Inverse groundwater modeling with emphasis on model parameterization

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Inverse geochemical modeling of groundwater evolution with emphasis on arsenic in the Mississippi River Valley alluvial aquifer, Arkansas (USA)

r a 200 .027 sent add gmail.c Summary Inverse geochemical modeling (PHREEQC) was used to identify the evolution of groundwater with emphasis on arsenic (As) release under reducing conditions in the shallow (25–30 m) Mississippi River Valley Alluvial aquifer, Arkansas, USA. The modeling was based on flow paths defined by high-precision (±2 cm) water level contour map; X-ray diffraction (XRD), sc...

متن کامل

Motion Parameterization with Inverse Blending

Motion blending is a popular motion synthesis technique which interpolates similar motion examples according to blending weighs parameterizing high-level characteristics of interest. We present in this paper an optimization framework for determining blending weights able to produce motions precisely satisfying multiple given spatial constraints. Our proposed method is simpler than previous appr...

متن کامل

Comment on ‘‘Inverse groundwater modeling for hydraulic conductivity estimation using Bayesian model averaging

[1] Tsai and Li [2008] assert that the Bayesian information criterion (BIC) [Schwarz, 1978] is better suited for comparing models having different parameters than is the Kashyap criterion (KIC) [Kashyap, 1982] because a Fisher information term in the latter may rank models with relatively large parameter estimation uncertainties higher than other models. We start by noting that KIC reduces asym...

متن کامل

Interactive Multi-Objective Inverse Groundwater Modeling for the WIPP Site

This paper presents ongoing research on building an interactive and multiobjective framework to solve the groundwater inverse problem. Our research has shown that the inherent instability and non-uniqueness of this problem can be improved by incorporating expert knowledge about the hydro-geology of the site. The interactive multi-objective genetic algorithm (IMOGA) considers user preference (fo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Water Resources Research

سال: 2012

ISSN: 0043-1397

DOI: 10.1029/2011wr011068