Use of Decision Tables to Simulate Management in SWAT+

Arnold, Jeffrey G.; Bieger, Katrin; White, Michael J.; Srinivasan, Raghavan; Dunbar, John A.; Allen, Peter M.

doi:10.3390/w10060713

Cited by 64 publications

(66 citation statements)

References 11 publications

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“…The objectives of the study are to (a) present a mass balance calibration approach to calibrate large-scale models based on soft data to reduce computation costs that come with conventional calibration methods, (b) present a method that uses global datasets to represent reservoir and irrigation practices in SWAT+ (Arnold et al 2018), and (c) evaluate the influence of the mass balance calibration approach and management practices on model performance and climate projections.…”

Section: Introductionmentioning

confidence: 99%

“…We base the HMBC on soft data derived from global datasets. We also implement so-called decision tables (Arnold et al 2018) to represent reservoir operations and irrigation practices. We investigate the influence of HMBC and implementation of management practices on model performance and future projections over Southern Africa by comparing the default model setup and the model calibrated using HMBC with implementation of human interactions (henceforth referred to as regionalised model setup).…”

Section: Introductionmentioning

confidence: 99%

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Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+

Chawanda

Arnold²,

Thiery

et al. 2020

Climatic Change

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Climate change (CC) has a high impact on hydrological processes which calls for reliable projections of CC hydrological impacts at large scales. However, there are several challenges in hydrological modelling at large scales. Large-scale models are often not adapted and evaluated at regional scale due to high computation time requirements or lack of information on human interactions, such as dam operations and irrigation practices at local scale. In this study, we present a regionalised methodology that uses a hydrological mass balance calibration (HMBC) and global datasets to represent reservoir and irrigation practices and apply these to a SWAT+ model for Southern Africa. We evaluate the influence of HMBC and the representation on irrigation and reservoirs on model performance and climate projections. We propose a generalised implementation of reservoirs using global datasets and decision tables to represent irrigation and reservoir management. Results show that inclusion of irrigation, reservoirs and HMBC leads to improved simulation of discharge and evapotranspiration with fewer iterations than a full parameter calibration. There is a substantial difference between projections made by the regionalised model and default model when looking at local impacts. We conclude that large-scale hydrological studies that involve local analysis and spatial mapping of results benefit from HMBC and representation of management practices. The proposed methodology can be scaled up and improve overall projections made by global models.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+

Chawanda

Arnold²,

Thiery

et al. 2020

Climatic Change

Self Cite

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“…O PBIAS diz respeito ao percentual de viés das vazões simuladas pelo modelo em relação às observadas, ou seja, é uma medida da tendência média das vazões simuladas serem maiores ou menores que as observadas (Kouchi et al, 2017). Quanto mais próximo de zero for o valor deste coeficiente melhor o modelo representará a realidade, além disso serve como indicativo se o modelo é pobre em representatividade (Arnold et al, 2018. Para complementar as análises foi avaliado também o coeficiente de determinação. em que Q sim med é a média dos valores simulados e Q obs med é a média dos valores observados.…”

Section: Coe -íNdice De Eficiência De Nash-sutcliffeunclassified

Análise De Sensibilidade De Parâmetros Hidrológicos Na Bacia Do Rio Das Pedras - Guarapuava-Pr

Castro

Machado

2019

Rev. Bras. Geog. Fis.

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O modelo Soil and Water Assessment Tool (SWAT) é amplamente utilizado para predizer o impacto das alterações no uso e no manejo do solo, entre outros, é extremamente sensível à qualidade dos dados de entrada. Assim, antes da simulação é necessário que se realize uma análise de sensibilidade de tal forma que se possa dar ênfase maior à aquisição e refinamento de determinados dados, diminuir as incertezas e aumentar a confiança nos resultados gerados. Os resultados simulados na bacia do Rio das Pedras – Guarapuava, foram realizadas a análise de sensibilidade e a calibração do modelo SWAT. Após a calibração do modelo os resultados do Índice de Nash & Sutcliffe alterado (COE), do percentual de tendência (PBIAS), e o coeficiente de determinação (R²) foram, respectivamente, 0,69, -0,5 e 0,7, indicando bom ajuste entre a vazão média mensal da bacia Rio das Pedras simulada pelo modelo SWAT em relação aos dados observados. Sensitivity analysis of hydrological parameters in the Rio das Pedras basin - Guarapuava-PR A B S T R A C TThe SWAT model is widely used to predict the impact of changes in land use and management, among others, is extremely sensitive to the quality of input data. Thus, prior to the simulation, it is necessary to perform a sensitivity analysis in such a way that greater emphasis can be placed on the acquisition and refinement of certain data, decrease uncertainties and increase confidence in the results generated. The simulated results in the Rio das Pedras - Guarapuava basin, were performed the sensitivity analysis and calibration of the SWAT model. After the calibration of the model, the results of the modified Nash & Sutcliffe Index (COE), percentage of trend (PBIAS), and coefficient of determination (R²) were, respectively, 0.69, -0.5 and 0.7, Indicating a good fit between the average monthly flow of the Rio das Pedras basin simulated by the SWAT model in relation to the observed data.

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“…Therefore, water availability is the combined result of natural processes, existing infrastructure, and policy. A wide range of techniques have been proposed to analyse water availability, from relatively simple stochastic processes relating these variables to highly complex models solving the water allocation problem [20][21][22][23][24], even including social and economic considerations [25]. In the water sector, institutions, users, technology, and the economy cooperate to achieve equilibrium between water supply and demand in water resource systems.…”

Section: Introductionmentioning

confidence: 99%

Blue Water in Europe: Estimates of Current and Future Availability and Analysis of Uncertainty

Sordo‐Ward

Granados

Iglesias

et al. 2019

Water

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This study presents a regional assessment of future blue water availability in Europe under different assumptions. The baseline period (1960 to 1999) is compared to the near future (2020 to 2059) and the long-term future (2060 to 2099). Blue water availability is estimated as the maximum amount of water supplied at a certain point of the river network that satisfies a defined demand, taking into account specified reliability requirements. Water availability is computed with the geospatial high-resolution Water Availability and Adaptation Policy Assessment (WAAPA) model. The WAAPA model definition for this study extends over 6 million km2 in Europe and considers almost 4000 sub-basins in Europe. The model takes into account 2300 reservoirs larger than 5 hm3, and the dataset of Hydro 1k with 1700 sub-basins. Hydrological scenarios for this study were taken from the Inter-Sectoral Impact Model Inter-Comparison Project and included simulations of five global climate models under different Representative Concentration Pathways scenarios. The choice of method is useful for evaluating large area regional studies that include high resolution on the systems´ characterization. The results highlight large uncertainties associated with a set of local water availability estimates across Europe. Climate model uncertainties for mean annual runoff and potential water availability were found to be higher than scenario uncertainties. Furthermore, the existing hydraulic infrastructure and its management have played an important role by decoupling water availability from hydrologic variability. This is observed for all climate models, the emissions scenarios considered, and for near and long-term future. The balance between water availability and withdrawals is threatened in some regions, such as the Mediterranean region. The results of this study contribute to defining potential challenges in water resource systems and regional risk areas.

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Use of Decision Tables to Simulate Management in SWAT+

Cited by 64 publications

References 11 publications

Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+

Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+

Análise De Sensibilidade De Parâmetros Hidrológicos Na Bacia Do Rio Das Pedras - Guarapuava-Pr

Blue Water in Europe: Estimates of Current and Future Availability and Analysis of Uncertainty

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