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Environmental Modelling and Software
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#1Helen Mayfield (UQ: University of Queensland)H-Index: 3
#2Carl Smith (UQ: University of Queensland)H-Index: 17
Last. Marc Hockings (World Conservation Monitoring Centre)H-Index: 32
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Abstract There are a many reasons for creating quantitative models of deforestation, supported by a variety of modelling techniques for doing so. We examine the suitability of four different modelling techniques for predicting deforestation; Bayesian networks (BNs), artificial neural networks (ANNs), Gaussian processes (GPs), and generalised linear mixed models (GLMMs). The analysis is provided in the context of the Verified Carbon Standard Approved Methodology for Avoided Unplanned Deforestatio...
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#1John M. Quilty (UW: University of Waterloo)
#1John Quilty (UW: University of Waterloo)H-Index: 7
Last. Jan Adamowski (McGill University)H-Index: 34
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Abstract Recently, a stochastic data-driven framework was introduced for forecasting uncertain multiscale hydrological and water resources processes (e.g., streamflow, urban water demand (UWD)) that uses wavelet decomposition of input data to address multiscale change and stochastics to account for input variable selection, parameter, and model output uncertainty (Quilty et al., 2019). The former study considered all sources of uncertainty together. In contrast, this study explores how input var...
1 CitationsSource
#1Wei Ouyang (BNU: Beijing Normal University)H-Index: 23
#2Peng Wei (BNU: Beijing Normal University)H-Index: 4
Last. Hongbin LiuH-Index: 4
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Abstract The Soil and Water Assessment Tool (SWAT) simplified the hydrological processes in large patches of paddy fields. Based on the original SWAT code, the main equations are modified and validated with the long-term field observations in freezing-thawing watershed. The original SWAT and SWAT with paddy module (SWAT-P) both perform well in the simulation of stream flow at the basin scale (NSE ≥ 0.7). SWAT-P performs better in the soil water simulation (RMSE = 24.22 mm, smaller than 104.63 mm...
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#1Cyndi V. Castro (University of Texas at Austin)
#2David R. Maidment (University of Texas at Austin)H-Index: 39
Abstract Hydrological GIS preprocessing tools are used to spatially relate different datasets for producing topologically connected watersheds and deriving attributes for model parameterization. Obtaining such information requires disparate data-sources from various websites with lengthy processing requirements. This research describes the development of HMS-PrePro, an open-source GIS preprocessing tool that was developed for the U.S. Army Corps of Engineers' (USACE) Hydrologic Engineering Cente...
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Abstract Various methods have been developed for the calibration of cellular automata (CA), which can produce a plausible cell-by-cell fit between modeling results and observed land-use data. However, traditional cell-based CA models still fail to characterize the aggregate landscape patterns of multiple land-use changes. To address this problem, we introduced a landscape-driven multiple CA model that can consider landscape patterns during the calibration procedure. Genetic algorithm was used to...
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#1Barbara J. Robson (Australian Institute of Marine Science)H-Index: 19
#2Jenny Skerratt (Hobart Corporation)H-Index: 4
Last. Karen Wild-Allen (Hobart Corporation)H-Index: 11
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Abstract The Great Barrier Reef is a UNESCO World Heritage Area that has been assessed as having a very poor outlook and needing urgent intervention. The eReefs hydrodynamic-biogeochemical models are used to complement monitoring, facilitate data interpretation and support policy decisions. Management and policy for the Great Barrier Reef are politically contentious, so a high standard of model evaluation is required. We report the application of a recently-developed four-level “CSPS” (Concept/S...
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#1P.V. FemeenaH-Index: 1
#2I. Chaubey (UConn: University of Connecticut)
Last. Nicola FohrerH-Index: 32
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Abstract There is a growing need to address water pollution that demands advanced tools to predict the fate and transport of water quality constituents. Existing stream solute transport models use simple first-order kinetics to evaluate nutrient loss, however these ignore biochemical reactions and lack a user-friendly interface. To address this shortcoming, we integrated the One-dimensional Transport with Inflow and Storage (OTIS) model and the Enhanced Stream Water Quality Model (QUAL2E) and de...
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Abstract Mechanistic phytoplankton functional group (PFG) models are used to develop water quality targets designed to mitigate cyanobacteria blooms, but it remains unclear whether PFG models adequately simulate cyanobacteria dynamics as most are evaluated against observations of chlorophyll-a instead of PFG biomass. To address this challenge, we analyzed an application of CE-QUAL-ICM, a 3D mechanistic PFG model used by water managers and modelers. Global Sensitivity Analysis was employed to ass...
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#1T. GanH-Index: 2
#2David G. TarbotonH-Index: 45
Last. H. YiH-Index: 1
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Abstract In hydrologic research, there is a need to manage, archive, and publish data in a discoverable way to increase data reuse, transparency, and reproducibility. Multidimensional space-time data are commonly used in hydrologic research, and systems are needed for sharing and exchanging such data. Simply exchanging files may result in loss of metadata information and can be challenging when files are large. We developed an approach to manage, share, and publish multidimensional space-time da...
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Abstract A general formulation of a surface water hydrological model is posed that enables multiple numerical schemes, model structures, discretization schemes, and interpolation approaches to be tested, compared, and/or used for assessment of structural uncertainty and algorithm skill. This formulation is the basis for the object-oriented and open source hydrological modelling framework Raven. Raven is uniquely capable of fully emulating and then modifying or extending a number of existing hydr...
1 CitationsSource
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