Long-Term Modelling of an Agricultural and Urban River Catchment with SWMM Upgraded by the Evapotranspiration Model UrbanEVA

Kachholz, Frauke; Tränckner, Jens

doi:10.3390/w12113089

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…The results indicate that ET quantity as well as the dynamics are modeled with a good performance (Sections 3.2 and 3.3) which leads to good applicability of the model for vegetation in general. These finding support those of [73], who used SWMM-UrbanEVA for long-term modeling of an agricultural and urban river catchment.…”

Section: Discussionsupporting

confidence: 89%

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SWMM-UrbanEVA: A Model for the Evapotranspiration of Urban Vegetation

Hörnschemeyer

Henrichs

Uhl

2021

Water

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Urban hydrology has so far lacked a suitable model for a precise long-term determination of evapotranspiration (ET) addressing shading and vegetation-specific dynamics. The proposed model “SWMM-UrbanEVA” is fully integrated into US EPA’s Stormwater Management Model (SWMM) and consists of two submodules. Submodule 1, “Shading”, considers the reduction in potential ET due to shading effects. Local variabilities of shading impacts can be addressed for both pervious and impervious catchments. Submodule 2, “Evapotranspiration”, allows the spatio-temporal differentiated ET simulation of vegetation and maps dependencies on vegetation, soil, and moisture conditions which are necessary for realistically modeling vegetation’s water balance. The model is tested for parameter sensitivities, validity, and plausibility of model behaviour and shows good model performance for both submodules. Depending on location and vegetation, remarkable improvements in total volume errors Vol (from Vol = 0.59 to −0.04% for coniferous) and modeling long-term dynamics, measured by the Nash–Sutcliffe model efficiency (NSE) (from NSE = 0.47 to 0.87 for coniferous) can be observed. The most sensitive model inputs to total ET are the shading factor KS and the crop factor KC. Both must be derived very carefully to minimize volume errors. Another focus must be set on the soil parameters since they define the soil volume available for ET. Process-oriented differentiation between ET fluxes interception evaporation, transpiration, and soil evaporation, using the leaf area index, behaves realistically but shows a lack in volume errors. Further investigations on process dynamics, validation, and parametrization are recommended.

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Section: Discussionsupporting

confidence: 89%

“…The sensitivity analysis, like that recently applied by, e.g., [71][72][73], aimed to identify the influence of the parameters on the model results and to consider the interaction of the parameters with each other. It was carried out globally with Latin Hypercube Sampling (LHS) [74].…”

Section: Set Up and Goodness-of-fit Criteriamentioning

confidence: 99%

SWMM-UrbanEVA: A Model for the Evapotranspiration of Urban Vegetation

Hörnschemeyer

Henrichs

Uhl

2021

Water

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“…In scenario A, simulated flow correlated well with the observed flow in the peak flow region (r > 0.6) in comparison to the low flow region (r < 0.3). Thus, the model performance in the peak flow region can be judged as 'satisfactory' [35]. Therefore, it is evident that the MIKE 11 NAM model can adequately reproduce the peak flow components of runoff hydrograph using the transferred model parameters with 4-year temporal lag.…”

Section: Model Performance Based On Temporal Transfer Scenariosmentioning

confidence: 98%

Temporal Transferability of Calibrated Hydrological Model Parameters: A Case Study of Gin Catchment, Sri Lanka

Wickramaarachchi

Gunasekara

2023

Engineer

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Lack of observed data for model calibration hinders the application of hydrological models in many poorly-gauged catchments, particularly in the humid tropical region. Despite much less attention given, it is vital to assess transferability of calibrated parameters in order to apply hydrological models in such catchments to assist their water resources planning and management activities. Thus, this study investigated temporal transferability of a lumped conceptual hydrological model's (MIKE 11 NAM) calibrated model parameters for rainfall-runoff simulations in two different time periods beyond its calibration period. Study area was selected as Gin catchment located in the humid tropical region. MIKE 11 NAM model was calibrated for the period 1995-1998 [Nash Sutcliffe coefficient (NSE) = 0.73, percent bias (PBIAS) = 3.9%, ratio of the root mean square error to the standard deviation of measured data (RSR) = 0.52] and validated for the period 1999-2002 (NSE=0.66, PBIAS = 8.7%, RSR = 0.59) for the Gin catchment. The temporal transferability of the calibrated model parameters was tested using two scenarios which formulated based on the temporal lag between the calibration period and the transfer period: scenario A having a 4-year time lag and scenario B having a 8-year time lag. Scenario A which evaluated the model performance using 2003-2006 streamflow data indicated only a marginal loss in the model performance in comparison to the calibration. It showed an overall 'good' performance (NSE=0.64, PBIAS = 8.6%, RSR = 0.59) including promising capability to reproduce the peak flows (<10 th percentile) with Pearson's correlation coefficient of 0.6. However, scenario B which evaluated the model performance using 2007-2010 streamflow data indicated 'unsatisfactory' model performance (NSE=0.42, PBIAS = 13.6%, RSR = 0.76). Therefore, this study suggests that the calibrated parameters of MIKE 11 NAM model can be temporally transferred within a catchment with a 4-year time lag from the calibration period implying the applicability of this modelling framework for rainfall-runoff simulations especially in the catchments where streamflow data is sparse.

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“…The fully integrated submodel complements SWMM by enabling the plant-specific modeling of evapotranspiration for BGIs. It has undergone validation for simulating the water balance of different BGIs [41][42][43], but further investigations are required for parameterization.…”

Section: Introductionmentioning

confidence: 99%

Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

Hörnschemeyer

Henrichs

Dittmer

et al. 2023

Water

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Blue–green infrastructures (BGI) play an important role in addressing contemporary challenges posed by urbanization, climate change, and demographic shifts. This study focuses on the parameterization of BGI within hydrological models, specifically emphasizing the Low Impact Development (LID) module of the Storm Water Management Model (SWMM), supplemented by the SWMM-UrbanEVA evapotranspiration model. Employing a systematic approach, a transferable framework is developed to categorize BGI types, leading to a comprehensive parameterization toolset. This toolset includes parameter estimates for predefined BGI types, encompassing both natural and technical systems with a specific emphasis on plant-specific parameterization. The justification of these parameter estimates is supported by an extensive literature review. Sensitivity analyses reveal the influence of plant-specific parameters, such as the crop factor (KC), and soil storage capacity, on water balance and peak runoff. Additionally, this study presents practical guidelines to enhance the comprehension of model behavior and ensure the highest possible quality in model parameterization. While further research on validity and transferability of the toolset is required, the findings of this study provide useful support for the differentiated representation and analysis of hydrological processes in urban environments. As a result, this study serves as a valuable resource for researchers, practitioners, and decision makers, facilitating the implementation of sustainable water management practices in urban settings.

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Long-Term Modelling of an Agricultural and Urban River Catchment with SWMM Upgraded by the Evapotranspiration Model UrbanEVA

Cited by 7 publications

References 16 publications

SWMM-UrbanEVA: A Model for the Evapotranspiration of Urban Vegetation

SWMM-UrbanEVA: A Model for the Evapotranspiration of Urban Vegetation

Temporal Transferability of Calibrated Hydrological Model Parameters: A Case Study of Gin Catchment, Sri Lanka

Parameterization for Modeling Blue–Green Infrastructures in Urban Settings Using SWMM-UrbanEVA

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