2D Simulation of Advection Diffusion on Ground Water Flow on Joyo city in Kyoto

The research of my paper on the Ground Water is to predict the extent of the pollutant source. These research paper purposes, by making 2D model, to analyze two dimensional seepage flow, to predict ground water flow and to analyze the advection diffusion of pollutant. The area of the simulation model is located in the southern part of Kyoto prefecture, it has a typical ground water basin shape. First, I made the 2D model with examining the material of the stratum, and divided 3 kinds of layers. That is divided into alluvial formations, clay formations, and, diluvial formations from the ground level. It is because that the most important purpose of this study is to the extension of the pollution in multiple layers. I made the analysis of the each seepage flow to get the speed of a moving fluid by using 2D model I have made. The next, I made the simulation analysis of advection Diffusion of pollutant source to predict the expansion of pollutant source. This pollutant source for this research is mercury

Identifiability and Identification of Trace Continuous Pollutant Source

Accidental pollution events often threaten people’s health and lives, and a pollutant source is very necessary so that prompt remedial actions can be taken. In this paper, a trace continuous pollutant source identification method is developed to identify a sudden continuous emission pollutant source in an enclosed space. The location probability model is set up firstly, and then the identification method is realized by searching a global optimal objective value of the location probability. In order to discuss the identifiability performance of the presented method, a conception of a synergy degree of velocity fields is presented in order to quantitatively analyze the impact of velocity field on the identification performance. Based on this conception, some simulation cases were conducted. The application conditions of this method are obtained according to the simulation studies. In order to verify the presented method, we designed an experiment and identified an unknown source appearing in the experimental space. The result showed that the method can identify a sudden trace continuous source when the studied situation satisfies the application conditions

Application of Simulated Annealing in Water Resources Management: Optimal Solution of Groundwater Contamination Source Characterization Problem and Monitoring Network Design Problems

[Extract] Estimating various characteristics of an unknown groundwater pollutant source can be formulated as an optimization problem using linked simulation-optimization. Meta-heuristics based optimization algorithms such as Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search etc. are now being accepted as reliable, faster and simpler ways to solve this optimization problem. In this chapter we discuss the suitability of a variant of traditional Simulated Annealing (SA) known as the Adaptive Simulated Annealing (ASA) in solving unknown groundwater pollutant source characterization problem

Assessment of Effectiveness of Buffer Zones in Removing Impurities in Runoff from Areas Treated with Poultry Litter. Part II: Source Areas to Buffer Areas Ratio Effects

Vegetative filter strips (VFS) are known to reduce runoff losses of nutrients. solids. and other materials from land areas treated with fertilizers . Although VFS effectiveness is known to depend partially on the relative lengths of filter and pollutant source areas. there is little experimental evidence available to quantify this dependence. This is particularly the case when VFS are implemented down-slope of pasture areas treated with animal manures such as poultry litter. This study assessed the influences of pollutant source area (treated with poultry litter) and VFS lengths on VFS removal of total Kjeldahl nitrogen (TKN). ammonia nitrogen (NH3 -N ). nitrate nitrogen (N03-N). ortho-phosphorus (P04-P). total phosphorus (TP). total organic carbon (TOC). total suspended solids (TSS). and fecal coliform (FC) fromincoming runoff for a silt loam soil with fescue cover. Litter-treated lengths of 6.1. 12.2. and 18.3 m with corresponding VFS lengths of up to 18.3 m. 12.2 m. and 6.1 m. respectively, were examined. Runoff was produced from simulated rainfall applied at 50 mm/h for 1 h of runoff. Concentrations of the parameters analyzed were unaffected by litter treated length but demonstrated a first-order decrease with increasing VFS length except in the cases of TSS and FC. Mass transport of TKN. NH3-N. P04-P. and TP increased with increasing litter-treated length (due to increased runoff) and decreased (approximately first-order) with increasing VFS length. Effectiveness of the VFS in terms of TKN. NH3-N. P04 -P. and TP removal from runoff ranged from 6.5 to 96.3% depending on the particular parameter. litter-treated length. and VFS length. The data collected during this study can be helpful in developing and testing simulation models of VFS performance and can thus aid in design of VFS for pasture areas treated with poultry litter

ANN-based approach for the estimation aquifer pollutant source behaviour

The problem of identifying an unknown pollution source in polluted aquifers, based on known contaminant concentrations measurement, is part of the broader group of issues, called inverse problems. This paper investigates the feasibility of solving the groundwater pollution inverse problem by using artificial neural networks (ANNs). The approach consists first in training an ANN to solve the direct problem, where the pollutant concentration in a set of monitoring wells is calculated for a known pollutant source. Successively, the trained ANN is frozen and it is used to solve the inverse problem, where the pollutant source is calculated which corresponds to a set of concentrations in the monitoring wells. The approach has been applied for a real case which deals with the contamination of the Rhine aquifer by carbon tetrachloride (CCl4) due to a tanker accident. The obtained results are compared with the solution obtained with a different approach retrieved from literature. The results show the suitability of ANNs-based methods for solving inverse non-linear problems

Air improvement recommendations for the San Francisco Bay area The Stanford-Ames NASA/asee SummerFaculty Systems Design workshop Final report

Air pollution monitoring and pollutant source surveillance system, and effective regulations and enforcement means for San Francisco Bay are

Relationship between Pollutant Sources and Water Quality of Dug Well Based on Biological Parameters of E. Coli

Water from dug wells is one of the sources of clean water used by the community both in villages and cities. Groundwater consumed by the community must have quality in accordance with the specified requirements. One of the important parameters is the presence of Escherichia coli bacteria (E.coli). The aims of this study is to identify the presence of Escherichia coli bacteria in dug well. In addition, to determine the correlation between the distance of the pollutant source (cowshed and septic tank) and the well. The analytical method used is univariate descriptive method and quantitative analysis. The results showed from 7 wells that were used as research objects, there were 4 wells positive for E. Coli bacteria and 3 wells were negative for E. Coli bacteria. The correlation value test showed that the pollutant source from cowshed had a coefficient of determination of R 2 = 0.911 or 91.1% which means that there is a strong relationship between the presence of E.Coli bacteria in the well and cow dung. As for the pollutant source from the septic tank, the results of the correlation test show the value of R 2 = 0.201 or 20.1% which means that the relationship between the presence of E. Coli bacteria and the septic tank is not strong. Septic tanks construction that conform to standards are one of the factors that cause dug well water quality to remain protected from pollutants

Relationship between Pollutant Sources and Water Quality of Dug Well Based on Biological Parameters of E. Coli

Water from dug wells is one of the sources of clean water used by the community both in villages and cities. Groundwater consumed by the community must have quality in accordance with the specified requirements. One of the important parameters is the presence of Escherichia coli bacteria (E.coli). The aims of this study is to identify the presence of Escherichia coli bacteria in dug well. In addition, to determine the correlation between the distance of the pollutant source (cowshed and septic tank) and the well. The analytical method used is univariate descriptive method and quantitative analysis. The results showed from 7 wells that were used as research objects, there were 4 wells positive for E. Coli bacteria and 3 wells were negative for E. Coli bacteria. The correlation value test showed that the pollutant source from cowshed had a coefficient of determination of R 2 = 0.911 or 91.1% which means that there is a strong relationship between the presence of E.Coli bacteria in the well and cow dung. As for the pollutant source from the septic tank, the results of the correlation test show the value of R 2 = 0.201 or 20.1% which means that the relationship between the presence of E. Coli bacteria and the septic tank is not strong. Septic tanks construction that conform to standards are one of the factors that cause dug well water quality to remain protected from pollutants