A coupling simulation based on a hydrodynamics and water quality model of the Pearl River Delta, China

Zhou, Nianqing; Westrich, Bernhard; Jiang, Simin; Wang, Yan

doi:10.1016/j.jhydrol.2010.11.019

Cited by 45 publications

(21 citation statements)

References 18 publications

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“…For parameters AT and WT, significant difference was identified in dry and wet seasons, which were mainly caused by seasonal variation in this region. The similar trends were observed for other parameters such as EC, COD Mn , BOD 5 and NH þ 4 , and significant lower concentrations of them were also detected in wet season. Similar seasonal variation in concentration of BOD 5 was also observed in the Fuji river basin, Japan by Shrestha and Kazama [46].…”

Section: Water Quality Variation and Correlation Of Water Quality Parsupporting

confidence: 81%

“…In wet season, water quality parameters COD Mn , BOD 5 , and NH þ 4 are positively contributed to the VF1 which represents 37.16% of the total variance. While DO negatively contributed to the VF1.…”

Section: Pollution Source Induced Changes Of Water Quality Between Drmentioning

confidence: 99%

“…Many new cities have appeared on the previous farm lands with the rapid economic development and urbanization. Meanwhile, the environmental quality especially river water quality in this region is deteriorating due to the increased discharges of untreated domestic sewage, industrial wastewater, and rural non-point pollution arising from the rapid economic growth [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…For now, more concerns focus on the potential water quality assessment in the rapidly urbanizing PRD [4,5,15,17,18]. The changes of water quality are attributed to a number of natural or anthropogenic factors.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Fan

Cui

Zhang

et al. 2012

CLEAN Soil Air Water

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In the Pearl River Delta (PRD), river water quality deteriorates continually due to the population increase and ongoing industrialization and urbanization. In this study, a water quality management paradigm based on the seasonal variation is proposed. For better exploring the seasonal change of water quality, wavelet analysis was used to analyze the division of dry and wet seasons in the PRD during 1952PRD during -2009. Then water quality seasonal variation in 2008 and relevant impact factors were analyzed by multivariate statistic methods as a case to make some management measures. The results show that there are some differences of dry and wet seasons division among different years. Wet season mainly appear from April to September, which occupy the largest proportion among the 58 years (about 70%) and then followed by the wet season from May to October (about 13.8% of the total years). As to the water quality of 2008, significant differences exist between dry and wet seasons for 17 water quality parameters except TP, NO À 3 , Fe 2þ , and Zn 2þ . Levels of parameters pH, EC, COD Mn , BOD 5 , NH þ 4 , SO 2À 4 , and Cl À in dry season are much higher than those in wet season. In dry season the variations of river water quality are mainly influenced by domestic sewage, industrial effluents, and salt water intrusion. While in wet season, except the aforementioned pollution sources, drainages from cultivated land and livestock farm are also the main factors influencing water pollution. Thus, water quality management measures are proposed in dry and wet seasons, respectively. The results obtained from this study would further facilitate water quality protection and water resources management in the PRD.

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Section: Water Quality Variation and Correlation Of Water Quality Parsupporting

confidence: 81%

Section: Pollution Source Induced Changes Of Water Quality Between Drmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Fan

Cui

Zhang

et al. 2012

CLEAN Soil Air Water

View full text Add to dashboard Cite

show abstract

“…Water quality models play a critical role in the evaluation of management alternatives prior to project implementation (Kuo et al 2005;Ji 2008;Vijay et al 2010a;Zhou et al 2011;Dunn et al 2014) and provide a basis for economic analysis (Jakobsen et al 2007;Vijay et al 2010b). These modelling studies considered the impact of effluent discharges on the coastal water quality with one or more parameters (Vijay et al 2010a).…”

Section: Introductionmentioning

confidence: 99%

Impact of sewage discharges on coastal water quality of Mumbai, India: present and future scenarios

Vijay

Mardikar

Kumar

2016

Environ Monit Assess

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The simulation study assesses the impact of sewage discharges on the present and predicted water quality of the Mumbai coast using MIKE 21. Water quality parameters in terms of dissolved oxygen (DO), biochemical oxygen demand (BOD) and faecal coliform (FC) are checked against specified standards. The simulation is validated for the present coastal hydrodynamics and observed water quality parameters. The validated model is further used for predicting scenarios in terms of upgradation in a pumping station and improvement in wastewater collection, treatment level and disposal systems. The water quality of the existing coastal environment does not conform to the stipulated standards but improves considerably in the prediction scenarios. However, despite a marked improvement in FC, it is not as per desired standards as no treatment for bacteria removal is considered. The simulation study emphasizes the need for exploring options like the reuse or recycle of treated effluent, as an effort for water conservation.

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Construction of River Channel‐wetland Networks for Controlling Water Pollution in the Pearl River Delta, China

Fan

Cui

Zhang

et al. 2012

CLEAN Soil Air Water

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Water pollution has been a serious problem with rapid urban development in the Pearl River Delta. In the paper, a river channel-wetland network (RCWN) was constructed to improve the situation of water pollution. At first, the assimilative capacity of each river was calculated for the main pollutants (biological oxygen demand and ammonia nitrogen selected) to investigate the water pollution degree; secondly, sites of wetlands used to alleviate the water pollution level of the heavily polluted rivers were identified according to original water bodies; then, the wetland areas connected with rivers were determined by analyzing wetland uptake rate, pollutant amount needed to reduce and the retention time. Based on the information above, the RCWN was constructed by connecting river channels with wetlands, here the wetlands and the confluences of river channels were used as the nodes, and river channels were used as the links between nodes. The results showed with the different retention time, the largest wetland areas required by the RCWN were also different for better improving the river water quality, and the wetland areas would be reduced with the retention time increased. The network composed of river channel and wetlands could efficiently control river water pollution. This study provides a useful tool for river water resources management based on the best available data and knowledge.Abbreviations: BOD 5 , biological oxygen demand; HWS, high water slack; LWS, low water slack; NH 4 þ -N, ammonia nitrogen; PRD, Pearl River Delta; RCWN, river channel-wetland network

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A coupling simulation based on a hydrodynamics and water quality model of the Pearl River Delta, China

Cited by 45 publications

References 18 publications

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Impact of sewage discharges on coastal water quality of Mumbai, India: present and future scenarios

Construction of River Channel‐wetland Networks for Controlling Water Pollution in the Pearl River Delta, China

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