Assessment of Physicochemical Characteristics of Surface Water in the Full-Dyke and Semi-Dyke Systems: A Case Study

Abstract

The present study aimed to assess the physicochemical characteristics of surface water in the full-dyke (FD) and semi-dyke (SD) systems of the An Giang province. Water samples were collected in both seasons in 2019 (1) the first monitoring phase in the dry season (April) and (2) the second monitoring phase in the rainy season (October). At each season, the surface water samples were collected at 15 sites in the FD system and 15 sites in the SD system to analyze the water quality parameters. The results showed that the concentrations of DO, COD, BOD, TSS, NO 3 -, NH 4 + , TKN, PO 4 3and TP parameters in the FD system were higher than in the SD system and there was a significant difference (p<0.05), except the value of pH and DO in the dry season. The DO, COD, BOD 5 and TSS concentrations in the FD system tended to exceed the Vietnamese standard threshold (QCVN 08:2015/ BTNMT, column B1), but in the SD system, these values were within the allowable limits of Vietnamese Standard. Other parameters, such as NO 3 -, NH 4 + , TKN, PO 4 3and TP exceeded the threshold of the Vietnamese standard in both systems. The results of this study provide the scientific information on water pollution inside the FD system. Therefore, it was expected that the local government of the An Giang province should have long-term strategies to manage the FD system to improve the water quality inside the FD system.

Health Impacts of the 2023 Flood in Pakistan: A Comprehensive Case Study on Skin-related Ailments and Waterborne Diseases

“…The establishment and maintenance of early warning systems are crucial to prevent casualties and mitigate health impacts [5]. Timely alerts allow communities to take preventive measures and evacuate vulnerable areas.…”

“…The experience of the 2023 flood aligns with these findings, where the absence of proper shelter and stagnant water contributed to an elevated mosquito-borne disease risk. Studies examining the impact of floods on vulnerable populations, including the elderly and children, underscore the disproportionate health challenges they face [1,2,5,6]. The 2023 flood in Pakistan highlighted the exacerbated vulnerability of these demographics to heat-related illnesses due to the lack of cooling facilities and the psychological stress of displacement.…”

The Impact of Wastewater on the Quality of Water of Nerodime River

“…The dumping of wastewater into surface water endangers the aquatic ecosystem by disrupting natural environmental conditions and exposing aquatic species living in that area to hazardous chemicals (Oyekanmi et al, 2021). The amount of biodegradable organic components that end up in receiving water bodies from inadequately treated wastewater effluents greatly increases the consumption of dissolved oxygen (Khanh & Nam 2022;Hasanawi & Salami 2022;El Ouadrhiri et al, 2022). As a result, as the concentration of dissolved oxygen declines, aquatic species' survival becomes challenging and perhaps dangerous.…”

Using Multicriteria Statistical Analysis for Interpreting the Spatiotemporal Fluctuations of Surface Water Quality in the Vietnamese Mekong Delta Province

“…The physical and chemical parameters tested include temperature, pH, electrical conductivity (EC), dissolved oxygen (DO), total suspended solids (TSS), chemical oxygen demand (COD), biological oxygen demand (BOD), ammonium (NH 4 + -N), nitrite (NO 2 − -N), nitrate (NO 3 − -N), sulfate (SO 4 2− ), orthophosphate (PO 4 3− -P), chloride (Cl − ), total nitrogen (TN), total phosphorus (TP), and biological factors (coliform) [7]. In the previously reported studies, the results of water quality were evaluated using Vietnamese national technical regulations on surface water quality (QCVN 08-MT:2015/BTNMT) [7,8] or water quality index [9]. However, these assessment methods are very simplistic, using a small dataset for comparison in water quality assessment; meanwhile, the vital information hidden in the large dataset was not explored, which has been demonstrated in the previous sstudies [8][9][10].…”

“…In the previously reported studies, the results of water quality were evaluated using Vietnamese national technical regulations on surface water quality (QCVN 08-MT:2015/BTNMT) [7,8] or water quality index [9]. However, these assessment methods are very simplistic, using a small dataset for comparison in water quality assessment; meanwhile, the vital information hidden in the large dataset was not explored, which has been demonstrated in the previous sstudies [8][9][10]. In the recent studies, multivariate statistical methods are commonly used for water quality assessments.…”