TY - BOOK ID - 22257609 TI - Inverse problems in groundwater modeling PY - 1994 VL - v. 6 SN - 0792329872 9048144353 9401719705 PB - Dordrecht : Kluwer, DB - UniCat KW - Groundwater KW - Inverse problems (Differential equations) KW - Problèmes inversés (Equations différentielles) KW - Mathematical models. KW - Hydrogeology. KW - Geotechnical engineering. KW - Environmental pollution. KW - Statistics . KW - Mathematical Modeling and Industrial Mathematics. KW - Geotechnical Engineering & Applied Earth Sciences. KW - Terrestrial Pollution. KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - Chemical pollution KW - Chemicals KW - Contamination of environment KW - Environmental pollution KW - Pollution KW - Contamination (Technology) KW - Asbestos abatement KW - Bioremediation KW - Environmental engineering KW - Environmental quality KW - Factory and trade waste KW - Hazardous waste site remediation KW - Hazardous wastes KW - In situ remediation KW - Lead abatement KW - Pollutants KW - Refuse and refuse disposal KW - Engineering, Geotechnical KW - Geotechnics KW - Geotechnology KW - Engineering geology KW - Models, Mathematical KW - Simulation methods KW - Geohydrology KW - Geology KW - Hydrology KW - Environmental aspects UR - https://www.unicat.be/uniCat?func=search&query=sysid:22257609 AB - ... A diskette with the updated programme of Appendix C and examples is available through the author at a small fee. email: nezheng@ucla.edu fax: 1--310--825--5435 ... This book systematically discusses basic concepts, theory, solution methods and applications of inverse problems in groundwater modeling. It is the first book devoted to this subject. The inverse problem is defined and solved in both deterministic and statistic frameworks. Various direct and indirect methods are discussed and compared. As a useful tool, the adjoint state method and its applications are given in detail. For a stochastic field, the maximum likelihood estimation and co-kriging techniques are used to estimate unknown parameters. The ill-posed problem of inverse solution is highlighted through the whole book. The importance of data collection strategy is specially emphasized. Besides the classical design criteria, the relationships between decision making, prediction, parameter identification and experimental design are considered from the point of view of extended identifiabilities. The problem of model structure identification is also considered. This book can be used as a textbook for graduate students majoring in hydrogeology or related subjects. It is also a reference book for hydrogeologists, petroleum engineers, environmental engineers, mining engineers and applied mathematicians. ER -