosion at a regional scale (1:500 000) covering the whole area of Slovakia (49 030 km(2)) by the GIS data,integration and analysis. Potential soil erosion indicates the inherent susceptibility of land to erosion irrespective of contemporary existing land cover/management. Actual soil erosion refers to estimated contemporary erosion, taking into account the land cover and management practices that modify potential erosion. The calculation is based on principles defined in the Universal Soil Loss Equation (USLE) modified for application at regional scale. Input parameters, derived from analytical GIS layers, were handled in raster data model with grid resolution 50 metres. Rainfall erosivity (R factor) was interpolated from calculated values of R factor on 82 meteorological stations. Soil credibility (K factor) was assessed from soil texture and relief parameters (L and S factors) from digital model of relief with resolution of 50 meters. The land cover/management (C) factor was derived from CORINE land cover database, where the class "arable land" was classified according to main crop groups and their acreage occupied. The factor of erosion control practises (P) was not considered. The results indicate that 75% of the territory is potentially endangered by soil erosion at various intensity. The actual erosion is most dangerous in hillylands, intramountainous basins, mountain footslopes and plateaux (about 55% of the country), where the majority of land became agriculturally utilised.
引用
收藏
页码:404 / 422
页数:19
相关论文
共 50 条
  • [41] Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing
    Paidamwoyo Mhangara
    Vincent Kakembo
    Kyoung Jae Lim
    Environmental Earth Sciences, 2012, 65 : 2087 - 2102
  • [42] RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS
    Jasmin Ismail
    S. Ravichandran
    Water Resources Management, 2008, 22 : 83 - 102
  • [43] Soil Erosion Assessment Using the RUSLE Model, Remote Sensing, and GIS in the Woybo Watershed, Ethiopia
    Nesru, Mudesir
    AGRICULTURAL RESEARCH, 2024,
  • [44] Soil erosion risk assessment in the natural and planted forests using ICONA model and GIS technique
    H. Esmaeili Gholzom
    H. Ahmadi
    A. Moeini
    B. Motamedvaziri
    International Journal of Environmental Science and Technology, 2022, 19 : 3947 - 3962
  • [45] Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing
    Mhangara, Paidamwoyo
    Kakembo, Vincent
    Lim, Kyoung Jae
    ENVIRONMENTAL EARTH SCIENCES, 2012, 65 (07) : 2087 - 2102
  • [46] RUSLE2 model application for soil erosion assessment using remote sensing and GIS
    Ismail, Jasmin
    Ravichandran, S.
    WATER RESOURCES MANAGEMENT, 2008, 22 (01) : 83 - 102
  • [47] Comparison of Sampling and Grid Methods for Regional Soil Erosion Assessment
    Gu, Zhijia
    Cao, Shaomin
    Li, Ao
    Yi, Qiang
    Li, Shuang
    Li, Panying
    LAND, 2023, 12 (09)
  • [48] Regional soil erosion assessment based on a sample survey and geostatistics
    Yin, Shuiqing
    Zhu, Zhengyuan
    Wang, Li
    Liu, Baoyuan
    Xie, Yun
    Wang, Guannan
    Li, Yishan
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (03) : 1695 - 1712
  • [49] Regional assessment of soil erosion based on the multivariate membership model
    Mao, Dianhui
    Zeng, Zhiyuan
    Wang, Cheng
    Lin, Weihua
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2007, : 208 - 212
  • [50] Soil erosion risk assessment of zaozhuang based on GIS and RS technology
    Wang, Dapeng
    Li, Xinxin
    Energy Education Science and Technology Part A: Energy Science and Research, 2012, 30 (SUPPL.2): : 383 - 390