Application of USLE in a GIS environment to estimate soil erosion in the Irga watershed, Jharkhand, India

Roy, Poushali

doi:10.1080/02723646.2018.1550301

Cited by 21 publications

(13 citation statements)

References 34 publications

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“…However, Williams and Berndt (1972) highlighted that the average slope of the stream channel is more significant than other parameters in estimating SDR for data-limited sites. This equation has also applied and achieved a reasonable prediction performance in the Blue Nile basin, northwestern part of Ethiopia (Kidane et al 2019); in Irga watershed in Jharkhand, India (Roy 2019), and in Kalu Ganga basin, Sri Lanka (Panditharathne et al 2019). Given this, the current study also adopted the model developed by Williams and Berndt (1972) and shown in Eq.…”

Section: Sediment Yield Estimationmentioning

confidence: 93%

“…In the soil erosion and deposition pathway, however, not all the eroded particles are always delivered into the receiving medium (channels, water bodies, or floodplain), rather only a portion of it could reach at the catchment outlet (Tamene et al 2017;Thomas et al 2018;Kidane et al 2019;Panditharathne et al 2019). Therefore, determination of Sediment Delivery Ratio (SDR) is a prime precaution to quantify sediment yield (Roy 2019). By taking this into account, various SDR equations ranging from simple (empirical) to complex (physically based) equations have been developed and used by different researchers (Williams and Berndt 1972;De Vente et al 2006;Diodato and Grauso 2009;Lee and Lee 2010).…”

Section: Sediment Yield Estimationmentioning

confidence: 99%

“…Worldwide, soil erosion is one of the biggest environmental challenges owing to its wide range of on-site and off-site adverse impacts (Kumar and Debjyoti 2010;Roy 2019). It significantly impairs the land productivity and results in loss of farm income and food insecurity by degrading the nutrient-rich topsoil cover of the land in many countries (Tamene et al 2017;Belayneh et al 2018;Miheretu and Yimer 2018).…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

et al. 2021

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Purpose Understanding the spatial dynamics of soil loss (SL) and sediment yield (SY) from ungauged watersheds would have a profound importance to devise informed land resource and flood management strategies. Such information particularly substantial for rivers like Koshi, that typically causing severe land degradation and frequent devastating flood risks to large number of inhabitants in the basin. This study aimed to estimate the spatial heterogeneity of mean annual SL and SY in Triyuga river watershed (TRW) and delivers into Sapta-Koshi. Materials and methodsThe Revised Universal Soil Loss Equation (RUSLE) and Slope-based Sediment Delivery Ratio (SDR) models along with Geographic Information System (GIS) and remote sensing techniques were applied. Results and discussionThe mean SL and SY were found to be 31 and 3.04 t/ha/year, respectively. Accordingly, an estimated 2.2 × 10 5 tons of sediment was delivered into the Sapta-Koshi river annually. In this watershed, nearly 62% of the area is under the category of high to very severe soil loss rate (SLR), which together accounted for 96% of the total SL in the TRW. The critical SLR was mostly distributed along the northern escarpment of the study area. Most of the sloping areas in the northwestern and some patches of the northeastern tip regions that accompany with slope class > 26.8% are particularly vulnerable to severe SL and SY in the TRW. In this regard, the RUSLE LS factor has played the significant (r = 0.88, p < 0.001) impact over other RUSLE factors. Conclusion High elevation and steep slope class in the northwestern and northeastern parts of the watershed are the major SL and SY hotspot sites that require special attention and priority for conservation interventions in the TRW.

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Section: Sediment Yield Estimationmentioning

confidence: 93%

Section: Sediment Yield Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

et al. 2021

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“…Regarding methodologies applied for the network design, optimization approaches are increasingly used in network design, since optimally locating hydrometric stations can be seen as a multiobjective optimization problem where several criteria need to be satis ed simultaneously (Li et al 2012). The advantage of multiobjective optimization and multicriteria analysis (MCA) is their provision of different feasible solutions under different scenarios (Alfonso et al 2010), and this capability is signi cant for a variety of applications such as the soil erosion estimation (e.g., Roy 2019), and generally for applications incorporating surface characteristics and land use planning (e.g., Hill et al 2009). Especially for studies relevant to station network design, Volkmann et al (2010) postulate the need for optimization methods in regions where guidelines cannot be applied with con dence a priori.…”

Section: Introductionmentioning

confidence: 99%

Hydrometeorological - Hydrometric Station Network Design Using Multicriteria Decision Analysis and GIS Techniques

Theochari¹,

Feloni²,

Bournas³

et al. 2021

Environ. Process.

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The design of an optimum hydrometeorological and hydrometric station network constitutes a key factor for the collection of comprehensive and reliable hydrometeorological and ow data that are necessary both for decision making in water resources policy and management and for the hydrometeorological risk assessment. This article describes a methodology developed in a geographic information system (GIS) assisted by a multicriteria decision making (MCDM) approach, which combines a set of spatial criteria in order to propose suitable locations for such a station network installation. Through the design for two networks that meet different requirements, various aspects concerning this methodology are illustrated, such as, the methods regarding criteria classi cation and weighting, as well as, the effect of weighting itself on the location rating. In particular, the implementation is performed for the Sarantapotamos river basin, an area located in the western part of Attica region, Greece, which is characterized by a great diversity of economic activities, mainly industrial, rural and urban fabric in the lowlands. Finally, the analysis indicates that, in terms of station density as proposed by the World Meteorological Organization (WMO), the optimum hydrometeorological station network consists of three stations and the hydrometric one of two stations.

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“…The soil management system is closely associated with water-regulating functions; however, increases in soil erosion caused by heavy rain, as well as landform features like topography at the watershed scale, can potentially modify evapotranspiration, infiltration, and some water regulation processes [16]. Moreover, soil erosion can reduce cropping productivity, cause water quality deterioration, and increase the probability of flooding and reservoir sedimentation, which interferes with the effective utilization of water at the site of interception [17,18]. The regulation of ESs in the upper reaches of watersheds may be critical to the optimization and economic viability of a downstream river infrastructure [19].…”

Section: Introductionmentioning

confidence: 99%

Ecosystem Services under Climate Change Impact Water Infrastructure in a Highly Forested Basin

Zhang

O’Connor

et al. 2020

Water

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Climate change can have critical impacts on ecosystem services (ESs) and their inter-relationships, especially for water-related services. However, there has been little work done on characterizing the current and future changes in these services and their inter-relationships under a changing climate. Based on the revised universal soil loss equation (RUSLE), the soil conservation service curve number model (SCS-CN), and the improved stochastic weather-generator-based statistical downscaled global climate models (GCMs), we examined two important water-related services, namely, the soil conservation (SC) service and the flood mitigation (FM) service, and their inter-relationship under baseline and future climate scenarios (Representative Concentration Pathways (RCPs) 4.5 and 8.5). We took the Upper Hanjiang River Basin (UHRB), which is the core water source area of the China’s South-to-North Water Diversion Project (S–NWDP), as an illustration. The findings revealed that (1) the SC and FM services will both decrease under the two climate scenarios examined; (2) the SC and FM services showed a significant synergistic inter-relationship and the synergy will be improved by 16.48% and 2.95% under RCP 4.5 and RCP 8.5, respectively, which provides an opportunity for management optimization; (3) the ecological degradation in the UHRB will likely have serious consequences for the middle and lower reaches of the Hanjiang river basin, and therefore impact the actual economic benefits of the S–NWDP. This study points to the necessity for understanding the dynamic changes and inter-relationships of ecosystem services under future climate change and provides information regarding the consequences of climate change, which is useful for policy and infrastructure investment.

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Application of USLE in a GIS environment to estimate soil erosion in the Irga watershed, Jharkhand, India

Cited by 21 publications

References 34 publications

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

Hydrometeorological - Hydrometric Station Network Design Using Multicriteria Decision Analysis and GIS Techniques

Ecosystem Services under Climate Change Impact Water Infrastructure in a Highly Forested Basin

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