Concentrations of eleven heavy metals （AI, Cd, Co, Cu, Cr, Fe, Mn, Mo, Ni, Pb and Zn） and pH determination in water from nine spade-sunk wells of 2-15 meter depth, five drilled wells of 30-72 meter depth, and two wa...Concentrations of eleven heavy metals （AI, Cd, Co, Cu, Cr, Fe, Mn, Mo, Ni, Pb and Zn） and pH determination in water from nine spade-sunk wells of 2-15 meter depth, five drilled wells of 30-72 meter depth, and two water supply faucets in the Kipushi mining town, south-east of the Democratic Republic of Congo, were investigated from February to July 2011. The results were compared with the World Health Organization （WHO） drinking water pH and heavy metal guidelines. Mean concentrations of Pb in water from four spade-sunk wells and three drilled wells, those of A1 and Fe in water from four and two spade-sunk wells, and those of Cd in water from four drilled wells were higher than the WHO drinking water maximum permissible contaminant limits of 0.01 mg/L, 0.2 mg/L, 0.3 mg/L and 0.003 mg/L respectively, probably due to the mining activities carried out in Kipushi for about 90 years. The pH mean values of water from five spade-sunk wells and three drilled wells were lower than the WHO drinking water pH optimum of 6.5-9.5, suggesting that the water from those eight wells was not conform to the chemical quality of water for human consumption.展开更多
The trimmed mean is one of the most common estimators of location for symmetrical distributions, whose effect depends on whether the trim rate matches the proportion of contaminated data. Based on the geometric charac...The trimmed mean is one of the most common estimators of location for symmetrical distributions, whose effect depends on whether the trim rate matches the proportion of contaminated data. Based on the geometric characteristics of the curve of the trimmed variance function, the authors propose two kinds of adaptive trimmed mean algorithms. The accuracy of the estimators is compared with that of other often-used estimates, such as sample mean, trimmed mean, trimean, and median, by means of simulation method. The results show that the accuracy of the adaptive derivative optimization trimmed mean method is close to the optimum performance in case of medium contamination （the contamination rate is less than 50%）. Under high contamination situation （the contamination rate equals 8070）, the performance of the estimates is comparable to that of the median and is superior to other counterparts.展开更多
文摘Concentrations of eleven heavy metals （AI, Cd, Co, Cu, Cr, Fe, Mn, Mo, Ni, Pb and Zn） and pH determination in water from nine spade-sunk wells of 2-15 meter depth, five drilled wells of 30-72 meter depth, and two water supply faucets in the Kipushi mining town, south-east of the Democratic Republic of Congo, were investigated from February to July 2011. The results were compared with the World Health Organization （WHO） drinking water pH and heavy metal guidelines. Mean concentrations of Pb in water from four spade-sunk wells and three drilled wells, those of A1 and Fe in water from four and two spade-sunk wells, and those of Cd in water from four drilled wells were higher than the WHO drinking water maximum permissible contaminant limits of 0.01 mg/L, 0.2 mg/L, 0.3 mg/L and 0.003 mg/L respectively, probably due to the mining activities carried out in Kipushi for about 90 years. The pH mean values of water from five spade-sunk wells and three drilled wells were lower than the WHO drinking water pH optimum of 6.5-9.5, suggesting that the water from those eight wells was not conform to the chemical quality of water for human consumption.
基金supported in part by the National Basic Research Program of China under Grant No. 2010CB950703the Natural Science Foundation of China under Grant No.10901020the Fundamental Research Funds for the Central Universities
文摘The trimmed mean is one of the most common estimators of location for symmetrical distributions, whose effect depends on whether the trim rate matches the proportion of contaminated data. Based on the geometric characteristics of the curve of the trimmed variance function, the authors propose two kinds of adaptive trimmed mean algorithms. The accuracy of the estimators is compared with that of other often-used estimates, such as sample mean, trimmed mean, trimean, and median, by means of simulation method. The results show that the accuracy of the adaptive derivative optimization trimmed mean method is close to the optimum performance in case of medium contamination （the contamination rate is less than 50%）. Under high contamination situation （the contamination rate equals 8070）, the performance of the estimates is comparable to that of the median and is superior to other counterparts.
