A general formula for hydrologic frequency analysis

Chow, Ven Te

doi:10.1029/tr032i002p00231

Cited by 215 publications

(99 citation statements)

References 5 publications

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“…Design storm is a storm event of specific duration and return period used to calculate the runoff volume and peak discharge, for designing hydrology-related measures in engineering. Observed hourly precipitation is used to derive the design storm by frequency analysis [36] and hyetograph analysis [37]. The design storm is the input of flood analysis in assessing current flood risk.…”

Section: Risk Assessment and Analysismentioning

confidence: 99%

Low Impact Development Planning and Adaptation Decision-Making under Climate Change for a Community against Pluvial Flooding

Chen

Tung

2017

Water

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This study integrates and develops methods, namely low impact development (LID) selection method and an LID spatial planning model, to enable decision-making to minimize pluvial flooding for a community. The objective is to minimize the flood risk under the worst case of the design storm within the budget constraints. Design storms in current and future climate scenarios are analyzed as input to the Storm Water Management Model (SWMM). Then, LID practices are selected based on the proposed procedure and a spatial planning model is built to identify the optimal LID layouts using the simulated annealing (SA) algorithm. The lower and upper bounds of the generated rainfall intensities of a five-year 1-h duration design storms for the Hadley Centre Global Environment Model version 2 for the atmosphere and oceans (HadGEM2-AO), the Norwegian Earth System Model (NorESM1-ME), and the CSIRO-Mk3.6.0 Atmosphere-Ocean GCM (CSIRO-Mk3.6.0) during 2021-2040 are derived. The LID selection helps efficiently identify appropriate LID. Results show that nearly no flood occurs under the optimal LID layouts found by the LID spatial planning model. Moreover, it is more optimal to invest in LID in the lower sub-catchments in LID planning when the budget is limited. These methods are generally applicable for a community using LIDs as adaptation measures against pluvial flooding.

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Section: Risk Assessment and Analysismentioning

confidence: 99%

Low Impact Development Planning and Adaptation Decision-Making under Climate Change for a Community against Pluvial Flooding

Chen

Tung

2017

Water

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“…Furthermore, a theoretically convenient probability distribution function (PDF) is fitted to empirical histograms in order to obtain the population distribution of the rainfall amounts. Similar studies have been considered by many researchers in the literature, such as Gregory (1957), Colling (1961), Chow (1964), Jackson (1969), Taylor & Lawes (1971), Canterford & Pierrehumert (1977), Fiddes (1977), Martin (1988), Abouammoh (1991) and Wallis & Hosking (1993). The main purpose of this paper is to identify the most suitable probability distribution function for the monthly rainfall records all over the study area in Libya.…”

Section: Introductionmentioning

confidence: 77%

Rainfall distribution function for Libya and rainfall prediction

Şen

Eljadid

1999

Hydrological Sciences Journal

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Monthly rainfall amounts are distributed according to different frequency distribution functions in different parts of the world. However, in extremely arid regions gamma probability distribution functions are most often found to fit the existing data well. Libyan monthly rainfall distributions are found to abide by gamma probability distribution function which is confirmed on the basis of chi-square tests. Almost all the rainfall sequences recorded for at least the last 20 years in Libya are investigated statistically and gamma distribution parameters are calculated at existing stations. The shape and scale parameters are then regionalized and hence it becomes possible to find the parameter values at any desired location within the study area and then to generate synthetic sequences according to the gamma distribution. Predictions of 10, 25, 50 and 100 mm rainfall amounts are achieved by this probability function.

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“…The two storms were based on statistical analysis of the historical rainfall data from the Ministry of Environment, Water, and Agriculture rain gauge with a record starting from 1979. The 24-h rainfall accumulations for the 5-year and 100-year, 24-h storms were found to be 31 mm and 73 mm, respectively, using Log-Pearson Type III distribution (LPT III) [48]. Due to the size of the catchment, an area-reduction factor of 0.8.…”

Section: Resultsmentioning

confidence: 99%

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

Sharif

Al-Zahrani

Hassan

2017

Water

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Abstract:A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is located in a very arid catchment. Flooding of the city is influenced by the presence of three major tributaries that join the main channel in and around the heavily urbanized area. The Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG) rainfall product was used due to lack of detailed ground observations. To overcome the heavy computational demand, the catchment was divided into three sub-catchments with a variable model grid resolution. The model was run on three sub-catchments separately, without losing hydrologic connectivity among the sub-catchments. Uncalibrated and calibrated satellite products were used producing different estimates of the predicted runoff. The runoff simulations demonstrated that 85% of the flooding was generated in the urbanized portion of the catchments for the simulated flood. Additional model simulations were performed to understand the roles of the unique channel network in the city flooding. The simulations provided insights into the best options for flood mitigation efforts. The variable model grid size approach allowed using physically-based, distributed models-such as the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model used in this study-on large basins that include urban centers that need to be modeled at very high resolutions.

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A general formula for hydrologic frequency analysis

Cited by 215 publications

References 5 publications

Low Impact Development Planning and Adaptation Decision-Making under Climate Change for a Community against Pluvial Flooding

Low Impact Development Planning and Adaptation Decision-Making under Climate Change for a Community against Pluvial Flooding

Rainfall distribution function for Libya and rainfall prediction

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

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