Groundwater depth prediction in a shallow aquifer in north China by a quantile regression model

There is a close relationship between groundwater level in a shallow aquifer and the surface ecological environment; hence, it is important to accurately simulate and predict the groundwater level in eco-environmental construction projects. The multiple linear regression (MLR) model is one of the most useful methods to predict groundwater level (depth); however, the predicted values by this model only reflect the mean distribution of the observations and cannot effectively fit the extreme distribution data (outliers). The study reported here builds a prediction model of groundwater-depth dynamics in a shallow aquifer using the quantile regression (QR) method on the basis of the observed data of groundwater depth and related factors. The proposed approach was applied to five sites in Tianjin city, north China, and the groundwater depth was calculated in different quantiles, from which the optimal quantile was screened out according to the box plot method and compared to the values predicted by the MLR model. The results showed that the related factors in the five sites did not follow the standard normal distribution and that there were outliers in the precipitation and last-month (initial state) groundwater-depth factors because the basic assumptions of the MLR model could not be achieved, thereby causing errors. Nevertheless, these conditions had no effect on the QR model, as it could more effectively describe the distribution of original data and had a higher precision in fitting the outliers.     

Remote-sensing inversion model of surface water suspended sediment concentration based on in situ measured spectrum in Hangzhou Bay, China

Suspended sediment concentration (SSC) is an important parameter for monitoring coastal water quality. Suspended particles are also the main optically active substances for ocean color remote sensing. It is important to study the surface reflectance spectra features of coastal turbid water, as it can be the basis for establishing more accurate remote-sensing inversion models. In this study, Hangzhou Bay, China, was selected as the study area. Two in situ measurement and sampling stations in the estuary of the Qiantang River which flows into Hangzhou Bay were set up separately. Above-water spectrum observation method, which the NASA recommended, was adopted to measure the reflection spectrum of turbid waters. Surface water samples were simultaneously collected to obtain the corresponding SSC data. The results showed that the total suspended particle concentrations in the Hangzhou Bay were typically high, and the inorganic suspended particle concentrations were far greater than the phytoplankton concentrations, which averages 705?mg/L and 1.16?mg/m³. The SSC at two sampling stations both showed significant temporal variability, particularly appearing short-period rapid fluctuations accompanying the tidal cycle. The measured surface water reflectance spectra all showed typical curve characteristics of high turbid water, and as the SSC increased, the corresponding reflectivity of surface water also increased. The increments at different wavelengths were variational, with two reflectance peaks appearing at 650?C700-nm and near the 800-nm wavelength of spectral curves, respectively. The first derivative of spectral curves showed that the first reflectance peak location appeared to be a ??red shift?? phenomenon with the SSC increasing. The correlation coefficients between the SSC of surface water and the remote-sensing reflectance according to moderate resolution imaging spectra-radiometer (MODIS) channels?? central wavelength were different significantly, which were larger at MODIS long-wavelength channels (>650?nm) and smaller at MODIS short-wavelength channels (400?C550?nm). The value of determination coefficient R ² was 0.82 when the reflectance ratio of MODIS band 2 to band 1 was selected as the SSC sensitive bands combination and exponential regression analysis was employed. Therefore, the reflectance ratio of MODIS band 2 to band 1 can be adopted as the main band combination for establishing surface water SSC remote-sensing inversion model in the Hangzhou Bay.     

南秦岭东部新元古代埃达克质岩的发现及其地质意义

秦岭造山带是一条复合型大陆碰撞造山带,存在若干新元古代构造岩浆事件的遗迹,它们对深化认识南北秦岭汇聚-碰撞过程和Rodinia超大陆聚合具有重要意义。本文对南秦岭东部豆腐尖岩体英云闪长岩开展LA-ICP-MS锆石U-Pb年代学和全岩主微量元素地球化学研究。代表性样品的²⁰⁶Pb/²³⁸U加权平均年龄为860.7±6.0Ma,表明其形成时代为新元古代。岩石地球化学特征表现为高SiO₂(62.41%～68.89%)、高Al₂O₃(15.33%～17.33%),富Na₂O(4.23%～5.80%)和高Na₂O/K₂O比值(1.11～2.41),富Sr(>400×10^-6),低MgO(0.55%～2.08%),低Y(7.40×10^-6～18.20×10^-6)、Yb(0.63×10^-6～1.62×10^-6),...     

成矿定量预测与深部找矿

成矿预测是在不确定条件下制定最优决策的工作。成矿预测作为一种地质系统,与其他技术、经济系统存在重要区别。由于矿床类型的多样性,矿床成因的复杂性,控矿因素的隐蔽性和找矿信息的多解性,成矿预测结果具有不确定性并常常因人而异。探索成矿预测过程客观化、定量化和精确化一直是成矿预测学的前沿课题。文中以个旧锡矿为例展示致矿地质异常与矿体空间产出及分布的密切关系,强调以"求异"准则为指导的成矿定量预测的重要性。当今地质勘查工作面临深部找矿问题,论文从深部找矿的概念、类型、目标、效益等方面简要介绍了国外理论研究和找矿实践概况。强调深部找矿中要加强地壳深部结构的研究,要重视深部找矿的经济"回报率"和勘查项目的"转化率"的重要性。     

Identification of the Main Control Factors and Failure Modes for the Failure of Baiyuzui Landslide Control Project

Geotechnical and Geological Engineering - The failure of landslide control project presents a deformation that continues to develop along the crack system, and the continuous failure of mechanical...     

弥散度及其在地下水污染模型中的作用

弥散理论是污染质在含水层中运移模型的基本理论.但在实际应用中存在着不少问题和争议.本文对污染质在含水层中运移的弥散作用进行了分析探讨.并应用MOC水质模型对弥散参数的作用进行了分析,证明了在一般情况下,污染质在含水层中的运移主要受对流作用控制,弥散参数的变化对水质模型结果的影响相对较小.在特定的水文地质条件下,弥散作用对污染质的运移是重要的.     

西安灞河流域现代岩溶作用与CO_2吸收量

本文探讨了灞河流域岩溶特征、ＣＯ２估算方法和ＣＯ２吸收量。观测资料表明,灞河流 域河水中ｐＨ值在冬春季高,夏秋季低,而ＨＣＯ３含量通常与ｐＨ相反。河水和黄土地下水中 ｐＨ值、ＨＣＯ３等化学成分含量与北方南部石灰岩区岩溶水基本相同,表明该区现代岩溶作用 明显,黄土地层也在不断吸收ＣＯ２,并对全球碳循环有重要影响。雨水富含ＣＯ２,其中约有 ８２％的ＣＯ２被岩溶过程吸收,１８％左右的随河水流失。根据一个流域ＣＯ２输入量和输出量,可 以计算岩溶过程中 ＣＯ２吸收量。计算表明,灞河流域现代岩溶过程中每年吸收的 ＣＯ２约为５６３２．８ｔ。     

贵州六盘水地区水城矿区晚二叠世煤的煤质特征及其控制因素

本文中研究概括了六盘水地区水城矿区晚二叠世煤的煤岩学、煤化学和煤地球化学的研究结果,探讨了煤质的控制因素。研究结果表明水城矿区煤具有适合于炼焦用煤的煤岩煤质特征（中挥发分烟煤和高挥发分烟煤Ａ,适中的显微组分比例,４９．９％～８１．８％镜质组,１１．９％～３１．９％惰性组,０．４％～１６．９％壳质组,中－低的硫含量,０．３４％～１．５％）。水城煤的煤级主要受深成变质作用的影响。水城煤的岩石学特征主要受晚二叠世水城三角洲的控制。将水城矿区煤的微量元素含量与世界平均的微量元素进行比较,水城煤具有Ｓｅ、Ｚｒ、Ｃｒ、Ｃｏ、Ｕ和Ｔｈ稍高富集,Ｃｓ、Ａｓ和Ｂａ低富集的特点。煤中Ｂｒ和Ｃｌ具有亲有机性     

铋试剂Ⅱ沉淀分离富集、Ar-O_2气氛控制发射光谱测定地质样品中六种贵金属

报道了用铋试剂Ⅱ于ｐＨ４．０沉淀分离富集,混合掩蔽剂消除部分基体干扰元素,Ａｒ－Ｏ２气氛控制消除氰带,垂直电极交流电弧粉末发射光谱同时测定地质样品中六种贵金属的研究成果。该法精确度ＲＳＤ为３．１％～９．０％。Ａｕ、Ｐｔ、Ｐｄ、Ｒｈ、Ｉｒ、Ｒｕ的目视灵敏度分别为０．０２５、０．０２５、０．００５、０．００５、０．０３、０．０２μｇ,实际地质样品加标准回收率在９０％～１０８％之间。