3 edition of Modelling surface runoff and soil erosion in catchments using geographical information systems found in the catalog.
Modelling surface runoff and soil erosion in catchments using geographical information systems
A. P. J. de Roo
by Koninklijk Nederlands Aardrijkskundig Genootschap, Faculteit Ruimtelijke Wetenschappen, Rijksuniversiteit Utrecht in [Amsterdam], Utrecht
Written in English
|Statement||A.P.J. de Roo.|
|Series||Nederlandse geografische studies =, Netherlands geographical studies,, 157, Nederlandse geografische studies ;, 157.|
|Contributions||Rijksuniversiteit te Utrecht. Faculteit Ruimtelijke Wetenschappen.|
|LC Classifications||GB980 .R66 1993|
|The Physical Object|
|Pagination||295 p. :|
|Number of Pages||295|
|LC Control Number||94133135|
Assessment of soil redistribution at catchment scale by coupling a soil erosion model and a sediment connectivity index (central spanish pre-pyrenees) The study and quantification of soil redistribution is a complex and difficult task and even a non-solved question at catchment scale both in field and numerical simulation studies. This article proposes the use of a new model, DIAR (Diagnostic Agronomique du Ruissellement, or Agronomic Assessment of Runoff), for the prediction of the timing of the risk of runoff. DIAR is dedicated to loamy soils which are very sensitive to surface crusting, leading to runoff, soil erosion and muddy flows. The approach is proposed for the north-western European loess belt regions where.
EARTH SURFACE PROCESSES AND LANDFORMS, VOL () MODELLING ROAD SURF ACE SEDIMENT PRODUCTION USING A VECTOR GEOGRAPHIC INFORMATION SYSTEM DONALD M. ANDERSON1* AND LEE H. MACDONALD2 JCooperative lnstitutefor Research in Environmental Sciences, University ofColorado,Boulder, Colorado , USA. This study was aimed to estimate soil loss in Gilgel Gibe-1 catchment by GIS-based RUSLE model and prioritize sub-watersheds for soil conservation planning. Both primary and secondary data from different sources were used in this study. The amount of soil loss from the catchment is estimated with GIS-based RUSLE model which uses the rainfall-runoff erosivity, soil erodibility, topographic.
Estimation of soil erosion using field and modelling approaches in an undisturbed Arnhem Land catchment, Northern Territory, Australia, Geographical Research, in press. Hancock GR, Lowry JBC, Coulthard TJ, Evans KG, Moliere DR. Developments in geographical information systems J.C. Physically-based distributed modelling of an upland catchment using the Système hydrologique européen. Journal of Hydrol P.A. Soil erosion modelling using ANSWERS and geographical information systems. Earth Surface Processes and Landfo
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Modelling surface runoff and soil erosion in catchments using geographical information systems: validity and applicability of the 'ANSWERS' model in two catchments in the loess area of South Limburg (The Netherlands) and one in Devon (UK).
The linkage of the model ANSWERS and a Geographical Information System to simulate surface runoff and soil erosion is described. The GIS can be used to provide (such as slope and aspect), store, change, and display data needed for simulation models.
Conservation scenarios can be designed within the GIS and evaluated by the by: The Modjo watershed has experienced significant land use/land cover (LULC) change and soil erosion.
This study examines changes in surface runoff generation and soil erosion in response to the LULC dynamics. To simulate runoff and sediment yield, the geographic information system‐interfaced Soil and Water Assessment Tool (SWAT) model was used. Land use and different vegetation cover can respond differently to this scenario, mitigating or enhancing soil erosion.
Here, by means of a sensitivity analysis of the PESERA soil erosion model, we test the potential for climate and vegetation to impact soil loss by surface-runoff to three differentiated British : R. Ciampalini, R. Ciampalini, J.A. Constantine, K.J. Walker-Springett, T.C.
Hales, S.J. Ormerod, I.R. De Roo APJ () Modeling surface runoff and soil erosion in catchments using Geographical Information Systems; Validity and applicability of the ‘ANSWERS’ model in two catchments in the loess area of South Limburg (The Netherlands) and one in Devon (UK).
Netherlands Geographical Studies, Utrecht pp Google ScholarCited by: 1. Geographical Information Systems (GIS) provide a much-favoured tool in regional soil erosion studies in South Africa (Le Roux et al., ). Such tools facilitate the upscaling of plot-scale soil loss predictions to a catchment or bigger by: 4.
Storm runoff was increased by 6%, while storm soil loss was reduced by 9%. Land management changes also triggered shifts in annual runoff and soil erosion: Clear-cut (+% runoff, +% soil loss) and bare (+% runoff, +% soil loss) surfaces showed the most distinct changes when compared to undisturbed forest.
Abstract A spatially distributed rainfall–runoff–soil erosion model capable of handling catchment heterogeneity in terms of landuse, soil, slope, and rainfall has been developed and applied to data from several catchments.
The model operates on a cell basis and accepts distributed inputs from a raster geographic information system (GIS).
GIS-based erosion modeling using path sampling method: (a) C-factor at the study site with disturbed land shown in red; (b) particle representation of soil detachment (only 1% of particles is.
De Roo, A.P.J. () ‘Modelling surface runoff and soil erosion in catchments using Geographical Information Systems; Validity and applicability of the ‘ANSWERS’ model in two catchments in the loess area of South Limburg (The Netherlands) and one in Devon (UK)’.
Dissertation, University of Utrecht. In press. Google Scholar. The hillslope scale database is based on runoff and soil erosion modelling. To assess the surface runoff production and the interrill erosion, the STREAM model was used.
The present study is based on SWAT (Soil and Water Assessment Tool) Model which integrates the GIS information with attribute database to estimate the runoff of Ajay River catchment. Soil and Water Assessment Tool (SWAT) is a physically based distributed parameter model which has been developed to predict runoff, erosion, sediment and nutrient.
The integration of existing soil erosion models, field data and data provided by remote sensing technologies through the use of geographic information systems (GIS) appears to be an asset for further studies (Fernandez et al.,Gitas et al.,Yue-Qing et al., ).
Understanding the complex relationships between rainfall and runoff processes is necessary for the proper estimation of the quantity of runoff generated in a watershed. The surface runoff was simulated using the Hydrologic Modelling System (HEC-HMS) for the Gilgel Abay Catchment ( km2), Upper Blue Nile Basin, Ethiopia.
The catchment was delineated and its properties were extracted from a. The Geographic Information System (GIS) techniques can provide easy and time effective tools to map and analyze erosion input data of hydrophysical parameters. These techniques coupled with the concept of catchment priority can help in identifying areas where treatment plans should be first located.
Many studies (e.g., Sharad et al. [ Soil erosion caused by water is the loss of top fertile surface soil as a result of erosive rainfall and consequent runoff (Ganasri and Ramesh ).It is considered to be the most risky form of soil degradation (Alexandridis et al.
).Soil erosion is a worldwide environmental problem that affects the productivity of all natural ecosystems and agriculture, which threaten the lives of most. During the same year, a grid or cell-based process-oriented distributed rainfall-runoff model, capable of handling the catchment heterogeneity in terms of distributed information on landuse, slope, soil, and rainfall, was developed and applied to isolated storm events in several catchments.
resolution Digital Elevation Model, soil property, land use maps and climatic data of the catchment. Land use map was derived from Landsat imagery via its processing using Integrated Land and Water Information Systems software. The results show that the spatially distributed soil erosion ranged from to t/ha for a mm rainfall event.
model to predict the hydrological connectivity and the rates of soil erosion under four different scenarios of land uses and land abandonment. This goal is achieved by using geographic information systems (GIS) in the Estanque de Arriba catchment (74 ha; Spanish Pre-Pyrenees) where 83 soil samples were collected.
The different maps of. Remote Sensing and Geographic Information System (GIS) are emerging very powerful tools for analyzing spatial distributed information.
In these study satellite images of IRS-P6 LISS-III images have been used. Heavy runoff and soil erosion. s This research aims to determine the runoff depth using the Soil Conservation Service Curve Number (SCS-CN) method with Geographic Information Technique (GIS).
A rainfall-runoff model is a mathematical model describing the rainfall-runoff relations of a catchment .The Precipitation-Runoff Modeling System (PRMS) is a deterministic, distributed-parameter, physical process based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology.Surface runoff (also known as overland flow) is the flow of water occurring on the ground surface when excess rainwater, stormwater, meltwater, or other sources, can no longer sufficiently rapidly infiltrate in the can occur when the soil is saturated by water to its full capacity, and that the rain arrives more quickly than the soil can absorb it.