Đăng nhập
 
Tìm kiếm nâng cao
 
Tên bài báo
Tác giả
Năm xuất bản
Tóm tắt
Lĩnh vực
Phân loại
Số tạp chí
 

Bản tin định kỳ
Báo cáo thường niên
Tạp chí khoa học ĐHCT
Tạp chí tiếng anh ĐHCT
Tạp chí trong nước
Tạp chí quốc tế
Kỷ yếu HN trong nước
Kỷ yếu HN quốc tế
Book chapter
Tạp chí quốc tế 2023
Số tạp chí 9(2023) Trang: 192-201
Tạp chí: Civil Engineering Journal

Lung Ngoc Hoang Nature Reserve has a crucial role in conserving and protecting the natural ecosystem and biodiversity in the Mekong Delta, Vietnam, and the local communities also receive great benefits from aquatic resources in this nature reserve. This study was conducted to assess water quality in the Lung Ngoc Hoang Nature Reserve and to provide important information for the monitoring program using multivariate statistical methods. Water samples were collected bimonthly from fifteen locations belonging to five functional zones of the nature reserve (i.e., buffer zone, main canal, administrative and service zone, ecological restoration zone, and strictly protected zone). The physiochemical properties of water samples were measured, including temperature, pH, electrical conductivity (EC), total suspended solids (TSS), dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), sulfate (SO42-), iron (Fe2+), and aluminum (Al3+). The results showed that the levels of TSS, COD, and Fe2+ exceeded the Vietnamese standard on surface water quality, and the DO level was also far below the standard. Besides, the concentrations of TN, TP, and Al3+ in the nature reserve area showed the risk of eutrophication and negative effects on aquatic organisms. Problems of water quality were observed in the main canal and the administrative and service zones more than in the other zones. Cluster analysis (CA) suggested a reduction in the number of monitoring frequencies and locations to four months (i.e., January, April, July, and September) and twelve locations, respectively. This reduction allows for a decrease in the effort and cost of the monitoring program with adequate information to evaluate water quality. Moreover, principal component analysis (PCA) identified five principal components, which could explain 80.98% of the total variance of the initial dataset. Potential pollution sources were also recognized based on PCA, including the nature properties of sulfate-acid soils, livestock, fertilizer, and domestic activities. The findings of this study can enhance our understanding of water quality in the nature reserve area and the effectiveness of future monitoring programs.

Các bài báo khác
Số tạp chí 13831(2023) Trang: 93-104
Tạp chí: (LNCS) Computational Data and Social Networks
Số tạp chí 11(2023) Trang: 303-313
Tạp chí: Russian Law Journal
Số tạp chí 72(2023) Trang: 7004411
Tạp chí: IEEE Transactions on Instrumentation and Measurement
Số tạp chí 31(2023) Trang: 825-857
Tạp chí: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Số tạp chí 5(2023) Trang:
Tạp chí: Applied Set-Valued Analysis and Optimization
Số tạp chí 22(2023) Trang: https://worldscientific.com/doi/10.1142/S1469026823500165
Tạp chí: International Journal of Computational Intelligence and Applications
Số tạp chí 1863(2023) Trang:
Tạp chí: Communications in Computer and Information Science
Số tạp chí 6(2023) Trang: 956-963
Tạp chí: International Journal of Multidisciplinary Research and Analysis
Số tạp chí 23(2023) Trang: 271-282
Tạp chí: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development


Vietnamese | English






 
 
Vui lòng chờ...