scholarly journals Long-Term River Water Quality Trends and Pollution Source Apportionment in Taiwan

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1394 ◽  
Author(s):  
Marsha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai’in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Heavy Metal ◽  
Cluster Analysis ◽  
River Water ◽  
Principal Component ◽  
Pollution Level ◽  
Metal Levels ◽  
Metal Monitoring

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.

scholarly journals Long-term of River Water Quality and Pollution Source Apportionment in Taiwan

2018 ◽  
Author(s):  
Marsha Savira Agatha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai'in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Heavy Metal ◽  
Cluster Analysis ◽  
Anthropogenic Activities ◽  
Pollution Source ◽  
Pollution Level ◽  
Analysis Model ◽  
Metal Levels ◽  
Metal Monitoring

This study reports multivariate statistical techniques applied including cluster analysis to evaluate and classify the river pollution level in Taiwan, and principal component analysis-multiple linear regression (PCA-MLR) to identify the possible pollution source. Water quality and heavy metal monitoring data from Taiwan Environmental Protection Administration (EPA) was evaluated for 14 rivers in the four regions of Taiwan. The Erren River was classified as the most polluted River in Taiwan. Biochemical oxygen demand, ammonia, and total phosphate concentration in this river were the highest of the 14 rivers evaluated. In addition, heavy metal levels of the following rivers exceeded the Taiwan EPA standard limit: lead - in the Dongshan, Jhuoshuei, and Xinhuwei Rivers; copper - in the Dahan, Laojie, and Erren Rivers; and manganese - in all rivers. Water pollution in the Erren River was estimated to originate 72% from industrial sources, 16% from domestic black water, and 12% from natural sources and runoff from other tributaries. Our research showed that PCA-MLR and the cluster analysis model accomplished our study objectives and will be helpful tools to evaluate water quality in rivers and we suggest that the continuous monitoring should be conducted to monitor water pollution from anthropogenic activities.

scholarly journals TRENDS IN THE VARIABILITY OF THE CHEMICAL COMPOSITION AND WATER POLLUTION LEVEL IN THE KUBAN RIVER

2021 ◽  
Vol 26 (1) ◽  
pp. 30-40
Author(s):  
O. S. Reshetnyak ◽  
◽  
R. S. Komarov ◽  
◽  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Chemical Composition ◽  
River Water ◽  
Petroleum Products ◽  
Pollution Level ◽  
Organic Substances ◽  
Quality Class ◽  
Number Of Components ◽  
Kuban River

Introduction. The paper explores the long-term spatial and temporal variability of the chemical composition and water quality in the Kuban River. Methods. To study the variability of the chemical composition of river water, we analyzed data from systematic observations over the concentrations of major ions, biogenic and organic substances, petroleum products and heavy metals from 2010 to 2017. To describe the variability of water quality, we used such indicators as water quality class, water pollution level, and characteristic pollutants. Results. It is shown that the spatial change in the chemical composition is uneven — a number of components in the water have low concentrations in the upper reaches, increasing in the lower part of the river. Others are characterized by high concentrations in the middle reaches, followed by a decrease towards the mouth. Over time, the change in the concentrations of chlorides, sulfates, organic substances and petroleum products increases. As for the content of nitrates, a slight decrease was detected in its variability. For the remaining chemicals, there were no clear trends. We established that in most cases the water in the Kuban River can be classified as polluted and very polluted (water quality class 3). We also found that the nature of river water pollution regarding a number of components is stable. Conclusion. In modern conditions of sharp climate changes and anthropogenic impact, the identified features of the chemical composition and trends in water quality variability of the Kuban River are of great practical importance and can be used in the development of environmentally sound recommendations for improving water quality and the state of water ecosystems in the river basin.

scholarly journals ANALISIS KUALITAS DAN STRATEGI PENGENDALIAN PENCEMARAN AIR KALI SURABAYA

2014 ◽  
Vol 14 (2) ◽  
pp. 90-98 ◽  
Author(s):  
Ali Masduqi ◽  
Adi Trisnawati
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
River Water ◽  
Pollution Control ◽  
Water Quality Parameter ◽  
Pollution Level ◽  
Social Aspect ◽  
Index Method ◽  
Water Pollution Control ◽  
Quality Status

Sebagian besar limbah cair hasil dari kegiatan manusia dibuang ke saluran. Sekitar 60% pencemaran KaliSurabaya berasal dari limbah domestik (Fatnasari dan Hermana, 2010). Padahal air Kali Surabaya memasoksekitar 96% kebutuhan air baku Perusahaan Daerah Air Minum (PDAM) Kota Surabaya (Herera dkk, 2013).Penelitian ini bertujuan untuk mengidentifikasi tingkat pencemaran dan menentukan prioritas strategipengendalian pencemaran air Kali Surabaya menggunakan AHP (Analitycal Hierarchy Processes).Pengumpulan data sekunder berupa data kualitas air Kali Surabaya yang terdiri dari temperatur, TSS, pH,BOD, COD, DO, nitrat, amonia, kromium, tembaga, nitrit, minyak, deterjen, fenol, total coli, dan faecal coliyang dibandingkan dengan baku mutu air kelas 2 berdasarkan Peraturan Pemerintah nomor 82 tahun 2001.Kemudian dilakukan penentuan status mutu air Kali Surabaya menggunakan metode indeks pencemaranberdasarkan Keputusan Menteri Lingkungan Hidup Nomor 115 tahun 2003. Analisis Strategi pengendalianpencemaran air Kali Surabaya didapat setelah dilakukan pembagian kuesioner kepada Badan LingkunganHidup Provinsi Jawa Timur, Dinas Pekerjaan Umum Pengairan, Perum Jasa Tirta, Dinas Perindustrian danPerdagangan, PDAM dan Tokoh Masyarakat. Hasil penelitian menunjukkan bahwa parameter pencemar airKali Surabaya adalah TSS, BOD, DO, nitrit, minyak, dan fenol. Selain itu, status mutu air Kali Surabayatermasuk tercemar ringan. Hasil running prgram AHP diketahui bahwa strategi pengendalian pencemaran airKali Surabaya lebih menitik beratkan pada ketegasan dalam menaati peraturan perundangan yang berlaku. The Surabaya River’s main problem currently was the wastewater resulted from human activities mostly being discharged into the river. About 60% of Surabaya River pollution originated from domestic wastewater (Fatnasari dan Hermana, 2010). Infact, about 96% of water Perusahaan Daerah Air Minum (PDAM) Surabaya take from this river (Herera dkk, 2013). This study aims for identification of pollution level and determination of strategy priority of water pollution control in Surabaya River using Analytical Hierarchy Processes (AHP). The study was begun from secondary data collection of water quality parameter of: temperature, TSS, pH, BOD, COD, DO, nitrate, nitrite, ammonia, chromium, copper, oil, detergent, phenol, total coli and faecal coli. The data would be compared with stream standard. Then quality status of Surabaya River water was determined by using pollution index method according to Ministry of Environment Decree N0. 115/2003. The analysis of strategy to control Surabaya River water was done by questionnaire and direct interview methods to Badan Lingkungan Hidup (BLH) of East Java Province, Dinas Pekerjaan Umum Pengairan, Perum Jasa Tirta I, Dinas Perindustrian dan Perdagangan, PDAM and several affectional peoples in society. The result of study shows that the polluting parameters of water in Surabaya River were TSS, BOD, DO, nitrite, oil and phenol. The water quality status of Surabaya River is categorized as low polluted. From the result of AHP the strategy of water pollution control in Surabaya River should be focused on social aspect which more focused firmness in keeping the existing regulations

Analysis of long-term water quality changes in the Kis-Balaton Water Protection System with time series-, cluster analysis and Wilks’ lambda distribution

2011 ◽  
Vol 37 (4) ◽  
pp. 629-635 ◽  
Author(s):  
István Gábor Hatvani ◽  
József Kovács ◽  
Ilona Székely Kovács ◽  
Pál Jakusch ◽  
János Korponai
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Cluster Analysis ◽  
Protection System ◽  
Water Protection ◽  
Quality Changes ◽  
Wilks Lambda

scholarly journals Assessment of Water Quality of Major Tributaries in Seoul using Water Quality Index and Cluster Analysis

2020 ◽  
Vol 42 (10) ◽  
pp. 452-462
Author(s):  
Jinhyo Lee ◽  
Hyunju Ha ◽  
Manho Lee ◽  
Mokyoung Lee ◽  
Taeho Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
River Water ◽  
Quality Index ◽  
Water Quality Management ◽  
River Water Quality ◽  
Quality Information ◽  
Linkage Method ◽  
And Cluster Analysis

Objectives : 17 water quality measurement networks (WQMNs, tributaries) in Seoul were analyzed by using NSFWQI and cluster analysis to provide basic data for future river water quality management so that citizens could easily and comprehensively understand the water quality information on the rivers in Seoul.Methods : For the past 3 years (2015~2017), in order to estimate WQI, 9 items, DO (% sat), Fecal coliform, pH, BOD, Temperature change (TC), TP, NO3-, Turbidity and Total solids, were selected from among the 19 water quality data measurement items produced monthly from 17 WQMNs in Seoul. WQI was derived and graded using NSFWQI and cluster analysis was performed using Ward Linkage Method, SOM (Self Organizing Map).Results and Discussion : Water quality of most water quality monitoring networks was BOD Ⅱ grade (slightly good) or higher and TP Ⅲ grade (normal) or higher according to the standard of water quality and water ecosystem river living environment, and NSFWQI was also 64 (Medium)~89 (Good). All showed good water quality. NSFWQI does not show a significant difference by season, so it is believed that it is affected by anthropogenic sources rather than seasonal effects. As a result of examining the correlation between NSFWQI and water quality level according to environmental standards, it was confirmed that R2 has a relatively good correlation with 0.78, and there is no clear difference between the two groups, and through this, it was found that the currently implemented water quality rating system and NSFWQI are well matched. As a result of cluster analysis using ward linkage method and SOM for 17 WQMNs, it was largely divided into 6 groups according to water quality characteristics.Conclusions : It is important to manage pollution sources to systematically manage river water quality as a water resource. It is therefore expected that by converting from the complicated and various water quality information such as is found in this study into a simple water quality index and grouping, the river water quality can be easily understood and can be utilized in the future as basic data for water quality management in Seoul.

scholarly journals Assessment of the water pollution level and the environmental status of rivers in the Siverskyi Donets basin by BOD5

2020 ◽  
pp. 91-101
Author(s):  
N. S. Loboda ◽  
І. V. Katynska ◽  
О. V. Smalii
Keyword(s):  
Water Quality ◽  
River Water ◽  
Catchment Area ◽  
Donets Basin ◽  
Pollution Level ◽  
Early 21St Century ◽  
Main River ◽  
Environmental Status ◽  
The City ◽  
Hydrochemical Index

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.

scholarly journals Physicochemical Parameters of Gomati River at Lucknow in Uttar Pradesh (India)

2021 ◽  
Vol 9 (VII) ◽  
pp. 875-886
Author(s):  
Azad Kannaujiya
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
River Water ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
Total Hardness ◽  
Domestic Waste ◽  
Aquatic Life ◽  
Gomati River ◽  
The Impact

Gomati River originate from Madhoganj Tanda village in Pilibhit district, U.P. it passes through the district of Shahjahanpur, kheri, Hardoi, Sitapur, Janpur and ultimately merge in Ganga. River water is significant for every living organism as well as aquatic life. Water pollution is a major global problem. Modernization and urbanization have polluted the river water and degraded the status. All over the world we are seeing that drain is the main source of water pollution especially for rivers flowing within the city. This drain generally carries industrial effluent, domestic waste, sewage and medicinal waste resulting in poor water quality. Gomati River receives industrial as well as domestic waste from various drains of Lucknow city. As Gomati river is the only source of surface water near the communities. A total 20 parameters namely Temperature, pH, Turbidity, Conductivity, Total dissolved solids (TDS), Total suspended solids (TSS), Total solids (TS), Dissolved oxygen (DO), Biological oxygen demand (BOD) Chemical oxygen demand (COD), Alkalinity, Total hardness, Calcium as ca, Magnesium as Mg, Chloride, Fluoride, Sulphate as So4, Nickel as Ni, Lead as Pb, and Zinc as Zn where analysed and their variation is discussed to obtain the impact of effluents on water quality. From the result it was found higher than the permissible limit of WHO and BIS.

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