Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: A case study in the Kapgari watershed, India

Singh, Gurjeet; Panda, Rutuparna

doi:10.1016/j.iswcr.2017.05.006

Cited by 111 publications

(57 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Due to the amount and intensity of the rainfall, the rainfall erosivity value of Taiwan is many times higher than the global average obtained by Borrelli et al [2], making water erosion a very serious concern in Taiwan. In fact, not just in Taiwan, the concern of soil erosion has been evident in many published studies in different parts of the world, including Europe [3,4], the US and Mexico [5,6], mainland China [7,8], India [9,10], Africa [11,12], Australia [13,14], etc. A steady increase in the number of studies on soil erosion in the last few years has also prompted a few regional and global studies that provide a bigger picture of the emerging crisis [2,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion Modeling and Comparison Using Slope Units and Grid Cells in Shihmen Reservoir Watershed in Northern Taiwan

Liu

Chen

et al. 2018

Water

View full text Add to dashboard Cite

Soil erosion is a global problem that will become worse as a result of climate change. While many parts of the world are speculating about the effect of increased rainfall intensity and frequency on soil erosion, Taiwan’s mountainous areas are already facing the power of rainfall erosivity more than six times the global average. To improve the modeling ability of extreme rainfall conditions on highly rugged terrains, we use two analysis units to simulate soil erosion at the Shihmen reservoir watershed in northern Taiwan. The first one is the grid cell method, which divides the study area into 10 m by 10 m grid cells. The second one is the slope unit method, which divides the study area using natural breaks in landform. We compared the modeling results with field measurements of erosion pins. To our surprise, the grid cell method is much more accurate in predicting soil erosion than the slope unit method, although the slope unit method resembles the real terrains much better than the grid cell method. The average erosion pin measurement is 6.5 mm in the Shihmen reservoir watershed, which is equivalent to 90.6 t ha−1 yr−1 of soil erosion.

show abstract

Section: Introductionmentioning

confidence: 99%

Soil Erosion Modeling and Comparison Using Slope Units and Grid Cells in Shihmen Reservoir Watershed in Northern Taiwan

Liu

Chen

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…India has a total geographical area of 329 million ha out of which 157 million ha (47.7%) has the land degradation problem (Singh & Panda, 2017). The average annual soil erosion in India is about 16 ton/ha or about 5 billion tons annually (Saroha, 2017).…”

Section: Introductionmentioning

confidence: 99%

The impact of land use dynamics on the soil erosion in the Panchnoi River Basin, Northeast India

Jaiswal¹,

Amin²

2020

J geographical I JC

View full text Add to dashboard Cite

Land use (LU) dynamics and its relation to the accelerated soil erosion phenomenon in two broad geomorphic divisions of the Panchnoi River basin of Northeast India have studied. The present study was based on the Revised Universal Soil Loss Equation (RUSLE). To measure the impact of the LU dynamics on soil erosion, the basin was divided into two broad geomorphic divisions, i.e., plain zone and hilly zone, and the rate of soil erosion has been estimated separately for both of the geomorphic divisions. It has been found that in the plain zone, LU dynamics significantly accelerated soil erosion-from 0.52 ton/ha/yr in 1990 to 0.94 ton/ha/yr in 2015. Similarly, the vegetation density decreased significantly in the mountainous and hilly zone as the mean Normalized Difference Vegetation Index (NDVI) value changed from 0.45 in 1990 to 0.35 in 2015, which accelerated soil erosion from 12.06 ton/ha/yr to 18.30 ton/ha/yr from 1990 to 2015. The study indicates that soil erosion may give rise to a severe environmental as well as economic problem in the Panchnoi river basin, which may trigger issues related to the soil fertility of the basin area.

show abstract

“…Remote sensing studies of dust sources by Prospero (2002) showed that major dust sources were originated from deep alluvial deposits formed by intermittent flooding during the Quaternary and Holocene epoch and produced wind-erodible sediments (Ginoux et al 2012). As half of the topsoil on the earth has been lost in the last 150 years (FAO and ITPS 2015), there is reduction in soil availability thus affecting the soil carrying capacity (Adgo et al 2013;Jaiswal et al 2014;Singh and Panda 2017) as well as the degradation of water quality downstream due to sediment deposition (Welde 2016;Singh and Panda 2017). In this concern, the present study has a major focus on the soil erosion analysis of the Shivganga watershed.…”

Section: Introductionmentioning

confidence: 99%

Identification of erosion-prone areas using modified morphometric prioritization method and sediment production rate: a remote sensing and GIS approach

Kadam

Jaweed

Kale

et al. 2019

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Watersheds from semiarid zones are sensitive to land degradation processes wherein the morphometric investigation is an important aspect to unwrap the susceptible areas. Hence it is a prerequisite for the assessment of erosional pattern of the watershed. Thus, based on the response to erosional processes, prioritization task has been undertaken for fourteen sub-watersheds from basaltic region of Western Ghats of India. A morphometry-based framework using weighted sum analysis (WSA) coupled with the remote sensing data, field data and topographical maps were generated on geographical information system (GIS) platform to estimate the soil erosion susceptibility. The study also evaluates the performance of this new methodology by considering the sediment production rate (SPR) of these sub-watersheds. The resultant WSA-SPR model has prioritized the study area into high, moderate low and very low categories. The high and moderate priority areas lie in the proximity of outlet, upper elevated and undulating terrain of the watershed. It represents 41.38% of the total area covering SW1, 3, 13 and 14 sub-watersheds. This study proposes a useful tool to define areas for planning the strategies to control soil erosion and promote soil conservation. ARTICLE HISTORY

show abstract

Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: A case study in the Kapgari watershed, India

Cited by 111 publications

References 43 publications

Soil Erosion Modeling and Comparison Using Slope Units and Grid Cells in Shihmen Reservoir Watershed in Northern Taiwan

Soil Erosion Modeling and Comparison Using Slope Units and Grid Cells in Shihmen Reservoir Watershed in Northern Taiwan

The impact of land use dynamics on the soil erosion in the Panchnoi River Basin, Northeast India

Identification of erosion-prone areas using modified morphometric prioritization method and sediment production rate: a remote sensing and GIS approach

Contact Info

Product

Resources

About