Refined Simulation Method of the Rainfall–Runoff Processes in a Residential Area with LID Measures

AbstractThe aim of this work is to study the temporal evolution of the rainfall-runoff relations of four basins in northwestern Algeria: the Tafna Maritime, Isser Sikkak, downstream Mouilah and Upper Tafna basins. The adopted approach consists of analyzing hydroclimatic variables using statistical methods and testing the nonstationarity of the rainfall-runoff relation by the cross-simulation method using the GR2M model. The results of the different statistical methods applied to the series of rainfall and hydrometric variables show a decrease due to a break in stationarity detected since the mid-1970s and the beginning of the 1980s. The annual rainfall deficits reached average values of 34.6% during the period of 1941–2006 and 29.1% during the period of 1970–2010. The average annual wadi flows showed average deficits of 61.1% between 1912 and 2000 and 53.1% between 1973 and 2009. The GR2M conceptual model simulated the observed hydrographs in an acceptable manner by providing calculated runoff values in the calibration and validation periods greater or less than the observed runoff values. The application of the cross-simulation method highlighted the nonstationarity of the rainfall-runoff relations in three of the four studied basins, indicating downward trends of monthly runoff.

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Rainfall-Runoff Simulation of Residential Area Using Linear Reservoirs Model

PROCEEDINGS OF THE JAPANESE CONFERENCE ON HYDRAULICS ◽

10.2208/prohe1975.29.61 ◽

1985 ◽

Vol 29 ◽

pp. 61-66

Keyword(s):

Residential Area ◽

Rainfall Runoff ◽

Runoff Simulation

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An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods

Hydrology and Earth System Sciences ◽

10.5194/hess-6-267-2002 ◽

2002 ◽

Vol 6 (2) ◽

pp. 267-284 ◽

Cited By ~ 24

Author(s):

M.C. Rulli ◽

R. Rosso

Keyword(s):

River Basin ◽

Frequency Analysis ◽

Extreme Values ◽

Flash Flood ◽

Simulation Method ◽

Flood Frequency ◽

Flood Frequency Analysis ◽

Rainfall Runoff ◽

Rainfall Runoff Model ◽

Runoff Model

Abstract. A stochastic rainfall generator and a deterministic rainfall-runoff model, both distributed in space and time, are combined to provide accurate flood frequency prediction in the Bisagno River basin (Thyrrenian Liguria, N.W. Italy). The inadequacy of streamflow records with respect to the return period of the required flow discharges makes the stochastic simulation methodology a useful operational alternative to a regionalisation procedure for flood frequency analysis and derived distribution techniques. The rainfall generator is the Generalized Neyman-Scott Rectangular Pulses (GNSRP) model. The rainfall-runoff model is the FEST98 model. The GNSRP generator was calibrated using a continuous 7-years' record of hourly precipitation measurements at five raingauges scattered over the Bisagno basin. The calibrated rainfall model was then used to generate a 1000 years' series of continuous rainfall data at the gauging sites and a flood-oriented model validation procedure was developed to evaluate the agreement between observed and simulated extreme values of rainfall at different scales of temporal aggregation. The synthetic precipitation series were input to the FEST98 model to provide flood hydrographs at selected cross-sections across the river network. Flood frequency analysis of the annual flood series (AFS) obtained from these simulations was undertaken using L-moment estimations of Generalized Extreme Value (GEV) distributions. The results are compared with those determined by applying a regional flood analysis in Thyrrhenian Liguria and the derived distribution techniques to the Bisagno river basin. This approach is also useful to assess the effects of changes in land use on flood frequency regime (see Rosso and Rulli, 2002). Keywords: flood frequency, stochastic rainfall generator, distributed rainfall runoff model, derived distribution

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Pollution feature analysis on heavy metals in rainfall runoff of Qingdao residential area

Proceedings of the 2015 International Forum on Energy, Environment Science and Materials ◽

10.2991/ifeesm-15.2015.228 ◽

2015 ◽

Author(s):

Chunrong Zhang ◽

Chunjin Zhang ◽

Zongjun Gao ◽

Zhenglong Wu

Keyword(s):

Heavy Metals ◽

Residential Area ◽

Feature Analysis ◽

Rainfall Runoff

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Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽

10.1027/1614-2241/a000124 ◽

2017 ◽

Vol 13 (1) ◽

pp. 9-22 ◽

Cited By ~ 1

Author(s):

Pablo Livacic-Rojas ◽

Guillermo Vallejo ◽

Paula Fernández ◽

Ellián Tuero-Herrero

Keyword(s):

Repeated Measures ◽

Statistical Power ◽

Mixed Model ◽

Covariance Structure ◽

Simulation Method ◽

Future Research ◽

Repeated Measures Design ◽

Fixed And Random Effects ◽

Split Plot ◽

High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

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Simulation of Rainfall-Runoff in the Deep Hollow Lake Watershed Using an Integrated Surface-Subsurface Flow Model

World Environmental and Water Resources Congress 2007 ◽

10.1061/40927(243)176 ◽

2007 ◽

Author(s):

Zhiguo He ◽

Weiming Wu ◽

Yongping Yuan ◽

Sam S. Y. Wang

Keyword(s):

Flow Model ◽

Subsurface Flow ◽

Rainfall Runoff

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THE PARTICULAR STRUCTURAL TRAITS OF THE MIGRATION CATHOLIC COMMUNITY IN THE SOUTHERN VIETNAM

Science and Technology Development Journal ◽

10.32508/stdj.v13i3.2157 ◽

2010 ◽

Vol 13 (3) ◽

pp. 5-20

Author(s):

Loc Duc Nguyen

Keyword(s):

Historical Context ◽

Residential Area ◽

Religious Community ◽

Viet Nam ◽

Religious Organization ◽

Religious Activities ◽

Economic Activities ◽

Southern Vietnam ◽

Kinship Structure ◽

Structural Traits

The Vietnamese Catholic community is not only a religious community but also a traditional village with relationships based on kinship and/or sharing the same residential area, similar economic activities, and religious activities. In this essay, we are interested in examining migrating Catholic communities which were shaped and reshaped within the historical context of Viet Nam war in 1954. They were established after the migration of millions of Catholics from Northern to Southern Viet Nam immediately after Geneva Agreement in 1954. Therefore, by examining the particular structural traits of the emigration Catholic Communities we attempt to reconstruct the reproducing process of village structure based on the communities’ triple structure: kinship structure, governmental structure and religious organization.

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