The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations
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Patrick M. Reed | Barak Fishbain | Asaf Nebenzal | Shai Kendler | David Gold | B. Fishbain | P. Reed | S. Kendler | D. Gold | Asaf Nebenzal
[1] D. Hlinka,et al. Using CALPUFF to evaluate the impacts of power plant emissions in Illinois: model sensitivity and implications , 2002 .
[2] Kay Chen Tan,et al. A hybrid evolutionary multiobjective optimization algorithm with adaptive multi-fitness assignment , 2015, Soft Comput..
[3] L. Cedola,et al. Application of genetic algorithm for the simultaneous identification of atmospheric pollution sources , 2015 .
[4] Alena Bartonova,et al. An evaluation tool kit of air quality micro-sensing units. , 2017, The Science of the total environment.
[5] Jonathan Hurst,et al. Automated source term and wind parameter estimation for atmospheric transport and dispersion applications , 2015 .
[6] Alena Bartonova,et al. Node-to-node field calibration of wireless distributed air pollution sensor network. , 2018, Environmental pollution.
[7] Raimund Almbauer,et al. Evaluation of GRAL for the pollutant dispersion from a city street tunnel portal at depressed level , 2005, Environ. Model. Softw..
[8] Patrick M. Reed,et al. Large-scale parallelization of the Borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems , 2015, Environ. Model. Softw..
[9] Jonathan L. Goodall,et al. Design and implementation of a general software library for using NSGA-II with SWAT for multi-objective model calibration , 2016, Environ. Model. Softw..
[10] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[11] Francesco Danuso,et al. A software application for mapping livestock waste odour dispersion , 2015, Environ. Model. Softw..
[12] U. Lerner,et al. On the feasibility of measuring urban air pollution by wireless distributed sensor networks. , 2015, The Science of the total environment.
[13] Nathan Platt,et al. Comparative investigation of Source Term Estimation algorithms using FUSION field trial 2007 data: linear regression analysis , 2012 .
[14] Barak Fishbain,et al. Hough-Transform-Based Interpolation Scheme for Generating Accurate Dense Spatial Maps of Air Pollutants from Sparse Sensing , 2017, ISESS.
[15] Hyondong Oh,et al. A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors , 2017, Inf. Fusion.
[16] Ok-Hyun Park,et al. Selection of an appropriate model to predict plume dispersion in coastal areas , 2007 .
[17] Ashu Jain,et al. Development of effective and efficient rainfall‐runoff models using integration of deterministic, real‐coded genetic algorithms and artificial neural network techniques , 2004 .
[18] Donald L. Ermak,et al. An analytical model for air pollutant transport and deposition from a point source , 1977 .
[19] P. Jonathan,et al. Locating and quantifying gas emission sources using remotely obtained concentration data , 2012, 1211.1409.
[20] Günter Rudolph,et al. Convergence properties of some multi-objective evolutionary algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[21] Sue Ellen Haupt,et al. Source Characterization with a Genetic Algorithm–Coupled Dispersion–Backward Model Incorporating SCIPUFF , 2007 .
[22] S. Hanna,et al. The need for harmonization of methods for finding locations and magnitudes of air pollution sources using observations of concentrations and wind fields , 2017 .
[23] F. Girardi,et al. The field campaigns of the European Tracer Experiment (ETEX): overview and results , 1998 .
[24] Roberto Passerone,et al. Deployment and evaluation of a wireless sensor network for methane leak detection , 2013 .
[25] A. Cimorelli,et al. AERMOD: A Dispersion Model for Industrial Source Applications. Part I: General Model Formulation and Boundary Layer Characterization. , 2005 .
[26] Steven C. Chapra,et al. QUAL2Kw - A framework for modeling water quality in streams and rivers using a genetic algorithm for calibration , 2006, Environ. Model. Softw..
[27] Anthony J. Jakeman,et al. An open software environment for hydrological model assessment and development , 2011, Environ. Model. Softw..
[28] D. L. Donoho,et al. Compressed sensing , 2006, IEEE Trans. Inf. Theory.
[29] Patrick M. Reed,et al. Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization , 2012, Evolutionary Computation.
[30] Xiaoxing Liu,et al. Low-Cost, Distributed Environmental Monitors for Factory Worker Health , 2018, Sensors.
[31] Patrick M. Reed,et al. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework , 2013, Evolutionary Computation.
[32] Holger R. Maier,et al. Use of Domain Knowledge to Increase the Convergence Rate of Evolutionary Algorithms for Optimizing the Cost and Resilience of Water Distribution Systems , 2016 .
[33] Randy L. Haupt,et al. A mixed integer genetic algorithm used in biological and chemical defense applications , 2011, Soft Comput..
[34] Michel Gendreau,et al. Hyper-heuristics: a survey of the state of the art , 2013, J. Oper. Res. Soc..
[35] Celso C. Ribeiro,et al. Multi-start methods for combinatorial optimization , 2013, Eur. J. Oper. Res..
[36] Patrick M. Reed,et al. Using interactive archives in evolutionary multiobjective optimization: A case study for long-term groundwater monitoring design , 2007, Environ. Model. Softw..
[37] E. Blyth,et al. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration , 2017 .
[38] N Platt,et al. Comparative Investigation of Source Term Estimation Algorithms for Hazardous Material Atmospheric Transport and Dispersion Prediction Tools , 2012 .
[39] Godswill Ofualagba,et al. Autonomous monitoring, analysis, and countering of air pollution using environmental drones , 2020, Heliyon.
[40] C E Kolb,et al. Development of atmospheric tracer methods to measure methane emissions from natural gas facilities and urban areas. , 1995, Environmental science & technology.
[41] Adel Said Elmaghraby,et al. A swarm-based fuzzy logic control mobile sensor network for hazardous contaminants localization , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).
[42] Jeremy T. White,et al. A model-independent iterative ensemble smoother for efficient history-matching and uncertainty quantification in very high dimensions , 2018, Environ. Model. Softw..
[43] Kit Ming Lam,et al. Recent progress in CFD modelling of wind field and pollutant transport in street canyons , 2006 .
[44] Barak Fishbain,et al. Optimal Deployment of a Heterogeneous Air Quality Sensor Network , 2019, Journal of Environmental Informatics.
[45] Alon Manor,et al. Real-time stand-off spatial detection and identification of gases and vapor using external-cavity quantum cascade laser open-path spectrometer , 2015 .
[46] Eben D Thoma,et al. Assessment of methane emissions from oil and gas production pads using mobile measurements. , 2014, Environmental science & technology.
[47] David Haussler,et al. Occam's Razor , 1987, Inf. Process. Lett..
[48] Andrea Castelletti,et al. Scalable Multiobjective Control for Large-Scale Water Resources Systems Under Uncertainty , 2018, IEEE Transactions on Control Systems Technology.
[49] Yan Wang,et al. Source term estimation of hazardous material releases using hybrid genetic algorithm with composite cost functions , 2018, Eng. Appl. Artif. Intell..