Using multivariate statistical methods to identify key surface water pollutants in the dry season in a Coastal province, Vietnam
Số trang: 12
Loại file: pdf
Dung lượng: 763.29 KB
Lượt xem: 6
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
This study was conducted to analyze water quality in a coastal province of Vietnam. Multivariate statistical methods, namely cluster analysis (CA) and principal component analysis (PCA) were utilized.
Nội dung trích xuất từ tài liệu:
Using multivariate statistical methods to identify key surface water pollutants in the dry season in a Coastal province, Vietnam
Nội dung trích xuất từ tài liệu:
Using multivariate statistical methods to identify key surface water pollutants in the dry season in a Coastal province, Vietnam
Tìm kiếm theo từ khóa liên quan:
Agricultural sciences Coastal water quality Organic matters Principal component analysis Multivariate statistical methodsTài liệu liên quan:
-
19 trang 105 0 0
-
14 trang 35 0 0
-
A data analytics approach to player assessment
19 trang 25 0 0 -
Ebook Applied linear algebra (Second edition): Part 2
377 trang 24 0 0 -
A review of digital economy and digital economics
9 trang 24 0 0 -
81 trang 23 0 0
-
Forecasting SET50 index with multiple regression based on principal component analysis
24 trang 22 0 0 -
The impacts of social and economic determinants on poverty: An empirical study on Southeast Asia
13 trang 22 0 0 -
13 trang 22 0 0
-
Who cares more about the environment?: An empirical study in Vietnam
16 trang 22 0 0