Laboratory Studies of Air Stripping of VOC-Contaminated Soils

ABSTRACT: Bench-scale laboratory experiments were conducted to evaluate the effectiveness of air stripping for in situ remediation of benzene-contaminated soils. Several parametric studies were performed to evaluate the effect of soil grain size, air injection flow rate, and air inlet temperature on the benzene recovery efficiency. An increase in soil grain size produced a significant increase in benzene recovery efficiency especially during the early stages of air injection. After 2 h of treatment, an increase in soil grain size from D 50 = 0.31 mm to D 50 = 1.20 mm resulted in an increase in benzene recovery efficiency from 49 to 65%. When the air-flow rate was increased from 5 l/min to 10 l/min, the benzene recovery efficiency increased from 56 to 70% after 4 h of venting operation. Maximum recovery of benzene was reached after approximately 37 h of soil venting at a flow rate of 5 l/min and after approximately 24 h at a flow rate of 10 l/min. Preheating the air to 45°C at the inlet resulted in an increase in recovery efficiency from 70 to 90% after 5 h of air stripping

Pervasive Systems Architecture and the Main Related Technologies

After introducing the main architectural issues concerning Pervasive Systems, this chapter deals with the essential technological aspects involved in their implementation and deployment. Being it focused on Data Management, we shall introduce the main problems and solutions related to Real-Time Data and the usage of Main-memory Database Management Systems. We will quickly review also some typical advanced data management topics that are useful prerequisites for the subsequent chapters: aspects of Big Data management, Linked Open Data, generalities of information integration including multimedia information management, issues related to the mobility of both users and information sources (e. g.: object tracking, dynamic environmental changes, etc.), the usage of social networks (Facebook, Twitter and others) as information sources and, last but not least, aspects related to the dependability of the system mainly focusing on security and privacy. The material in this chapter will be introductory and will make extensive reference to the existing literature on the different topic

Data Management in Pervasive Systems

This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example