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This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.  相似文献   
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钴的分光光度测定常用的显色试剂有亚硝基红盐[1]、亚硝基甲苯酚[1]、PAR、[2]、5 cl PADAB、[3]、DPPI、[4]、亦有采用多元络合物的[5]。中川元吉等研究了1-(2 噻唑偶氮)2-萘酚(简称TAN)与一些金属离子的反应,[6]提出在PH 4~10,TAN与Co~(2+)生成组成2∶1的红色络合物,Σ580nm=3.8×10~4,但未见用于具体样品分析,且需用氯仿萃  相似文献   
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Data collected from the five air-quality monitoring stations established by the Taiwan Environmental Protection Administration in Taipei City from 1994 to 2003 are analyzed to assess the temporal variations of air quality. Principal component analysis (PCA) is adopted to convert the original measuring pollutants into fewer independent components through linear combinations while still retaining the majority of the variance of the original data set. Two principal components (PCs) are retained together explaining 82.73% of the total variance. PC1, which represents primary pollutants such as CO, NO(x), and SO(2), shows an obvious decrease over the last 10 years. PC2, which represents secondary pollutants such as ozone, displays a yearly increase over the time period when a reduction of primary pollutants is obvious. In order to track down the control measures put forth by the authorities, 47 days of high PM(10) concentrations caused by transboundary transport have been eliminated in analyzing the long-term trend of PM(10) in Taipei City. The temporal variations over the past 10 years show that the moderate peak in O(3) demonstrates a significant upward trend even when the local primary pollutants have been well under control. Monthly variations of PC scores demonstrate that primary pollution is significant from January to April, while ozone increases from April to August. The results of the yearly variations of PC scores show that PM(10) has gradually shifted from a strong correlation with PC1 during the early years to become more related to PC2 in recent years. This implies that after a reduction of primary pollutants, the proportion of secondary aerosols in PM(10) may increase. Thus, reducing the precursor concentrations of secondary aerosols will be an effective way to lower PM(10) concentrations.  相似文献   
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Atlantic salmon (Salmon salar) populations from four locations, two from isolated Swedish lake systems, one of the Baltic Sea and one of the North Atlantic, were analyzed to determine the concentrations and spatial variations of polybrominated diphenyl ethers (PBDEs) and organochlorines (DDT, PCB and HCH). Levels in both liver and muscle were in the same range as previously reported in Atlantic salmon, except for elevated concentrations found per lipid weight (lw) in the muscle samples of salmon from the North Atlantic ( summation PBDE 263 ng g(-1) lw, summation PCB 3262 ng g(-1) lw, summation DDT 4063 ng g(-1) lw summation HCH 131 ng g(-1)). In general, elevated concentrations in the muscles compared to the liver were observed, especially in lipid depleted migrating salmon, possibly caused by a faster lipid depletion compared with the redistribution of PBDEs, PCBs and DDTs. These findings indicated that the life stage and thereby the lipid dynamics of the fish must be considered prior to comparison based on lipid weight, especially as Atlantic salmon experience large variations in lipid content during periods of migration. The dominating PBDE congener was BDE-47, representing more than 25% in all fish. The PBDE pattern changed between locations, with a significant separation of the fish from the freshwater and marine environment when analyzed using principal component analysis.  相似文献   
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中国科协本着择优支持的原则,自1997年决定对中国科协所属全国性学会、协会、研究会主办的优秀基础性和高科技学术期刊给予专项经费资助,重点资助那些能够代表我国基础研究学术水平、与国民经济发展战略密切相关、在国内外有较大影响的基础性和高科技的学术期刊.《中国环境科学》继获中国科协1997年度择优支持专项资助经费后,1998年再度成为中国科协择优支持的基础性和高科技学术期刊之一.1997—1998年,《中国环境科学》编辑部利用此项经费提高了期刊纸张规格,并将版面增至100页.1999年,《中国环境科学…  相似文献   
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利用ECMWF-ERA5和NCEP-FNL再分析资料作为中尺度气象模式WRF(The Weather Research and Forecasting)初始场,对四川盆地2018年1月一次大气污染过程气象要素进行了模拟,对比分析了气温、风速、风向、相对湿度、边界层高度、温廓线的模拟效果,并结合大气超级站观测数据对模拟结果进行评估.结果表明:两种资料均能较好地模拟出气象要素的变化情况,但由于两套资料时空分辨率、采用的模式、同化方案、数据来源和质量控制方案存在一定区别,导致各要素模拟效果并不一致.与NCEP-FNL相比,ECMWF-ERA5模拟的平均相对湿度(59.23%)与观测值差异更小,且均方根误差、偏差较小,分别为9.83%和-0.83%,但NCEP-FNL模拟的平均气温(8.99℃)更接近观测值,且偏差值较小,为-0.04℃.两组模拟结果均显示盆地内部为模拟区域的低风速区,相对湿度模拟值在60%以上,气温高于西部山地地区.NCEP-FNL模拟的盆地内部气温、相对湿度、风速小于ECMWF-ERA5模拟值,但边界层高度模拟值较大.ECMWF-ERA5模拟的逆温强度相比较小,且温度露点差较小.此次污染过程PM2.5和PM10日均浓度最大值分别为190.1 μg·m-3和261.0 μg·m-3,相对湿度增大引发的颗粒物吸湿增长是导致PM2.5和PM10质量浓度突增的主要原因.  相似文献   
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成都市大气颗粒物粒径分布及其对能见度的影响   总被引:1,自引:0,他引:1  
使用环境颗粒物分析仪(GRIMM180)对成都市2018年10月—2019年9月0.25~32 μm的大气颗粒物数浓度粒径分布进行观测,结合细颗粒物(PM2.5)质量浓度以及相对湿度(RH)、能见度、降水量等气象要素数据,分析了成都市大气颗粒物粒径分布及其与能见度的关系.结果表明,观测期间成都市大气颗粒物以细粒子为主,0.25~0.5 μm的粒子数浓度占总数浓度的97.75%,数浓度谱呈单峰分布,2018年秋季、2019年夏季表面积谱呈双峰分布,2018年冬季、2019年春季表面积谱呈三峰,体积谱均为三峰分布;在不同RH区间,PM2.5质量浓度及数浓度均与能见度呈负相关,且其中0.25~0.5 μm粒径段的细颗粒物因为对可见光波段的米散射效应而对能见度产生较大影响;在不同RH情况下,不同粒径段颗粒物数浓度对能见度的影响程度有所差别:在低RH(<70%)下,0.25~0.3 μm粒径段粒子数浓度对能见度影响最大;在中等RH(70%~80%)下,0.3~0.5 μm粒径段粒子数浓度对能见度的影响最大;而在高RH(>80%)下,0.3~0.5 μm和0.5~1 μm粒径段粒子数浓度对能见度影响相当.  相似文献   
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