Application of chemometric analysis for identifying pollution sources: a case study on the River Adyar, India

2009 ◽  
Vol 60 (12) ◽  
pp. 1254 ◽  
Author(s):  
T. Venugopal ◽  
L. Giridharan ◽  
M. Jayaprakash

The various factors responsible for the chemical budget and pollution of river water have been evaluated and characterised using various statistical tools. The potential sources of pollution that alter the chemical composition of River Adyar water have been identified and quantified. Thirty-three samples were collected from the River Adyar and basic chemical parameters and heavy metals were interpreted by the systematic application of statistical techniques. The relationships among the various ions were examined and the sources of origin were evaluated using correlation studies. An R-mode factor analysis revealed that the chemistry of the river water largely depends on anthropogenic activities, rock–water interaction and saline water intrusion. A cluster analysis was applied and the major and minor clusters for pre-monsoon and post-monsoon seasons were classified. This classification was found to be in line with the results of the R-mode factor analysis. Seasonal variation in the chemistry and pollution level of the river water was clearly indicated by both cluster and factor analyses. Factor scores, which give vital information on the variation of the factors by station, were successfully applied. The contributing factors and any seasonal effect on the stations were evaluated and interpreted.

Water Policy ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 266-281 ◽  
Author(s):  
Fawzia Tarannum ◽  
Arun Kansal ◽  
Prateek Sharma

Abstract The paper aims to understand how the public perceives river water quality and related risks and behaviour. Using the stratified semi-purposive sampling process, the study explores the perception of people residing along the river Yamuna in India. The method applied involved a structured questionnaire survey of 2706 respondents and four focused group discussions with people residing within two kilometres of the river bank. Non-parametric tests such as Kruskal Wallis, Mann Whitney U-test and One-Sample Wilcoxon Signed-Rank Test were used to analyse the data. The findings suggest that the majority of the respondents formulate their perceptions using non-scientific methods like sensorial and heuristics. Perception on sources of pollution is shaped by personal experiences and people do not perceive diffused sources of pollution that affect river water quality. Respondents attributed the pollution in the river to anthropogenic activities and their risk perception was found to be linked to their direct dependence on the river for their daily needs. The paper suggests behavioural change strategies to focus on social, governance, and technological drivers.


2021 ◽  
Vol 5 (1) ◽  
pp. 89-104
Author(s):  
Amelia Ika Puspitasari ◽  
Elida Novita ◽  
Hendra Andiananta Pradana ◽  
Bambang Hery Purnomo ◽  
Titien Setiyo Rini ◽  
...  

Bedadung River is used as sources of raw water by The Drinking Water Company (PERUMDAM) and also for agricultural irrigation. The urban segment of Bedadung River flows through Patrang, Sumbersari and Kaliwates Districts. The burden of pollution in the Bedadung River is increasing along with community activities. Apart from anthropogenic activities originating from domestic waste, sources of pollution in the Bedadung River are also come from agricultural activities (fertilizer and pesticides), industrial activities, population growth, organic and inorganic waste, urban development and weak management systems. The research objectives were to identify the behavior and perception of the urban segment communities on water pollution at Bedadung River. This study used primary data from survey using 400 respondents and secondary data from some institutions. Survey showed that majority of the respondents through away garbage to channel and river, however for feces disposal, 75% of the communities already had toilets. Based on community perceptions the current status of the Bedadung River is 58% polluted, 7% unknown, and 36% is good. This perception is based on Bedadung River water conditions such as the presence of garbage, water clarity and water odor. In order to maintain the environmental quality of the Bedadung River, the community and related stakeholders have carried out river cleaning activities on a sustainable basis. This preliminary study is expected to provide preliminary information on managing community-based river water quality in a sustainable manner.


2010 ◽  
Vol 7 (2) ◽  
pp. 955-962
Author(s):  
Baghdad Science Journal

The objective of the present work is to measuring the concentration of heavy elements (Pb, Cd, Zn, As) in Baghdad's soil city and indication to the probable sources of pollution as well as comparing the concentration of heavy elements with local and international ranges. The Sampling and analyzing conducted in the present work included ( 15 ) Samples from Baghdad city ( three samples for each location ).The rates of heavy elements in soil samples were as following:. Pb ( 67.5 ) ppm, Cd ( 4.11 ) ppm , Zn ( 77.9 ) ppm , As ( 4.64 ) ppm. According to the results, we find increasing in the concentrations of the heavy elements ( Pb, Cd, Zn ) in soils and decreasing in ( As ).We conclude that the main reason behind the increasing of the concentrations of heavy elements in Baghdad city's soils is due to the anthropogenic activities like the domestic wastes, the products released from the combustion of fuel containing ( tetraethyl lead ), and the industrial wastes (solid , liquid and gaseous) especially from oil industries. Other important factor that added to the pollution with these heavy elements is the three successive wars that Iraq had subjected. The explosion of rockets and bombs contributed mainly to the pollution of soil.


Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1394 ◽  
Author(s):  
Marsha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai’in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang

The application of multivariate statistical techniques including cluster analysis and principal component analysis-multiple linear regression (PCA-MLR) was successfully used to classify the river pollution level in Taiwan and identify possible pollution sources. Water quality and heavy metal monitoring data from the Taiwan Environmental Protection Administration (EPA) was evaluated for 14 major rivers in four regions of Taiwan with the Erren River classified as the most polluted river in the country. Biochemical oxygen demand (6.1 ± 2.38), ammonia (3.48 ± 3.23), and total phosphate (0.65 ± 0.38) mg/L concentration in this river was the highest of the 14 rivers evaluated. In addition, heavy metal levels in the following rivers exceeded the Taiwan EPA standard limit (lead: 0.01, copper: 0.03, and manganese: 0.03) mg/L concentration: lead-in the Dongshan (0.02 ± 0.09), Jhuoshuei (0.03 ± 0.03), and Xinhuwei Rivers (0.02 ± 0.02) mg/L; copper: in the Dahan (0.036 ± 0.097), Laojie (0.06 ± 1.77), and Erren Rivers are (0.05 ± 0.158) mg/L; manganese: in all rivers. A total 72% of the water pollution in the Erren River was estimated to originate from industrial sources, 16% from domestic black water, and 12% from natural sources and runoff from other tributaries. Our research demonstrated that applying PCA-MLR and cluster analysis on long-term monitoring water quality would provide integrated information for river water pollution management and future policy making.


2021 ◽  
Author(s):  
Sudip Bhattacharyya ◽  
Rajlakshmi Poi ◽  
Swagata Mandal ◽  
Moni Baskey(Sen) ◽  
Dipak Kumar Hazra ◽  
...  

Abstract A liquid-liquid extraction (LLE) method consisting gas chromatography-mass spectrometric (GC-MS) determination of thirty six pesticides in environmental waters was standardized. The method was validated as per SANTE/11813/2017 guidelines. Effect of three seasons namely summer, monsoon and winter on monitoring of pesticide residues in environmental waters (river, pond and tube well) of rural area was studied and subsequently risk assessment was evaluated. Within two districts (Nadia and North 24paraganas) of new alluvial zone in eastern India, six different places were chosen for sampling of river water. On the contrary, six different ponds and tubewells as well were considered for sampling. 144 samples of 2 liter each (48 each of river, pond and tubewell water) of each district irrespective of seasons were analyzed during the study period. Each water sample (750 ml) was extracted with ethylacetate:dichloromethane (8:2). The total residue was reconstituted in acetone (1 ml) and analysed in GC-MS after proper filtration with 0.22 μm nylon syringe filter. Average percent recovery ranged from 77.84 to 118.15. Irrespective of seasons, maximum total organochlorine (OC) and organophosphorous (OP) pesticide residues were dominated respectively in river and pond water. Irrespective of types of environmental waters, monsoon (July to October) showed presence of total maximum pesticide residues. Risk Quotient (RQ) [acute and chronic] was calculated respectively in pond and river water. Only Seven water samples of tubewell were contaminated with butachlor and chlorpyriphos, although in non-significant average amount (< 0.1ngml-1), irrespective of seasons and thus safe for consumption.


Author(s):  
N. S. Loboda ◽  
І. V. Katynska ◽  
О. V. Smalii

The paper topicality consists in the necessity for determination of the environmental status of the rivers in the Siverskyi Donets Basin and assessment of the possibilities for them to achieve ‘good environmental status’ under the modern climatic conditions and the anthropogenic load. Siverskyi Donets is the main river in the Eastern Ukraine. There are large industrial zones at the water catchment area. Among them, there are the Donetsk Coal Basin and the industrial complexes within the City of Kharkiv, which have exerted influence on surface water quality for decades. A method for assessment of the pollution level and the environmental status of waters by the hydrochemical index of BOD5 (biochemical oxygen demand for 5 days) is used in the paper. The paper is aimed at identification of the main trends in water quality changes by hydrochemical index of BOD5. The object of research is a pollution of the rivers at the Siverskyi Donets Basin by industrial, municipal and mine wastewaters. The subject of research is an assessment of water qualitative status by BOD5. The hydrochemical observation data for 7 gauges at the main river and 7 tributaries for the period of 1990-2015 were used in the paper. The major attention is focused on the most polluted rivers in the Eastern Ukraine: the Udy and the Kryvyi Torets. The quality of the Udy River water is largely determined by the municipal wastewater from Kharkiv. The Kryvyi Torets River belongs to the Donbas rivers, where pollution by mine water and wastewater from industrial enterprises is significant. Pollution levels, environmental status and saprobity were determined by the average annual indices of BOD5. Empirical probabilities for occurrence of a certain pollution parameter at various gauges were calculated for comparative analysis. It is found that a BOD5 downward trend has been prevalent on the rivers at the Siverskyi Donets catchment area in the early 21st century. The highest BOD5 values were observed on the Donbas tributaries and the Udy River (downstream from the City of Kharkiv), as well as upstream and downstream from Lysychansk, and the lowest ones were observed on the Oskil River. It is also revealed that in the early 21st century, the main river water has a ‘threshold’ environmental status (β-mesosaprobic zone), except for the Lysychansk gauge, where the status is ‘irreversibly altered’ owing to the inflow of polluted water from Donbas rivers into the Siverskyi Donets. Research into the Udy River water quality upstream and downstream from the industrial city of Kharkiv has shown that the water in the upper reaches of this river is classified as ‘clean’ and ‘moderately polluted’, and the environmental status may become ‘good’ in the future. Downstream from the city, the water is mostly ‘dirty’, and the environmental status is ‘irreversibly altered’, which corresponds to the α-mesosaprobic zone. For the Kryvyi Torets River (the Donbas Region), owing to the impact of organic pollution, the environmental status is defined as ‘threshold’, ‘irreversibly altered’ and it has begun to deteriorate in recent years. To improve the environmental status of the Donbas rivers, the reduction in discharges of untreated municipal and industrial wastewater into surface watercourses, as well as the construction of state-of-the-art sewage treatment plants are necessary.


Author(s):  
Petras Vaitiekūnas ◽  
Reda Banaitytė

Pollution is a major problem in all countries, even developed ones. It is the major environmental negative impact of anthropogenic activities affecting ecology. There are two major ways for assessment of negative impact of motor transport flow intensity and pollution level: monitoring the air or modeling pollutant dispersion. It is very important to estimate different unknown air modeling programs. In this work modeling is to be executed by the US EPA (United States Environmental Protection Agency) the so‐called “the best possible existing software for strategic environmental assessment”. That is also recommended by the Ministry of Environment of the Republic of Lithuania. In this work pollution modeling was executed for the northern part of Vilnius (the network of streets Geležinis Vilkas ‐ Ozas ‐ Kalvarijos). For motor vehicle pollution mathematical modeling, it is necessary to evaluate meteorological parameters like temperature, humidity, the wind direction and speed. Modeling software can also estimate relief conditions. Pollution emission measurements were used, and pollution dispersion modeling was performed. The main target was to evaluate pollutant dispersion from motor transport in the analysed area of Vilnius. During investigation maximum hourly, daily and annual concentrations of carbon monoxide, nitrogen oxide, sulphur dioxide, volatile organic compounds and particulate matter were observed.


2019 ◽  
Vol 20 (2) ◽  
pp. 538-549
Author(s):  
Maoqing Duan ◽  
Xia Du ◽  
Wenqi Peng ◽  
Cuiling Jiang ◽  
Shijie Zhang

Abstract In northern China, river water originating from or flowing through forests often contains large amounts of oxygen-consuming organic substances, mainly humic substances. These substances are stable and not easily biodegradable, resulting in very high detection values of chemical oxygen demand. However, under natural conditions, the dissolved oxygen demand is not as high. Using experimental values to evaluate river water quality and the impact of human activities on water quality is thus unscientific and does not meet national development goals. In this study, the potential sources of high-concentration chemical oxygen demand in river water in two areas exposed to virtually no anthropogenic activities and strongly affected by humic substances, were analysed. The chemical oxygen demand contributed by humic substances (COD-HSs) was quantified using three methods. The results of water quality monitoring in 2017 and 2018 revealed that the chemical oxygen demand concentrations (5–44 mg/L) predominantly exceeded the standard (15 mg/L). The study results suggest that COD-HSs should be considered separately for objective evaluation and management of water quality, particularly in areas that are seriously affected by COD-HSs, to provide a scientific basis for formulating sustainable water quality management policies.


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