2018
DOI: 10.3390/w10060774
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Development of an Integrated Modelling System for Evaluating Water Quantity and Quality Effects of Individual Wetlands in an Agricultural Watershed

Abstract: A GIS-based fully-distributed model, IMWEBs-Wetland (Integrated Modelling for Watershed Evaluation of BMPs-Wetland), is developed to simulate hydrologic processes of site-specific wetlands in an agricultural watershed. This model, powered by the open-source GIS Whitebox Geospatial Analysis Tools (GAT) and advanced database technologies, allows users to simulate and assess water quantity and quality effects of individual wetlands at site and watershed scales. A case study of the modelling system is conducted in… Show more

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Cited by 11 publications
(7 citation statements)
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“…We know a lot about individual wetland processes, and this knowledge has been integrated into individual wetland, or plot-scale, models. In fact, marked refinements have been made in recent years in simulating individual wetland nutrient biogeochemistry. , However, most watershed models have limited capacity to simulate both nutrient cycling in multiple NFWs across the landscape and the hydrological transport processes that link nutrient fluxes from NFWs to other surface waters , in part because of the complexity and variability of these processes.…”
Section: Nfws and Watershed-scale Nutrients: What We Are Missing And Whymentioning
confidence: 99%
See 1 more Smart Citation
“…We know a lot about individual wetland processes, and this knowledge has been integrated into individual wetland, or plot-scale, models. In fact, marked refinements have been made in recent years in simulating individual wetland nutrient biogeochemistry. , However, most watershed models have limited capacity to simulate both nutrient cycling in multiple NFWs across the landscape and the hydrological transport processes that link nutrient fluxes from NFWs to other surface waters , in part because of the complexity and variability of these processes.…”
Section: Nfws and Watershed-scale Nutrients: What We Are Missing And Whymentioning
confidence: 99%
“…NFWs therefore typically remain disregarded in watershedscale modeling efforts, and they are only now beginning to be directly implemented into model simulations 17,83 particularly for water quality. 80 Previously, in rare cases where wetlands were considered in a process-based model, NFWs were grouped with floodplain wetlands or spatially aggregated (lumped) by watershed, e.g., as with the soil and water assessment tool (SWAT) model. This limitation has been emphasized in recent work that makes advances toward direct, spatially explicit integration of NFWs into watershed models for water quantity simulations.…”
Section: ■ Introductionmentioning
confidence: 99%
“…The entire watershed, including all the study wetlands, was subdivided into contributing areas for each unique wetland basin, intact or drained using procedures similar to those outlined by McCauley and Anteau [71]. Contributing area delineations were accomplished using open-source GIS software package Whitebox Geospatial Analysis Tools (GAT) [72], which performs better than the ArcHydro package for "closed basin" systems like prairie-pothole wetlands [73]. Digital Elevation data used to delineate contributing areas were derived from LiDAR-collected 1/9 arc second (three-meter) DEM from the National elevation dataset [74].…”
Section: Wetland and Catchment Delineationmentioning
confidence: 99%
“…Geographic Information Systems (GIS) have become widely used because inventory and spatial analysis of water and land resources in river basins require obtaining, storing, and simultaneously processing a wide range of quantitative data and visualizing spatial data [40][41][42][43][44][45]. Multivariate statistics and neural network technologies are promising for a comprehensive analysis, assessment of series heterogeneity, determination of spatiotemporal patterns of formation, and synchronization of the dynamics of river water flow and soil erosion [46][47][48][49][50][51].…”
Section: Introductionmentioning
confidence: 99%