Surface water chemistry and nitrate pollution in Shimabara,Nagasaki, Japan

Groundwater is a finite resource that is threatened by pollution all over the world. Shimabara City, Nagasaki, Japan, uses groundwater for its main water supply. During recent years, the city has experienced severe nitrate pollution in its groundwater. For better understanding of origin and impact of the pollution, chemical effects and surface–groundwater interactions need to be examined. For this purpose, we developed a methodology that builds on joint geochemical analyses and advanced statistical treatment. Water samples were collected at 42 sampling points in Shimabara including a part of Unzen City. Spatial distribution of water chemistry constituents was assessed by describing Stiff and Piper diagrams using major ions concentrations. The nitrate (NO₃?+?NO₂–N) concentration in 45% of water samples exceeded permissible Japanese drinking level of 10 mg L^??1. Most of the samples showed Ca–HCO₃ or Ca–(NO₃?+?SO₄) water types. Some samples were classified into characteristic water types such as Na–Cl, (Na?+?K)–HCO₃, (Na?+?K)–(SO₄?+?NO₃), and Ca–Cl. Thus, results indicated salt water intrusion from the sea and anthropogenic pollution. At the upstream of Nishi River, although water chemistry was characterized as Ca–HCO₃, ion concentrations were higher than those of other rivers. This is probably an effect of disinfection in livestock farming using slaked lime. Positive correlation between NO₃^? and SO₄^2?, Mg²⁺, Ca²⁺, Na⁺, K⁺, and Cl^? (r?=?0.32–0.64) is evidence that nitrate pollution sources are chemical fertilizers and livestock waste. Principal component analysis showed that chemistry of water samples can be explained by three main components (PCs). PC1 depicts general ion concentration. PC2 and PC3 share influence from chemical fertilizer and livestock waste. Cluster analyses grouped water samples into four main clusters. One of these is the general river chemistry mainly affected by PC1. The others reflect anthropogenic activities and are identified by the combination of the three PCs.     

Environmental quality evaluation of the Vacacaí River, Rio Grande do Sul, Brazil

The water quality of the Vacacaí River was assessed at different sites in the period between winter 2005 and autumn 2006. All samples were analyzed for 52 elements (Sc, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Th, Li, Be, Mg, Al, Ca, V, Cr, Mn, Fe, Ni, Co, Cu, Zn, Ga, As, Se, Rb, Sr, Ag, Cd, In, Cs, Ba, Tl, Pb, Bi, U, Na, K, Hg, B, Mo, Sn, Te, Ti), temperature, pH, ammonia, and alkalinity levels. Water from the Vacacaí River ranged from slightly acidic to alkaline. No difference was observed in the chemical composition at different sites of the Vacacaí River. Levels of Ba, Ca, Sr and Mg increase in the dry seasons and reach their highest concentrations in autumn; Be and U decrease in the dry season and reach their highest concentration in spring. Al, Fe, Cr, Ni, Th, U Mn, Ca and Mg are highly positively related, indicating a common origin. Se and Cu are probably from anthropogenic source, from the rice crops of the margins of the river. Waterborne Al and Fe levels were above the desirable level for drinking water at all sites during all seasons. These results demonstrate the need for constant monitoring of water parameters, which is crucial to ensure water quality for the population of this region.     

滹沱河冲洪积扇地下水硝酸盐的污染特征及污染源解析

为研究滹沱河冲洪积扇地区地下水硝酸盐污染机制,对滹沱河冲洪积扇地区地下水和地表水进行了采样监测,运用环境健康风险评价模型对研究区硝酸盐进行评价,采用水化学和多元统计方法研究了滹沱河冲洪积扇地区地下水硝酸盐污染问题。结果表明:研究区地表水NO-3污染较轻,NO-3均值为19.54 mg/L,所有水样均未超出我国地表水环境质量标准（45 mg/L）;但是,地下水已经受到了NO-3的严重污染,NO-3均值为75.84 mg/L,且有30.43%水样超出我国地下水质量标准（88. 6 mg/L）。研究区3个水文地质单元地下水硝酸盐的平均个人年健康风险分别为4.94×10-8、1.99×10-8和2.61×10-9,低于国际辐射防护委员会（ICRP）推荐的最大可接受风险水平（5.0×10-5/a）,因此,认为不会对人群构成严重危害。水文地质单元和地下水埋深对硝酸盐污染有显著影响,但是,土地利用类型对硝酸盐浓度的影响不显著。滹沱河冲洪积扇地区地下水硝酸盐的主要污染来源是生活污水和化肥。此外,强烈开采地下水也是该地区NO-3污染的诱因。     

土壤包气带强化反应层脱氮的控制因素与性能研究

包气带作为防止地下水硝酸盐污染的天然屏障,其反硝化效果通常受到碳源的限制。针对地下水硝酸盐污染防治技术现状,本文采用Ca(OH)₂处理的玉米芯作为反硝化的碳源材料,构建包气带强化反应层,用响应曲面法研究硝酸盐浓度、含水量和温度的交互作用对脱氮性能影响,并用硝态氮去除率、亚硝态氮累积、pH值变化以及溶解性有机碳(dissolved organic carbon, DOC)淋失通量综合评价脱氮性能,最后采用高通量测序揭示脱氮层中微生物变化。研究结果表明:温度、含水量以及温度和含水量交互作用对硝态氮去除率影响显著,其中温度是反硝化过程中最关键的因素;系统运行74天后,硝态氮去除率达到50%,亚硝态氮累积量(以N计)大多低于3 mg/L,pH值维持在7.0左右,DOC淋失通量(以C计)介于0.10.2 mg/(cm²·d);高通量测序发现,脱氮层中微生物的丰富度降低,而与反硝化和碳分解有关的微生物相对丰度提高,在碳源的刺激下微生物向有利于脱氮的方向演变。     

安徽省大气颗粒物污染特征分析

对2016年全年颗粒物监测浓度数据进行统计分析,得到了安徽省颗粒物污染的空间分布、浓度和粒径,以及污染传输特征.结果表明,淮河以北、沿江和江淮之间、长江以南和皖南山区城市颗粒物污染随地理位置不同表现出明显的区域化特征,污染程度由北向南减轻,污染过程明显表现出由北向南逐步扩散传输的规律,污染程度越重,污染深入南方的范围越...     

Spatial assessment of groundwater quality in the Jangseong region,South Korea

A total of 129 groundwater samples were collected in the Jangseong region of South Korea to characterize and evaluate groundwater quality and its suitability for irrigation and domestic uses. Samples were chemically analyzed for major ions, pH, electrical conductivity, and total dissolved solids following standard methods. The AquaChem 2014.2 model linked with PHREEQC was used for the statistical analysis and characterization of the hydrochemistry of the groundwater. The analysis showed that in all samples Ca–HCO₃ was the leading water type and that the abundance of major cations was in the order Ca > Na > Mg > K, and of anions in the order HCO₃ > Cl > SO₄ > F. According to the correlation analysis, Ca showed strong interdependence with HCO₃, suggesting that these parameters may have originated from common sources. Saturation index calculations indicated that all samples were undersaturated with respect to aragonite, calcite, dolomite, fluorite, gypsum, halite, and siderite, and oversaturated with respect to goethite and hematite. The irrigation suitability analysis revealed that groundwater in the Jangseong area can be used for irrigation without any restrictions based on EC, sodium adsorption ratio, percent sodium, residual sodium carbonate, Kelley ratio, permeability index, and the US Salinity Laboratory diagram analysis. The drinking water suitability analysis made for major parameters by comparison with the WHO guidelines indicates that the groundwater in the area is suitable for drinking except in some samples with high nitrate–N concentrations. The elevated nitrate concentrations in the groundwater are likely an indicator of agricultural pollution.     

Assessing groundwater vulnerability to nitrate pollution using statistical approaches: a case study of Sidi Bouzid shallow aquifer,Central Tunisia

The study region comprises the Sidi Bouzid shallow aquifer, which is located in the western part of Central Tunisia. It is mainly occupied by agricultural land with intensive use of chemical fertilizers especially nitrates. For this reason, nitrate measurement was performed in 38 water samples to evaluate and calibrate the obtained models. Several environmental parameters were analyzed using groundwater nitrate concentrations, and different statistical approaches were applied to assess and validate the groundwater vulnerability to nitrate pollution in the Sidi Bouzid shallow aquifer. Multiple linear regression (MLR), analyses of covariance (ANCOVA), and logistic regression (LR) were carried out for studying the nitrate effects on groundwater pollution. Statistical analyses were used to identify major environmental factors that control the groundwater nitrate concentration in this region. Correlation and statistical analyses were conducted to examine the relationship between the nitrate (dependent variable) and various environmental variables (independent variables). All methods show that “groundwater depth” and “land use” parameters are statistically significant at 95% level of confidence. Groundwater vulnerability map was obtained by overlaying these two thematic layers which were obtained in the GIS environment. It shows that the high vulnerability area coincides with the likelihood that nitrate concentration exceeds 24.5 mg/l in groundwater. The relationship between the groundwater vulnerability classes and the nitrate concentrations provides satisfactory results; it showed an Eta-squared correlation coefficient of 64%. So, the groundwater vulnerability map can be used as a synthetic document for realistic management of groundwater quality.     

亚高山表层岩溶泉域土壤溶蚀速率季节变化及碳汇量估算——以重庆金佛山水房泉流域为例

利用标准溶蚀试片法测定了重庆金佛山水房泉流域林地、草地和灌丛三种土地利用类型不同深度年溶蚀速率。结果表明,不同土地利用类型、不同季节、不同土壤深度的溶蚀速率具有很大的差异。通过对各土地利用类型下不同季节不同深度土壤有机质、土壤CO2浓度和土壤pH分析发现:土壤有机质和pH相互耦合共同对溶蚀速率产生影响,有机质含量越高,则pH值越低,溶蚀速率就越大;三种土地利用方式下土壤CO2浓度与溶蚀速率具有一定的相关性,夏秋季土壤CO2浓度较冬春季高,相对应地,其土下溶蚀速率也比冬春季大。最后利用试片溶蚀数据对泉域内年碳汇量进行了估算,结果约为:25.595t/a。      

内蒙古乌海粉尘浓度时空分布及影响因素探析

于2018年1月与7月采用流动监测法,对内蒙古乌海粉尘颗粒物进行采集,结合监测站数据,研究乌海不同粒径粉尘浓度时空分布规律及影响因素。结果表明:乌海市冬春季粉尘污染远远高于夏秋季,春季污染最严重,夏季污染相对较轻。PM_2.5污染最严重月份为3月,PM₁₀污染最严重月份为4月。一天中粉尘浓度峰值出现在10:00—12:00,谷值出现在16:00—18:00。空间上东部粉尘浓度高值区以条带状分布,中南部和西部以点源放射状向周围扩散。不同土地利用类型内部粉尘浓度特征均不同。工矿用地和城镇内部浓度高于有林地和未利用地,耕地和水体内部浓度最低;工矿用地是乌海市粗颗粒粉尘的主要来源,城镇是乌海夏季细颗粒粉尘的主要来源,水体、耕地和有林地可明显降低空气中颗粒物浓度。总悬浮颗粒物(total suspended particulate,TSP)和不同粒径颗粒物(particulate matter,PM),包括PM₁₀、PM_2.5、PM₁等粉尘浓度与风速、湿度呈正相关,与温度、海拔呈负相关,其中气压是影响TSP浓度的最主要因素,湿度是影响PM_1-10的最主要因素。不同粒径粉尘浓度受到归一化指数、气象、地形等多因素综合制约,单一条件对大气粉尘影响有限。     

1961—2010年全球变暖背景下中国空气湿度长期变化特征

空气湿度是重要的气象要素，与气温和降水密切相关，其长期变化特征是气候系统变化的重要表征。2003年前后全国自动站与人工站的更替使得相对湿度资料存在不能满足均一性的要求，亟需加强空气湿度变化特征方面研究。利用1961—2010年中国824个气象站订正后均一性较好的逐日气温、降水量和相对湿度数据，剔除缺测多的站点，采用线性回归分析、Mann-Kendall趋势检验和偏相关分析方法，综合分析中国水汽压和相对湿度的长期变化特征及其与气温和降水量的相关特征。结果表明：①全国各地年均水汽压呈增大趋势的站点占全部站点的90.3%；除春夏两季的黄土高原至云贵高原一带和长江下游地区、秋季的华南地区有所减小外，各季节全国水汽压普遍呈增大趋势。②全国年均相对湿度呈减小趋势的站点占64.1%；除河北北部至辽宁北部、陕西南部至黄淮地区、江南北部、青藏高原和四川西部地区以及西北大部呈增大趋势外，其余地区普遍减小；季节差异明显，春、夏和秋季，中东部大部分地区相对湿度以减小趋势为主；冬季除东北地区和云南减小外，其余大部分地区相对湿度增大。③全国各地水汽压与气温、降水量普遍以正相关为主，与气温的相关性强于与降水量的相关性；相对湿度与气温普遍呈显著的负相关，与降水量普遍以正相关为主。     

1961-2010年全球变暖背景下中国空气湿度长期变化特征

空气湿度是重要的气象要素，与气温和降水密切相关，其长期变化特征是气候系统变化的重要表征。2003年前后全国自动站与人工站的更替使得相对湿度资料存在不能满足均一性的要求，亟需加强空气湿度变化特征方面研究。利用1961—2010年中国824个气象站订正后均一性较好的逐日气温、降水量和相对湿度数据，剔除缺测多的站点，采用线性回归分析、Mann-Kendall趋势检验和偏相关分析方法，综合分析中国水汽压和相对湿度的长期变化特征及其与气温和降水量的相关特征。结果表明:①全国各地年均水汽压呈增大趋势的站点占全部站点的90.3%；除春夏两季的黄土高原至云贵高原一带和长江下游地区、秋季的华南地区有所减小外，各季节全国水汽压普遍呈增大趋势。②全国年均相对湿度呈减小趋势的站点占64.1%；除河北北部至辽宁北部、陕西南部至黄淮地区、江南北部、青藏高原和四川西部地区以及西北大部呈增大趋势外，其余地区普遍减小；季节差异明显，春、夏和秋季，中东部大部分地区相对湿度以减小趋势为主；冬季除东北地区和云南减小外，其余大部分地区相对湿度增大。③全国各地水汽压与气温、降水量普遍以正相关为主，与气温的相关性强于与降水量的相关性；相对湿度与气温普遍呈显著的负相关，与降水量普遍以正相关为主。     

煤矿酸性“老窑水”低Ca/Mg成因机制

山西省阳泉市山底河煤矿“老窑水”循环系统多年水质监测数据计算结果显示,煤矿酸性“老窑水”的Ca/Mg值普遍偏低,且存在Ca/Mg值随酸化程度的增强（SO₄2?含量增加或pH减小）而减小的规律。针对这一问题,结合研究区的地球化学物源条件,通过室内试验以及野外监测水样的石膏、方解石、白云石矿物饱和指数与pH变化关系,分析煤矿酸性“老窑水”低Ca/Mg值的成因机制。研究表明:区内石炭系－二叠系的煤系地层中碳酸盐岩夹层、分散状态分布的菱镁矿、黄铁矿是“老窑水”中Ca2+、Mg2+、SO₄2?的物质来源;在黄铁矿氧化水解形成的以硫酸根为主导的酸性溶液中（pH为2.0~4.5）,代表硫酸对石膏、方解石、白云石可溶解性的饱和指数排序为石膏>方解石>白云石,受石膏在高浓度硫酸活性降低并发生沉淀、方解石溶解受Ca2+同离子效应抑制和饱和状态的平衡调节的综合影响,使Ca2+相对含量减少,由于MgSO₄溶度积大于CaSO₄,故Mg2+含量未受上述约束（或较低）,脱白云岩化反应可因Ca2+含量随石膏沉淀而继续进行,加之区内有菱镁矿的溶解,使得Mg2+相对含量增加,最终出现了镁矿酸性“老窑水” Ca/Mg值低的结果。Ca/Mg值可作为煤矿酸性“老窑水”的污染特征指标,应用于环境影响评价。      

泉水流量、电导率、pH值动态变化研究

岩溶水是指赋存于岩溶孔隙中的地下水,是我国南方生产生活主要用水来源.随着社会对水资源需求的逐步扩大,岩溶水资源的开发利用越发重要.通过定期监测岳麓山泉水流量、电导率、pH值,结合岳麓山岩土层性质和长沙市降雨量,采用统计分析和Spearman秩相关系数法对泉水流量变化和泉水水质定性评价进行研究.研究结果表明,大气降雨对岩溶水进行补给从而使泉水流量增大,泉水流量的改变除与降雨量有关外,还受土壤入渗率和降雨时长的影响.采用Spearman秩相关系数法可定量计算电导率与时间的相关性,间接判断周围环境对泉水水质影响的难易程度,有利于识别电导率代表性位置泉眼,更好地监测和评价岩溶水.土壤酸沉降污染严重或酸雨频繁地区易导致岩溶水pH值呈酸性.对泉水流量和水质的研究有利于科学开发利用岩溶水资源.     

陕西秦岭翠华山泉水化学成分研究

为了研究泉水化学成分特点和在一年内的变化,文章利用pH-电导率自动记录仪对陕西秦岭翠华山地区两处泉水化学成分进行了每月2次的观测,并进行了水化学分析。翠华山泉水中HCO-3含量在76.27～152.55mg/L之间,Ca_²⁺含量在14.48～26.92mg/L之间,Mg²⁺含量在4.46～4.89mg/L之间,K⁺含量在0.60～2.75mg/L之间,Na⁺含量在0.93～1.09mg/L之间,这些成分的特点是含量低。泉水pH值在6.98～5.69之间,夏秋季低于该区雨水的pH值,具酸性特征,这是该区地层主要由片麻岩构成决定的。从1月到11月,水秋池村泉水pH值和电导率呈现由大到小再到大的变化规律,引起这种变化的主要原因是夏秋季土壤CO₂含量比冬春季高,泉水在夏秋季流动过程中吸收了较多的CO₂。翠华湖西泉水pH值和Ca²⁺,Mg²⁺,K⁺,Na⁺离子含量比水秋池泉水高,从1月到11月Ca²⁺,Mg²⁺,K⁺,Na⁺离子含量变化与水秋池泉水变化相反,这应当是两个泉水的来源不同或在流动过程中遇到了酸碱性不同的土层和地层造成的。翠华山地区泉水化学成分变化是易于观测到的规律性很强的变化。     

Association of calcium with colloidal particles and speciation of calcium in the Kalix and Amazon rivers

A considerable amount of colloidally bound Ca has been detected in water samples from Amazonian rivers and the Kalix River, a sub-arctic boreal river. Fractionation experiments using several analytical techniques and processing tools were conducted in order to elucidate the matter. Results show that on average 84% of the total Ca concentration is present as free Ca. Particulate, colloidal and complexed Ca constitute the remaining 16%, of which the colloidal fraction is significant. Ultrafiltration experiments show that the colloidal fraction in the sampled Amazonian rivers and the Kalix River range between 1% and 25%.In both the Amazonian and the Kalix rivers the technique of cross-flow ultrafiltration was used to isolate particles and colloids. The difference in concentration measured with ICP-AES and a Ca ion-selective electrode in identical samples was used to define the free Ca concentration and thus indirectly the magnitude of the particulate, colloidal and complexed fractions. Results from the Kalix and Amazonian rivers are in excellent agreement. Furthermore, the results show that the colloidal concentrations of Ca can be greatly overestimated (up to 227%) when conventional analysis and calculation of ultrafiltration data is used due to retention of free Ca ions during the ultrafiltration process. Calculation methods for colloidal matter are presented in this work, using complementary data from ISE analysis.In the Kalix River temporal changes in the fractionation of Ca were studied before, during and after a spring-flood event. Changes in the size distribution of colloidally associated Ca was studied using FlFFF (Flow Field-Flow Fractionation) coupled on-line to a HR ICP-MS. The FlFFF-HR ICP-MS fractograms clearly show the colloidal component of Ca, supporting the ultrafiltration findings. During winter conditions the size distribution of colloidally associated Ca has a concentration maximum at ∼5 to 10 nm in diameter, shifting to smaller sizes (<5 nm) during and after the spring flood. This shift in size distribution follows a change in the river during this period from ironoxyhydroxy colloids being the most important colloidal carrier phase to humic substances during and after the spring flood.WHAM and NICA-Donnan models were used to calculate the amount of colloidally bound Ca. The results similar for both models, show that on average 16% of the Ca may be associated to a colloidal phase, which is in broad agreement with the measurements.     

广东韶关市大气降尘及尘中金属元素分布特征研究

为了解城市金属含量和大气降尘的时空分布,根据功能分区的原则,把广东韶关市分为7个功能区,按《空气和废气监测分析方法》中灰尘自然沉降量—重量法之湿法采样,用称重法测定,用原子吸收光谱法测定Cu、Pb、Zn、Cd、K、Ca元素,用标准曲线法计算其浓度。结果发现降尘的季节性分布是:秋季>冬季>春季>夏季;降尘空间分布是:工业区>居民区>商业区>交通区>混合区>近郊区,全市金属元素含量高低依次为Zn>Ca>Pb>Cu>K>Cd,其中Pb、Zn、Cd在工业区含量最高,Ca在居民区含量最高。结论是工业尘和建筑尘是本市最大污染源,Pb、Zn、Cd主要来源于工业尘,Ca主要来源于建筑尘。与国内外其他城市相比,除西安外,本市降尘中金属含量比其他城市均低。     

雪宝顶流域黄龙“8·8”地震后短期内主要水环境变化特征

富含Ca2+ 和HCO3-的水体是黄龙钙华地貌得以持续沉积的首要条件。为明确2017年九寨沟“8·8”地震是否对黄龙脆弱钙华体产生影响并进而导致水环境的改变,于2017年10月和2018年8月对黄龙3个主要监测点进行了水样采集和水质参数检测。通过主成分分析震前的多次水质检测结果,得到影响黄龙水化学的主要参数,并与震后的水化学参数进行对比分析,发现:2016年（震前）水质参数显示pH、总磷、总氮对黄龙水质起主要贡献作用,地震后水体的pH、Ca2+ 和HCO3-含量上升,而总磷含量则下降较多,表明地震对黄龙钙华体内部结构产生了影响,导致上升泉（转花泉）中的Ca2+ 和HCO3- 含量增加,并影响了pH,而震后水体中的总磷含量减少,这可能与游客数量大幅度减少有关;“8·8”地震对黄龙钙华沉积区水环境造成了影响,并有利于钙华沉积。      

松嫩平原吕大火房垂直剖面中硒赋存形态及影响因素分析

吕大火房剖面位于松嫩平原东部,是研究松嫩平原富硒土壤带中硒来源的典型自然剖面.在白垩系嫩江组（K₂n）两条垂直剖面上共采集了33件样品,分析了硒及其赋存的7种形态、总有机碳（TOC）、pH等理化指标.结果表明,所采集的样品硒含量在0.01×10^-6～3.05×10^-6之间,平均含量0.56×10^-6,不同层位样品硒含量差异较大;剖面样品中硒以残渣态硒为主要赋存形式,残渣态硒平均含量0.092×10^-6,所占比例为51.98%.剖面样品硒含量主要受成土母质（油页岩）影响,相关分析结果表明,TOC和pH对剖面硒含量分布有一定的影响,TOC与强有机结合态硒、腐殖酸结合态硒、离子交换态硒、水溶态硒呈正相关关系,pH与各形态硒均呈负相关关系.