Efficient gHMC Reconstruction of Contaminant Release History

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

A constrained robust least squares approach for contaminant release history identification

[1] Contaminant source identification is an important type of inverse problem in groundwater modeling and is subject to both data and model uncertainty. Model uncertainty was rarely considered in the previous studies. In this work, a robust framework for solving contaminant source recovery problems is introduced. The contaminant source identification problem is first cast into one of solving un...

متن کامل

A robust approach for iterative contaminant source location and release history recovery.

Contamination source identification is a crucial step in environmental remediation. The exact contaminant source locations and release histories are often unknown due to lack of records and therefore must be identified through inversion. Coupled source location and release history identification is a complex nonlinear optimization problem. Existing strategies for contaminant source identificati...

متن کامل

Contaminant release history identification in 2-D heterogeneous aquifers through a minimum relative entropy approach

The minimum relative entropy (MRE) method has been applied in a wide variety of fields since it was first introduced. Woodbury and Ulrych (Water Resour Res 29(8): 2847-2860, 1993, Water Resour Res 32(9): 2671-2681, 1996) adopted and improved this method to solve linear inverse problems in aquifers. In this work, the MRE method was improved to detect the source release history in 2-D aquifer cha...

متن کامل

Overview of Processes Affecting Contaminant Release from Confined Disposal Facilities

aubllc report,ng burden for the collection of lnformatlon 15 e~ttmated to average I hour per responre. mcluding the time for rewewng instructtons, searching extrtlng data rourc~. lathering and majntannlng the data needed, and completnng and revaewmg the colleuon of mformatlon. Send comments re arding this burden ertlmate or any other aspeti of th6 :ollect,on of mformatnon, mcludmg ruggertlon!, ...

متن کامل

Stochastic Event Reconstruction of Atmospheric Contaminant Dispersion Using Bayesian Inference

Environmental sensors have been deployed in various cities for early detection of contaminant releases into the atmosphere. Event reconstruction and improved dispersion modeling capabilities are needed to estimate the extent of contamination, which is required to implement effective strategies in emergency management. To this end, a stochastic event reconstruction capability that can process in...

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: Frontiers in Environmental Science

سال: 2019

ISSN: 2296-665X

DOI: 10.3389/fenvs.2019.00149