The study was carried out to assess surface water quality in water bodies in Hau Giang province, Vietnam using individual surface water quality parameters and water quality index. In addition, the correlation of phytoplankton and zooplankton composition with surface water quality was also examined. The results showed that surface water quality in Hau Giang province was contaminated with organic matters, nutrients, iron and microorganisms. The water quality index (WQI= 37-84) showed that surface water ranged from moderate to good. A total of 164 species belonging to five phyla of phytoplankton were recorded with the density from 370–2260 individuals/L and 91 species belonging to five phyla of zooplankton with a density of 11,332–121,600 individuals/L. The predominance of the phytoplankton species Oscillaroria, Euglena, Phacus and the predominance of zooplankton species of the Nauplius, Rotifera and Protozoa signalize an aquatic environment rich in organic matters and nutrients. The correlation results showed that BOD, COD, NH4+-N, NO3--N and PO43--P were closely related to the density of phytoplankton while pH, DO, BOD, NH4+-N and coliform play an important role in determining the density of zooplankton species.
At the end of COP26, Vietnam has developed many institutions and policies to fulfill its commitment to bring net emissions to “zero” by 2050 and reduce methane (CH4) to at least 30% below the 2020 levels by 2030. In order to gradually achieve the above goal, an inventory of facilities with greenhouse gas emissions plays a very important role. This study was conducted to estimate the greenhouse gas emissions at a seafood export processing factory. The study was carried out based on the method of collecting data from different emission sources and calculating emissions based on the activity data and emission factors from reliable sources. The research results show that, during the study period from March 2022 to March 2023, the total emissions at the facility were 19,144.14 tons of CO2eq, of which the indirect emissions from waste and electricity accounted for the high rate of about 60.37% and 36.55% of the total CO2eq, respectively. Research results also show that CO2 is the most emitted gas into the environment and is present in most of the waste sources, in which electricity consumption and CO2 emissions are the most significant, indirectly emitting 7,102.85 tons of CO2/year (accounting for 98.51% of total waste sources). For daily waste, landfilling indirectly releases into the atmosphere an amount of methane (CH4) approximately 410 tons/year, accounting for more than 95% of the total emissions. In addition, in the process of using fuel (gasoline and DO) at the facility, a large amount of N2O gas enters the atmosphere (nearly 70% of emissions from DO and 30% from gasoline). Reduction of greenhouse gas emissions at the facility could be achieved by saving water, reducing wastewater and using clean energy.
The study aimed to evaluate the current status and potential risks of pesticide use of 23 chili growing households in the Thanh Binh district, Dong Thap province, Vietnam. The result shows that farmers used a total of 40 commercial pesticide names with 43 active ingredients, of which two active ingredients, i.e. Benomyl and Fipronil, were banned. The frequency of pesticide spraying for chili protection averaged at 8.93 times/crop, for weed control at 1.83 times/crop, for pests at 12.43 times/crop, for disease control at 14.48 times/crop and for chili growth promoting at 4.82 times/crop. Farmers sprayed pesticides with higher doses than recommended on the labels when pests and diseases occurred on chili farm. The active ingredients in powder and liquid pesticides of Mancozeb, Metalaxyl, Propined, Difenoconazole, Abamectin and Azoxystrobin have been frequently used with estimated concentrations of 5023±3886.36, 337.71±237.50, 4093.92±3628.57, 289.27±264.73, 31.60±29.02 and 652.57±468.35 g/L/ha, respectively. The predicted amounts of ineffective use of such pesticides as Benomyl, Cypermethrin, Fosetylaluminium, Propiconazole, Tebuconazole, Buprofezin, Chlorfenapyr and Difenoconazole, could pose great risks to the environment and humans. Burning is the main method chosen by chili farmers in the treatment of pesticide packaging after use. The study suggests local environmental managers should train farmers in the use and management of pesticide wastes more appropriately.
The study was conducted to assess surface water quality in Tram Chim National Park (TCNP), Dong Thap Province, Vietnam using multivariate statistics. Water samples were collected at 10 different habitats in the national park in the rainy season and dry season to analyze the parameters of temperature (T), pH, electrical conductivity (EC), turbidity, dissolved oxygen (DO), chemical oxygen demand (COD), ammonium (N-NH4+) and orthophosphate (P-PO43-), and water depth were measured monthly from January to July. The water regime is kept constantly high, affecting the water quality and biodiversity of the TCNP. The results show that the pH in the national park was in the neutral range and contaminated with COD and N-NH4+. The water quality in the fish pond and rice field habitats significantly differed compared to the remaining habitats. The result of CA also illustrates that the water quality in fish ponds and rice fields (in the buffer zone) is different from other habitats (in the protected zone) due to water exchange frequency and human activities. High pH value and organic matter content in water can affect the growth of organisms, especially Eleocharis species, an important food source for cranes. Therefore, research on the operating mechanism of sluices to have solutions to improve water quality to meet the requirements of preserving and restoring biodiversity is necessary.
Phu My species-habitat conservation area (PMCA) is a seasonal wetland area; thus, water quality plays an essential role in the development of organisms. Therefore, the study was carried out to assess surface water quality based on phytoplankton, zooplankton and benthic composition at PMCA, which has been little studied. The phytoplankton, zooplankton and benthic samples were collected at six locations (N1-N6) of the habitats and canals in November 2021. Shannon-Wiener biodiversity index (H’), Pielou index (J) and average score per taxon (ASPT) were used to assess pollution levels of surface water. A total of 71 species of phytoplankton belonging to five phyla (i.e., Chlorophyta, Euglenophyta, Bacillariophyta, Dinophyta and Chrysophyta), 57 species of zooplankton belonging to three phyla (i.e., Protozoa, Rotifera, Arthropoda) and two benthic species belong to two groups (i.e., Oligochaeta and Insecta) were detected. The phyla of Euglenophyta, Rotifera, and Insecta were the dominant groups in species composition and the phyla of Chlorophyta, Protozoa, and Insecta were dominated in terms of individual density. Species of Trachelomonas volvocina, Phacus torta, Euglena oxyuris, Arcella vulgaris, Brachionus bidentata, Lecane hastata, Lecane bulla, Lecance pyriformis and Polyarhtra vulgariis appeared at most of the studied sites, indicating the organic and nutrient pollution of the water bodies. The Shannon-Wiener biodiversity index (H’) and Pielou index (J) showed the water quality from moderate to severe pollution. The results of water quality classification according to ASPT and H’ of benthic animals had similar characteristics, indicating that the surface water is very dirty (heavy pollution). The current findings could be used to manage water quality in the future to conserve biodiversity. Furthermore, it helps to improve and expand methods for monitoring surface water quality in the conservation area, in addition to evaluating based on physical and chemical parameters.
A total of 316 soil samples in the An Giang province were collected from the industrial zone (48 samples), mining (40 samples), farming (112 samples), landfills (88 samples) and cemeteries (28 a samples) to analyze toxic elements, including Cu, Zn, Pb, Cd and As. The geoaccumulation index (Igeo), pollutant load index (PLI) and potential ecological risk index (RI) were used to assess pollution levels and ecological risks. The results showed that the concentrations of heavy metals were almost still within the allowable limits of national standards. Cd was not detected. Heavy metals were detected in the soil in the following order: As < Pb < Cu < Zn, mining < industrial < landfill < cultivation < cemetery areas. The heavy metals contributing to soil environmental variability were similarly identified in the cemetery with industry and landfill with farming. The value of Igeo shows that As has a high potential to accumulate in soil in all land uses. The ranges of PLI values presented that the soil in industrial, farming, mining and landfills areas were classified moderate, while the cemetery areas has been rated at a high level. The RI values identified very high, high, and moderate ecological risks for cemetery, industrial and farming land and landfill, mining, respectively. The combination of PLI and RI indices showed that the cemetery areas were at the highest levels of pollution and risk. The results of this study provide scientific information on pollution level and ecological risks in various land use types supporting environmental zoning and managing strategies in the An Giang province.
The study was conducted to determine the factors affecting the intention of people to segregate garbage in Vinh Chau town, Soc Trang province, Vietnam by surveying 198 households. Cronbach’s alpha analysis method, EFA analysis, and linear regression analysis were used in the study. The analysis results of Cronbach’s Alpha index, KMO and Bartlett's test showed that the questionnaire data used in the study was highly reliable and were suitable for EFA analysis. The results of linear regression analysis identified three factors including "subjective norm", "control of cognitive behavior" and "perceived level of garbage classification information" that had positive impact on intention of domestic solid waste classification of local people in Vinh Chau town, Soc Trang province, in which "subjective norm" was considered to be the most influential factor on the intention to classify domestic solid waste in the study area. Besides, the intention of the people to segregate the domestic solid waste was highly appreciated, but it has not been widely implemented in the locality. Therefore, the study proposed some governance implications based on the factors affecting the intention of people to classify household solid wastes. In particular, local authorities should pay special attention to propagating and disseminating policies and guidelines on the information of domestic solid waste and implementing a model of waste segregation at source.
This study used multivariate statistics including cluster analysis (CA) and principal component analysis (PCA) to evaluate the variability and key indicators causing changes in soil quality in Tram Chim National Park, Dong Thap province, Vietnam. Soil samples were collected in the dry season at the habitats of Ischaemum rugosum (CM), Panicum repens (CO), Nelumbo nucifera (LS), Eleocharis dulcis (NO), Oryza rufipogon (LM), Rice field (RL), Melaleuca cajuputi (T) in two layers: A (0–20 cm) and B (20–40 cm). The parameters of pH, total nitrogen (TN), total phosphorus (TP), total acidity (TA), organic matter (OM), total iron (Fe) and exchanged aluminum (Al3+) were used to assess soil quality. The results showed that soil pH was low in both A and B layers. Fe and Al were both high, and the concentrations of these metals in layer A were higher than those in layer B. The OM content was medium while the TN and TP levels were very low. Most of the soil quality indicators tended to decrease with the depth (except for TA). The results of CA analysis showed that there was almost no major change in soil quality between the two soil layers; however, the soil quality in rice field habitat was different from other habitats. The cause may be due to human impact in adding fertilizers/pesticides during farming practices. The PCA results showed at least five influencing factors, explaining 99.7% and 99.9% of soil quality variation in A and B layers. The Al3+, TA, OM, and TP parameters had the main influence on the soil quality of layer A. Meanwhile, the pH, Al3+, TA, TN, Fet indicators had influence on the soil quality of layer B. These indicators need to be future surveyed to assess the evolution of soil quality in the study area.
The study aimed to assess the variation in surface water quality in the Tien Giang province, Vietnam, and at the same time identify the main sources of water pollution. The surface water quality samples were collected at 34 locations (NM01-NM34) with 17 surface water quality indicators in March, June, September and November in canals and rivers in the Tien Giang province. Multivariate statistical analysis methods, including principal component analysis (PCA), cluster analysis (CA) and numerical discriminant analysis (DA), were used to analyze the variability and key indicators affecting the effect of multivariate statistical analysis. The analysis results show that the surface water quality in the study area is contaminated with organic (low DO, high BOD and COD) and nutrients (NH4+-N, NO2--N, PO43--P and TP), salinity (high Cl-). The PCA results showed that 14/17 surface water environmental parameters to be monitored are pH, temperature, TSS, BOD, COD, NH4+-N, NO2--N, PO43--P, TP, SO42-, Cl-, coliform and Fe. The PCA analysis showed that PC1-PC4 accounted for 79.70% of the variation in surface water quality in the study area. Potential surface water polluting sources include hydrological regime, domestic waste, agricultural production, industrial production activities. The CA results showed that 34 monitoring locations can be reduced to 27 locations, with a frequency of 4 times/year to ensure surface water quality representativeness. The DA indicated that the indicators of EC, SO42- and Cl- made the difference of the surface water quality between the wet and dry seasons. The current results provide important information on the current state of water quality for different uses and contribute to the improvement of the surface water quality monitoring system in the Tien Giang province.
The study aimed to evaluate the occurrence of some heavy metals in agricultural soil in the Hau Giang province, Vietnam. The geographical accumulation index (Igeo), pollutant load index (PLI) and ecological risk index (RI) are used to assess the pollution levels and potential ecological risks due to the presence of heavy metals in agricultural soil. The results showed that the mean concentrations of Cu, Pb and Zn in the soil ranged from 16.25–40.32, 18.05–29.92 and 52.78–147.22 mg/kg, respectively, within the limits of QCVN 03-MT:2015/BTNMT. Cluster analysis showed that Pb originated from the process of using fertilizers, especially phosphate fertilizers in farming. Cu and Zn possibly share a common origin from the use of pesticides and fungicides in agricultural production. The Igeo value of Cu, Pb and Zn gradually increases in the order of Cu < Zn < Pb. The PLI (1.03–1.97) reflected that the soil in the study area is moderately polluted. The RI (14.80–25.33) represented a low potential ecological risk. In particular, position D3 had the highest level of pollution and risk among the study sites. Pb had the highest level of accumulation in soil with the highest single ecological risk factor; thus, measures should be taken to limit the source of Pb generation. The results of the study also indicated that ingestion route is the main exposure pathway by which heavy metals can be harmful to humans.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.