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1.
广州市流溪河水库监测布点优化研究   总被引:1,自引:0,他引:1  
运用方差分析及模糊聚类分析,对流溪河水库监测布点进行优化研究,结果表明:水库水质良好,各监测点间及垂向采样点间均无显著性差异;4个库区监测点可分为3类,其余监测点可分为4类。综合考虑确定流溪河水库监测布点方案,应设置对照、控制、出水3类断面,共7个监测点,分别为玉溪河、吕田河、汇水区、库区3个和大坝监测点,每年6月进行垂向分层采样,其余月份进行表层采样。  相似文献   

2.
The monitoring of water quality today provides a great quantity of data consisting of the values of the parameters measured as a tunction of bme or as spatial function.In the marine environment, and especially in the suspended material, increasing importance is being given to the presence of particular pollution indices. With the increase in the number of sampling points, the amount of data increases and examining the results and their consequent interpretation becomes more difficult. To overcome such difficulties, numerous chemometric techniques have been introduced in environmental chemistry, such as Principal Component Analysis (PCA).The use of the PCA in this work has been applied to the analysis of twenty three different sampling points in three seasonal sampling cruises in the same year. This led to recognition of the influence and the localisation of wastewaters in the Augusta bay after measuring the water pollution parameters.The PCA made evident the difference between some sampling sites whose data were initially thought to be similar where the presence of hot industrial water discharge or urban wastewater determines the permanent water quality.Furthermore, it has allowed a choice of more significant parameters for monitoring programs and more representative sampling site locations.  相似文献   

3.
我国土壤环境质量监测技术路线研究   总被引:11,自引:6,他引:5  
土壤环境质量监测技术路线根据"十二五"主要任务目标,设计了土壤环境监测国家、省、地(市)三级网络构架和以县级采样、地(市)级分析、省级质控、国家发布的网络运行模式,明确了每年监测一类重点区、5年完成一个监测周期的全国总报告,确立了以基本农田、蔬菜和果树基地、饮用水源地、重污染企业周边、规模化养殖场周边等为重点区域的约2.5万个国控采样点;对土壤重金属和有机污染物的分析测试与评价方法进行了优化筛选,制定了质控措施,对深入开展土壤环境质量例行监测具有重要意义。  相似文献   

4.
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.  相似文献   

5.
选择分布在不同流域的15个与自动监测站位置一致性较好的断面,对其进行为期1年的“同时同点位”对比监测。分析数据发现:由于采样时间和位置的偏差,自动监测月均值与常规手工监测数据的可比性并不理想。采用以下4种方法评价水质:自动5项、手动5项、手动21项、自动5项+手动16项。比较第1和第2种方法,水质评价类别相同与变化一类(发生一个水质类别变化)的占比之和在85%左右;比较第1和第3种方法,类别相同与变化一类的占比之和在80%左右;比较第3和第4种方法,类别相同与变化一类的占比之和接近90%,因此该组合是更合理的地表水水质评价方法。  相似文献   

6.
A comprehensive monitoring program was conducted during 2005-2007 to investigate seasonal variations of hydrologic stability and water quality in the Yeongsan Reservoir (YSR), located at the downstream end of the Yeongsan River, Korea. A principal component analysis (PCA) was performed to identify factors dominating the seasonal water quality variation from a large suite of measured data--11 physico-chemical parameters from 48 sampling sites. The results showed that three principal components explained approximately 62% of spatio-seasonal water quality variation, which are related to stratifications, pollutant loadings and resultant eutrophication, and the advective mixing process during the episodic rainfall-runoff events. A comparison was then made between YSR and an upstream freshwater reservoir (Damyang Reservoir, DYR) in the same river basin during an autumn season. It was found that the saline stratification and pollutant input from the upstream contributed to greater concentrations of nutrients and organic matter in YSR compared to DYR. In YSR, saline stratification in combination with thermal stratification was a dominant cause of the longer period (for two consecutive seasons) of hypoxic conditions at the reservoir bottom. The results presented here will help better understand the season- and geography-dependent characteristics of reservoir water quality in Asian Monsoon climate regions such as Korea.  相似文献   

7.
8.
为精准、客观、全面评价长江水环境质量和支撑长江大保护,通过研究制定一系列管理制度和技术规范,以优化调整的水环境质量监测网络为基础,建立了涉及管理制度、监测技术、质量控制和数据审核等方面的水质自动监测与采测分离手工监测相结合的网络运行机制。研究自动与手工监测的总磷前处理方式,实现了自动与手工监测数据的匹配和融合,并将融合数据应用于长江水环境质量评价、预警、考核与排名,实现了长江水环境质量监测网络的业务化运行。  相似文献   

9.
In this work, four major Lebanese rivers were investigated, the Damour, Ibrahim, Kadisha, and Orontes, which are located in South, Central, and North Lebanon and Bekaa Valley, respectively. Five sampling sites were considered from upstream to downstream, and 12 sampling campaigns over four seasons were conducted during 2010–2011. Thirty-seven physicochemical parameters and five microbial tests were evaluated. A principal component analysis (PCA) was used for data evaluation. The first PCA, applied to the matrix-containing data that was acquired on all four rivers, showed that each river was distinct in terms of trophic state and pollution sources. The Ibrahim River was more likely to be polluted with industrial and human discharges, while the Kadisha River was severely polluted with anthropogenic human wastes. The Orontes and Damour rivers seemed to have the lowest rates of water pollution, especially the Orontes, which had the best water quality. PCA was also performed on individual data matrices for each river. In all cases, the results showed that the springs of each river have good water quality and are free from severe contamination. The other monitoring sites on each river were likely exposed to human activities and showed important spatial evolution. Through this work, a spatiotemporal fingerprint was obtained for each studied river, defining a “water mass reference” for each one. This model could be used as a monitoring tool for subsequent water quality surveys to highlight any temporal evolution of water quality.
Graphical abstract ?
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10.
Multivariate statistical techniques were applied to evaluate spatial/temporal variations, and to interpret water quality data set obtained at Alqueva reservoir (south of Portugal). The water quality was monitored at nine different sites, along the water line, over a period of 18 months (from January 2006 to May 2007) using 26 water quality parameters. The cluster analysis allowed the formation of five different similarity groups between sampling sites, reflecting differences on the water quality at different locations of the Alqueva reservoir system. The PCA/FA identified six varifactors, which were responsible for 64% of total variance in water quality data set. The principal parameters, which explained the variability of quality water, were total phosphorus, oxidability, iron, parameters that at high concentrations indicate pollution from anthropogenic sources, and herbicides indicative of an intensive agricultural activity. The spatial analysis showed that the water quality was worse in the north of the reservoir.  相似文献   

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