期刊
ENVIRONMENTAL MONITORING AND ASSESSMENT
卷 184, 期 7, 页码 4539-4551出版社
SPRINGER
DOI: 10.1007/s10661-011-2283-4
关键词
Intensive horticulture; Pesticides; Nitrates; Groundwater; Chemometric analysis
资金
- FCT (Portuguese Foundation for Science and Technology) [SFRH/BD/41764/2007, SFRH/BD/67042/2009]
- [PTDC/AGR-ALI/101583/2008]
- Fundação para a Ciência e a Tecnologia [PTDC/AGR-ALI/101583/2008, SFRH/BD/41764/2007, SFRH/BD/67042/2009] Funding Source: FCT
A monitoring program of nitrate, nitrite, potassium, sodium, and pesticides was carried out in water samples from an intensive horticulture area in a vulnerable zone from north of Portugal. Eight collecting points were selected and water-analyzed in five sampling campaigns, during 1 year. Chemometric techniques, such as cluster analysis, principal component analysis (PCA), and discriminant analysis, were used in order to understand the impact of intensive horticulture practices on dug and drilled wells groundwater and to study variations in the hydrochemistry of groundwater. PCA performed on pesticide data matrix yielded seven significant PCs explaining 77.67% of the data variance. Although PCA rendered considerable data reduction, it could not clearly group and distinguish the sample types. However, a visible differentiation between the water samples was obtained. Cluster and discriminant analysis grouped the eight collecting points into three clusters of similar characteristics pertaining to water contamination, indicating that it is necessary to improve the use of water, fertilizers, and pesticides. Inorganic fertilizers such as potassium nitrate were suspected to be the most important factors for nitrate contamination since highly significant Pearson correlation (r = 0.691, P < 0.01) was obtained between groundwater nitrate and potassium contents. Water from dug wells is especially prone to contamination from the grower and their closer neighbor's practices. Water from drilled wells is also contaminated from distant practices.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据