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  • Search: subject:"Source identification"
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Subject
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Source identification 4 Groundwater pollution 3 Pollution source identification 2 Artificial neural networks 1 China 1 Concentration patterns 1 Constrained EM-algorithm 1 Economic growth 1 Factor-level productivity indicator 1 Gaussian model 1 Genetic algorithm 1 Genetic programming 1 Global slack-based productivity indicator (GSBPI) 1 Industrialisierung 1 Industrialization 1 Industrie 1 Inverse modeling 1 Inverse problem 1 Manufacturing industries 1 Measurement error 1 Missing observation 1 Mixture density estimation 1 Monitoring network design 1 Optimal monitoring network 1 Optimization 1 Optimization models 1 Productivity 1 Produktivität 1 Regional growth 1 Regional industrial growth 1 Regionales Wachstum 1 SO2 1 Simulated annealing 1 Wirtschaftswachstum 1 groundwater systems 1 initial values 1 measurementerrors 1 pollution sources 1 source flux 1 source identification 1
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Online availability
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Undetermined 7
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 6 English 1
Author
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Datta, Bithin 4 Campbell, Sean 1 Candau, Yves 1 Chakrabarty, Dibakar 1 Chiu, Ching-Ren 1 Dhar, Anirban 1 Eloyan, Ani 1 Escalada, Gerry 1 Ghosh, Sujit K. 1 Hu, Jin-li 1 Ionescu, Anda 1 Khlaifi, Anis 1 Li, Lan-Bing 1 Mahar, Pooran 1 Prakash, Om 1 Singh, Raj 1 Zhang, Cong-Cong 1
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Published in...
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Water Resources Management 4 Computational Statistics & Data Analysis 1 Empirical economics : a quarterly journal of the Institute for Advanced Studies 1 Mathematics and Computers in Simulation (MATCOM) 1
Source
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RePEc 6 ECONIS (ZBW) 1
Showing 1 - 7 of 7
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Disaggregate productivity growth sources of regional industries in China
Li, Lan-Bing; Zhang, Cong-Cong; Hu, Jin-li; Chiu, Ching-Ren - In: Empirical economics : a quarterly journal of the … 60 (2021) 3, pp. 1531-1557
Persistent link: https://www.econbiz.de/10012490603
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Efficient Identification of Unknown Groundwater Pollution Sources Using Linked Simulation-Optimization Incorporating Monitoring Location Impact Factor and Frequency Factor
Datta, Bithin; Prakash, Om; Campbell, Sean; Escalada, Gerry - In: Water Resources Management 27 (2013) 14, pp. 4959-4976
This study aims to improve the accuracy of groundwater pollution source identification using concentration measurements … permissible monitoring locations. The designed monitoring network improves the results of source identification by choosing … show the efficiency in source identification when concentration measurements from the designed monitoring network are …
Persistent link: https://www.econbiz.de/10010794348
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A semiparametric approach to source separation using independent component analysis
Eloyan, Ani; Ghosh, Sujit K. - In: Computational Statistics & Data Analysis 58 (2013) C, pp. 383-396
Data processing and source identification using lower dimensional hidden structure plays an essential role in many …
Persistent link: https://www.econbiz.de/10010595099
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Optimal Dynamic Monitoring Network Design and Identification of Unknown Groundwater Pollution Sources
Datta, Bithin; Chakrabarty, Dibakar; Dhar, Anirban - In: Water Resources Management 23 (2009) 10, pp. 2031-2049
unknown source identification process to a large extent. Therefore coupled and iterative sequential source identification and … exchange of information between monitoring network and source identification methodology. The preliminary identification of … the first stage. Both the monitoring network and source identification process is repeated by sequential identification of …
Persistent link: https://www.econbiz.de/10010794492
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Pollution source identification using a coupled diffusion model with a genetic algorithm
Khlaifi, Anis; Ionescu, Anda; Candau, Yves - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 12, pp. 3500-3510
A new approach for the source quantification has been developed on the basis of real air pollutant hourly concentrations of SO2, measured by three monitoring stations, during 9h, around a group of three industrial sources. This inverse problem has been solved by coupling a direct model of...
Persistent link: https://www.econbiz.de/10010748671
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Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data
Singh, Raj; Datta, Bithin - In: Water Resources Management 21 (2007) 3, pp. 557-572
Groundwater pollution sources are characterized by spatially and temporally varying source locations, injection rates, and duration of activity. Concentration measurement data at specified observation locations are generally utilized to identify these sources characteristics. Identification of...
Persistent link: https://www.econbiz.de/10010847335
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Identification of Pollution Sources in Transient Groundwater Systems
Mahar, Pooran; Datta, Bithin - In: Water Resources Management 14 (2000) 3, pp. 209-227
A methodology using a nonlinear optimization model is presentedfor estimating unknown magnitude, location and duration ofgroundwater pollution sources under transient flow and transportconditions. The proposed optimization model incorporates thegoverning equations of flow and solute transport as...
Persistent link: https://www.econbiz.de/10010997569
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