Vol. 11, Special Issue 8 (2022)

Author(s):
Techi Tagung, Sanjay Kumar Singh, Pankaj Singh, Sumedh R Kashiwar, KK Singh and Ankit Singh

Abstract:
Land is the most essential natural resource which is crucial in sustaining livelihoods in most of the countries. Soil erosion is one of the world environmental problems, the world is facing in 21st century affecting human society. According to the World Health Organization, an estimated 10 million hectares of agricultural land are degraded and rendered unusable owing to soil erosion, which reduces food supply for the 3.7 billion malnourished people. As a result, many nations now consider it vital to estimate soil erosion loss and evaluate soil erosion risk prior to implementing soil conservation techniques. However, it is challenging to estimate soil loss due to the intricacy of the erosion process. Moreover, management of catchment regions has become very difficult for decision-makers without adequate information on soil loss. It is now simple to assess soil loss due to the availability of soil erosion models. In order to take this complexity into account in soil erosion research, numerous models have been created. An easy and comprehensive methodology for evaluating soil erosion is provided by empirical models like RUSLE. Remote sensing and geographic information systems (GIS) are both well integrated by the RUSLE paradigm. This paper gives a broad summary of the RUSLE model's developmental milestones for assessing soil loss. According to the review, various equations have been created by scientists to model the five elements of the RUSLE model. It was also observed that when developing such equations, the various changes that represent the soil erosion process were taken into account.