Ứng dụng chỉ số chất lượng nước dưới đất và phân tích thành phần chính đánh giá chất lượng nước tầng chứa nước Pleisctocen, huyện Tân Thành, tỉnh bà Rịa - Vũng Tàu=Application of groundwater quality index (GWQI) and principle component analysis (PCA) to assess the groundwater quality of Pleistocene aquifer in Tan Thanh district, Ba Ria

Ứng dụng chỉ số chất lượng nước dưới đất và phân tích thành phần chính đánh giá chất lượng nước tầng chứa nước Pleisctocen, huyện Tân Thành, tỉnh bà Rịa - Vũng Tàu=Application of groundwater quality index (GWQI) and principle component analysis (PCA) to assess the groundwater quality of Pleistocene aquifer in Tan Thanh district, Ba Ria – Vung Tau province

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Tác giả: Nhật Trường Hoàng, Hải Âu Nguyễn, Kiên Quyết Nguyễn, Thị Tuyết Nhi Phạm, Nguyễn Hồng Ngọc Phan, Hồng Minh Vy Tất

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Phát triển Khoa học & Công nghệ: Chuyên san Khoa học Trái đất và Môi trường, 2018

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 471878

Thêm vào giỏ

Ở nghiên cứu này, các phương pháp chỉ số chất lượng nước (GWQI) và phân tích thành phần chính (PCA) được ứng dụng cho việc đánh giá mức độ ô nhiễm và các yếu tố ảnh hưởng đến chất lượng nước tầng chứa nước Pleistocen khu vực huyện Tân Thành, tỉnh Bà Rịa – Vũng Tàu. Các mẫu nước dưới đất được thu thập từ 17 giếng quan trắc vào tháng 4 (mùa khô) và tháng 10 (mùa mưa) trong giai đoạn 2012-2017. Chín thông số chất lượng nước (pH, TDS, độ cứng, Cl-, F-, NO3-, SO42-, Cu2+ và Fe2+) được lựa chọn để phân tích, đánh giá trong nghiên cứu này. Kết quả tính toán GWQI của 17 giếng vào mùa khô có chất lượng nước từ tốt đến rất tốt (chiếm 82%) và 17 giếng vào mùa mưa có chất lượng từ rất tốt đến trung bình (chiếm 94%). Lượng giếng quan trắc có chất lượng nước xấu – rất xấu cũng có sự thay đổi giữa mùa khô và mùa mưa. PCA đã chỉ ra được hai nhân tố đặc trưng gây ảnh hưởng đến chất lượng nước khu vực nghiên cứu. Hai thành phần chính gồm sự tương tác của các thành phần hóa học trong trầm tích sông và đặc điểm thạch học tầng chứa nước hay hoạt động nhân sinh đã giải thích được 65,555% (mùa khô) và 61,562% (mùa mưa) biến thiên phương sai của tập mẫu.Kết quả nghiên cứu cung cấp những thông tin cụ thể, công cụ hữu ích trong việc xử lý các dữ liệu quan trắc phức tạp và phân vùng chất lượng nước dưới đất khu vực nghiên cứu, giúp các cơ quan chức năng trong việc hoạch định các chiến lược thích hợp trong quản lý bền vững tài nguyên nước dưới đấtThis research applied the groundwater quality index (GWQI) and principal component analysis (PCA) for assessing pollution levels and factors effecting groundwater quality of Pleistocene aquifer in Tan Thanh district, Ba Ria – Vung Tau province. Seventeen wells were colected in April (dry season) and October (rainy season) during 5 years (2012-2017). Nine parameters of water (pH, TDS, độ cứng, Cl-, F-, NO3-, SO42-, Cu2+ và Fe2+) were collected for analyses. The results of GWQI (dry season) divided into 17 wells in dry season with groundwater quality f-rom good to very good which occupied to 82% databases, compared to 94% of rainy season. Meanwhile, the number of wells significantly changed f-rom poor to very poor water between two seasons. PCA demonstrated that two specific factors, interaction of chemical components in river sediments and c-haracter of aquifer and anthropogenic, affected to the quality of groundwater in this study area. These explained 65.555% (dry season) and 61.562% (rainy season) of the variances. This result is provided specific information, and the useful tools in order to deal with the complicated databases, as well as zone the groundwater quality in the study area. This further help the authorities to plan suitable strategy for groundwater quality management.

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