scholarly journals Assessing changes in surface water quality and pollutant load in Dong Nai province

2016 ◽  
Vol 19 (4) ◽  
pp. 249-258
Author(s):  
Huong Thi Diem Bui ◽  
Tuan Ngoc Le

This study aims at assessing changes in the surface water quality in Dong Nai province (2010- 2014). In addtion, the pollutant loads of wastewater sources were calculated till 2020–2030 with 03 wastewater treatment scenarios serving for the local environmental management. The water quality index (WQI) showed the surface water quality of Dong Nai Province to be gradually improved during the dry season but significantly declined in the rainy season in the last 5 years due to high concentrations of suspended solids (SS), Fe and microorganism - especially in the 3rd segment of Dong Nai river through Bien Hoa City. This current status certainly relates to pollutant loads from waste water sources in the province. Pollutant loads of domestic and industrial wastewater in Bien Hoa city are the highest (40 % per source), livestock activities in Xuan Loc district account for 20 %; aquaculture activities in Nhon Trach district contribute more than 75 % of the corresponding total loads, etc. in which loads of BOD5, COD and SS are significant, about 581,570 tons, 1,035,403 tons and 639,153 tons per year, respectively, and tend to increase in the future, requiring appropriate solutions.

2021 ◽  
Author(s):  
Maoqing Duan ◽  
Shilu Zhang ◽  
Junyu He ◽  
MIngxia Xu ◽  
Yuanyuan Gao ◽  
...  

Following the implementation of the strictest water resource management system in China, it has become increasingly important to understand and improve the surface water quality and the rate at which water function zones reach the water quality standard. Based on the monthly monitoring data from 450 monitoring sites at the provincial borders of 27 provinces in China in 2019, the overall surface water quality at provincial boundaries in China was as follows: 61.7% of the water was classified under Class I–III; and 5%, 8.6%, and 12.2% of the water was classified under Class IV, V, and inferior V, respectively. The main standard items are DO, CODMn, COD, BOD5, NH3-N, and TP. The Canadian Council of Ministers of the Environment-water quality index (CCME-WQI) showed that the provincial boundary water quality exceeded the fair level, and F1 was the most influential factor. Then, 27 factors that directly or indirectly affect the water quality of surface water at the provincial boundaries of 27 provinces were identified, and the indirect influencing factors were integrated into the ecological environmental quality index and human activities quantitative index. Finally, the 27 factors were integrated into six factors, and the relationship between these indicators and CCME-WQI as well as the concentration of influencing elements with respect to regulatory standard limits were analyzed. The proportion of building land was the most significant factor affecting the quality of the aquatic environment in provincial boundaries. In addition, the economic development level, proportion of farmland, and degree of social development were identified as significant influencing factors. The six factors have different degrees of impact on the concentrations of major elements with respect to standard limits. This study basically explores water resource management and offers significant reference and guidelines for the improvement of the quality of surface water at provincial boundaries in China


Author(s):  
Nguyen Ngan Ha ◽  
Tran Thi Thu Huong ◽  
Pham The Vinh ◽  
Tran Thi Van

This paper presents the study of integrating the remote sensing technology with in-situ ground observation for assessing the status of water quality in Ca Mau city through the Vietnam Water Quality Index (VN-WQI). The Sentinel-2 image and in-situ surface water samples were collected on 20 February 2020 for this study. The sample results were then specified by samples’ coordination. Besides, Sentinel-2 imaging was processed by radiometric and atmospheric correction, geometric registration, and extracted pixel spectral values from the sample locations. The multiple linear regressions of seven water quality parameters including BOD5, COD, NH4, PO4, TSS, pH, Coliform with surface water’s pixel spectral values from the satellite images were calculated and used to simulate water quality parameters on the satellite image. They were integrated into the VN-WQI to estimate, classify, and evaluate the general surface water quality of the Ca Mau city. The results show that there is a regressive correlation between measured data and image spectral values, and the simulation also well fits with the data with an acceptable error. The surface water quality of Ca Mau city is heavily polluted with almost all water quality parameters recognized at B1 to above B2 level according to the QCVN08-MT:2015/BTNMT. In terms of VN-WQI, the results also illustrate the low quality of surface water and heavy pollution only used for water transportation, not for domestic use. This approach can be a powerful method in spatially monitoring water quality and supporting environment management.


2019 ◽  
Vol 70 (2) ◽  
pp. 398-406
Author(s):  
Romana Drasovean ◽  
Gabriel Murariu ◽  
Gigi Constantinescu ◽  
Adrian Circiumaru

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.


2009 ◽  
Vol 12 (2) ◽  
pp. 97-110
Author(s):  
Hanh Thi Hong Tran ◽  
Tran Thi Hong Le ◽  
Hanh Vu Bich Dang ◽  
Thanh Thi Duong

Nowadays, with developing all over country of aquaculture, basa catfish in the Mekong River delta, included An Giang province, has kept important position and contributed to economic development in the area. However, aquaculture activities has faced with environmental risk and aquacultures diseases that cause quality of fish pond water has usually pollution and reducing total of basa fish yeild. The water and sludge samples were conducted for six months in order to carry out the current status of water quality of fish ponds at My Hoa Hung commune at Long Xuyen city. Based on analysis results, proposing establishment dada base and monitoring network of surface water by using GIS that were conducted to improve surface water quality and identify the risks that may cause damage the environmental of basa fish ponds in this reserach.


Author(s):  
Jyotsana Pandit ◽  
S. K. Bhardwaj

The studies of surface water quality of urban areas has become a major environmental challenge. In effect these aquatic ecosystems are increasingly under strong anthropogenic pressure. This fact causes the deteriorations of their quality and biodiversity. That seems the cases of the surface water of Solan District. Known the importance of these ecosystems in socio-economic activities of this district, it is important to lead studies for water qualities assessment. So, the surface water quality of urban areas of Solan District was assessed using the water quality index (WQI).To realize this objective, water samples were collected from five urban areas (Arki, Baddi, Nalagarh, Parwanoo, Solan) during the summer and winter seasons and were analyzed for major physicochemical parameters, viz. pH, EC, turbidity, TDS, BOD, COD, DO,As, Cr, Zn, Pb, Cd, to determine its suitability for drinking and domestic purposes. In surface water pH, EC, turbidity, TDS, BOD, COD, DO were found in the range of 6.74-7.55, 0.294-0.506 dS m-1,3.71-7.79 NTU, 105.51-253.26 mg l-1, 1.51-3.14 mg l-1,101.79-166.88 mg l-1, 4.16-6.58 mg l-1 consequently. Trace elements Pb, Cr, Zn, As, Cd, were found in the range of 0.04-0.28 mg l-1, 0.034-0.063 mg l-1, 0.22-0.46 mg l-1, 0.004-0.020 mg l-1 and 0.002-0.008 mg l-1 respectively. All water quality parameters except Pb, Cr, Cd were within the permissible limits. Out of all urban areas WQI of Arki (33) and Solan (46) was categorized as good. Whereas WQI of Parwanoo, Baddi and Nalagarh was 69, 62, 57 respectively and was categorized as poor, indicating negative impacts o urbanization and industrialization. The study indicated that urbanization in the district has started impacting surface water sources, therefore bregular quality monitoring is required and for sustainable urbanization the implementation of stringent rules and guidelines are needed to enhance health and preserve them for future generations.


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