Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application

Lim, Kyoung Jae; Park, Youn Shik; Kim, Jonggun; Shin, Youngsoo; Kim, Nam Won; Kim, Seong Joon; Jeon, Ji-Hong; Engel, Bernard A.

doi:10.1016/j.cageo.2010.01.004

Cited by 67 publications

(38 citation statements)

References 15 publications

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“…Peters and Van Lanen (2005) and Brodie and Hostetler (2005) state that the inherent disadvantage of the recursive filters is that they rely only on the hydrograph form, without a sustainable base of physical parameters. To overcome this problem, Ghanbarpour, Teimouri and Gholami (2008), Asmeron (2008), Tularam and Ilahee (2008) and Lim et al (2007Lim et al ( , 2010 proposed the possibility of calibrating the recursive filter parameters, based on the recession curve analysis of the hydrograph.…”

Section: Base Flow Estimationmentioning

confidence: 99%

Estimation of flow components by recursive filters: case study of Paracatu River Basin (SF-7), Brazil

Vasconcelos

Junior

Hadad

2013

Geol. USP, Sér. cient.

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The quantification of flow components is important for water resource management. The base, interflow, and runoff flows of nested basins of the Paracatu River (SF-7) were estimated with recursive signal filters in this study. At first, stationary analysis and multivariate gap filling were applied to the flow data. A methodology is presented, proposing filter calibration with the runoff influence and inflection of the recession curve for dry season. Filters are improved with a logic constraint that limits water flow overestimation within algorithm iteration. The results were coherent with previous studies and with hydrogeological and climatological maps.Keywords: Hydrogeology; Hydrology; Recursive signal filters; Base flow; Aquifers; Water resource management.Resumo A quantificação dos componentes de vazão é importante para a gestão de recursos hídricos. Empregaram-se, neste estudo, filtros recursivos de sinais para delimitação dos fluxos de base, interfluxo e rápido de sub-bacias aninhadas na Bacia do Rio Paracatu (SF-7). Preliminarmente, os dados de vazão tiveram sua consistência avaliada por meio de análises de estacionalidade e preenchimento multivariado das lacunas de dados. Apresenta-se uma metodologia em que os filtros são calibrados pela influência do escoamento superficial e pela inflexão na curva de recessão do período sazonal de seca. Os filtros foram aprimorados por uma restrição lógica, que limita a sobre-estimação da vazão à cada iteração do algoritmo. Os resultados foram condizentes com estudos prévios e com mapeamentos hidrogeológicos e climatológicos.

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Section: Base Flow Estimationmentioning

confidence: 99%

Estimation of flow components by recursive filters: case study of Paracatu River Basin (SF-7), Brazil

Vasconcelos

Junior

Hadad

2013

Geol. USP, Sér. cient.

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“…Developed by Holland [26], the genetic algorithm has solved sophisticated problems and has been applied for various areas, such as business, engineering, and science [27,28]. To determine the coefficients, three operators work through 500 generations, which are the selection operator to reproduce population with fitter individuals, the crossover operator to create offspring with combined strong individuals, and the mutation operator to alter partial characteristics of offspring at random.…”

Section: Regression Model To Estimate Loadsmentioning

confidence: 99%

A Web-Based Tool to Interpolate Nitrogen Loading Using a Genetic Algorithm

Park

Engel

2014

Water

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Water quality data may not be collected at a high frequency, nor over the range of streamflow data. For instance, water quality data are often collected monthly, biweekly, or weekly, since collecting and analyzing water quality samples are costly compared to streamflow data. Regression models are often used to interpolate pollutant loads from measurements made intermittently. Web-based Load Interpolation Tool (LOADIN) was developed to provide user-friendly interfaces and to allow use of streamflow and water quality data from U.S. Geological Survey (USGS) via web access. LOADIN has a regression model assuming that instantaneous load is comprised of the pollutant load based on streamflow and the pollutant load variation within the period. The regression model has eight coefficients determined by a genetic algorithm with measured water quality data. LOADIN was applied to eleven water quality datasets from USGS gage stations located in Illinois, Indiana, Michigan, Minnesota, and Wisconsin states with drainage areas from 44 km 2 to 1,847,170 km 2 . Measured loads were calculated by multiplying nitrogen data by streamflow data associated with measured nitrogen data. The estimated nitrogen loads and measured loads were evaluated using Nash-Sutcliffe Efficiency (NSE) and coefficient of determination (R 2 ). NSE ranged from 0.45 to 0.91, and R 2 ranged from 0.51 to 0.91 for nitrogen load estimation.

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“…One module uses a genetic-algorithm (GA), and the other uses the bisection method. The algorithm is based on the principles of natural evolution and survival of the fittest and sets up a population of individuals for a given problem, consisting of a stochastic strategy, which imitates the evolution of natural organisms [30,31]. Solving sophisticated problems effectively, the algorithm has been used for various areas, such as business, engineering and science [32], and is deemed as a powerful method to solve highly complex problems.…”

Section: Auto-calibration Modulesmentioning

confidence: 99%

A Web-Based Model to Estimate the Impact of Best Management Practices

Park

Engel

Harbor

2014

Water

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Abstract:The Spreadsheet Tool for the Estimation of Pollutant Load (STEPL) can be used for Total Maximum Daily Load (TMDL) processes, since the model is capable of simulating the impacts of various best management practices (BMPs) and low impact development (LID) practices. The model computes average annual direct runoff using the Soil Conservation Service Curve Number (SCS-CN) method with average rainfall per event, which is not a typical use of the SCS-CN method. Five SCS-CN-based approaches to compute average annual direct runoff were investigated to explore estimated differences in average annual direct runoff computations using daily precipitation data collected from the National Climate Data Center and generated by the CLIGEN model for twelve stations in Indiana. Compared to the average annual direct runoff computed for the typical use of the SCS-CN method, the approaches to estimate average annual direct runoff within EPA STEPL showed large differences. A web-based model (STEPL WEB) was developed with a corrected approach to estimate average annual direct runoff. Moreover, the model was integrated with the Web-based Load Duration Curve Tool, which identifies the least cost BMPs for each land use and optimizes BMP selection to identify the most cost-effective BMP implementations. The integrated tools provide an easy to use approach for performing TMDL analysis and identifying cost-effective approaches for controlling nonpoint source pollution. OPEN ACCESSWater 2014, 6 456

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Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application

Cited by 67 publications

References 15 publications

Estimation of flow components by recursive filters: case study of Paracatu River Basin (SF-7), Brazil

Estimation of flow components by recursive filters: case study of Paracatu River Basin (SF-7), Brazil

A Web-Based Tool to Interpolate Nitrogen Loading Using a Genetic Algorithm

A Web-Based Model to Estimate the Impact of Best Management Practices

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