Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Shit, Pravat Kumar; Nandi, Arup Sankar; Bhunia, Gouri Sankar

doi:10.1007/s40808-015-0032-3

Cited by 68 publications

(23 citation statements)

References 32 publications

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“…R factor refers to the kinetic energy of raindrops which could significantly affect the stability of soil aggregates and enhance soil loss 66 – 70 . In this study, the R factor was calculated using a monthly database approach as following 31 , 71 – 74 in Eq. ( 2 ): where R is a rainfall erosivity factor (MJ mm ha −1 h −1 per year); represents monthly rainfall (mm); and, corresponds to the annual rainfall (mm).…”

Section: Methodsmentioning

confidence: 99%

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

Hateffard

Mohammed

Alsafadi

et al. 2021

Sci Rep

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Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, models can be employed to estimate the potential effects of different climatic scenarios on environmental and human interactions. In this research, we present a novel study where changes in soil erosion by water in the central part of Iran under current and future climate scenarios are analyzed using the Climate Model Intercomparison Project-5 (CMIP5) under three Representative Concentration Pathway-RCP 2.6, 4.5 and 8.5 scenarios. Results showed that the estimated annual rate of SE in the study area in 2005, 2010, 2015 and 2019 averaged approximately 12.8 t ha−1 y−1. The rangeland areas registered the highest soil erosion values, especially in RCP2.6 and RCP8.5 for 2070 with overall values of 4.25 t ha−1 y−1 and 4.1 t ha−1 y−1, respectively. They were followed by agriculture fields with 1.31 t ha−1 y−1 and 1.33 t ha−1 y−1. The lowest results were located in the residential areas with 0.61 t ha−1 y−1 and 0.63 t ha−1 y−1 in RCP2.6 and RCP8.5 for 2070, respectively. In contrast, RCP4.5 showed that the total soil erosion could experience a decrease in rangelands by − 0.24 t ha−1 y−1 (2050), and − 0.18 t ha−1 y−1 (2070) or a slight increase in the other land uses. We conclude that this study provides new insights for policymakers and stakeholders to develop appropriate strategies to achieve sustainable land resources planning in semi-arid areas that could be affected by future and unforeseen climate change scenarios.

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Section: Methodsmentioning

confidence: 99%

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

Hateffard

Mohammed

Alsafadi

et al. 2021

Sci Rep

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“…In fact, slope information is among the major input for different geohazard models (Lamelas et al 2009;Cheng et al 2013;Chen et al 2016). On the other hand, aside from slope angle, slope length and orientation (aspect) (Balasubramani et al 2015;Biswas and Pani 2015;Dutta et al 2015;Shit et al 2015a;Xing et al 2016). No distinct aspect class dominates the entire province.…”

Section: Resultsmentioning

confidence: 99%

Terrain characterization of small island using publicly available data and open- source software: a case study of Marinduque, Philippines

Salvacion

2016

Model. Earth Syst. Environ.

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Digital terrain attributes derived from digital elevation model (DEM) such as elevation, slope, and aspect are widely used to determine the influence of topography on different environmental and human processes. The advent of publicly available DEM data has provided a cheaper, low-cost alternative to traditional field data collection and survey. Handling, processing, and visualization of such data on an open-source software will provide researchers and specialists a better and faster way of generating digital terrain maps and creating input data for other analyses. This paper demonstrates the methodology of combining the use ASTER GDEM and SAGA functionality of QGIS, and R software to develop terrain maps for Marinduque, an island province of the Philippines.

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“…To curb such a situation, rainwater harvesting during the wet spells is urgently required. [28]. Percentage of dense forest cover over the region has also decreased from 1989, i.e.…”

Section: Influence Of Climate Variable On Groundwater Levelmentioning

confidence: 99%

Analysis of groundwater level trend and groundwater drought using Standard Groundwater Level Index: a case study of an eastern river basin of West Bengal, India

Halder

Roy

2020

SN Appl. Sci.

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Global water demand has far exceeded the total available water resources which in turn have put a serious concern on food security. Changes in the land use and land cover scenario and rapid population growth are putting unavoidable stress over the water resources of the nation. The Indian aquifer system is facing an acute crisis due to the unscientific abstraction of groundwater for agricultural, industrial and domestic sector by the 1.3 billion growing population. To investigate the groundwater degradation, 20 wells from a river basin of West Bengal have been selected to study their seasonal groundwater level trend using Mann-Kendall test statistics from 1996 to 2018 where 60% of the wells are showing a decline in water level particularly in post-monsoon season. These wells are mainly located near the agricultural land where extraction of groundwater from submersible pumping wells is extensive as observed from socioeconomic survey. Agglomerated hierarchical cluster analysis has been executed to classify the wells based on their magnitude of fluctuation. The wells have been classified in four clusters where cluster I consists most of the wells about 15 numbers whose fluctuation ranged between 1.8 and 4.33 m below groundwater level (mbgl). Finally, Standard Groundwater Level Index has been applied to understand the groundwater drought years. Well locations like Simlapal, Bheduasol and Neradeul have a higher frequency of drought years. The recharge potential of the wells is now decreasing day by day. Such kind of studies is required and will help the stakeholders to focus on sustainable management of this valuable water resource.

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Soil erosion risk mapping using RUSLE model on jhargram sub-division at West Bengal in India

Cited by 68 publications

References 32 publications

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

Terrain characterization of small island using publicly available data and open- source software: a case study of Marinduque, Philippines

Analysis of groundwater level trend and groundwater drought using Standard Groundwater Level Index: a case study of an eastern river basin of West Bengal, India

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