Hydrologic analysis of urban catchments with event‐based probabilistic models: 1. Runoff volume

Guo, Yiping; Adams, Barry J.

doi:10.1029/98wr02449

Cited by 129 publications

(89 citation statements)

References 9 publications

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“…There have been relatively few studies on detailed quantitative evaluation of the removal of atmospheric pollutants by rainfall in the literature because it is very difficult to understand the precipitation washout effect of particulate matter in each rainfall event. To solve problems like this, a statistical determination of Inter-event Time Definition (IETD), the minimum dry period between two rainfall pulses, is widely used in the field of hydrology, which is the study of the runoff, distribution, and quality of water on earth (Guo et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Effect of Precipitation on Air Pollutant Concentration in Seoul, Korea

Kim¹,

Hong²,

Jun³

et al. 2014

Asian J. Atmos. Environ

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In this study, long-term rainfall data with irregular spatial distribution in Seoul, Korea, were separated into individual precipitation events by the inter-event time definition of 6 hours. Precipitation washout of PM 10 and NO 2 concentrations in the air considering various complex factors were analyzed quantitatively. Concentrations of PM 10 and NO 2 in the atmosphere were lower under condition of rainfall compared to that of non-precipitation, and a noticeable difference in average PM 10 concentrations was observed. The reduction of concentrations of PM 10 and NO 2 by rainfall monitored at road-side air monitoring sites was also lower than that of urban air monitoring sites due to continuous pollutant emissions by transportation sources. Meanwhile, a relatively smaller reduction of average PM 10 concentration in the atmosphere was observed under conditions of light rainfall below 1 mm, presumably because the impact of pollutant emission was higher than that of precipitation scavenging effect, whereas an obvious reduction of pollutants was shown under conditions of rainfall greater than 1 mm. A log-shaped regression equation was most suitable for the expression of pollutant reduction by precipitation amount. In urban areas, a lower correlation between precipitation and reduction of NO 2 concentration was also observed due to the mobile emission effect.

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Section: Introductionmentioning

confidence: 99%

Effect of Precipitation on Air Pollutant Concentration in Seoul, Korea

Kim¹,

Hong²,

Jun³

et al. 2014

Asian J. Atmos. Environ

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show abstract

“…a 5 or 10 yr event. For example, at an urban runoff system in Toronto, Canada, Guo and Adams (1998a) compared volumes of runoff return periods for an analytical expression, based on exponential probability density functions of rainfall event characteristics, with return periods from the Storm Water Management Model (SWMM). In Guo and Adams (1998b), return periods for peak discharge rates from the analytical model and SWMM were compared.…”

Section: Introductionmentioning

confidence: 99%

Climate change impact on groundwater levels: ensemble modelling of extreme values

Kidmose

Refsgaard

Troldborg

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. This paper presents a first attempt to estimate future groundwater levels by applying extreme value statistics on predictions from a hydrological model. Climate scenarios for the future period, 2081-2100, are represented by projections from nine combinations of three global climate models and six regional climate models, and downscaled (including bias correction) with two different methods. An integrated surface water/groundwater model is forced with precipitation, temperature, and potential evapotranspiration from the 18 models and downscaling combinations. Extreme value analyses are performed on the hydraulic head changes from a control period (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) to the future period for the 18 combinations. Hydraulic heads for return periods of 21, 50 and 100 yr (T 21−100 ) are estimated. Three uncertainty sources are evaluated: climate models, downscaling and extreme value statistics. Of these sources, extreme value statistics dominates for return periods higher than 50 yr, whereas uncertainty from climate models and extreme value statistics are similar for lower return periods. Uncertainty from downscaling only contributes to around 10 % of the uncertainty from the three sources.

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“…For other combinations of IETD and Ia values used with this method, which are not shown for brevity, the hypothesis of applicability is also confirmed. Figure 7 presents the efficiency index trend [9] at varying tank storage volumes for the three rain station gauges, applying both the continuous simulation approach (points) and semi-probabilistic model (curves).…”

Section: Semi-probabilistic Approach To Evaluate the Capture Tank Effmentioning

confidence: 99%

“…Several applications have assumed that the synthetic meteorological variables of the duration, volume, and dry time of rain can be represented by an exponential distribution with one parameter [8][9][10][11][12]. Balistrocchi et al [7] proposed a semi-probabilistic model based on the use of the Weibull pdf with a non-zero lower limit for the description of the rain event volume, combined with a two-parameter model of gross rain purification.…”

Section: Introductionmentioning

confidence: 99%

Stormwater Tank Performance: Design and Management Criteria for Capture Tanks Using a Continuous Simulation and a Semi-Probabilistic Analytical Approach

Paola

Martino²

2013

Water

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Stormwater tank performance significantly depends on management practices. This paper proposes a procedure to assess tank efficiency in terms of volume and pollutant concentration using four different capture tank management protocols. The comparison of the efficiency results reveals that, as expected, a combined bypass-stormwater tank system achieves better results than a tank alone. The management practices tested for the tank-only systems provide notably different efficiency results. The practice of immediately emptying after the end of the event exhibits significant levels of efficiency and operational advantages. All other configurations exhibit either significant operational problems or very low performances. The continuous simulation and semi-probabilistic approach for the best tank management practice are compared. The semi-probabilistic approach is based on a Weibull probabilistic model of the main characteristics of the rainfall process. Following this approach, efficiency indexes were established. The comparison with continuous simulations shows the reliability of the probabilistic approach even if this last is certainly very site sensitive.

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Hydrologic analysis of urban catchments with event‐based probabilistic models: 1. Runoff volume

Cited by 129 publications

References 9 publications

Effect of Precipitation on Air Pollutant Concentration in Seoul, Korea

Effect of Precipitation on Air Pollutant Concentration in Seoul, Korea

Climate change impact on groundwater levels: ensemble modelling of extreme values

Stormwater Tank Performance: Design and Management Criteria for Capture Tanks Using a Continuous Simulation and a Semi-Probabilistic Analytical Approach

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