High spatial–temporal resolution and integrated surface and subsurface precipitation-runoff modelling for a small stormwater catchment

Hailegeorgis, Teklu Tesfaye; Alfredsen, Knut

doi:10.1016/j.jhydrol.2017.12.054

Cited by 10 publications

(7 citation statements)

References 97 publications

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“…Performance model measure on the result of flood event modeling using MRM simulation resulted in error value 0-29.11 %. The value is in accordance with the desired target, previous research related to rainfall-runoff modeling has an error value of 6-35 % [19]; error = 27 % [20]; error = 18-48 % [21].…”

Section: Calibration and Validationsupporting

confidence: 78%

Hydrograph modeling with rational modified method

2019

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Water, a vital natural resource for a human being, could bring negative effects such as flood and landslides. The best way to show the hydrological process is called “model”. One of them is Modified Rational Method (MRM). There are several types of MRM base on its equation modification. Hydrological mass balance or kinematic wave in order to route the flow. With this model modification, the output of the model is not only peak discharge but also unit hydrograph. Model modification was done in the calculation of peak discharges by assigning the C value (coefficient runoff), A value (area) and land characteristic (soil texture, Manning roughness coefficient, and saturation coefficient in the pixel basis. PCRaster software allows us to perform discharge calculation on each pixel. Flow accumulation by using kinematic wave was done to get the unit hydrograph. Three (3) flood events were used to run the model validation, i.e. January 21, January 22, and February 10, 2016. Each event has different rainfall characteristics. The result of this model was DRO hydrograph. Based on the baseflow separation of the observed hydrograph as well as the hydrograph from the model, we found that the flow through the outlet during discharge recession is the base flow. The accuracy value is quite good, i.e. 10–30 %. The result of the model shows a different response between direct runoff and base flow, while time to peak was faster than the recession time.

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Section: Calibration and Validationsupporting

confidence: 78%

Hydrograph modeling with rational modified method

2019

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“…The generalizability of these findings also has important implications for engineering applications that use predictions of land surface temperatures. Urban land surface temperatures are often used by public health officials to mitigate the impact of the urban heat island effect on human health [2], in developing binders and mixers of pavement in roadway designs [41] or to estimate the impact of land surface temperatures on receiving stream temperatures [42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Evaluating the Variability of Urban Land Surface Temperatures Using Drone Observations

Naughton

McDonald

2019

Remote Sensing

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Urbanization and climate change are driving increases in urban land surface temperatures that pose a threat to human and environmental health. To address this challenge, we must be able to observe land surface temperatures within spatially complex urban environments. However, many existing remote sensing studies are based upon satellite or aerial imagery that capture temperature at coarse resolutions that fail to capture the spatial complexities of urban land surfaces that can change at a sub-meter resolution. This study seeks to fill this gap by evaluating the spatial variability of land surface temperatures through drone thermal imagery captured at high-resolutions (13 cm). In this study, flights were conducted using a quadcopter drone and thermal camera at two case study locations in Milwaukee, Wisconsin and El Paso, Texas. Results indicate that land use types exhibit significant variability in their surface temperatures (3.9–15.8 °C) and that this variability is influenced by surface material properties, traffic, weather and urban geometry. Air temperature and solar radiation were statistically significant predictors of land surface temperature (R2 0.37–0.84) but the predictive power of the models was lower for land use types that were heavily impacted by pedestrian or vehicular traffic. The findings from this study ultimately elucidate factors that contribute to land surface temperature variability in the urban environment, which can be applied to develop better temperature mitigation practices to protect human and environmental health.

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“…SWMM as the basic model has been incorporated into different LID practices for various countries which shows a certain level of compatibility and adaptability to resist climate changes. This type of storm management strategy has been identified across developing countries and developed countries such as China and Norway (Huang et al, 2014;Hailegeorgis and Alfredsen, 2018). In China, Storm Water Management Model version 5 (SWMM5) has been used to simulate the processes in LID practices based on the model which is developed by the U.S. Environmental Protection Agency (USEPA) (Huang et al, 2014).…”

Section: Low Impact Development (Lid)mentioning

confidence: 99%

“…However, the conducted LID research in Norway did not directly apply the SWMM technique. Instead of using this model-based technique, researchers in Norway used SWMM as a control variable to compare their own self-developed mathematical flooding mitigation approach with typical SWMM approaches to enable themselves to understand the advantages and disadvantages of their own systems (Hailegeorgis and Alfredsen, 2018).…”

Section: Low Impact Development (Lid)mentioning

confidence: 99%

Development of a Framework for Flood Mitigation in Fiji

Guo¹,

Gurmu²,

Tivendale³

2021

Proceedings of the 9th World Construction Symposium 2021 on Reshaping Construction: Strategic, Structural and Cultural Transfor

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A large portion of infrastructure was flooded by water running off pavements or overflowing from the drainage systems in Fiji. The main objectives of this study are to identify the most suitable drainage management solution to reduce the overflow of the drainage system in Fiji, and to develop a framework of drainage management systems. The literature review was conducted to identify various drainage systems used to mitigate flooding around the world. After the review, the characteristics of Fiji such as climate pattern, location and soil type were analysed in the case study section. Secondary data which was obtained from Australia, Norway, the Netherlands, the U.S., Korea, and China were used in the research. The characteristics of Fiji were then mapped to other countries and a scoring system was created to analyse the suitability of different flood mitigation techniques in Fiji. Finally, multiple flood management strategies were proposed, and a drainage management framework for flood mitigation was developed.

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High spatial–temporal resolution and integrated surface and subsurface precipitation-runoff modelling for a small stormwater catchment

Cited by 10 publications

References 97 publications

Hydrograph modeling with rational modified method

Hydrograph modeling with rational modified method

Evaluating the Variability of Urban Land Surface Temperatures Using Drone Observations

Development of a Framework for Flood Mitigation in Fiji

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