Magnetische karakterisering van bodems nabij spoorwegenRoeland Sterkens
Summary:
Railway traffic is responsible for the emissions of metal particles, bij combustion of fossil fuels and friction between wheel parts, railtracks and catenary. These particles are released in the atmosfeer and precipitate in the proximity of railways. The purpose of this masterthesis was to determine the influence of the rail on the magnetic properties of the nearby soil. Further, the effect of distance and effect of wind direction was determined on the spot by measuring the magnetic susceptibility of the soil and the distance effect on the SIRM values was determined in the lab.
Also, the linear relationship was determined between the SIRM and magnetic susceptibility in order to determine the magnetic signal in soils in a faster and easier way. In a first phase, three field research sites were selected in Achterlee, Essen and Lier (province of Antwerp, Belgium) which were excluded as much as possible confounding external factors. Then at each location six transects were determined that consists of measure points at 2, 4, 8, 16, 32, 64, 128 and 200 meters from the track. In a second phase of the research, the susceptibility measurements were carried out with the MS2-D sensor. Due to the magnetization, we can measure the metals from railway tracks and railway traffic present in the soil, such as iron (Fe) and nickel (Ni), also referred to as magnetic susceptibility. Four measurements were always performed at each measure point, two measurements at x1.0 and two measurements at x0.1. Thereafter, it was determined whether the wind direction and the distance from the railway line contribute to a significant effect on the magnetic susceptibility. In a third phase of the research, soil samples were taken for measurering the saturation isothermal remanent magnetization (SIRM). Two soil samples were taken at each measuring point anywhere along a transect downwind (transect 5). These soil samples were dried, finely ground with a mortar and analyzed on SIRM.
Magnetische karakterisering van bodems nabij spoorwegenRoeland Sterkens
Summary:
Railway traffic is responsible for the emissions of metal particles, bij combustion of fossil fuels and friction between wheel parts, railtracks and catenary. These particles are released in the atmosfeer and precipitate in the proximity of railways. The purpose of this masterthesis was to determine the influence of the rail on the magnetic properties of the nearby soil. Further, the effect of distance and effect of wind direction was determined on the spot by measuring the magnetic susceptibility of the soil and the distance effect on the SIRM values was determined in the lab.
Also, the linear relationship was determined between the SIRM and magnetic susceptibility in order to determine the magnetic signal in soils in a faster and easier way. In a first phase, three field research sites were selected in Achterlee, Essen and Lier (province of Antwerp, Belgium) which were excluded as much as possible confounding external factors. Then at each location six transects were determined that consists of measure points at 2, 4, 8, 16, 32, 64, 128 and 200 meters from the track. In a second phase of the research, the susceptibility measurements were carried out with the MS2-D sensor. Due to the magnetization, we can measure the metals from railway tracks and railway traffic present in the soil, such as iron (Fe) and nickel (Ni), also referred to as magnetic susceptibility. Four measurements were always performed at each measure point, two measurements at x1.0 and two measurements at x0.1. Thereafter, it was determined whether the wind direction and the distance from the railway line contribute to a significant effect on the magnetic susceptibility. In a third phase of the research, soil samples were taken for measurering the saturation isothermal remanent magnetization (SIRM). Two soil samples were taken at each measuring point anywhere along a transect downwind (transect 5). These soil samples were dried, finely ground with a mortar and analyzed on SIRM.
Lessons Learned from Dockerizing Spark WorkloadsBlueData, Inc.
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed Big Data applications like Apache Spark.
Some of these challenges include container lifecycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is “all in” on Docker containers – with a specific focus on Spark applications. They’ve learned first-hand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy Big Data workloads using Docker.
This session at Spark Summit in February 2017 (by Thomas Phelan, co-founder and chief architect at BlueData) described lessons learned as well as some tips and tricks on how to Dockerize your Big Data applications in a reliable, scalable, and high-performance environment.
In this session, Tom described how to network Docker containers across multiple hosts securely. He discussed ways to achieve high availability across distributed Big Data applications and hosts in your data center. And since we’re talking about very large volumes of data, performance is a key factor. So Tom discussed some of the storage options that BlueData explored and implemented to achieve near bare-metal I/O performance for Spark using Docker.
https://spark-summit.org/east-2017/events/lessons-learned-from-dockerizing-spark-workloads