A water quality modeling study of the Nakdong River, Korea

Park, Seok Soon; Lee, Yong Seok

doi:10.1016/s0304-3800(01)00489-6

Cited by 133 publications

(68 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Park and Lee (2002), Paliwal, Sharma and Kansal (2007), Zhu et al (2008), Zhang et al (2012), Salla et al (2013) and Calmon et al (2016) works, for example, illustrate how water quality mathematical models can support the evaluation of raw or treated effluents final disposal effects on surface watercourses. However, water quality mathematical simulation alone does not indicate the optimal solutions for sewage treatment systems definition problems.…”

Section: Introductionmentioning

confidence: 99%

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Fantin

Reis

Mendonça

2017

RBRH

View full text Add to dashboard Cite

The selection of sewage treatment plants within watersheds is a complex process when there are multiple outflows presenting different loads and watercourses presenting different assimilation capabilities. In this context, the present study aims to establish a methodology for pre-selection of wastewater treatment alternatives within watersheds. The methodology involves the combined use of water quality model, optimization technique and a set of technical and economic criteria associated with different wastewater treatment systems. To evaluate the proposed methodology there were considered different effluent disposal scenarios in the Pardo river watershed. Pardo is a major tributary of the Itapemirim river, watercourse located in the southern portion of Espírito Santo State, Brazil. The results indicated that the optimization model, that aimed to minimize wastewater treatment efficiencies within the watershed, considering watercourses self-purification capacities, selected treatment systems ranging from the combination of UASB and polishing lagoons systems to slow infiltration, treatment alternatives that presented the lowest net cost estimates. The incorporation of equity perspective between treatment systems increased the total present net cost associated with wastewater treatment within the watershed.Keywords: Water quality model; Optimization; Genetic algorithm; Wastewater treatment. RESUMOO processo de seleção de uma estação de tratamento de esgoto é complexo quando observado do ponto de vista de uma bacia hidrográfica, onde existem múltiplos lançamentos apresentando diferentes cargas e corpos d'água com diferentes capacidades de assimilação. Neste contexto, a presente pesquisa tem como objetivo estabelecer metodologia para a pré-seleção de alternativas de tratamento de esgoto no âmbito de bacias hidrográficas. A proposta metodológica envolve o uso combinado de modelo de qualidade de água, técnica de otimização e um conjunto de critérios de natureza técnica e econômica associados aos diferentes sistemas de tratamento de esgotos. Para avaliação da metodologia proposta foram considerados diferentes cenários de disposição de efluentes na bacia hidrográfica do rio Pardo, importante afluente do rio Itapemirim, curso d'água da porção sul do estado do Espírito Santo. Os resultados indicaram que o modelo de otimização que buscou a minimização das eficiências de tratamento no âmbito da bacia, permitindo uso da capacidade e de autodepuração dos cursos d'água, selecionou sistemas de tratamento que variaram da combinação de reatores UASB e lagoas de polimento a sistemas de infiltração lenta, alternativas de tratamento que apresentaram menores estimativas de custos presentes líquidos. A incorporação da equidade entre os sistemas de tratamento aumentou significativamente os custos presentes líquidos totais associados ao tratamento de esgoto no âmbito da bacia hidrográfica.Palavras-chave: Modelo de qualidade de água; Otimização; Algoritmo genético; Tratamento de esgotos.RBRH, Porto Alegre, v. 22, e12, 2017Proposal o...

show abstract

Section: Introductionmentioning

confidence: 99%

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Fantin

Reis

Mendonça

2017

RBRH

View full text Add to dashboard Cite

show abstract

“…Qual2E is a modeling method developed by Brown and Barnwell [1987] that simplified the condition of water quality along the rivers especially based on the level of Dissolved Oxygen (DO) and Biological Oxygen Demand (BOD) [Fatmawati et al, 2012]. Park and Lee [2002] developed Qual2E into Qual2K with additional tools, such as extensive computation structures, more representative water quality parameters (i.e. BOD, DO, and denitrification), and an increase in the quantities of confluence, river segments, and measurement elements.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River

Setiawan

Widyastuti

Hadi

2018

IJG

View full text Add to dashboard Cite

Considering the abundance of potential pollutant sources along Bedog River, i.e. highly dense residential areas, agricultural lands, and industrial areas, this study aimed to quantitatively assess the Pollutant Load (PL) and Pollutant Carrying Capacity (PCC) of the river based on Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD)parameters. The assessment employed a water quality modeling using Qual2Kw that provided not only the comprehensive values of PL and PCC but also the amount of PL that should be reduced to meet the PCC of every river segment. Water sampling and primary parameter measurement were conducted purposively in seven observation points, which included one point source and six non-point sources (river segments). River segments were determined according to the characteristics of land use and drainage system. Descriptive, graphic, and spatial analyses on water quality modeling show that the COD and BOD of Bedog River (2.24 km) indicates a small presence of PL compared to the river's PCC. The PCC allows additional pollutant loads of 566.95 kg/day or 0.024 ton/hour BOD and 22,965.12 kg/ day or 0.96 ton/hour COD. However, a high BOD in segments 3, 5, and 6 and a high COD in segment 5 imply the needs for PL reduction. Abstrak Sungai Bedog merupakan salah satu sungai yang melalui area padat permukiman, peternakan, dan aktivitas pertanian, serta industri rumah tangga. Penelitian ini bertujuan untuk mengetahui nilai beban pencemar (BP) dan nilai daya tampung beban pencemar (DT) untuk parameter COD dan BOD. Berdasarkan paremeter ini dapat diketahui juga nilai beban pencemar yang harus dikurangi agar sesuai dengan nilai daya tampung beban pencemar per penggal sungai. Pemodelan kualitas air dengan Qual2Kw digunakan untuk pendapatkan nilai beban pencemar dan nilai daya tampung beban

show abstract

“…QUAL2K model that evolved in QUAL2E is one of QUAL series models developed by the United States Environmental Protection Agency and applies to small and medium-sized dendritic rivers which mix well [2][3][4]. In order to solve some water quality problems, Seok Soon Park et al [5] applied the above-mentioned two models to the Nakdong River, Korea and found simulated results of QUAL2K model was relatively more consistent with the measured values. Guo et al [6] discussed water quality trends of the middle and lower reaches of Hanjiang River by QUAL2E and QUAL2K model with BOD as the predictor, and the results indicated that QUAL2K reflected the field data better than QUAL2E.…”

Section: Introductionmentioning

confidence: 99%

Simulating Water Quality of Wei River with QUAL2K Model, a Case Study of Hai River Basin in China

2016

View full text Add to dashboard Cite

Abstract. QUAL2K model is used to simulate the water quality of Wei River and the verification results are analyzed in this paper. For the actual situation of pollution in Wei River Basin, COD, ammonia nitrogen and total phosphorus are chosen as indexes of water quality prediction. The degradation coefficient of them, being one important water quality parameter, is calculated as 0.2428, 0.1019 and 0.2554, respectively. Conduct parameter setting and compared with the measured values combining comprehensive one-dimensional water quality model formula, with the measured data, then make adjustments to get new degradation coefficient with the values are 0.3631, 0.2046 and 0.2545, respectively. The simulation results are verified and showed that the predicted values fit with the measured ones well, the relative errors of COD, ammonia nitrogen and total phosphorus concentration are within 10%, and the simulation effect is good.

show abstract

A water quality modeling study of the Nakdong River, Korea

Cited by 133 publications

References 8 publications

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River

Simulating Water Quality of Wei River with QUAL2K Model, a Case Study of Hai River Basin in China

Contact Info

Product

Resources

About