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

Majhi, Anindya; Shaw, Rohit; Mallick, Kunal; Patel, Priyank Pravin

doi:10.1016/j.earscirev.2021.103786

Cited by 33 publications

(13 citation statements)

References 125 publications

(200 reference statements)

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“…Disagreement remains in the literature surrounding the appropriate equations to use, and which exact units were used by Arnoldus [1977] (see Majhi et al [2022], Chen & Bezak [2022], Mahji et al [2021], Renard and Freimund [1994]). In this study I have not converted the raw MFI values, since the intention is to contrast the relative correlations with the R factor estimates from higher frequency rainfall data and ground-based analyses.…”

Section: Calculating Rainfall Erosivitymentioning

confidence: 99%

Dynamic Rainfall Erosivity Estimates Derived from GPM IMERG data

Emberson

2023

Preprint

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Abstract. Soil degradation is a critical threat to agriculture and food security around the world. Understanding the processes that drive soil erosion is necessary to support sustainable management practices and to reduce eutrophication of water systems from fertilizer runoff. The erosivity of precipitation is a primary control on the rate of soil erosion, but to calculate erosivity high frequency precipitation data is required. Prior global scale analysis has almost exclusively used ground-based rainfall gauges to calculate erosivity, but the advent of high frequency satellite rainfall data provides an opportunity to estimate erosivity using globally consistent gridded satellite rainfall. In this study, I have tested the use of GPM IMERG rainfall data to calculate global rainfall erosivity. I have tested three different approaches to assess whether simplification of IMERG data allows for robust calculation of erosivity, finding that the highest frequency 30-minute data is needed to best replicate gauge-based estimates. I also find that in areas where ground-based gauges are sparse, there is more disparity between the IMERG derived estimates and the ground-based results, suggesting that IMERG may allow for improved erosivity estimates in data-poor areas. The global extent and accessibility of IMERG data allows for regular calculation of erosivity on a month-to-month timeframe, permitting improved dynamic characterisation of rainfall erosivity across the world in near-real time. These results demonstrate the value of satellite data to assess the impact of rainfall on soil erosion and may benefit practitioners of sustainable land management planning.

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Section: Calculating Rainfall Erosivitymentioning

confidence: 99%

Dynamic Rainfall Erosivity Estimates Derived from GPM IMERG data

Emberson

2023

Preprint

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“…The transport process modules include four aspects: surface runoff, subsurface runoff, soil erosion, and buffer strip retention. The Soil Conservation Services-Curve Number method (soil conservation service curve number, SCS-CN) was used for the calculation of the runoff index [37], while the VSA-CN was used as the engine to calculate the subsurface runoff [38], and the USLE equation was used to calculate the soil erosion [18]. The buffer strip retention (RI) is defined as follows.…”

Section: The Transport Process Modulesmentioning

confidence: 99%

“…To capture this complex process, this study proposes a coupled PTRE-NPS model with five modules: a rainfall module, a terrain module, a transportation module, a leaching module, and a retention module. The transportation mechanism of pollutants has been widely researched [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Agricultural NPS are affected by the spatial distribution of rainfall and can vary with different rainfalls in different regions in the same year [21,22].…”

Section: Introductionmentioning

confidence: 99%

Redefining and Calculating the Pass-through Rate Coefficient of Nonpoint Source Pollutants at Different Spatial Scales

Wang

Geng

2022

Water

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Accurately converting nonpoint source pollution loads from the watershed scale to administrative scale is challenging. A promising solution is calculating the pass-through rate coefficient of nonpoint source pollutants (PTRE–NPS) at the watershed scale and discretizing the watershed units on grids with the same area but with different PTRE–NPS information. However, the pollution load of agricultural nonpoint sources has received far more attention than the PTRE–NPS. Moreover, as most of the existing PTRE–NPS results are obtained by distributed, semi-distributed models and the field monitoring of small watersheds, they are not easily extended to the national-scale management of nonpoint source pollution. The present study proposes a new conception of PTRE-NPS and tests it on different spatial scales by a coupled model, which captures the entry of agricultural nonpoint source pollutants into rivers and lakes. The framework includes five major modules: a pollutant driving and loss module, a surface runoff module, a soil erosion module, a subsurface runoff module, and a retention module. The model was applied in simulations of agricultural nonpoint source pollution in the Hongfenghu reservoir watershed with a karst hydro-geomorphology, which exists in the mountainous region of southwest China. On the watershed scale, the PTRE–NPS of total nitrogen (TN) and total phosphorous (TP) ranged from 0 to 2.62 (average = 0.18) and from 0 to 3.44 (average = 0.19), respectively. On the administrative scale, the PTRE–NPS of TN and TP were highest in Baiyun Town. The TN and TP loads of the agricultural nonpoint source pollution in the rivers and lakes of the Hongfenghu reservoir watershed were 1707.78 and 209.03 t, respectively, with relative errors of −45.36% and 13.07%, respectively. Most importantly, the developed framework can scientifically represent the generation–migration–transmission process of agricultural nonpoint source pollutions in each grid at both the watershed and administrative scales.

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“…In literature (e.g., Mancino et al, 2016;Majhi et al, 2021;Amini et al, 2021;Santos Alves et al, 2022) there are several semiquantitative methods developed for assessing erosion and sediment yield at the catchment scale (e.g., USLE, RUSLE, PSIAC, FSM, FLORENCE…).…”

Section: Introductionmentioning

confidence: 99%

Approaches for the sustainable management of the Apulian coastal areas: the potential of a geoportal

Tenuta¹,

Dominici²,

Donato³

et al. 2023

ROL

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In order to identify the most suitable strategies and to support territorial decisionmaking processes, it is necessary to operate with an integrated vision of coastal systems, considering the complex phenomena of sediment production, erosion and subsequent transport from the supply systems to the coastal areas.In this work we propose a new approach to the management of the Apulian coastal areas based on a sustainable and low impact management of sediments and integrated with a WebGIS-based system. The webgis platform was developed to allow interactive and intuitive navigation between the different layers. The platform allows to identify the municipal / provincial / regional territory of interest and to identify the areas characterized by greater or lesser sediment production.The result is the creation of a webgis platform, which allows to identify, in the territorial planning process, the strategic areas for sediment production, and consequently to minimize the impact of the sediment deficit for the coastal system. This approach therefore represents a low-impact solution that will make it possible to mitigate the risk of coastal erosion and increase the resilience of coastal systems, also in consideration of the ongoing climate changes.

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

Cited by 33 publications

References 125 publications

Dynamic Rainfall Erosivity Estimates Derived from GPM IMERG data

Dynamic Rainfall Erosivity Estimates Derived from GPM IMERG data

Redefining and Calculating the Pass-through Rate Coefficient of Nonpoint Source Pollutants at Different Spatial Scales

Approaches for the sustainable management of the Apulian coastal areas: the potential of a geoportal

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