Remote Sensing and GIS based Soil Loss Estimation for Bhutan, using RUSLE model
2021; Taylor & Francis; Volume: 37; Issue: 21 Linguagem: Inglês
10.1080/10106049.2021.1936210
ISSN1752-0762
AutoresSangay Gyeltshen, Rabindra Adhikari, Padam Bahadur Budha, Gautam Thapa, Krishna Kumar Subedi, Bichit Kumar Singh,
Tópico(s)Hydrology and Watershed Management Studies
ResumoThe repository of soil by water at a national and basin scale was estimated using the RUSLE empirical model which is the first of its kind in Bhutan. The annual soil loss is estimated and categorized into five categories: very low ( 800 t/yr). Sakteng and Jaldakha basins contributed the highest soil loss rate of 0.04 and 0.039 t/ha/yr, while considering on landuse pattern, non-built-up and landslide category encountered the highest soil loss of 4.09 and 0.7 t/ha/yr among others. Similarly, Tsirang, Samtse and Haa contributed the major soil loss of 0.03, 0.0298 and 0.02 t/ha/yr, respectively. The research can be used as an authentic instrument enabling the soil conservationist and the policymakers to evaluate the adverse impacts, prioritize the conservation efforts and investigate further to narrow down the causes of soil erosion.
Referência(s)