Assessment of Water Quality of River Mutha for Onsite Treatment of Polluted River Water

2021 ◽  
pp. 621-633
Author(s):  
Rohini More ◽  
Sameer Shastri
2020 ◽  
Vol 26 (1) ◽  
pp. 36
Author(s):  
Sepridawati Siregar ◽  
Desi Kiswiranti

AbstrakSungai Klampok mengalir melalui Kecamatan Bergas dan sekelilingnya terdapat beberapa industri sehingga mengakibatkan sungai tersebut tercemar karena menjadi badan penerima air limbah. Akibat penurunan kualitas air Sungai Klampok akan berimbas pada penurunan kualitas air tanah yang digunakan oleh penduduk sekitar sungai tersebut. Penelitian ini bertujuan untuk mengetahui kualitas air tanah yang berada di sekitar Sungai Klampok sebagai akibat adanya pengaruh beban pencemaran oleh air limbah industri berdasarkan Permenkes No. 416/MENKES/PER/IX/1990 tentang persyaratan kualitas air bersih. Lokasi pengambilan sampel air sungai dibagi menjadi 3 stasiun (LK1, LK2 dan LK3) sedangkan untuk sampel airtanah dari rumah-rumah penduduk dilakukan pada 6 titik yaitu 3 titik di daerah utara dari Sungai Klampok (U1,U2, U3) dan 3 titik di daerah selatan dari Sungai Klampok (S1,S2, S3). Pengambilan sampel dilakukan pada musim kemarau. Dari hasil uji kualitas air sungai, pencemaran yang terjadi pada air sungai Klampok masuk dalam kategori tercemar ringan-sedang. Sedangkan hasil uji kualitas air tanah masih berada di bawah baku mutu yang disyaratkan oleh Permenkes No. 416/MENKES/PER/IX/1990, sehingga penurunan kualitas air sungai Klampok tidak mempengaruhi kualitas air tanah di sekitar sungai tersebut. AbstractThe Klampok River flows through the Bergas Subdistrict and there are a number of industries around it, causing the river to become polluted because it becomes the body of the recipient of wastewater. As a result of the decline in the quality of the water in the Klampok River, it will impact on the quality of groundwater used by residents around the river. This study aims to determine the quality of groundwater around the Klampok River as a result of the influence of pollution load by industrial wastewater based on Permenkes No. 416 / MENKES / PER / IX / 1990 concerning requirements for clean water quality. The location of river water sampling is divided into 3 stations (LK1, LK2, and LK3) while for groundwater samples from residential houses is carried out at 6 points, namely 3 points in the northern area of Klampok River (U1, U2, U3) and 3 points in the area south of the Klampok River (S1, S2, S3). Sampling is done in the dry season. From the results of the test of river water quality, pollution that occurs in Klampok river water is categorized as mild-moderate polluted. While the results of groundwater quality testing are still below the quality standards required by Permenkes No. 416 / MENKES / PER / IX / 1990 so that the decline in the water quality of the Klampok river does not affect the quality of groundwater around the river.


2020 ◽  
Vol 42 (10) ◽  
pp. 452-462
Author(s):  
Jinhyo Lee ◽  
Hyunju Ha ◽  
Manho Lee ◽  
Mokyoung Lee ◽  
Taeho Kim ◽  
...  

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.


Author(s):  
Akhand Archna ◽  
Shrivastava Sharad ◽  
Akhand Pratibha

The water quality of River Kshipra in stretch of 195 km was studied for water quality status using benthic macro invertebrates for all three seasons’ monsoon, winter and summer. The River water quality is subject to severe domestic and industrial pollution at compete stretch of River. In the present investigation a total of 13 Orders of macrobenthic fauna i.e. Ephemeroptera, Trichoptera, Placoptera, Coleoptera, Hemiptera, Odonata, Crustacea, Diptera, Pulmonata, Operculata, Pulmonata, Oligochaeta and Hirudinea belong to 3 Phylum’s Arthropoda, Mollusca and Annelida were reported. Arthropoda was the most dominant group in all seasons. On seasonal comparison of benthic fauna is observe that abundance were decreasing order were, Winter > Monsoon > summer. To monitor the water quality samples from two years (2010-12) from different stations were collected monthly. The works highlighted the condition of the River water in various seasons with respect of the seasonal abundance of the benthic macro-invertebrates organisms mentioned above.


2021 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Ignacio Elizalde Martinez ◽  
Shruti Venkata Chari

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.


2020 ◽  
Vol 202 ◽  
pp. 04008
Author(s):  
Nurandani Hardyanti ◽  
Winardi D Nugraha ◽  
Vito Edgar S B

The industrial sector is one of the important sector in supporting the development of a region. Utilization of land around the river that is used for industrial activities will affect the quality of river water. The river can be polluted by waste personinating from industries that operating around the river. The catchment area that used for industry, agriculture, urban development, and the use of land for making roads (gravel or footpaths) can affect the flow of surface water and sediments that it brings to the river. Waste generated from industrial activities can pollute rivers which are a source of water for daily needs and affect the development of biota in them. This can affect river water quality


2021 ◽  
pp. 1117-1129
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar

2021 ◽  
pp. 947-961
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar

2013 ◽  
Vol 13 (2) ◽  
pp. 141-146 ◽  
Author(s):  
Binod Prasad Shah ◽  
Bhoj R Pant

The parameters such as temperature, PH, TSS, TDS, ammonia, phenol, cyanide, sulfide, oil and grease, chloride, DO, COD and BOD were taken to assess the water quality of Sirsiya river, central southern Nepal. Water samples were collected from upstream to downstream from the point receiving industrial effluent to Sirsiya river. It receives wastewater burden of more than 250 industries along Bara/Parsa industrial corridor. All the parameters except oil and grease were found within the generic standard. The study revealed that the physic-chemical characteristic of the river water was changing as a result of the discharge of untreated effluents from different industries. This may impact on water quality of Sirsiya river and also pose human health problems. Nepal Journal of Science and Technology Vol. 13, No. 2 (2012) 141-146 DOI: http://dx.doi.org/10.3126/njst.v13i2.7727


2018 ◽  
Vol 162 ◽  
pp. 05001
Author(s):  
Nawar Al-Musawi

Diyala River is a tributary of Tigris River, it is one of the important rivers in Iraq. It covers a total distance of 445 km (275 miles). 32600 km2 is the area that drains by Diyala River between Iraqi-Iranian borders. This research aims to evaluate the water quality index WQI of Diyala River, where three stations were chosen along the river. These stations are D12 at Jalawlaa City at the beginning of Diyala River, the second station is D15 at Baaquba City at the mid distance of the river, and the third station is D17 which is the last station before the confluence of Diyala River with Tigris River at Baghdad city. Bhargava method was used in order to evaluate the water quality index for both irrigation and drinking uses. The results indicated that Diyala river water quality at its beginning was excellent for irrigation and good for drinking, while at the mid distance of the river, it was good for irrigation but heavily polluted and unsafe for drinking. Water quality of the river at the third site was acceptable for irrigation but again severely polluted and unsafe for drinking.


2019 ◽  
Vol 19 (5) ◽  
pp. 1381-1387 ◽  
Author(s):  
Mohamed N. F. Shaheen ◽  
Elmahdy M. Elmahdy

Abstract Sewage discharge is considered to be the primary source of viral contamination in aquatic environments. This study was conducted to evaluate the impact of El-Rahawy wastewater on the water quality of the Rosetta branch of the River Nile (Rosetta River Nile) through detection of astrovirus (AstV) and norovirus (NoV) in the water and sediments of both sites. For this purpose, we collected 72 wastewater and 12 sediment samples from El-Rahawy drain, and 12 river water and 12 sediment samples from Rosetta River Nile before and after mixing with El-Rahawy wastewater between April 2017 and March 2018. AstVs and NoVs were identified in wastewater (40.2% versus 25%), El-Rahawy sediment (41.6% versus 20.8%), river water after mixing with wastewater (25% versus 16.6%), river water before mixing with wastewater (8.3% versus 0%), river sediment after mixing with wastewater (16.6% versus 8.3%), and no viruses were found in river sediments before mixing with wastewater. AstV genogroup B and NoV genogroup GI were the most frequently detected genotypes in the analyzed samples, with a peak incidence in the winter months. Increasing detection rates of both viruses in El-Rahawy drain samples and river water taken from the Rosetta branch after receiving El-Rahawy wastewater reflect the impact of this drain on the water quality of this stretch of the River Nile.


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