Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios

Behera, Madhusmita; Sena, D.R.; Mandal, Uday; Kashyap, P. S.; Dash, Sonam Sandeep

doi:10.1007/s10661-020-08688-2

Cited by 54 publications

(13 citation statements)

References 20 publications

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“…Moreover, topography-based SDR (slope) is scale dependent, and the scale dependency of such SDR has also been observed by researchers [146][147][148]. The RUSLE and SDR (mainly slope-based) are being applied by the scientific community for estimation of PSE and SY [149][150][151][152][153][154][155]. The RUSLE is used at multiple spatial scales by dividing a pixel into sub-regions with similar features and linking them to a GIS data structure [110].…”

Section: Discussionmentioning

confidence: 95%

Estimation of Potential Soil Erosion and Sediment Yield: A Case Study of the Transboundary Chenab River Catchment

Ali

Arshad

et al. 2021

Water

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Near real-time estimation of soil loss from river catchments is crucial for minimizing environmental degradation of complex river basins. The Chenab river is one of the most complex river basins of the world and is facing severe soil loss due to extreme hydrometeorological conditions, unpredictable hydrologic response, and complex orography. Resultantly, huge soil erosion and sediment yield (SY) not only cause irreversible environmental degradation in the Chenab river catchment but also deteriorate the downstream water resources. In this study, potential soil erosion (PSE) is estimated from the transboundary Chenab river catchment using the Revised Universal Soil Loss Equation (RUSLE), coupled with remote sensing (RS) and geographic information system (GIS). Land Use of the European Space Agency (ESA), Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data, and world soil map of Food and Agriculture Organization (FAO)/The United Nations Educational, Scientific and Cultural Organization were incorporated into the study. The SY was estimated on monthly, quarterly, seasonal, and annual time-scales using sediment delivery ratio (SDR) estimated through the area, slope, and curve number (CN)-based approaches. The 30-year average PSE from the Chenab river catchment was estimated as 177.8, 61.5, 310.3, 39.5, 26.9, 47.1, and 99.1 tons/ha for annual, rabi, kharif, fall, winter, spring, and summer time scales, respectively. The 30-year average annual SY from the Chenab river catchment was estimated as 4.086, 6.163, and 7.502 million tons based on area, slope, and CN approaches. The time series trends analysis of SY indicated an increase of 0.0895, 0.1387, and 0.1698 million tons per year for area, slope, and CN-based approaches, respectively. It is recommended that the areas, except for slight erosion intensity, should be focused on framing strategies for control and mitigation of soil erosion in the Chenab river catchment.

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Section: Discussionmentioning

confidence: 95%

Estimation of Potential Soil Erosion and Sediment Yield: A Case Study of the Transboundary Chenab River Catchment

Ali

Arshad

et al. 2021

Water

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“…More closely resembling our erosion rate estimation is that reported by Henry et al [ 111 ] in central Ecuador, which varied around 10 ton*ha -1 *yr -1 in the Páramo grasslands (recall that the Pucaras are mostly located in this ecosystem), increasing from 50 to 150 ton*ha -1 *yr -1 for pasture and annual cropping areas, respectively. Although future climate models were not evaluated in these studies, other research applying them (e.g., HadGEM2-ES, HadCM3) reported mixed impacts on the RUSLE, with soil loss ranging between -25% and 25% of the baseline scenarios [ 112 , 113 ]. This is comparable to our results, as, depending on the climate model applied, soil loss magnitudes tended to increase or decrease depending of the Pucara evaluated (e.g., Pi25 varied between -13.9% to 34.8% considering the rainiest and driest climate models).…”

Section: Discussionmentioning

confidence: 99%

Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador

et al. 2023

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The Pambamarca fortress complex in northern Ecuador is a cultural and built heritage with 18 prehispanic fortresses known as Pucaras. They are mostly located on the ridge of the Pambamarca volcano, which is severely affected by erosion. In this research, we implemented a multiscale methodology to identify sheet, rill and gully erosion in the context of climate change for the prehistoric sites. In a first phase, we coupled the Revised Universal Soil Loss Equation (RUSLE) and four CMIP6 climate models to evaluate and prioritize which Pucaras are prone to sheet and rill erosion, after comparing historical and future climate scenarios. Then, we conducted field visits to collect geophotos and soil samples for validation purposes, as well as drone flight campaigns to derive high resolution digital elevation models and identify gully erosion with the stream power index. Our erosion maps achieved an overall accuracy of 0.75 when compared with geophotos and correlated positively with soil samples sand fraction. The Pucaras evaluated with the historical climate scenario obtained erosion rates ranging between 0 and 20 ton*ha-1*yr-1. These rates also varied from -15.7% to 39.1% for four future climate change models that reported extreme conditions. In addition, after identifying and overflying six Pucaras that showed the highest erosion rates in the future climate models, we mapped their gully-prone areas that represented between 0.9% and 3.2% of their analyzed areas. The proposed methodology allowed us to observe how the design of the Pucaras and their concentric terraces have managed to reduce gully erosion, but also to notice the pressures they suffer due to their susceptibility to erosion, anthropic pressures and climate change. To address this, we suggest management strategies to guide the protection of this cultural and built heritage landscapes.

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“…the South Koel and the Sankh. The latter originates from the Netarhat region of the Chhotanagpur plateau while the source of the former is at Lohardaga, on the other side of the water divide from where the River Damodar arises (Behera et al, 2020). The basin area is 19330 km 2 ., of which 15280 km 2 is in the state of Jharkhand, 2625 km 2 lies in Odisha and the remaining 1425 km 2 is in Chhattisgarh.…”

Section: Modelling a Correctly Parameterized Usle -A Test Applicationmentioning

confidence: 99%

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

Majhi

Shaw

Mallick

et al. 2021

Earth-Science Reviews

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Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios

Cited by 54 publications

References 20 publications

Estimation of Potential Soil Erosion and Sediment Yield: A Case Study of the Transboundary Chenab River Catchment

Estimation of Potential Soil Erosion and Sediment Yield: A Case Study of the Transboundary Chenab River Catchment

Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

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