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Soil Erosion Assessment of a Hilly Terrain by RUSLE Model - A Case Study of Chittagong Hill Tracts

Cilt: 4 Sayı: 2 28 Eylül 2023
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Soil Erosion Assessment of a Hilly Terrain by RUSLE Model - A Case Study of Chittagong Hill Tracts

Abstract

Among many environmental problems, soil erosion poses a serious threat to the region known as Chittagong Hill Tracts (CHTs) in Bangladesh, comprising three districts, namely Bandarban, Rangamati, and Khagrachari. The annual soil erosion rate for this hilly terrain was calculated using the Revised Universal Soil Loss Equation (RUSLE) model integrated with Remote Sensing and Geographic Information System (GIS). The ranges of the estimated erosivity of rainfall, erodibility of the soil, slope length and slope steepness, crop management factor and conservation practices are 806.2 to 1513.2 MJ.mm.ha-1.h-1.yr-1 (or an average of 1121.5 MJ.mm.ha-1.h-1.yr-1), 0 to 0.02 t.h.MJ-1 mm-1, 0 to 78.8 (or average 0.41), 0 to 0.63 (or average 0.57) and 0.55 to 1 (or average 0.73), respectively. As per the findings, the study area is expected to lose 182621.5 tons of soil annually, with the estimated annual soil erosion rate of 15.18 t.ha-1.yr-1 also predicted. The weighted overlay index approach was used to produce the probability zone map, which shows that the majority of the research region falls within the slight probability zone and that only a small percentage falls inside the high and very high probability zones. This study proves RS-GIS is useful for predicting erosion and can be used in soil conservation programs.

Keywords

Soil erosion , USLE , RUSLE , Remote sensing and GIS

Kaynakça

  1. Bai, Z. G. (2006). Assessing land degradation in the Chittagong Hill Tracts , Bangladesh , using NASA GIMMS (ISRIC Report 2006/06). Wageningen, The Netherlands: ISRIC - World Soil Information.
  2. Boyce R. C., (1975). Sediment routing with sediment delivery ratios. Present and prospective technology for predicting sediment yields and sources (USDA ARS-S-40). Washington DC: U.S. Department of Agriculture.
  3. Byizigiro, R. V., Rwanyiziri, G., Mugabowindekwe, M, Kagoyire, C., & Biryabarema, M. (2020). Estimation of Soil Erosion Using RUSLE Model and GIS: The Case of Satinskyi Catchment, Western Rwanda. Rwanda Journal of Engineering, Science, Technology and Environment, 3(1), 14-33.
  4. Das, B., Paul, A., Bordoloi, R., Tripathi, O. P., & Pandey, P. K. (2018). Soil erosion risk assessment of hilly terrain through integrated approach of RUSLE and geospatial technology: a case study of Tirap District, Arunachal Pradesh. Modeling Earth Systems and Environment, 4(1), 373-381.
  5. Durigon, V. L., Carvalho, D. F., Antunes, M. A. H., Oliveira, P. T. S., & Fernandes, M. M. (2014). NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441-453.
  6. Earthdata. (2022a, August 20). Giovanni - Interactive Online Visualization and Analysis Infrastructure. NASA Goddard Earth Sciences Data and Information Services Center. Retrieved from https://giovanni.gsfc.nasa.gov/giovanni/
  7. Earthdata. (2022b, August 20). Earthdata Search. Retrieved from https://search.earthdata.nasa.gov/search
  8. FAO. (2022, August 20). Data Catalog. Food and Agriculture Organization of the United Nations. Retrieved from https://data.apps.fao.org/map/catalog/
  9. FAO-UNESCO. (1987). Soil map of the world. Retrieved from https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/faounesco-soil-map-of-the-world.
  10. Farhan, Y., Zregat, D., & Farhan, I. (2013). Spatial Estimation Of Soil Erosion Risk Using RUSLE approach, RS, and GIS techniques: A case study of Kufranja Watershed, Northern Jordan. Journal of Water Resource and Protection, 5(12), 1247-1261.

Kaynak Göster

APA
Afrin, E. A., Mamun, M. M. A. A., Hossain, M. M., & Zhang, L. (2023). Soil Erosion Assessment of a Hilly Terrain by RUSLE Model - A Case Study of Chittagong Hill Tracts. Türk Uzaktan Algılama ve CBS Dergisi, 4(2), 151-165. https://doi.org/10.48123/rsgis.1197801