THE QUANTITATIVE ESTIMATION OF THE SOIL EROSION USING USLE TYPE ROMSEM MODEL. CASE-STUDY- THE CODRULUI RIDGE AND PIEDMONT (ROMANIA)

被引:0
作者
Arghius, Corina [1 ]
Arghius, Viorel [2 ]
机构
[1] Colegiul Natl Pedag Gh Lazar Cluj Napoca, Cluj Napoca, Romania
[2] Univ Babes Bolyai, R-3400 Cluj Napoca, Romania
来源
CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES | 2011年 / 6卷 / 02期
关键词
soil erosion; ROMSEM model; GIS; Codrului Piedmont; erosivity factor; RISK;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes a quantitative estimate of the current annual rate of soil surface erosion in the Codrului Ridge and Piedmont (due to the pluvial denudation and sheet erosion) and a spatial representation of the results by implementing GIS techniques. The database used in the application of the ROMSEM model (Romanian Soil Erosion Model) was consisting of Digital Elevation Model (DEM) with a resolution of 10 m, for computing the topographic factor (LS), soil map (with information about the type, texture, structure and degree of soil erosion), land use map, based on Corine Land Cover 2000 and corrected according to ortophotos dating from 2005, with a 0.5 m resolution, and the rainfall erosivity index map in Romania. The estimation of the surface erosion in the Codrului and Piedmont Ridge was achieved in two stages: first was assessed the potential erosion (the peak value of the erosion in an area devoid of vegetation) based on the climatic, topographic and soil factors. The effective surface erosion map was obtained in the second stage of the mathematical modeling erosion, by integrating the effect of natural or crop vegetation. The thematic map obtained was aligned to the present Romanian legislation (order no. 223 of May 28, 2002); the superficial erosion intensity map includes five classes: insignificant erosion <3 t ha(-1) yr(-1), low erosion: 3-10 t ha(-1) y(-1), moderate erosion: 10-20 t ha(-1) yr(-1); high erosion: 20-40 t ha(-1) yr(-1), very high erosion: >40 t ha(-1) yr(-1). The results obtained indicate an average annual rate of erosion of 0.575 t ha(-1) yr(-1) and a quantity of material discharged by surface erosion of 55,561 tons per year. 97.46 % of the study area has tolerable values (<3 t ha(-1) yr(-1)), revealing the low degree of human intervention, a good vegetation cover and the domination of the slopes with low inclination, less susceptible to erosion.
引用
收藏
页码:59 / 66
页数:8
相关论文
共 50 条
[21]   Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed, northwest Turkey [J].
Demirci, Ali ;
Karaburun, Ahmet .
ENVIRONMENTAL EARTH SCIENCES, 2012, 66 (03) :903-913
[22]   Simulating climate change impact on soil erosion using RUSLE model - A case study in a watershed of mid-Himalayan landscape [J].
Gupta, Surya ;
Kumar, Suresh .
JOURNAL OF EARTH SYSTEM SCIENCE, 2017, 126 (03)
[23]   Soil Erosion Assessment Using the Intensity of Erosion and Outflow Model by Estimating Sediment Yield: Case Study in River Basins with Different Characteristics from Cluj County, Romania [J].
Sestras, Paul ;
Mircea, Sevastel ;
Cimpeanu, Sorin M. ;
Teodorescu, Razvan ;
Rosca, Sanda ;
Bilasco, Stefan ;
Rusu, Teodor ;
Salagean, Tudor ;
Dragomir, Lucian Octavian ;
Markovic, Rastko ;
Spalevic, Velibor .
APPLIED SCIENCES-BASEL, 2023, 13 (16)
[24]   Assessment of soil erosion dynamics and implications for sustainable land management: A case study using the RUSLE model [J].
Zhang, Lu ;
Haseeb, Muhammad ;
Tahir, Zainab ;
Tariq, Aqil ;
Almutairi, Khalid F. ;
Soufan, Walid .
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2024, 40 (03) :385-399
[25]   Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin [J].
Ganasri, B. P. ;
Ramesh, H. .
GEOSCIENCE FRONTIERS, 2016, 7 (06) :953-961
[26]   Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal [J].
Thapa P. .
Environmental Systems Research, 2020, 9 (01)
[27]   Soil erosion risk assessment using GIS and CORINE model: a case study from western Shiraz, Iran [J].
Tayebi, Mohboobeh ;
Tayebi, Mohammad H. ;
Sameni, Abdolmajid .
ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2017, 63 (08) :1163-1175
[28]   Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin [J].
B.P.Ganasri ;
H.Ramesh .
Geoscience Frontiers, 2016, (06) :953-961
[29]   Estimation of soil erosion and sediment yield from mine tailing dumps using GIS: a case study at the Samgwang mine, Korea [J].
Kim, Sung-Min ;
Choi, Yosoon ;
Suh, Jangwon ;
Oh, Sungchan ;
Park, Hyeong-Dong ;
Yoon, Suk-Ho .
GEOSYSTEM ENGINEERING, 2012, 15 (01) :2-9
[30]   Assessing landslide vulnerability using bivariate statistical analysis and the frequency ratio model. Case study: Transylvanian Plain (Romania) [J].
Rosian, Gheorghe ;
Csaba, Horvath ;
Kinga-OIga, Reti ;
Botan, Cristian-Nicolae ;
Gavrila, Ionela Georgiana .
ZEITSCHRIFT FUR GEOMORPHOLOGIE, 2016, 60 (04) :359-371