scholarly journals Flood routing via a copula-based approach

2021 ◽  
Author(s):  
Mohammad Nazeri Tahroudi ◽  
Yousef Ramezani ◽  
Carlo De Michele ◽  
Rasoul Mirabbasi

Abstract Floods are among the most common natural disasters that if not controlled may cause severe damage and high costs. Flood control and management can be done using structural measures that should be designed based on the flood design studies. The simulation of outflow hydrograph using inflow hydrograph can provide useful information. In this study, a copula-based approach was applied to simulate the outflow hydrograph of various floods, including the Wilson River flood, the River Wye flood and the Karun River flood. In this regard, two-dimensional copula functions and their conditional density were used. The results of evaluating the dependence structure of the studied variables (inflow and outflow hydrographs) using Kendall's tau confirmed the applicability of copula functions for bivariate modeling of inflow and outflow hydrographs. The simulation results were evaluated using the root-mean-square error, the sum of squared errors and the Nash–Sutcliffe efficiency coefficient (NSE). The results showed that the copula-based approach has high performance. In general, the copula-based approach has been able to simulate the peak flow and the rising and falling limbs of the outflow hydrographs well. Also, all simulated data are at the 95% confidence interval. The NSE values for the copula-based approach are 0.99 for all three case studies. According to NSE values and violin plots, it can be seen that the performance of the copula-based approach in simulating the outflow hydrograph in all three case studies is acceptable and shows a good performance.

2012 ◽  
Vol 594-597 ◽  
pp. 1877-1881
Author(s):  
Ping Yu ◽  
Ping Feng ◽  
Shu Hong Sun

Investigate on the information of river basin and river way in Dianbei Provisional Detention Basin, use the Preissmann four point implicit difference scheme for the discrete solution of Saint Venant equation, and establish the mathematical model of flood routing for hydraulic. Analyze and evaluate the backwater of construction in Dianbei Provisional Detention Basin, and the Yongding River flood control criteria are combined. The result indicates that water level caused by the implementation of construction project is very small, and the influence to flood control in flood detention area and the adjacent area is very limited, so the project will not affect the flood release in detention basin.


Author(s):  
Babak Bayat

Nonstructural flood damage minimization through optimizing a short term multi-reservoir system operation is considered in this paper using a simulation-based optimization model. The well known evolutionary computation technique of particle swarm optimization (PSO) has been combined with a simulation model of river flood routing. The hydraulic routing model includes numerical solution of unsteady gradually varied flow equations by Preissmann method. The developed model has been used in a three-reservoir system as a real case study southwest of Iran. The results show applicability and efficiency of the proposed simulation-optimization model in determining optimal reservoir releases.


2015 ◽  
Vol 32 (6) ◽  
pp. 617-634 ◽  
Author(s):  
Jorge Alberto Achcar ◽  
Fernando Antonio Moala

Purpose – The purpose of this paper is to provide a new method to estimate the reliability of series system by using copula functions. This problem is of great interest in industrial and engineering applications. Design/methodology/approach – The authors introduce copula functions and consider a Bayesian analysis for the proposed models with application to the simulated data. Findings – The use of copula functions for modeling the bivariate distribution could be a good alternative to estimate the reliability of a two components series system. From the results of this study, the authors observe that they get accurate Bayesian inferences for the reliability function considering large samples sizes. The Bayesian parametric models proposed also allow the assessment of system reliability for multicomponent systems simultaneously. Originality/value – Usually, the studies of systems reliability engineering assume independence among the component lifetimes. In the approach the authors consider a dependence structure. Using standard classical inference methods based on asymptotical normality of the maximum likelihood estimators for the parameters the authors could have great computational difficulties and possibly, not accurate inference results, which there is not found in the approach.


2020 ◽  
Vol 51 (6) ◽  
pp. 1332-1348 ◽  
Author(s):  
Mohammad Nazeri Tahroudi ◽  
Yousef Ramezani ◽  
Carlo De Michele ◽  
Rasoul Mirabbasi

Abstract The complex hydrological events such as storm, flood and drought are often characterized by a number of correlated random variables. Copulas can model the dependence structure independently of the marginal distribution functions and provide multivariate distributions with different margins and the dependence structure. In this study, the conditional behavior of two signatures was investigated by analyzing the joint signatures of groundwater level deficiency and rainfall deficiency in Naqadeh sub-basin in Lake Urmia Basin using copula functions. The study results of joint changes in the two signatures showed that a 90–135 mm reduction in rainfall in the area increased groundwater level between 1.2 and 1.7 m. The study results of the conditional density of bivariate copulas in the estimation of groundwater level deficiency values by reducing rainfall showed that changes in values of rainfall deficiency signature in the sub-basin led to the generation of probability curves of groundwater level deficiency signature. Regarding the maximum groundwater level deficiency produced, the relationship between changes in rainfall deficiency and groundwater level deficiency was calculated in order to estimate the groundwater level deficiency signature values. The conditional density function presented will be an alternative method to the conditional return period.


2006 ◽  
Vol 05 (03) ◽  
pp. 483-493 ◽  
Author(s):  
PING LI ◽  
HOUSHENG CHEN ◽  
XIAOTIE DENG ◽  
SHUNMING ZHANG

Default correlation is the key point for the pricing of multi-name credit derivatives. In this paper, we apply copulas to characterize the dependence structure of defaults, determine the joint default distribution, and give the price for a specific kind of multi-name credit derivative — collateralized debt obligation (CDO). We also analyze two important factors influencing the pricing of multi-name credit derivatives, recovery rates and copula function. Finally, we apply Clayton copula, in a numerical example, to simulate default times taking specific underlying recovery rates and average recovery rates, then price the tranches of a given CDO and then analyze the results.


2017 ◽  
Vol 39 (6) ◽  
pp. 431 ◽  
Author(s):  
T. A. Jones

Ecological restoration in the United States is growing in terms of the number, size, and diversity of projects. Such efforts are intended to ameliorate past environmental damage and to restore functioning ecosystems that deliver desired levels of ecosystem services. In nine current restoration case studies from across the continental United States, this paper details (1) the impacts of the original disturbance and compounding secondary issues that compel restoration, (2) the corrective practices applied to advance restoration goals, and (3) the prospects for recovery of ecosystem services, including those involving associated animal populations. Ecosystem-altering impacts include flood control (Kissimmee River), flood control and navigation (Atchafalaya Basin), damming for irrigation-water storage (Colorado River) and hydroelectric power (Elwha River), logging and fire suppression (longleaf pine forest), plant invasions that decrease fire-return intervals (Great Basin shrublands, Mojave Desert), nutrient and sediment loading of watersheds (Chesapeake Bay, Mississippi River delta), and conversion of natural lands to agriculture (tallgrass prairie). Animal species targeted for recovery include the greater sage-grouse (Great Basin shrublands), the red-cockaded woodpecker (longleaf pine forest), the south-western willow flycatcher (Colorado River and its tributaries), the desert tortoise (Mojave Desert), eight salmonid fish (Elwha River), and the blue crab and eastern oyster (Chesapeake Bay).


2021 ◽  
Author(s):  
Anning Hu ◽  
Zhipeng Zhou

The sociological analysis of the mobility tables enhances the examination of the circulation mobility and helps one reveal the nuanced morphological patterns of mobility. In contrast, the economic analysis based on the measure of elasticity provides a handy way of covariate conditioning and statistically testing the similarities of mobility patterns across groups. In this article, we argue that the distinct methodological merits of these two approaches can be equipped by adopting a more comprehensive analytical framework using the copula functions: (1) The copula functions concern the dependence structure that is independent from the margins, which enable scholars to focus on the relative mobility; (2) The copula density, estimated either parametrically or non-parametrically, reveals the nuanced morphological mobility patterns; (3) By residualizing the marginal variables, the detected mobility pattern can be interpreted in a stronger causal sense; and (4) the Cramér–von Mises Test offers an easy-to-use statistic to conduct intergroup comparison of mobility patterns. The copula-based framework is illustrated by investigating the income mobility between 1978 and 2017 in the U.S., using the National Longitudinal Survey of Youth 1979 (NLSY79).


2018 ◽  
Vol 94 (3) ◽  
pp. 1057-1080 ◽  
Author(s):  
Mohammad R. Hassanvand ◽  
Hojat Karami ◽  
Sayed-Farhad Mousavi

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  

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