EHSMu: a New Ecohydrological Streamflow Model to Estimate Runoff in Urban Areas

Cristiano, Elena; Deidda, Roberto; Viola, Francesco

doi:10.1007/s11269-020-02696-0

Cited by 10 publications

(7 citation statements)

References 40 publications

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“…Although a few peaks may be over-or underpredicted due to the reduction in spatial resolution through sub-catchment aggregation, the hydrograph shape and volume are adequately simulated. Overall, even though the rainfall/runoff module is simple and does not require lengthy estimation of SWMM input data, model performance is comparable with the other studies, e.g., an hourly SWMM model by Mancipe-Munoz et al (2014) achieves NSE ¼ 0.61-0.72 with physical parameters carefully computed from advanced remote sensing techniques; the model performance of EHSMu (Cristiano et al 2020), an ecohydrological urban runoff model which considers the soil dynamics, is 0.61-0.72 in terms of NSE at the hourly time step.…”

Section: Flow Modelsupporting

confidence: 60%

Calibration and sensitivity analysis of a novel water flow and pollution model for future city planning: Future Urban Stormwater Simulation (FUSS)

Prodanovic

Jamali

Kuller

et al. 2022

Water Science and Technology

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Planning for future urban development and water infrastructure is uncertain due to changing human activities and climate. To quantify these changes, we need adaptable and fast models that can reliably explore scenarios without requiring extensive data and inputs. While such models have been recently considered for urban development, they are lacking for stormwater pollution assessment. This work proposes a novel Future Urban Stormwater Simulation (FUSS) model, utilizing previously developed urban planning algorithm (UrbanBEATS) to dynamically assess pollution changes in urban catchments. By using minimal input data and adding stochastic point-source pollution to the build-up/wash-off approach, this study highlights calibration and sensitivity analysis of flow and pollution modules, across the range of common stormwater pollutants. The results highlight excellent fit to measured values in a continuous rainfall simulation for the flow model, with one significant calibration parameter. The pollution model was more variable, with TSS, TP and Pb showing high model efficiency, while TN was predicted well only across event-based assessment. The work further explores the framework for the model application in future pollution assessment, and points to the future work aiming to developing land-use dependent model parameter sets, to achieve flexibility for model application across varied urban catchments.

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Section: Flow Modelsupporting

confidence: 60%

Calibration and sensitivity analysis of a novel water flow and pollution model for future city planning: Future Urban Stormwater Simulation (FUSS)

Prodanovic

Jamali

Kuller

et al. 2022

Water Science and Technology

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show abstract

“…Since the model was tested with local observations of θ and ET and accounted for the interannual variability in P and ET o , the scenarios are the best current representation of the fate of outdoor water within the upper soil profile of the study parks. While more advanced ecohydrological models are available for urban areas (e.g., Cristiano et al, 2020; Fatichi et al, 2016; Meili et al, 2020), the soil water balance approach of Laio et al (2001) and Porporato et al (2001) represented well the dominant role of the irrigation type and provided insights on the effects of changes in irrigation. Sprinkler and flood irrigation scenarios showed that the stakeholder target of an 18% reduction in water use could be achieved with low impacts on the soil water balance or plant stress, with further reductions of 30% also being feasible.…”

Section: Discussionmentioning

confidence: 99%

Section: Water Savings Through Irrigation Schedulingmentioning

confidence: 99%

Water conservation potential of modified turf grass irrigation in urban parks of Phoenix, Arizona

et al. 2022

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Large amounts of water are consumed by urban parks in arid regions such that efficient irrigation practices are needed. In Phoenix, Arizona, extensive turf grass areas are supported using flood or sprinkler irrigation that also require fertilizers. Residential green waste compost has the potential to serve an alternative fertilizer if its higher costs can be offset through water conservation. In this study, we conducted an ecohydrological monitoring and modelling effort for a compost experiment in two urban parks with either flood or sprinkler irrigation. Soil moisture, evapotranspiration and turf greenness data along with a soil water balance model were used to determine if compost treated plots were different from control plots in each park. After building confidence in the model through comparisons to data, we created long‐term scenarios to explore differences between flood and sprinkler irrigation practices and analyse the effect of changes in irrigation scheduling. Multiple lines of evidence indicated that green waste compost applications did not appreciably change soil moisture or vegetation conditions in either urban park. Major differences, however, were noted between the two irrigation practices in terms of the seasonality of the soil water balance, plant water stress and the sensitivity to interannual fluctuations in precipitation. Model scenarios showed that significant irrigation reductions from 15% to 30% could be achieved, in particular with small changes in watering depths. As a result, irrigation management in urban parks can meet water conservation targets that potentially offset green waste compost costs while also benefitting the soil water balance through reductions in water losses.

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“…Traditionally, modelling studies on water in an urban context have focussed on drainage and flooding (e.g., Cao et al, 2020; Zhou et al, 2017). Until recently, very few studies attempted to improve process‐based estimates of ecohydrological fluxes from urban green spaces (e.g., Cristiano et al, 2020; Meili et al, 2020). Consequently, process‐based models for green water flux estimates are crucial, which has been specifically highlighted as a priority for improvement by the research community (Tague et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Estimates of water partitioning in complex urban landscapes with isotope‐aided ecohydrological modelling

Gillefalk

Tetzlaff

Marx

et al. 2022

Hydrological Processes

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Urban green space is increasingly viewed as essential infrastructure to build resilience to climate change by retaining water in the city landscape and balancing ecohydrological partitioning into evapotranspiration for cooling and groundwater recharge. Quantifying how different vegetation types affect water partitioning is essential for future management, but paucity of data and the complex heterogeneity of urban areas make water balance estimates challenging. Here, we provide a preliminary assessment of water partitioning from different sized patches of trees and grass as well as from sealed surfaces. To do this, we used limited field observations together with an advanced, process‐based tracer‐aided ecohydrological model at a meso‐scale (5 km2) in central Berlin, Germany. Transpiration was the dominant green water flux accounting for over 50% of evapotranspiration in the modelled area. Green water fluxes were in general greater from trees compared with grass, but grass in large parks transpired more water compared with grass in small parks that were intensively used for recreation. Interception evaporation was larger for trees compared with grass, but soil water evaporation was greater for grass compared with trees. We also show that evapotranspiration from tree‐covered areas comprise almost 80% of the total evapotranspiration from the whole model domain while making up less than 30% of the surface cover. The results form an important stepping‐stone towards further upscaling over larger areas and highlights the importance of continuous high‐resolution hydrological measurements in the urban landscape, as well as the need for improvements to ecohydrological models to capture important urban processes.

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EHSMu: a New Ecohydrological Streamflow Model to Estimate Runoff in Urban Areas

Cited by 10 publications

References 40 publications

Calibration and sensitivity analysis of a novel water flow and pollution model for future city planning: Future Urban Stormwater Simulation (FUSS)

Calibration and sensitivity analysis of a novel water flow and pollution model for future city planning: Future Urban Stormwater Simulation (FUSS)

Water conservation potential of modified turf grass irrigation in urban parks of Phoenix, Arizona

Estimates of water partitioning in complex urban landscapes with isotope‐aided ecohydrological modelling

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