土壤中氡浓度检测及其影响因素

综合相关文献研究,通过工程实例介绍土壤中氡气浓度的检测方法,对检测结果进行统计学分析,根据分析结果探讨不同土壤中氡浓度差异及其影响因素。结果显示:土壤孔隙度是影响土壤中氡气浓度的关键因素。不同类型的表层土壤,孔隙度不同,所含氡气浓度也不同。当表层土壤为房渣土、填土时,土质夯实,孔隙率低,氡浓度含量较低;表层土壤为粉土、粉质粘土时,土质较均匀,土层较疏松,孔隙度略大,土壤氡浓度大于前者;表层土壤为粉砂、细砂时,土层更为疏松,土壤中孔隙度再次增大,氡在土壤中有大量的存储空间,所含的氡浓度最大。因此,土壤的孔隙度大小影响氡从地下向地表渗透析出的难易程度,孔隙度越大氡越容易渗透其中,浓度就越高。     

北京石花洞氡浓度的研究

通过对石花洞为各层氡浓度的测定，发现石花洞的氡浓度比广西岩溶洞穴的氡浓度要高，只是 与其周围的银狐洞、云水洞和国外洞穴相比要低。并根据国际放射防护委员会１９９０年建议书的规定，制定了石花洞内工作人员工作时间上限。     

俄罗斯一些地区的氡浓度测量结果

在居民所受到的天然辐射作用的总剂量中，氡及其子体的吸入占有主要部分。在进行综合生态测量时，在俄罗斯的不同地区进行了氡及其子体的测量；这些地区是：圣彼得堡地区、俄中部地区和阿尔泰地区。使用了以径迹蚀刻和活性炭探测器为基础的剂量计，对环境氡浓度进行了测量；这是两种适用的低成本方法。以０．５的平衡系数和推荐的０．０６１ｍＳｖ／（Ｂｑ／ｍ＾３）有效测量当量系数计算了氡子体活度和有效剂量当量。在２１个村镇对     

广州市南沙区土壤中氡浓度水平调查研究

通过对广州市南沙区主要花岗岩分布区开展土壤中氡浓度调查(网格500m×250m), 发现了多处土壤氡异常区,并对土壤中氡的分布规律进行了讨论。区内土壤中氡浓度的变化范围为0.62~238.61kBq·m-3,本底值为7.957kBq·m-3,异常点最高值是调查区土壤中氡浓度本底值的30倍。     

广东中山地区土壤氡浓度填图研究

为了研究区域土壤氡填图的方法,利用RAD7电子测氡仪和RADON-JOK土壤气体渗透率仪在广东省中山市进行了面积为1 800 km2的测量工作,有效测点数为67个。中山市的平均土壤氡浓度为(100.41±154.64)kBq/m3;最大值和最小值分别为0.74 kBq/m3和1 199.24 kBq/m3。土壤气体渗透率测量结果表明,在风化花岗岩地区,高渗透率和中渗透率占优势;而第四纪沉积物地区大部分土壤气体渗透率较低。基于此,结合研究区土壤氡浓度和土壤气体渗透率,对研究区土壤氡风险进行了分级评价。为土壤氡风险分级的方法研究提供了有参考价值的研究实例。     

北京平原区土壤氡地球化学特征分析

对北京平原区北西向和北东向两条氡浓度剖面进行了测量,发现北部地区氡背景值要大于南部,东向西方向氡浓度变化起伏频繁。分析其原因主要是受到土壤母质、地层以及断裂的影响,发现断裂是影响北京平原区氡浓度高值的主要因素。     

一种区域性土壤氡危害的评价方法

在珠海地区测量土壤氡浓度和对应的表层土壤样品中的铀含量,用线性拟合的方法分析了氡与铀的关系.结果表明,土壤氡浓度和铀含量呈正相关关系,氡浓度大于20000Bq/m3的概率和铀含量有较好的线性关系.土壤氡浓度受多个因素的影响,测定值不稳定,故以其超标概率来表征更为科学.根据关系模型和风险分级标准,就可以快速进行区域土壤氡的危害评价.     

北京平原区隐伏断裂与氡浓度响应关系

北京地区隐伏断裂发育,NW及NE向断裂相互交汇,成为未来可能发生地震的构造。为了研究活动断裂与土壤氡浓度的响应关系,本次对北京平原区NW和NE向2条剖面进行了氡浓度测量。通过测试分析,基本查明了隐伏构造与土壤氡浓度的对应关系以及影响土壤氡浓度的相关地质因素。研究表明,活动断裂存在的区域氡浓度明显高于周边区域,且在构造复杂与活动性强的断裂区域氡浓度值变化更为明显;新生界厚度对氡的散逸强度存在一定的制约,北京地区新生界厚度与氡浓度水平成正相关;不同成土母质核素比活度不同,对区域氡浓度背景值亦存在影响。本次研究成果确定了隐伏断裂与土壤氡浓度的对应关系,以及新生界厚度和不同成土母质土壤对土壤氡浓度的影响,为今后在平原区开展隐伏断裂调查及氡浓度研究工作有重要借鉴和指导意义。     

Determining the spatial scale of variation in soil radon concentration

Increasing concern about possible links between emissions of radon and certain types of malignant disease has led to local and regional surveys to measure radon concentrations in the soil and in dwellings. The spatial scale at which radon varies is largely unknown, and so efficient sampling schemes and methods of mapping cannot be selected. To determine the spatial scale of radon variation in the English Midlands we measured radon in the soil using solid-state nuclear track detection in three areas of different geological complexity. In two of them we used an unbalanced multistage sampling scheme with seven stages of nesting: the Hereford survey covered distances from 10 m to 7.5 km, and the Buxton survey distances from 1 m to 3.75 km. The results from the nested surveys suggested that geology exerts a strong control on the variation. Finally radon was measured every 20 m along a 2-km long transect which crossed several lithologies close to Nottingham. The soil radon values changed in an erratic way along the transect. The sample variogram of radon has a substantial nugget variance, suggesting that much of the variation occurred for distances less than the sampling interval. The structure at the longer scale seems to be controlled by the underlying geology. These results have implications for designing further surveys and for selecting a method of mapping. Stratification based on lithology might be the only feasible solution to sampling, estimating and mapping radon concentrations over large areas. Where the locally erratic component of variation is large, estimation by kriging, for example, would confer little additional benefit compared with that by classification.     

煤层采动裂隙与氡气浓度相关性研究

煤层的开采极易导致采动裂隙直接连通地表,引起煤层自燃、地下水流失等灾害现象.掌握煤层上表岩层中裂隙发育特征,是解决上述问题的基础.将氡测量技术引入到煤炭采动裂隙发育研究中,通过实验模型模拟,分析得出了沙基型煤层采动裂隙分布与氡气浓度之间的相关规律.     

土壤氡浓度日变化影响因素研究

地表壤氡可以反映地下深部的水文、地质、矿产、热源等信息,但土壤氡浓度有年变和日变的特点。为了研究土壤氡浓度日变化规律及其影响因素,采用α能谱测氡仪对土壤氡进行连续测量。结果表明:土壤氡浓度呈单峰型日变化特征,最大值出现在19:00~22:00,最小值出现在11:00~14:00,土壤温度是影响土壤氡浓度的关键因子,土壤氡浓度与土壤温度呈正相关。降雨对土壤氡浓度有显著的影响,降雨后土壤氡浓度出现双峰型日变化特征,其变化与土壤湿度和空气温度等气象因素有关。     

Soil-to-dwelling radon isotope ratio in the Baikal region

Relations between indoor and soil gas radon were experimentally studied in villages of the Baikal region. On the basis of the obtained data, the soil-to-indoor radon ratio was calculated, which can be used for prediction of radon pollution in buildings of the same kind.     

土壤氡测量技术在新疆塔什库尔干县地热资源勘查中的应用

土壤氡测量技术是地热地质勘查的一种有效方法,目的是确定隐伏断层和地热流体富集部位。本次笔者在研究区进行了点状网度控制和剖面线状追索两种方法的土壤氡测量工作,野外共采集1904组数据。根据松散堆积地层物质来源的不同,对数据采用了分区和分段处理方法,发现区内不同地层土壤氡值背景有很大差异:变质岩碎屑堆积背景值为392.1 Bq/m3,花岗岩碎屑堆积为1930.2 Bq/m3,正长岩和花岗岩混杂堆积为1571.1 Bq/m3。统计了数据的离散程度,确定了异常下限判断标准,在此基础上分析了区内土壤氡分布特征。研究表明:土壤氡高值分布对隐伏断裂位置和地热异常具有较好的指示意义。     

土壤氡测量在温家梁地区砂岩型铀矿勘查中的应用

通过处理温家梁地区土壤氡放射性活度浓度测量数据,划分出土壤氡放射性活度浓度异常范围,在测区内重点成矿预测区圈定了2条EW向土壤氡放射性活度浓度异常带：边家渠—徐家梁—先锋3队—温家湾—皮匠壕和农胜4队—色连3队异常带。证明区域土壤氡放射性活度浓度测量可实现快速评价北方中新生代盆地寻找砂岩型铀矿的目的。     

土壤氡测量在马家滩——新上海庙地区砂岩型铀矿勘查中的应用

在鄂尔多斯盆地马家滩-新上海庙地区进行了土壤氡浓度测量的网度试验研究,其结果显示在区域土壤氡测量中,测线线距采用2～3km,同时提出了测区北部苏家井-东湾-鸳鸯湖一带、测量点距为200-400m,可对盆地进行快速评价,中南部石槽村-张家庙子-马家滩一带、中西部碎石井（满闸坑-猫头梁）一带可作为重点成矿区进一步开展研究工作,为该盆地成矿区预测和砂岩型铀矿找矿提供依据。     

Correlation between geology and radon levels in groundwater, soil and indoor air in Bhilangana Valley, Garhwal Himalaya, India

 Radon concentrations were measured in soil, air and groundwater in Bhilangana Valley, Garhwal Himalaya, India by using an LR-115 plastic track detector and radon emanometer. Radon concentrations were found to vary from 1 KBq/m³ to 57 KBq/m³ in soil , 5 Bq/l to 887 Bq/l in water and 95 Bq/m³ to 208 Bq/m³ in air. The recorded values are quite high due to associated uranium mineralization in the area. Radon concentration was also found to depend on the tectonic structure and geology of the area. Received: 22 July 1996 · Accepted: 8 January 1997     

Dependence of radon concentration in natural gas on the geological and physical parameters of the gas reservoir

Pressure of natural gas in its rock reservoir determines the final radon concentration in this gas after its decompression to normal conditions. In this investigation, radon contents of 62 natural gas samples were measured and a simple physical model of the gas reservoir was applied. The model takes into account an additional dependence of radon concentration on the natural gas pressure and on the porosity of the rock reservoir. The influence of the gas pressure on the value of the radon emanating power is discussed. The mean ²²⁶ Ra content in the source rock needed for generation of ²²² Rn concentrations observed in gas is also calculated. The calculations are made with the help of regression analysis.