scholarly journals Improvement of Dissolved Oxygen in Perlis River based on Various Aeration Systems

2021 ◽  
Vol 2129 (1) ◽  
pp. 012103
Author(s):  
M F H Rani ◽  
N S Kamarrudin ◽  
A B Shahriman ◽  
Z M Razlan ◽  
K Wan ◽  
...  

Abstract Water pollution is closely related to the Water Quality Index (WQI). One of the parameters in classifying WQI is dissolved oxygen (DO) that can be improved by introducing the surface and subsurface aerations. Herein, the Perlis River’s water quality was investigated by evaluating the DO’s improvement based on various aeration systems. The changes of DO (mg/L) and DO improvement (%) were evaluated during both low and high tide conditions. A total of 9 sets of data collection had been studied by comparing base DO (without running of aeration) and measured DO (with running of aeration) of river. The DO sensor was used to measure the changes of DO in the aeration measurement system. Results found that the DO improvement managed to achieve 74.89%, 10.18%, 35.58%, and 52.45% for water jet, air compressor, commercial venturi, and DIY venturi, respectively. Besides, different behaviour of DO’s improvement was observed during low and high tide conditions.

2020 ◽  
Vol 69 (2) ◽  
pp. 160-172 ◽  
Author(s):  
Cao Truong Son ◽  
Nguyen Thị Huong Giang ◽  
Trieu Phuong Thao ◽  
Nguyen Hai Nui ◽  
Nguyen Thanh Lam ◽  
...  

Abstract This research aims at using a combined water quality index (WQI) and pollution index (PI) to assess and characterize river water quality of Cau River which is one of the longest rivers in the north of Vietnam. Five different water quality and water pollution indices were used including the Water Quality Index (WQI), Comprehensive Pollution Index (CPI), Organic Pollution Index (OPI), Eutrophication Index (EI), and Trace Metal Pollution Index (TPI). The combined water pollution indices show more serious pollution towards the river downstream. In particular, CPI and OPI reveal a high risk of eutrophication. Cluster analysis was applied to classify water monitoring points into different quality groups in order to provide a better understanding of the water status in the river. This study indicates that a combined water quality analysis could be an option for decision making water use purposes while its single index shows the current situation of water quality.


2007 ◽  
Vol 7 (2) ◽  
pp. 315-328 ◽  
Author(s):  
Enrique Sánchez ◽  
Manuel F. Colmenarejo ◽  
Juan Vicente ◽  
Angel Rubio ◽  
María G. García ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 336
Author(s):  
Nguyen Thanh Giao ◽  
Phan Kim Anh ◽  
Huynh Thi Hong Nhien

The study was conducted to spatiotemporally analyze the quality, location and critical water variables influencing water quality using water monitoring data from the Department of Environment and Natural Resources, Dong Thap province in 2019. The water quality parameters including turbidity, pH, temperature, dissolved oxygen (DO), total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), nitrite (N-NO2−), nitrate (N-NO3−), ammonium (N-NH4+), total nitrogen (TN), orthophosphate (P-PO43−), chloride (Cl−), oil and grease, sulfate (SO42−), coliforms, and Escherichia coli (E. coli) were collected at 58 locations with the frequency of four times per year (February, May, August, and November). These parameters were compared with national technical regulation on surface water quality—QCVN 08-MT: 2015/BTNMT. Water quality index (WQI) was calculated and spatially presented by geographical information system (GIS) tool. Pearson correlation analysis, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the correlation among water quality parameters, group and reduce the sampling sites, and identify key parameters and potential water pollution sources. The results showed that TSS, BOD, COD, N-NH4+, P-PO43−, coliforms, and E. coli were the significant concerns impairing the water quality. Water quality was assessed from poor to medium levels by WQI analysis. CA suggested that the current monitoring locations could be reduced from 58 sites to 43 sites which can be saved the total monitoring budget up to 25.85%. PCA showed that temperature, pH, TSS, DO, BOD, COD, N-NH4+, N-NO2−, TN, P-PO43−, coliforms, and E. coli were the key water parameters influencing water quality in Dong Thap province’s canals and rivers; thus, these parameters should be monitored annually. The water pollution sources were possibly hydrological conditions, water runoff, riverbank erosion, domestic and urban activities, and industrial and agricultural discharges. Significantly, the municipal and agricultural wastes could be decisive factors to the change of surface water quality in the study area. Further studies need to focus on identifying sources of water pollution for implementing appropriate water management strategies.


2016 ◽  
Vol 19 (2) ◽  
pp. 55-66
Author(s):  
Thang Viet Le

Gieng river and Dinh river have a particularly important meaning during the socioeconomic construction and development of Ham Tan district, Lagi town in particular and Binh Thuan province in general. Because these rivers are the main water supply for people and agricultural activities in the region. Results of analysis, water quality index, survey data on the discharge sources of domestic sewage, livestock and seafood processing wastewaters, etc.Show that water of the Gieng – Dinh river basin has signs of pollution, especially through high contents of TSS, COD, BOD5, P-PO43-and Coliforms. Results of this study provides the local environmental management authorities with an overview of water pollution in the Gieng – Dinh river basin but also proposed solutions for better protection and management of the water resources.


2020 ◽  
Vol 9 (1) ◽  
pp. 67-71
Author(s):  
Raymond Doresmas Purba ◽  
Haeruddin Haeruddin ◽  
Siti Rudiyanti

ABSTRAKSungai Banjir Kanal Barat dan Silandak merupakan sungai besar yang berada di Kota Semarang yang padat penduduk. Berbagai aktivitas terdapat di sepanjang aliran sungai tersebut, diantaranya aktivitas domestik dan industri yang membuang limbah ke dalam badan sungai sehingga menyebabkan penurunan kualitas perairan. Tujuan penelitian ini adalah untuk mengetahui beban pencemaran Sungai Banjir Kanal Barat dan Silandak berdasarkan baku mutu PP Nomor 82 Tahun 2001 kelas II, serta mengetahui status pencemaran air Sungai Banjir Kanal Barat dan Silandak berdasarkan Indeks Kualitas Air (IKA). Penelitian dilaksanakan pada bulan Oktober-November 2018. Pengambilan sampel dilakukan 5 stasiun sampling 2 kali ulangan. Variabel kualitas air yang dianalisis yaitu TSS, nitrat, fosfat, Pb dan Cd, DO. Berdasarkan hasil penelitian 6 variabel tersebut rata-rata sudah melampaui baku mutu. Hasil perhitungan beban pencemaran ditinjau dari satu variabel yang memiliki sumber pencemar tertinggi yaitu TSS Sungai Banjir Kanal Barat yaitu 11425,540 kg/hari dan Sungai Silandak yaitu 8104,32 kg/hari. Hasil perhitungan (IKA) menunjukkan Sungai Banjir Kanal Barat termasuk tercemar ringan dan sedang, Sungai Silandak termasuk tercemar ringan. ABSTRACT Banjir Kanal Barat and Silandak are two large rivers wich located in Semarang with a dense population. There are several activities along the riverside, such as domestic and industrial activities that that the wastes were thrown to the stream and caused water quality decreased. Aims of this research are to know the population load in Banjir Kanal Barat and Silandak river based on the quality standard of PP No. 82/2001 Class II and to determine water pollution status of Banjir Kanal Barat and Silandak river using Water Quality Index (WQI). This research conducted in October to November 2018. Sampels are taken from five stations with twice repetition. Variabels taken for this research are TSS, nitrate, phosphate, Pb, Cd and DO. The averagere result of six variabels show that all variabels are Pollution load calculated based on TSS. In Banjir Kanal Barat it’s 11425.540 kg/day while in Silandak it’s 8104.32 kg/day. The result of that Banjir Kanal Barat river classified as low to medium polluted and Silandak river classified as low polluted


Water Policy ◽  
2014 ◽  
Vol 17 (3) ◽  
pp. 454-471 ◽  
Author(s):  
Mohd Istajib Mokhtar ◽  
Raihanah Abdullah ◽  
Azizan Baharuddin

Water pollution has long been a crisis of life-threatening proportion in many Muslim countries. It is therefore timely to determine the role of traditional Islamic jurisprudence in outlining the water quality standards. This study examines the Islamic and scientific approaches in appraising water quality. More specifically, this study used the Taharah–Najasah (T–N) standards (pertaining to purification and degree of pollution) as stated in Islamic jurisprudence of purification to analyse the water classes, index ranges and parameters of the water quality index stipulated by the Malaysian Department of Environment. It is important that the T–N standards are taken into consideration in determining the water quality so that Muslim communities are assured of the purity of the water used in performing worship and instilling healthier water habits among Muslims. At the same time, the application of T–N standards in gauging water quality will also benefit the whole nation as the unique characteristic of mutlaq water (purest and purifiable water) can help significantly in formulating an innovative and advanced water quality index and hence in alleviating the water pollution issue The resemblances can be found in the aspects of acceptability (taste, odour and appearance).


Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1232
Author(s):  
Sheng-Rui Zou ◽  
Si-Xuan Du ◽  
Min Song ◽  
Ming-Xian Li

Water pollution in China has expanded from regions to river basins. It is of great significance to study the behaviors of regulated subjects from the perspective of river basins for protecting the water environment and improving the effectiveness of environmental regulations. This paper constructed a basin spatial regression design to discuss the governance effect and economic effect of water pollution from industry in relation to the central environmental protection goal of China, as well as the response and strategy of local government. Considering the validity of the data, the annual average chemical oxygen demand (COD) concentration of each monitoring station was adopted as the ambient water quality index, and there was direct evidence that the ambient water quality index influenced water-polluting industries. We found that, if the downstream COD concentration in the last year rose by 1 mg/L, the water-polluting industries reduced their pollution and output value by 1.9% and 0.2%, respectively. After using the upstream COD concentration as the tool variable, the result was still robust. However, the results of local government’s two strategies, which we can call regulatory constraint force and fiscal incentive force, were opposites. Specifically, the governance effect of polluting industries under regulatory constraints was more significant, while fiscal incentives encourage water-polluting industries to create more value. In addition, we estimated the impact of ambient water quality on water-polluting industries in the Yangtze River Basin and the Yellow River Basin, and revealed that the governance effect exceeded the average value of seven river basins. After further distinguishing the relative upstream cities and relative downstream cities, the results show that the response of relative upstream cities to water quality was significantly higher, and the gap between regions expanded further after 2013.


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