Estimates of soil loss in a GIS environment using different sources of topographic data

USLE (Universal Soil Loss Equation) is the original and the most widely accepted soil loss estimation technique till date which has evolved from a design tool for conservation planning to a research methodology all across the globe. The equation has been revised and modified over the years and became a foundation for several new soil loss models developed all around the world. The equation has been revised as RUSLE by Renard et al. (1991) and is computed in GIS environment. The Revised equation is landuse independent which makes it a useful technique to apply in a variety of environment. The present paper is an attempt to estimate soil loss from a semi-arid watershed in Western Deccan, India by employing RUSLE. The region is a rocky terrain and sediments are restricted to only a few localities. The result indicates that the region is at the threshold of soil tolerance limit.

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Multitemporal analysis of estimated soil loss for the river Mourão watershed, Paraná – Brazil

Brazilian Journal of Biology ◽

10.1590/1519-6984.00613suppl ◽

2015 ◽

Vol 75 (4 suppl 2) ◽

pp. 120-130 ◽

Cited By ~ 3

Author(s):

C. H. Graça ◽

F. H. Passig ◽

A. R. Kelniar ◽

M. A. Piza ◽

K. Q. Carvalho ◽

...

Keyword(s):

Soil Loss ◽

Water Erosion ◽

Surface Erosion ◽

Western Region ◽

Land Uses ◽

Geography Information System ◽

Hydrographic Basin ◽

Gis Environment ◽

Geography Information ◽

Soil Loss Equation

The multitemporal behavior of soil loss by surface water erosion in the hydrographic basin of the river Mourão in the center-western region of the Paraná state, Brazil, is analyzed. Forecast was based on the application of the Universal Soil Loss Equation (USLE) with the data integration and estimates within an Geography Information System (GIS) environment. Results had shown high mean annual rain erosivity (10,000 MJ.mm.ha–1.h–1.year–1), with great concentration in January and December. As a rule, soils have average erodibilities, exception of Dystroferric Red Latisol (low class) and Dystrophic Red Argisol (high class). Although the topographic factor was high (>20), rates lower than 1 were predominant. Main land uses comprise temporal crops and pasture throughout the years. The watershed showed a natural potential for low surface erosion. When related to usage types, yearly soil loss was also low (<50 ton.ha–1.year–1), with more critical scores that reach rates higher than 150 ton.ha–1.year–1. Soil loss over the years did not provide great distinctions in distribution standards, although it becames rather intensified in some sectors, especially in the center-eastern and southwestern sections of the watershed.

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Assessing the impact of different sources of topographic data on 1-D hydraulic modelling of floods

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-11-7375-2014 ◽

2014 ◽

Vol 11 (7) ◽

pp. 7375-7408 ◽

Cited By ~ 1

Author(s):

A. Md Ali ◽

D. P. Solomatine ◽

G. Di Baldassarre

Keyword(s):

Thermal Emission ◽

Low Cost ◽

Water Levels ◽

Flood Inundation ◽

Model Accuracy ◽

Hydraulic Models ◽

Topographic Data ◽

Ground Survey ◽

The Impact ◽

Different Sources

Abstract. Topographic data, such as digital elevation models (DEMs), are essential input in flood inundation modelling. DEMs can be derived from several sources either through remote sensing techniques (space-borne or air-borne imagery) or from traditional methods (ground survey). The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), the Shuttle Radar Topography Mission (SRTM), the Light Detection and Ranging (LiDAR), and topographic contour maps are some of the most commonly used sources of data for DEMs. These DEMs are characterized by different precision and accuracy. On the one hand, the spatial resolution of low-cost DEMs from satellite imagery, such as ASTER and SRTM, is rather coarse (around 30–90 m). On the other hand, LiDAR technique is able to produce a high resolution DEMs (around 1m), but at a much higher cost. Lastly, contour mapping based on ground survey is time consuming, particularly for higher scales, and may not be possible for some remote areas. The use of these different sources of DEM obviously affects the results of flood inundation models. This paper shows and compares a number of hydraulic models developed using HEC-RAS as model code and the aforementioned sources of DEM as geometric input. The study was carried out on a reach of the Johor River, in Malaysia. The effect of the different sources of DEMs (and different resolutions) was investigated by considering the performance of the hydraulic models in simulating flood water levels as well as inundation maps. The outcomes of our study show that the use of different DEMs has serious implications to the results of hydraulic models. The outcomes also indicates the loss of model accuracy due to re-sampling the highest resolution DEM (i.e. LiDAR 1 m) to lower resolution are much less compared to the loss of model accuracy due to the use of low-cost DEM that have not only a lower resolution, but also a lower quality. Lastly, to better explore the sensitivity of the hydraulic models to different DEMs, we performed an uncertainty analysis based on the GLUE methodology.

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Soil Vulnerability Assessment of Afikpo South Local Government Area, Ebonyi State, Nigeria

International Journal of Environment and Climate Change ◽

10.9734/ijecc/2019/v9i430112 ◽

2019 ◽

pp. 248-256

Author(s):

Okonufua Endurance ◽

Olajire O. Olabanji ◽

Ojeh N. Vincent ◽

Christiana Ovie Akpoduado ◽

Joshua Maaku Mark

Keyword(s):

Local Government ◽

Soil Loss ◽

Landsat 8 ◽

Landsat 8 Oli ◽

Soil Resources ◽

Gis Environment ◽

Using Data ◽

Steep Slopes ◽

Conservation And Management ◽

Soil Loss Equation

Remote Sensing and Geographic Information System (GIS) integrated with the Revised Universal Soil Loss Equation (RUSLE) was adopted to estimate the rate of annual soil loss in Afikpo South Local Government. This is important due to the fact that agriculture is the main source of livelihood in the area. The RUSLE factors were computed using data such as rainfall from NIMET, Soil from FAO, elevation from SRTM and Landsat 8 OLI from USGS. The data were used as input in a GIS environment and the annual soil loss was generated using the RUSLE equation. The result shows that the average annual soil loss ranges from 0 to 155, 858 ha/ton/yr. It was also observed that soil erosion was predominant in the southern part of Afikpo South LGA due to the presence of steep slopes in the area. The study serves as preliminary documentation for planning, conservation and management of soil resources in the Local Government.

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Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil

RBRH ◽

10.1590/2318-0331.252020190108 ◽

2020 ◽

Vol 25 ◽

Author(s):

Fernando Campo Zambrano ◽

Masato Kobiyama ◽

Marco Alésio Figueiredo Pereira ◽

Gean Paulo Michel ◽

Fernando Mainardi Fan

Keyword(s):

Cross Sections ◽

Field Survey ◽

Flood Mapping ◽

Mean Velocity ◽

Topographic Data ◽

Digital Elevation ◽

Wetted Area ◽

Elevation Model ◽

Best Fit ◽

Different Sources

ABSTRACT Generally, the base for any flood mapping is the topography information whose resolution determines the map accuracy. Furthermore, river bathymetry in detail and the type of used model are also relevant. Therefore, the objective of the present study was to evaluate the influence of different sources of topographic data on the flood mapping by using the CAESAR-Lisflood model and three Digital Elevation Model (DEM) configurations, among which two were freely available, and the other was generated with field survey (topography and bathymetry). First, the resolution and precision of each DEM were evaluated, from the comparison of different cross-sections, besides the variation of the wetted area and absolute value of the relative error in mean velocity as a function of depth. Subsequently, after elaborating flood maps with each DEM, the results were compared in terms of flood area, mean flood width and flow depth. It is observed that the more accurate resolution, the smaller the flood area becomes. The flood map elaborated with the DEM through field survey had the best fit to the observed area. However the relation between the topographic resolutions and flow-depths was not clear in obtained results.

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AVALIAÇÃO MULTITEMPORAL DAS PERDAS DE SOLOS NA BACIA DO RIO TAQUARIZINHO-MS

Boletim Paranaense de Geociências ◽

10.5380/geo.v52i0.4200 ◽

2003 ◽

Vol 52 ◽

Cited By ~ 3

Author(s):

Antonio Conceição Paranhos Filho ◽

Alberto Pio Fiori ◽

Leonardo Disperati ◽

Cristiane Lucchesi ◽

Alessandro Ciali ◽

...

Keyword(s):

River Basin ◽

Soil Loss ◽

Soil Cover ◽

Conservation Practices ◽

Climate Data ◽

Mato Grosso ◽

Multi Temporal ◽

The Mean ◽

Gis Environment ◽

Mato Grosso Do Sul

O ambiente SIG (Sistema de Informações Geográficas) é o ideal para integrar dados, informações e cartas de naturezas diferentes. Por exemplo, dados climáticos e cartas topográficas ou de solos podem ser analisados em conjunto, levando toda a informação para uma base comum, o que permite a sua integração e uso. A Equação Universal de Perdas dos Solos (EUPS ou USLE) é atualmente utilizada, com sucesso, como uma forma para a avaliação da perda dos solos por erosão laminar e foi aplicada para a Bacia do Rio Taquarizinho (ao Sul de Coxim, Mato Grosso do Sul), região que apresentou grandes modificações no tipo de uso e ocupação do solo no período analisado. Neste trabalho são apresentados os parâmetros envolvidos com a USLE, alguns obtidos da digitalização de cartas temáticas e tabelas como de Erosividade das chuvas (R), Erodibilidade do solo (K) ou Uso e Manejo do Solo e Práticas Conservacionistas (CP) e outros, como Comprimento (L) e Declividade de vertentes (S,) obtidos em ambiente SIG, através de dados topográficos. O ambiente SIG permitiu a completa integração entre os dados para a obtenção dos parâmetros da USLE e os resultados. Para a Bacia do Rio Taquarizinho a USLE foi aplicada em três diferentes momentos: 1966, 1985 e 1996. Esta aplicação multitemporal mostrou a tendência evolutiva do processo erosivo na região. Para os valores absolutos da taxa de erosão laminar dos solos, de 1966 a 1996, em alguns locais, o desmatamento implicou num aumento da taxa de erosão laminar dos solos em mais de 50 vezes. As perdas médias anuais de solo por erosão laminar foram representadas por valores médios, para toda a Bacia do Taquarizinho, de 4,44 ton/ha. para 1966, de 5,53 ton/ha. para 1985 e de 8,65 ton/ha. para 1996. MULTITEMPORAL EVALUATION OF SOIL LOSS IN THE TAQUARIZINHO BASIN, MATO GROSSO DO SUL - BRAZIL Abstract The GIS - Geographic Information System environment is ideal for integrating data, information and different kinds of maps. For example, climate data and topographic or soil cover maps can be analyzed together, bringing all the information into a common base, thus permitting integration and use. The Universal Soil Loss Equation (USLE) is currently used successfully as a form of evaluating soil loss via laminar erosion, and it was applied to the Taquarizinho River Basin (to the south of Coxim, Mato Grosso do Sul State), a region which showed great changes in the type of use and occupation of the soil during the period analyzed. In the present work are presented the parameters involved in the USLE, some obtained from the digitalization of thematic maps and tables, such as the Rain Erosive Potential (R), Soil Erodability (K), and Cover and Management of the Soil and Conservation Practices (CP), and others, such as Length (L) and Slope Declivity (S), obtained from the GIS environment, from topographic data. The GIS environment permitted a complete integration between the data used to obtain the USLE parameters, and the results. For the Taquarizinho River Basin, the USLE was applied to three different periods: 1966, 1985 and 1996. This multi-temporal application showed a tendency of evolving erosion in the region. Calculations of the absolute values of rates of laminar erosion of the soils indicate that deforestation has lead to an increase of more than fifty times in such erosion, from 1966 to 1996. The mean annual losses of soil from laminar erosion for the entire Taquarizinho River Basin are calculated to have been 4.44 ton/ha in 1996, 5.53 ton/ha in 1985, and 8.65 ton/ha in 1996.

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Soil Erosion Analysis in a Small Forested Catchment Supported by ArcGIS Model Builder

Acta Silvatica et Lignaria Hungarica ◽

10.2478/v10303-012-0004-5 ◽

2012 ◽

Vol 8 (1) ◽

pp. 39-56 ◽

Cited By ~ 15

Author(s):

Péter Csáfordi ◽

Andrea Pődör ◽

Jan Bug ◽

Zoltán Gribovsyki

Keyword(s):

Soil Erosion ◽

Soil Loss ◽

Stream Network ◽

Erosion Risk ◽

Forested Catchment ◽

Model Builder ◽

Land Covers ◽

Gis Environment ◽

Area Unit ◽

Stream Lines

Abstract - To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other USLE-factors. The third submodel estimates soil loss, and creates zonal statistics of soil erosion. The fourth submodel classifies soil loss into categories enabling the comparison of modelled and observed soil erosion. The framework was applied in a small forested catchment in Hungary. Although there is significant deviation between the erosion of different land covers, the predicted specific soil loss does not increase above the tolerance limit in any area unit. The predicted surface soil erosion in forest subcompartments mostly depends on the slope conditions.

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A procedure to manage open access data for post-processing in GIS environment

10.7287/peerj.preprints.27227 ◽

2018 ◽

Cited By ~ 1

Author(s):

Lorenzo Benvenuto ◽

Roberto Marzocchi ◽

Ilaria Ferrando ◽

Bianca Federici ◽

Domenico Sguerso

Keyword(s):

Open Access ◽

Data Management ◽

Meteorological Data ◽

Post Processing ◽

Grass Gis ◽

Open Access Data ◽

Management Procedure ◽

Gis Environment ◽

Access Data ◽

Different Sources

DataBases (DB) are a widespread source of data, useful for many applications in different scientific fields. The present contribution describes an automatic procedure to access, download and store open access data from different sources, to be processed in a GIS environment. In particular, it refers to the specific need of the authors to manage both meteorological data (pressure and temperature) and GNSS (Global Navigation Satellite System) Zenith Total Delay (ZTD) estimates. Such data allow to produce Precipitable Water Vapor (PWV) maps, thanks to the so called GNSS for Meteorology(G4M) procedure, developed through GRASS GIS software ver. 7.4, for monitoring in time and interpreting severe meteorological events. Actually, the present version of the procedure includes the meteorological pressure and temperature data coming from NOAA’s Integrated Surface Database (ISD), whereas the ZTD data derive from the RENAG DB, that collects ZTD estimates for 181 GNSS Permanent Stations (PSs) from 1998 to 2015 in the French-Italian boundary region. Several Python scripts have been implemented to manage the download of data from NOAA and RENAG DBs, their import on a PostgreSQL/PostGIS geoDB, besides the data elaboration with GRASS GIS to produce PWV maps. The key features of the data management procedure are its scalability and versatility for different sources of data and different contexts. As a future development, a web-interface for the procedure will allow an easier interaction for the users both for post-processing and real-time data. The data management procedure repository is available at https://github.com/gtergeomatica/G4M-data

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RUSLE Model Based Annual Soil Loss Quantification for Soil Erosion Protection: A Case of Fincha Catchment, Ethiopia

Air Soil and Water Research ◽

10.1177/11786221211046234 ◽

2021 ◽

Vol 14 ◽

pp. 117862212110462

Author(s):

Meseret Wagari ◽

Habtamu Tamiru

Keyword(s):

Soil Erosion ◽

Soil Loss ◽

Physical Factors ◽

Rainfall Erosivity ◽

Rusle Model ◽

Raster Calculator ◽

Gis Environment ◽

Elevation Model ◽

The Individual ◽

P Factor

In this study, Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) platforms were successfully applied to quantify the annual soil loss for the protection of soil erosion in Fincha catchment, Ethiopia. The key physical factors such as rainfall erosivity ( R-factor), soil erodibility ( K-factor), topographic condition (LS-factor), cover management ( C-factor), and support practice ( P-factor) were prepared in GIS environment from rainfall, soil, Digital Elevation Model (DEM), Land use/Land cover (LULC) respectively. The RUSLE equation was used in raster calculator of ArcGIS spatial tool analyst. The individual map of the derived factors was multiplied in the raster calculator and an average annual soil loss ranges from 0.0 to 76.5 t ha−1 yr−1 was estimated. The estimated annual soil loss was categorized based on the qualitative and quantitative classifications as Very Low (0–15 t ha−1 yr−1), Low (15–45 t ha−1 yr−1), Moderate (45–75 t ha−1 yr−1), and High (>75 t ha−1 yr−1). It was found from the generated soil erosion severity map that about 45% of the catchment area was vulnerable to the erosion with an annual soil loss of (>75 t ha−1 yr−1), and this demonstrates that the erosion reduction actions are immediately required to ensure the sustainable soil resources in the study area. The soil erosion severity map generated based on RUSLE model and GIS platforms have a paramount role to alert all stakeholders in controlling the effects of the erosion. The results of the RUSLE model can also be further considered along with the catchment for practical soil loss protection practices.

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