GEOSPATIAL ASSESSMENT OF SOIL EROSION ON TIME SERIES USING EROSION POTENTIAL MODEL AND GEOSPATIAL TECHNOLOGIES

被引:0
|
作者
Maliqi, Edon [1 ,2 ]
Milevski, Ivica [3 ]
Penev, Petar [4 ]
机构
[1] UBT Higher Educ Inst, Fac Architecture & Spatial Planning, Pristina, Kosovo
[2] Lagjja Kalabria, Pristina 10000, Kosovo
[3] Ss Cyrill & Methodius Univ, Skopje, North Macedonia
[4] Univ Architecture Civil Engn & Geodesy, Sofia, Bulgaria
关键词
Erosion Potential Model; Geospatial Technologies; Erosion Intensity; Soil Loss; Time Series Maps; SEDIMENT YIELD; INPUT;
D O I
暂无
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The present study aims to estimate average erosion and investigate spatial distribution of soil loss as well as the calculation of the amount of removed soil in the period between 2000 and 2018. In order to be achieved soil erosion potential and sediment yield in Mitrovica region (Kosova), Erosion Potential Model (EPM) also known as Gavrilovic method has been implemented, as the most used model in our region. The EPM is a quantitative method of estimation soil loss. An approach of Geographic Information System (GIS) and Remote Sensing (RS) have been presented and demonstrated in the present study. The model was implemented in two time series, annually. The input data such as climate parameters (precipitation and temperature) as well as other parameters (geology, topography, land cover) have been collected and recorded from different local and freely available datasets. Unaviable or unreliable data necessary for the model are calculated within the software procedure. Because of the lack of input data according the requirements of the model, the necessary data have been computed. The combination of GIS and RS have enabled to develop the reliable model. The performed results on this study will be m3/km2/year. The spatial-temporal distribution of erosion intensity maps and soil loss map in two time series were generated as thematic maps of 20m spatial resolution.
引用
收藏
页码:204 / 212
页数:9
相关论文
共 50 条
  • [1] Geospatial modeling and mapping of soil erosion in India
    Raj, Ravi
    Saharia, Manabendra
    Chakma, Sumedha
    CATENA, 2024, 240
  • [2] Geospatial Assessment of Soil Erosion Intensity and Sediment Yield Using the Revised Universal Soil Loss Equation (RUSLE) Model
    Maqsoom, Ahsen
    Aslam, Bilal
    Hassan, Usman
    Kazmi, Zaheer Abbas
    Sodangi, Mahmoud
    Tufail, Rana Faisal
    Farooq, Danish
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (06)
  • [3] Geospatial assessment of water induced soil and nutrient erosion in Pabho watershed of Assam, India using USLE model
    Borgohain, S.
    Deka, B.
    Dutta, M.
    Thakuria, R. K.
    Patgiri, D. K.
    JOURNAL OF ENVIRONMENTAL BIOLOGY, 2021, 42 (02): : 406 - 413
  • [4] Assessment of soil vulnerability to water erosion in the province of Manabí (Ecuador) through the application of a geospatial model
    Andrade-Carreno, Isabel
    Delgado, Daniel
    Vivas, Mirian Guillen
    INVESTIGACIONES GEOGRAFICAS-SPAIN, 2025, (83):
  • [5] Estimation of Soil Erosion in Nepal Using a RUSLE Modeling and Geospatial Tool
    Koirala, Pooja
    Thakuri, Sudeep
    Joshi, Subesh
    Chauhan, Raju
    GEOSCIENCES, 2019, 9 (04)
  • [6] Predictive assessment on landscape and coastal erosion of Bangladesh using geospatial techniques
    Islam, Md Mozahidul
    Rahman, Md Saifur
    Kabir, Md Alamgir
    Islam, Md Nazrul
    Chowdhury, Ruhul Mohaiman
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2020, 17
  • [7] Evaluation of soil erosion rate using geospatial techniques for enhancing soil conservation efforts
    Tesema, Mokonnen
    Feyessa, Fekadu Fufa
    Kebede, Adisu Befekadu
    Geresu, Bezu Abera
    ENVIRONMENTAL SYSTEMS RESEARCH, 2024, 13 (01)
  • [8] Soil erosion assessment in Rangit catchment, India through a process-based model in the geospatial environment
    Korada, Hari Venkata Durga Rao
    Vala, Venkateshwar Rao
    GEOCARTO INTERNATIONAL, 2014, 29 (05) : 507 - 519
  • [9] Potential Soil Erosion Mapping and Priority-Based Adaption Strategies Using RUSLE and Geospatial Techniques
    Swain, Ratnakar
    Sahoo, Nitish Kumar
    Mishra, Ashok
    JOURNAL OF HYDROLOGIC ENGINEERING, 2024, 29 (03)
  • [10] Geospatial assessment of bioenergy land use and its impacts on soil erosion in the US Midwest
    SooHoo, William M.
    Wang, Cuizhen
    Li, Huixuan
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 190 : 188 - 196