Interfacing Gis With Water Resource Models: A State-of-the-Art Review

Martin, Paul; LeBoeuf, Eugene J.; Dobbins, James; Daniel, Edsel B.; Abkowitz, Mark

doi:10.1111/j.1752-1688.2005.tb03813.x

Cited by 76 publications

(38 citation statements)

References 65 publications

(86 reference statements)

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“…By using historical precipitation records, this class of models can produce discharge hydrographs from current watershed topography and physical characteristics (Kokkonen et al, 2003;Martin et al, 2005;Cheng et al, 2006). Of these watershed models, the Soil and Water Assessment Tool (SWAT; Neitsch et al, 2001), is spatially explicit, uses data available in public domain, and is already in widespread use in water resource management (Gore and Mead, 2008).…”

Section: Introductionmentioning

confidence: 99%

Linking a spatially explicit watershed model (SWAT) with an in‐stream fish habitat model (PHABSIM): A case study of setting minimum flows and levels in a low gradient, sub‐tropical river

Casper

Dixon

Earls

et al. 2011

River Research & Apps

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As changes in landuse and the demand for water accelerate, regulators and resource managers are increasingly asked to evaluate water allocation against the need for protection of in-stream habitat. In the United States, only a small number of river basins have the longterm hydrograph data needed to make these assessments. This paper presents an example of how to bridge the conceptual and physical divide between GIS-based watershed modelling of basin-discharge and in-stream hydraulic habitat models. Specifically, we used a Soil and Water Assessment Tool (SWAT) model for the Hillsborough River to produce data for use in a Physical HABitat SIMulation (PHABSIM) model of the same river. This coupling of models allowed us to develop long-term discharge data in ungauged river systems based on watershed characteristics and precipitation records. However this approach is not without important limitations. Results confirm that accuracy of the SWAT-predicted hydrograph declines significantly when either the DEM resolution becomes too coarse or if DEM data are resampled to a coarser or finer resolution. This is due to both changes in the size and shape of the river basin with the varying DEMs and subsequent shifts in the proportions of land use, soils and elevation. Results show the use of 30 m DEMs produced hydrographic patterns amenable for using in-stream habitat protocols like PHABSIM model, especially where little or no hydrographic and land use information exists.

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Section: Introductionmentioning

confidence: 99%

Linking a spatially explicit watershed model (SWAT) with an in‐stream fish habitat model (PHABSIM): A case study of setting minimum flows and levels in a low gradient, sub‐tropical river

Casper

Dixon

Earls

et al. 2011

River Research & Apps

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“…Geographic Information System (GIS) techniques have many advantages over older, improved georeferenced thematic map analysis and interpretations (Thapinta and Hudak 2003;Dixon 2005;Martin et al 2005). Cowen (1988) defined GIS as a decision support system involving the integration of spatially referenced data in a problem solving environment.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)

Chenini

Mammou

May

2009

Water Resour Manage

215

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The groundwater recharge zone mapping often requires a large amount of spatial information and criteria. Geographic information systems are capable of managing large amount of spatially related information, providing the ability to integrate multiple layers of information for multi-criteria analysis. To show the capabilities of GIS techniques for mapping groundwater refill zone in arid area, a study was carried out in the Maknassy basin located in Central Tunisia. This evaluation incorporates historic rainfall data analysis, watershed drainage density, surficial geology and aquifer boundary conditions. The study basin is categorized according to the previous criteria. Multi-criteria analysis is performed to evaluate suitability to the groundwater recharge for each factor, according to its associated weight. The thematic layers were integrated with one another using the weighted aggregation method to derive the groundwater recharge map. The results demonstrated that the GIS methodology has good functionality for mapping groundwater recharge zone.

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“…De et al (2005) developed a an erosion database interface, which processed the surface hydrology output database of the Water Erosion Prediction Project (WEPP) model, resulting in geo referenced estimation of runoff depths. Martin et al (2005) reviewed two distinctive, independently developed technologies, geographic information systems (GIS) and predictive water resource models. This study provided a state-of-the-art critical review of current trends in interfacing GIS with predictive water resource models.…”

Section: Introductionmentioning

confidence: 99%

Development of a GIS Interface for Estimation of Runoff from Watersheds

Patil

Sarangi

Singh

et al. 2007

Water Resour Manage

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Development of accurate surface runoff estimation techniques from ungauged watersheds is relevant in Indian condition due to the non-availability of hydrologic gauging stations in majority of watersheds. Besides this, the high budgetary requirements for installation of gauging stations are another limiting factor in India, which leads to the use of surface runoff estimation techniques for ungauged watersheds. Natural Resources Conservation Services Curve Number (NRCS-CN) method is one of the most widely used methods for quick and accurate estimation of surface runoff from ungauged watershed. Also, the coupling of NRCS-CN techniques with the advanced Geographic Information System (GIS) capabilities automates the process of runoff prediction in timely and efficient manner. Keeping view of this, a GIS interface was developed using the in-built macro programming language, Visual Basic for Applications (VBA) of ArcGIS® tool to estimate the surface runoff by adopting NRCS-CN technique and its three modifications. The developed interface named as Interface for Surface Runoff Estimation using Curve Number techniques (ISRE-CN), was validated using the recorded data for the periods from 1993 to 2001 of a gauged watershed, Banha in the Upper Damodar Valley in Jharkhand, India. The observed runoff depths for different rainfall events in this study watershed was compared with the predicted values of NRCS-CN methods and its three modifications using statistical significance tests. It was revealed that using all the rainfall data for different AMC conditions, the modified CN I performed the best [R 2 (coefficient of determination)=0.92; E (model efficiency)=0.89) followed by modified CN III method (R 2 =0.88; E=0.87), while the modified CN II (R 2 =0.42; E=0.36) failed to predict accurately the surface runoff from Banha watershed. Moreover, under AMC based estimations, the modified CN I method also Water Resour Manage (performed best (R 2 =0.95; E=0.95) for AMC II condition, while the modified CN II performed the worst in all the AMC conditions. However, the developed Interface in ArcGIS® needs to be tested in other watershed systems for wider applicability of the modified CN methods.

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Interfacing Gis With Water Resource Models: A State-of-the-Art Review

Cited by 76 publications

References 65 publications

Linking a spatially explicit watershed model (SWAT) with an in‐stream fish habitat model (PHABSIM): A case study of setting minimum flows and levels in a low gradient, sub‐tropical river

Linking a spatially explicit watershed model (SWAT) with an in‐stream fish habitat model (PHABSIM): A case study of setting minimum flows and levels in a low gradient, sub‐tropical river

Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)

Development of a GIS Interface for Estimation of Runoff from Watersheds

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