2 edition of **Collective adjustment of the parameters of the mathematical model of a large aquifer** found in the catalog.

Collective adjustment of the parameters of the mathematical model of a large aquifer

Robert E Lovell

- 380 Want to read
- 36 Currently reading

Published
**1971**
by Hydrology and Water Resources Interdisciplinary Program, University of Arizona in Tucson
.

Written in English

- Groundwater -- Mathematical models

**Edition Notes**

Statement | by Robert E. Lovell |

Series | Technical report ; no. 4 |

The Physical Object | |
---|---|

Pagination | ix, 87 leaves ; |

Number of Pages | 87 |

ID Numbers | |

Open Library | OL14559151M |

An important consideration is the capability of a method to be applied to the hydrogeologic setting in the State. It may be important to evaluate how suitable the method would be to incorporate the effects of "sources" and "sinks," boundary conditions, variable aquifer parameters, and other technical factors.. 4 . PDXScholar, a service of Portland State University Library, provides access to a diverse collection of academic, scholarly, scientific and creative content produced by faculty, students and staff. PDXScholar increases the visibility of authors' works, maximizes research impact, facilitates interdisciplinary research, and provides regional and global communities with immediate and permanent access.

The parameters of ground water flow and solute transport models are hydraulic conductivity, specific storativity, effective porosity, dispersivity, matrix diffusion, distribution coefficients, decay coefficients, and reaction rates. These parameters are inferred by fitting mathematical models to measured head and solute concentration data. @article{osti_, title = {Parameter estimation through ground water tracer tests}, author = {Rainwater, K A and Wise, W R and Charbeneau, R J}, abstractNote = {In situ estimation of parameters in chemical models describing ground water pollutant transport and fate is considered. During tracer test, the observed breakthrough of a conservative species yields information characterizing the.

1 Introduction. Mathematical optimization is a branch of engineering that deals with the selection of the ideal solution for a specific function (or a problem), in order to either minimize or maximize the function’s result [].In layman’s terms, the optimization can be described as a process to select the best elements present among a series of available alternatives, in order to obtain the. This chapter provides a new methodology and two tools for user‐driven Wikinomics‐oriented scientific applications’ development. Service‐oriented architecture for such applications is used, where the entire research supporting computing or simulating process is broken down into a set of loosely coupled stages in the form of interoperating replaceable Web services that can be distributed.

You might also like

Secret Flotillas: Clandestine Sea Lines to France : Clandestine Naval Operations 1940-44 (2 Volume Set : Clandestine Sea Lines to France - Clandestine Naval Operations 1940-44)

Secret Flotillas: Clandestine Sea Lines to France : Clandestine Naval Operations 1940-44 (2 Volume Set : Clandestine Sea Lines to France - Clandestine Naval Operations 1940-44)

Japanese swords

Japanese swords

Science and games

Science and games

So what if its raining

So what if its raining

The role of alternative risk programming models in empirical research

The role of alternative risk programming models in empirical research

Simons song.

Simons song.

history of magic

history of magic

Minutes to midnight

Minutes to midnight

An eulogy on the life of Gen. George Washington

An eulogy on the life of Gen. George Washington

annotated bibliography of empirical foreign direct investment literature

annotated bibliography of empirical foreign direct investment literature

guide to St. John the Baptist Church, Boldre, Lymington

guide to St. John the Baptist Church, Boldre, Lymington

Sir Gibbie

Sir Gibbie

Specification for the title leaves of a book.

Specification for the title leaves of a book.

Get this from a library. Collective adjustment of the parameters of the mathematical model of a large aquifer. [Robert Edmund Lovell]. COLLECTIVE ADJUSTMENT OF THE PARAMETERS OF THE MATHEMATICAL MODEL OF A LARGE AQUIFER. By Robert E. Lovell.

Abstract. The problem of evaluating the parameters of the mathematical model of\ud an unconfined aquifer is examined with a view toward development of automated\ud or computer -aided methods. A formulation is presented in which subjective Author: Robert E.

Lovell. An aquifer containing a skin zone is considered as a two-zone system. A mathematical model describing the head distribution is presented for a slug test performed in a two-zone confined aquifer. 2. Current situation of managed aquifer recharge. The past decades have seen unprecedented groundwater extraction and overdraft as well as development of new technologies for water treatment that together drive the advance in intentional groundwater replenishment known as managed aquifer recharge (Dillon et al., ).Numerous studies including many scientific journal Author: Heng Zhang, Yongxin Xu, Yongxin Xu, Thokozani Kanyerere.we can now fit the model’s parameters to the gain distribution from and obtain an excellent fit with a Kolmogorov–Smirnov (KS) distance of and a p value of (see Methods Cited by: Laplace and Weber transform parameters (P k, P k) k th input parameter and 10 −3 P k On the basis of Hantush's () leaky aquifer model, Wen et al.

() developed a model for CHT in an. Aquifer Test Modeling By William C. Walton | Pages | ISBN: | PDF | 4 MB. The model was calibrated with four years of data, at three-month time-steps, and adapted to the small capacity computers then available.

Ina mathematical flow model for the Lower Llobregat aquifer system was prepared, based on the code of Trescott (). The model was calibrated with a quarterly data-set of five years and validated. Models may not consistently converge on a single solution, firstly because local minima may exist, depending on the cost function and the model.

Secondly, the optimization method used might not guarantee to converge when it begins far from any local minimum. Thirdly, for sufficiently large data or parameters, some methods become impractical.

The Guarani Aquifer System (GAS) is a strategic transboundary aquifer system shared by Brazil, Argentina, Paraguay and Uruguay.

This article presents a groundwater flow model to assess the GAS system in terms of regional flow patterns, water balance and overall recharge.

Despite the continental dimension of GAS, groundwater recharge is restricted to narrow outcrop zones. To obtain the fiber parameters, the polarization maps are fit to a model of the system using a custom-made genetic algorithm program.

The algorithm simulates the optical system using Jones calculus and the fiber model discussed in the Methods section (see the supplementary material for further details on the system model).

Starting with several. In this paper, we propose a simple yet effective theoretical model for the evolutionary threshold public goods game with binary contributions (each individual makes decision to contribute a fixed donation amount or nothing), incorporating the effect of the collective risk.

In order to investigate the evolutionary dynamics of the collective cooperative behavior, we analyze the population. A minimum wage is the lowest remuneration that employers can legally pay their workers—the price floor below which workers may not sell their labor. Most countries had introduced minimum wage legislation by the end of the 20th century.

Supply and demand models suggest that there may be welfare and employment losses from minimum wages. However, if the labor market is in a state of monopsony. Comparison of a Distributed Parameter and a Boundary Integral Model of Long Period Ocean Waves Far-Field Contaminant Dispersion in Environmental Flows A Mathematical Model for the Drawing of a Solid Continuum Through Newtonian Fluid Filled Tubular Orifice Geothermal Aquifer Modelling: A Low Temperature Production/Disposal System.

1 day ago The particle swarm optimization algorithm (PSO) is not good at dealing with discrete optimization problems, and for the krill herd algorithm (KH), the ability of local search is relatively poor.

In this paper, we optimized PSO by quantum behavior and optimized KH by simulated annealing, so a new hybrid algorithm, named the annealing krill quantum particle swarm optimization (AKQPSO) algorithm. random net model. Rapoport shows that two parameters, obtainable from the data, are sufficient to produce a close fit between the predictions of the model and the empirical outcome of the trace procedure.1 Rapoport's model was designed to describe a trace procedure quite dif- ferent from the one employed in the present study; however, it has some.

model should be in accordance with the simulations objectives. A regional nu-merical model of a basin with km2 for a pit dewatering estimate cannot accordingly reproduce the drawdown generated by pumping 1 L/s in a large di-ameter well.

Construction of a numerical model. A numerical code should be selected based. Examples of collective animal behaviour. (a) Fish milling (reproduced with permission from Philip Colla, ).(b) The entrance crater to a nest of the ant Messor barbarus (from Theraulaz et al.

).(c) Traffic flow in Paris (reproduced with permission from Anthony Atkielski).(d) A bifurcation in a Pharaoh's ant trail (reproduced with permission from Duncan Jackson). The behavioural algorithms are then the basis for mathematical models.

If a similar mathematical model has been previously applied to another system, this helps us understand the behavioural algorithm and thus the system, but the equivalence of mathematical models alone should not guide the way in which we study our chosen system.

Back analysis for seepage parameters is a classic issue in hydraulic engineering seepage calculations. Considering the characteristics of inversion problems, including high dimensionality, numerous local optimal values, poor convergence performance, and excessive calculation time, a biological immune mechanism-based quantum particle swarm optimization (IQPSO) algorithm was proposed to solve.

COLLECTIVE RISK MODEL GLENN MEYERS NATHANIEL SCHENKER Abstract This paper proposes a new version of the collective risk model that allows for uncertainty in selecting the expected number of claims and the claim severity distribution. We provide two different methods of estimating the parameters of this model.

() A Semi-Analytical Solution for Large-Scale Injection-Induced Pressure Perturbation and Leakage in a Laterally Bounded Aquifer–Aquitard System. Transport in Porous Media() A parameter sensitivity analysis of two Chalk tracer tests.Actual timing will depend on the aquifer and well conditions which vary from test area to test area.

Estimates for timing should be made during the planning stages of aquifer testing using estimated aquifer parameters based on the conceptual model of the site.

Table 1.