共查询到20条相似文献,搜索用时 581 毫秒
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采用离子选择电极法测定水中氯化物,通过试验确定参比溶液、离子强度调节剂的配制,并用添加氯离子氧化剂和离子浓度调节剂的方法排除干扰离子对测定的影响,使得复合氯离子电极测得的能斯特曲线响应系数为93.2%。标准品的加标回收率为99.8%±0.6%,测定结果的 RSD为0.4%。用该方法与国标硝酸银滴定法同时测定实际水样,两方法的测定值绝对误差在允许范围内。 相似文献
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赵慧 《甘肃环境研究与监测》2003,16(4):349-349,358
采用离子色谱法测定饮用水中的氟化物、氯化物、硝酸盐氮和硫酸根其有别于常规的化学分析法,可以不用配制显色剂等溶液,快速高效且灵敏度高. 相似文献
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采用离子色谱法测定水中溴离子与碘离子,选择AS19阴离子交换分离柱、KOH淋洗液自动发生器、抑制型电导检测。溴离子与碘离子分别在14.8 μg/L~100 mg/L与30.4 μg/L~100 mg/L范围内线性良好,检出限分别为3.7 μg/L与7.6 μg/L,环境水样平行测定的RSD分别为0.2%~1.5%与0.3%~1.6%,两个质量浓度水平的加标回收率分别为91.8%~105%与89.5%~93.4%。 相似文献
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基于三氯乙醛溶于水后形成水合三氯乙醛,在碱性溶液中与OH-发生卤仿反应分解为氯仿和甲酸盐的原理,采用离子色谱法检测甲酸浓度,从而计算出水样中三氯乙醛浓度。方法线性良好,检出限为0.007 mg/L,检测上限为100 mg/L,标准溶液平行测定的RSD<3%,加标回收率为99.7%,适用于不含甲酸水样中三氯乙醛的测定。 相似文献
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离子色谱法测定水中主要阳离子 总被引:7,自引:0,他引:7
报导了水中阳离子Li^+,Na^+,K^+,Ca^2+〉Mg^2+的离子色谱分析及其分析精密度,准确性和线性范围。与阴离子组分同时测定用于水中离子总量的分析,获得满意结果。 相似文献
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通过全国多家实验室测定的大量监测数据研究了原子荧光法测定水中砷的质量控制指标,并与《水和废水监测分析方法》(第4版)中的相关指标进行了比较,旨在为环境监测工作提供质量控制依据和质量控制指标。研究表明,标准样品实验室内相对偏差的控制范围为小于等于4%;浓度小于0.05 mg/L的实际样品的相对偏差小于等于10%,浓度大于等于0.05 mg/L时相对偏差小于等于5%。实验室间相对偏差的控制范围为小于等于10%。相对误差一般控制在±15%以内,加标回收率为90%~110%。 相似文献
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离子色谱法测定水中总硬度 总被引:1,自引:0,他引:1
采用离子色谱法测定水中钙、镁离子质量浓度,并以此计算水中总硬度。方法在0 mg/L~10.0 mg/L范围内线性良好,钙、镁离子的方法检出限分别为0.02 mg/L、0.003 mg/L。该方法用于测定标准混合溶液和有证标准物质,测定结果均满足质控要求。实际水样中钙、镁离子均检出,且测定结果的RSD为0.3%~1.4%,加标回收率为91.0%~103%。用该方法与国标法同时测定实际样品,结果无明显差异。 相似文献
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深圳市河流水质评价指标筛选方案探讨 总被引:4,自引:0,他引:4
通过计算各条河流的综合污染指数和各项水质指标的污染分担率,对深圳市8条主要河流1999—2008年水质监测数据进行分析,最终从15项常规水质指标中筛选出氨氮、总磷、生化需氧量、化学需氧量、高锰酸盐指数、石油类、挥发酚、硫化物和六价铬9项指标,建议作为深圳市河流水质评价的统一指标。 相似文献
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Evaluation Score and Interpretation Index for the Ecological Quality of Running Waters in Central and Northern Hellas 总被引:3,自引:0,他引:3
The present study aims at creating an evaluation system for the quality of running waters, based on the analysis of benthic
macroinvertebrate records from Hellenic rivers (473 samples from 8 river basins). The proposed evaluation system (Hellenic
Evaluation Score and its Interpretation Index) may be used for waters sampled with the cost effective semi-quantitative sampling
method of “3 min kick-sweep” and requires benthic macroinvertebrates to be identified to the taxonomic level of family. Though
resulting from a modification of the Spanish score BMWP, it differs from it in the following characteristics: a) it includes
the relative abundance of benthic macroinvertebrates and b) it takes into consideration the habitat diversity of the studied
site, classifying it as “poor” or “rich”, based on some parameters of the System B of the Water Framework Directive (2000/60/EU).
Its interpretation is also based on a five-scaled classification system, consistent with the provisions of the same Directive. 相似文献
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Application of CCME Water Quality Index to Monitor Water Quality: A Case Study of the Mackenzie River Basin, Canada 总被引:2,自引:0,他引:2
All six ecosystem initiatives evolved from many years of federal, provincial, First Nation, local government and community attention to the stresses on sensitive habitats and species, air and water quality, and the consequent threats to community livability. This paper assesses water quality aspect for the ecosystem initiatives and employs newly developed Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) which provides a convenient mean of summarizing complex water quality data that can be easily understood by the public, water distributors, planners, managers and policy makers. The CCME WQI incorporates three elements: Scope – the number of water quality parameters (variables) not meeting water quality objectives (F
1); Frequency – the number of times the objectives are not met (F
2); and Amplitude. the extent to which the objectives are not met (F
3). The index produces a number between 0 (worst) to 100 (best) to reflect the water quality. This study evaluates water quality of the Mackenzie – Great Bear sub-basin by employing two modes of objective functions (threshold values): one based on the CCME water quality guidelines and the other based on site-specific values that were determined by the statistical analysis of the historical data base. Results suggest that the water quality of the Mackenzie-Great Bear sub-basin is impacted by high turbidity and total (mostly particulate) trace metals due to high suspended sediment loads during the open water season. Comments are also provided on water quality and human health issues in the Mackenzie basin based on the findings and the usefulness of CCME water quality guidelines and site specific values. 相似文献
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离子选择电极法测定水中氟离子影响因素的探讨 总被引:1,自引:0,他引:1
离子选择电极法测定水中氟离子的监测方法,因其操作简单、干扰少、不必进行预处理等优点,广泛应用于环境监测领域。但国家标准检测方法对检测过程条件控制及影响因素等没有明确写明。本文结合实验和文献资料,对检测过程中出现的结果偏差进行了探讨。 相似文献
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An Index to Measure Depreciation in Air Quality in Some Coal Mining Areas of Korba Industrial Belt of Chhattisgarh, India 总被引:1,自引:0,他引:1
Singh G 《Environmental monitoring and assessment》2006,122(1-3):309-317
The comparison with National Ambient Air Quality Standards does not always depict a true pic-ture of the Air Quality Status of a study area. As an alternative an index that measures depreciation in Air Quality on more realistic terms has been proposed and
applied to the ambient air monitoring data collected from some areas of Korba Coalfields in India. Results have been discussed in detail to illustrate the applica-tion of the proposed index and utility in bringing out more realistic air quality assessment. 相似文献
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根据新疆12城市的环境空气质量自动监测系统SO2运行情况,对仪器在新疆特殊天气条件下的适用性进行分析,并针对环境空气自动监测系统SO2质量控制(QC)工作中仪器比对校验、异常值判断标准、仪器稳定性、数据准确性等方面进行阐述,旨在从技术、经验和方法及管理等方面为三级站空气质量自动监测系统规范运行及数据分析提供参考和帮助. 相似文献
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The water quality of the Vrgorska Matica River 总被引:1,自引:0,他引:1
Stambuk-Giljanović N 《Environmental monitoring and assessment》2003,83(3):229-253
The article presents the results of investigations carried out on the 42 km long Vrgorska Matica River, which flows through the 15 km long Vrgorsko polje (polje = field) which covers an areaof 3000 ha, and is at 24 m a.s.l., located in Southern Croatia.It covers the years 1997–2000 after this field had been reclaimed for agricultural use.The purpose of the investigations was to evaluate the influence of the Vrgorska Matica River which is part of the catchment areaof the Trebizat River, on the water quality in Modro Oko Lakeand Prud Spring, which are used for water supply and are locateddownstream of the Vrgorska Matica River on the right bank of theNeretva River.The water quality was evaluated by using the quality index basedon the following nine parameters: temperature, mineralization, corrosion coefficient, K = (Cl + SO4)/HCO3, dissolvedoxygen, BOD5, total N, protein N, total phosphorus and totalcoliform bacteria (100 mL)-1 (MPN coli (100 mL)-1) for which concentrations C
95 are calculated. After completingthe nine parameters the results of C
95 were recorded andtransferred to the score table to obtain the q-value. The q-value used is an attempt to quantify environmental factors which would otherwise be qualitative. For each parameter the q-value was multiplied by a weighting factor based upon the relative significance of the parameter. The nine resulting scores values were then added to arrive at an overall water quality index (S95).According to this index the water can be classified into four categories. The first category, according to the Croatian Water Classification Act (Official Bulletin No. 77,1998), includes ground and surface waters used for drinking or in the food industry either in its natural state or after disinfection, and surface water used for raising high-quality species of fish, ranging from 85–100 scores; the second category includes waterused in its natural state for swimming and recreation, sports orfor other species of fish and the treated water used for drinkingand other industrial purposes ranging between 70–85 scores. Thethird category includes water used in industry with no specific requests upon water quality and in agriculture ranging from 50–70 scores; the fourth category includes water used only afterbeing treated in areas with water shortage which is less than 50 scores.According to results obtained by investigations, the water of theVrgorska Matica River and Prud Spring falls into the second (II)category, while water from the Modro Oko Lake belongs to the first (I) category. This means that the Matica River water does not influence the water quality of the Modro Oko Lake. This lakewater quality is influenced by the Rastoka Matica River from theRastoko polje which is located upstream from the Vrgorska MaticaRiver. This has been proved by dyeing tests. 相似文献