scholarly journals Hydrological Simulation for Predicting the Future Water Quality of Adyar River, Chennai, India

2019 ◽  
Vol 16 (23) ◽  
pp. 4597 ◽  
Author(s):  
Kumar ◽  
Dasgupta ◽  
Ramaiah ◽  
Avtar ◽  
Johnson ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Population Growth ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Global Changes ◽  
Weap Model ◽  
Hydrological Simulation ◽  
The Future

Just a few decades ago, Adyar River in India’s city of Chennai was an important source of water for various uses. Due to local and global changes (e.g., population growth and climate change), its ecosystem and overall water quality, including its aesthetic value, has deteriorated, and the water has become unsuitable for commercial uses. Adverse impacts of excessive population and changing climate are expected to continue in the future. Thus, this study focused on predicting the future water quality of the Adyar river under “business as usual” (BAU) and “suitable with measures” scenarios. The water evaluation and planning (WEAP) simulation tool was used for this study. Water quality simulation along a 19 km stretch of the Adyar River, from downstream of the Chembarambakkam to Adyar (Bay of Bengal) was carried out. In this analysis, clear indication of further deterioration of Adyar water quality by 2030 under the BAU scenario was evidenced. This would be rendering the river unsuitable for many aquatic species. Due to both climate change (i.e., increased temperature and precipitation) and population growth, the WEAP model results indicated that by 2030, biochemical oxygen demand (BOD) and Escherichia coli concentrations will increase by 26.7% and 8.3%, respectively. On the other hand, under the scenario with measures being taken, which assumes that “all wastewater generated locally will be collected and treated in WWTP with a capacity of 886 million liter per day (MLD),” the river water quality is expected to significantly improve by 2030. Specifically, the model results showed largely reduced concentrations of BOD and E. coli, respectively, to the tune of 74.2% and 98.4% compared to the BAU scenario. However, even under the scenario with measures being taken, water quality remains a concern, especially in the downstream area, when compared with class B (fishable surface water quality desirable by the national government). These results indicate that the current management policies and near future water resources management plan (i.e., the scenario including mitigating measures) are not adequate to check pollution levels to within the desirable limits. Thus, there is a need for transdisciplinary research into how the water quality can be further improved (e.g., through ecosystem restoration or river rehabilitation).

Multivariate statistical techniques for the assessment of surface water quality of Fuji River Basin, Japan

2006 ◽  
Vol 6 (5) ◽  
pp. 59-67 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Point Sources ◽  
Discharge Temperature

Different multivariate statistical techniques were used to evaluate temporal and spatial variations of surface water-quality of Fuji river basin using data sets of 8 years monitoring at 13 different sites. The hierarchical cluster analysis grouped thirteen sampling sites into three clusters i.e. relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics. The principal component analysis/factor analysis indicated that the parameters responsible for water quality variations are mainly related to discharge and temperature (natural), organic pollution (point sources) in LP areas; organic pollution (point sources) and nutrients (non point sources) in MP areas; and organic pollution and nutrients (point sources) in HP areas. The discriminant analysis showed that six water quality parameters (discharge, temperature, dissolved oxygen, biochemical oxygen demand, electrical conductivity and nitrate nitrogen) account for most of the expected temporal variations whereas seven water quality parameters (discharge, temperature, biochemical oxygen demand, pH, electrical conductivity, nitrate nitrogen and ammonical nitrogen) account for most of the expected spatial variations in surface water quality of Fuji river basin.

scholarly journals Assessment of Surface Water Quality of Danube River in Terms of Usual Parameters and Correlation Analyses

2019 ◽  
Vol 70 (2) ◽  
pp. 398-406
Author(s):  
Romana Drasovean ◽  
Gabriel Murariu ◽  
Gigi Constantinescu ◽  
Adrian Circiumaru
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Pearson Correlation ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Danube River ◽  
Index Method

In order to determine the water quality of Danube River, in the Galati area, the Water Quality Index was calculated. Water Quality Index is a useful number of overall qualities of water. Galati is a Danube port city located in south-eastern of Romania. Samples were taken from 9 places along the Danube starting with the place where the Siret flows into the Danube to the Profiland Steel Plant. Profiland Steel is a company in Galai whose main activities are: sheet and zinc strips; treatment and coating of metals. The monitoring period was one year, from November 2016 to December 2017. Every month, thirty physical - chemical parameters were investigated. In this study the assessment of surface water quality was determined on the basis of various indicators such as: potassium and calcium ions, nitrites, nitrates, total nitrogen, ammonium, chlorides, total phosphorus, sulphates, cadmium, chrome, copper, lead, iron, zinc, density, dissolved oxygen, chemical oxygen demand (CCO-Cr), biochemical oxygen demand (CBO5), electrical conductivity, the density of the conductivity, resistivity, pH, salinity, total dissolved solids. The water quality index (WQI) has been calculated by using Weighted Arithmetic Water Quality Index Method. Two types of correlations were developed: Pearson correlation matrix and Spearman correlation.

scholarly journals Application of fuzzy logic in river water quality modelling for analysis of industrialization and climate change impact on Sabarmati river

2021 ◽  
Author(s):  
Anant Patel ◽  
Karishma Chitnis
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Human Life ◽  
Surface Water Quality ◽  
Water Quality Model ◽  
Quality Data ◽  
Quality Model ◽  
Water Quality Data ◽  
Sabarmati River

Abstract Rivers are critical to human life because they are strategically significant in the world, providing primary water supplies for various purposes. Rivers are the prime importance of any country as most of the cities are settled near the river. Due to developmental activities and increase in population, it will results into huge waste generation. Surface water quality is affected because of increasing urbanization and industrialization. The aim of this research is to examine the effect of climate change and industrialization on the water quality of the Sabarmati river using a mathematical model. For this study four important town along the lower Sabarmati River have been considered and water quality data was considered from 2005 to 2015. In this study different water quality parameters were considered to derive water quality model. Results shows the water quality in downstream after Ahmedabad city is worst compare to the other location where the Maximum WQI is 0.71 at Rasikapur and average WQI is 0.50 for the same location for last 15 year. It has been observed that effect of monsoon and also by comparing time scale water quality model role of regulations for industrialization also plays important role in quality of Sabarmati river.

Impact of climate change on the future quality of surface waters: case study of the Ardak River, northeast of Iran

2019 ◽  
Vol 11 (3) ◽  
pp. 685-702 ◽  
Author(s):  
Morteza Nikakhtar ◽  
Seyedeh Hoda Rahmati ◽  
Ali Reza Massah Bavani
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
General Circulation ◽  
Oxygen Demand ◽  
Circulation Model ◽  
Quality Parameters ◽  
Quality Of Water ◽  
Monthly Streamflow

Abstract In recent decades, climate change has influenced the quantity and quality of water resources, affecting water supply for various demands. In this case study, the effects of climate change on the quality of the Ardak River in the northeast of Iran are discussed. The Qual2kW model was used to simulate water quality parameters, by sampling dissolved oxygen (DO), pH, chemical oxygen demand (COD), and NO3. The rainfall-streamflow model IHACRES was used for simulating monthly streamflow. Monthly general circulation model (GCM) temperature and rainfall data from representative concentration pathways (RCP) RCP2.6 and RCP8.5 were downloaded for 1986 to 2005 and 2020 to 2039. The previously verified model LARS-WG was used to predict future temperatures and rainfall. By importing this data into IHACRES, stream flows were simulated, enabling Qual2kW to predict future effects on water quality. Although changes in temperature of 0.5 to 1.2 °C were predicted, maximum changes in temperature and rainfall will occur in winter and summer in series. Therefore, water quality was predicted to decrease only on the Abghad branch, due to increased temperature and lower flow rates. The highest percentage variations in DO and NO3 are −12.19 and 31.25 in RCP8.5 and in COD and PH, −35.4 and 0.29 in RCP2.6.

scholarly journals INFLUENTIAL FACTORS IN SURFACE WATER QUALITY IN CATCHMENTS WITHIN THE PAMPA BIOME WITH DIFFERENT LAND USE1

2015 ◽  
Vol 39 (6) ◽  
pp. 1135-1145 ◽  
Author(s):  
Mirian Lago Valente ◽  
Jussara Cabral Cruz ◽  
Carine Baggiotto ◽  
Catarine Barcellos Consensa
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Statistical Technique ◽  
Influential Factors ◽  
Diffuse Pollution ◽  
Soluble Salts ◽  
Multivariate Statistical ◽  
Biological Variables

The aim of this study was to identify, by multivariate statistical technique, the physic, chemical and biological variables that best characterize the quality of surface waters in two small rural catchments with different land uses (eucalyptus silviculture (SC) vs. pasture and extensive livestock (LC)) located in Rosário do Sul, RS - Brazil. Monitoring was conducted during the months of August 2011 to August 2012 and the following parameters were analyzed: Ca2+, Mg2+, K+, SO42-, Cl-, pH, electrical conductivity, turbidity, alkalinity, suspended and dissolved solids, biochemical oxygen demand , total coliforms, Escherichia coli and temperature, flow and rainfall. Through the use of FA/PCA, it was found that the model best fit to express water quality of in LC that was composed of five factors which account for 83.5% of the total variance, while for SC, four factors accounted for 85.12% of the variance. In LC, the five main factors were, respectively, soluble salts, diffuse pollution, solid, and both anthropogenic and organic factors. In SC, the four factors were namely: soluble salts, mineral, nutritional and diffuse pollution factors. The results of this study showed that by replacing the traditional soil usage (pasture and livestock) with planted forest, diffuse pollution was attenuated but, however, it did not result in major changes in the physical-chemical and biological characteristics of the water. Another point to note is that factorial analysis did not result in a large reduction in the number of variables, once the best model fit occurred with the addition of 15 of 18 analyzed variables (LC) and 17 of 18 analyzed variables (SC).

scholarly journals Water quality of Kahta Stream (Adıyaman) discharging into Atatürk Dam Lake

2019 ◽  
Vol 36 (4) ◽  
pp. 337-346
Author(s):  
Selami Gölbaşı ◽  
Bülent Şen
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Suspended Solid ◽  
Ammonium Nitrogen ◽  
Total Alkalinity ◽  
Significant Difference ◽  
Atatürk Dam Lake ◽  
Reactive Phosphorus

In this study, it is aimed to determine the water quality of Kahta Stream which is poured into Atatürk Dam Lake by following some hydrological and physico-chemical characteristics between April 2012 and March 2013. For this purpose, monthly measurements were made at five stations from the source to the downstream and water samples were taken. During the monitoring period, water temperature 5.0-25.2 °C; electrical conductivity 216-359 μS/cm; total dissolved solids 147-244 mg/L; dissolved oxygen 8.67-13.36 mg/L and pH were measured in range of 7.08-8.76. Suspended solid 2-138 mg/L; turbidity 0.92-96.70 NTU; total alkalinity 102-200 mg/L; chloride 0.71-5.02 mg/L; ammonium nitrogen 0.007-0.400 mg/L; nitrite nitrogen 0.003-0.060 mg/L; nitrate nitrogen 0.12-1.19 mg/L; dissolved reactive phosphorus 0.007-0.033 mg/L; silica 5-23 mg/L; sulphate 8-33 mg/L and chemical oxygen demand were determined betwen 0.63-9.18 mg/L. Kahta Stream with slightly alkaline character, in terms of the parameters monitored, it is determined that the Surface Water Quality Regulation has the characteristics of Class I (high quality water) according to the Environmental Quality Standards. With this characteristic, it has been determined that Kahta Stream has a high potential to be used for drinking water supply, it can be used for re-use, trout farming, animal production and other farm needs. In addition, when the temporal relationship of variables was analyzed statistically, a significant difference was found among all variables except SiO2 (p <0.05). This result shows that the variables are affected by seasonal changes.

scholarly journals River Water Quality and Quantity Determinants in a Developing Country

2021 ◽  
Author(s):  
Ibrahim El Khoury ◽  
Caroline Merheb ◽  
Sophia Ghanimeh ◽  
Maya Atieh ◽  
Marianne Saba
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Wastewater Treatment ◽  
Population Growth ◽  
River Water ◽  
A Priori ◽  
Water Security ◽  
Illustrative Case ◽  
Weap Model ◽  
Low Efficiency

Abstract Developing countries rely to a large extent on international donors to improve water security. Yet, international interventions often end up with low efficiency impacts because of the lack of a priori comprehensive projections. With this in mind, this paper presents a scenario-based methodology to forecast river water quantity and quality in a common multi-stressor situation, that is combined impact of climate change, population growth and wastewater discharge. As an illustrative case, El Kalb River basin, in Lebanon, was simulated under four scenarios up to year 2050, using Water Evaluation and Planning (WEAP) model. The observed trends indicate that mean annual streamflow and flow to groundwater could decrease by around 10 to 23% each due to climate change, while water demand is expected to increase by 16 to 32%. As to water quality, the maximum BOD of 68 mg/L (in 2019) can be decreased by introducing wastewater treatment (starting 2021 as planned by national authorities) to 44 mg/L, only to increase again to 63 mg/L in 2050 due to population growth. Considering climate change, water quality is expected to deteriorate further and the maximum BOD would reach 118 mg/L and 147 mg/L in 2050 under RCP 4.5 and RCP 8.5 scenarios, respectively. Even though the planned wastewater treatment facilities would reduce BOD by 34%, it was shown that the river would never meet water standards – under any of the proposed scenarios. The approach adopted in this paper is recommended for quantification of the efficiency of river protection plans in developing areas.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

Sign in / Sign up

Export Citation Format

Share Document