The Utilization and Modeling of Photo-Fenton Process as a Single Unit in Textile Wastewater Treatment

Studies on the direct application of the photo-Fenton process (PFOP) to disinfect and decontaminate textile wastewater are rare. The output of the artificial neural network (ANN) models applied to the wastewater of a textile factory producing woven fabrics, which is used to assess the efficiency of the PFOP process, are investigated and compared with each other in this study. The highest PFOP efficiency is obtained at a pH of 3. Chemical oxygen demand (COD), suspended solids (SS) and color removal rates are 94%, 90%, and 96%, respectively. The data are modeled with ANNs and nonlinear external input autoregressive ANNs (NARX-ANN) using the MATLAB R2020a software program. Both Levenberg–Marquardt (trainlm) and scaled conjugate gradient (trainscg) algorithms are employed in the ANN and NARX-ANN models, whereas hyperbolic tangent sigmoid (Tansig) and logistic sigmoid (Logsig) functions are superimposed on the hidden layer in the ANN model, and Tansig functions are superimposed on the NARX-ANN model. It is determined that the developed ANN models are more effective in estimating the PFOP efficiency. The mean squared error is 0.000 953, and the coefficient of determination (R²) is 0.96 661.     

High molecular weight (C_(35)~+) n-alkanes of high-waxy condensate and its source kitchen orientation in the Qianmiqiao burial-hill zone, Bohai Gulf Basin

Copyright by Science in China Press 2004 High-waxy condensate is a kind of special hy-drocarbon resources, i.e., the high molecular weight (HMW) alkanes, which usually appear in a solid wax fraction under normal temperature and pressure, but are dissolved by hydrocarbon gas as a high-waxy condensate of single gaseous phase under subsurface high temperature and pressure. Nevertheless, once produced in an oil-gas well, the subsurface condensate flows into the well-bottom, and then immediately …     

An Improved Gas Chromatographic Method for the Determination of C6–C12 Petroleum Hydrocarbons in Soil Water

In this work, investigations dealing with the determination of hydrocarbons in contaminated soil water are presented. The hydrocarbons under investigation range from low to high volatility compounds. A GC‐FID method was developed that due to its efficiency, routine suitability, relative rapidity, and low cost is suitable for the analysis of complex chemical mixtures of highly volatile hydrocarbons (with boiling points between 69 and 190°C). The standard used was a gasoline mixture with boiling points ranging from 100 to 190°C. For this standard, no supplementary preparation is needed and it is suitable for the whole range of hydrocarbons under investigation. The determination of the hydrocarbon content of the samples was performed applying univariate and multivariate statistical analysis to the experimental data. In the characterization of a contamination with highly volatile hydrocarbons of soil water originating from different depth layers from the chemistry location Leuna (Sachsen‐Anhalt, Germany), the advantages of a multivariate method are demonstrated in exemplary manner.     

沉积盆地、结晶基底和油、气成因理念与第二深度空间勘探和开发

在石油、天然气的勘探和开发研究中,涉及到深部空间的介质、结构和属性,在沉积建造上涉及到陆相沉积、海相沉积和火山岩相,在油、气成因理论上涉及到有机成因和无机成因,在机制上涉及到深部流体的分异、调整、运移和动力作用.这些本质性问题的研究和探讨是人们十分关注的科学领域.基于油、气生、储和形成的理论、应用和成效的研究提出,有几个基础性的理念问题必须重新认识,特别是沉积建造与古老变质岩结晶基底;双相（海相和陆相）沉积建造与盆地的内涵和双基（有机和无机）混合油、气成因理念.清晰地厘定这些认识不仅有益于对油、气形成、聚集和勘探及开发给出一个更为科学的深部空间,即第二深度空间（5000~10000 m）的油、气勘探,而更为重要的是基于对这些理念的重新认识和深化研究可构建新的思路或理论,且在新的理念导向下,强化油、气深部勘探,以期能在理论研究和实践应用中取得新的成效,发现大型与超大型油、气田.     

InSAR-DEM analyses integrated with geologic field methods for the study of long-term seismogenic fault behavior: Applications in the axial zone of the central Apennines (Italy)

The integration of terrain computer modeling with field methods may provide a powerful mechanism for understanding active faults geometry, kinematics and long-term fault behavior. Radar interferometry was used on ERS tandem images to create a geocoded DEM (InSAR-DEM) with a nominal 20-m spatial-resolution of the central Apennines axial zone, a seismically active area characterized by historical destructive earthquakes with M 7. The potential was tested of InSAR-DEM application to the Fucino and Sulmona basin boundary faults, which have well-defined seismological, paleoseismological and/or geological evidence for their having seismogenic sources. In particular, slope maps extracted from the InSAR-DEM were used for fault scarps detection, whether on carbonate bedrock (fault scarp type 2) or affecting continental deposits within the basin (fault scarp type 1), and compared with the available geological and new field data. In order to assess the DEM accuracy and to evaluate morphometric parameters related to the long-term slip-rates of the faults, a set of topographic profiles was extracted from the InSAR-DEM and compared with analogous profiles derived from the available topographic map (i.e., 1/25,000, with 25 m contour interval). In particular, the use of InSAR-DEM analyses showed its better results, with respect to the standard topography, for urban/agricultural gently sloped areas where fault scarps affected unconsolidated and particularly soft sediments (e.g., Fucino basin fault systems), while in severely sloped carbonate ridge and forested areas low coherences and layover effects made InSAR-DEM application problematic. A maximum value of 1.1 ± 0.2 mm yr^–1 slip-rate was obtained for the Fucino boundary fault. Finally, the recognized en-échelon pattern of the Sulmona basin boundary fault, provided a segmentation model for this structure corroborated by geological-structural field data.     

第二深度空间(5000~10000 m)油、气形成与聚集的深层物理与动力学响应

在当今全球各国对油、气能源的需求和我国在工业化进程中油气能源十分紧缺的前提下,共享世界油、气能源的同时,必须立足于本土,迅速建立起安全、稳定,且可保证持续供给的油、气能源战略后备基地.油、气田勘探和开采中,尚存在着大于或远大于通常所规范的油、气生成稳定温度和深度限定,而向深部勘察油、气的理念又受到传统油、气成因理论的严峻挑战.为此,近些年来,通过对沉积建造、结晶基底,深部油气生成的物理（主指温度、压力）条件、物源和聚集储存空间的研究,提出：①沉积盆地中存在双相（陆相+海相）沉积建造,而基底则分为中、新生代沉积基底和古老的变质岩结晶基底,即双层基底;②地壳深部介质的物理－化学属性和变质岩及存储空间为油、气的生成和聚集提供了物质基础;③厘定了在有机成因主导下,油、气混合成因（有机+无机）的新理念;④第二深度空间（5000~10000 m）的油、气探查和开发将必是未来深部发现大型和超大型油、气田和深化研究的必然轨迹.