There is a growing interest in the field of modeling and quantitative assessment of environmental problems. For some years now results of environmental models and assessment analyses have been influencing environmental regulation and policies at local, national and international levels. Therefore the need to understand both the power and limitations of environmental models and quantitative assessment techniques has never been greater. The journal aims to build a bridge between the scientific community's understanding of key environmental issues and the decision makers' need to influence relevant policies and regulations on the basis of the best available information.

Environmental Modeling & Assessment strives to achieve this by publishing high quality, peer-reviewed papers that may be regarded as either instances of best practice, or as studies that advance the evolution and applicability of the theories and techniques of modeling and assessment. Consequently, Environmental Modeling & Assessment will publish high quality papers on all aspects of environmental problems that contain a significant quantitative modeling or analytic component, interpreted broadly. In particular, we are interested both in detailed scientific models of specific environmental problems and in large scale models of the global environment.

We invite models of environmental problems and phenomena that utilise, in an original way, the techniques of ordinary and partial differential equations, simulation, statistics and applied probability, control theory, operations research, mathematical economics, and game theory.

Emphasis will be placed on the novelty of the model, the environmental relevance of the problem, and the generic applicability of the techniques used. Generally, papers should be written in a manner that is accessible to a wide interdisciplinary audience.

However, Environmental Modeling & Assessment will also provide a forum where researchers can publish a complete mathematical description of important environmental models together with the accompanying analysis and underlying assumptions. Occasionally, papers that are primarily theoretical will be accepted, provided that the results deliver conceptual insight into some environmental problem.

The journal of Environmental Modeling & Assessment would like to congratulate its Editorial Board Member Dr. William D. Nordhaus for being awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2018, together with Dr. Paul M. Romer. Dr. William D. Nordhaus was recognized by the Nobel Committee "for integrating climate change into long-run macroeconomic analysis".
Editor-in-Chief:
Jerzy A. Filar
Centre for Applications in Natural Resource Mathematics, School of Mathematics and Physics, The University of Queensland, Brisbane, Australia
Advisory Editors:
G.J. Olsder, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
Y. Parlange, Dept. of Agricultural and Biological Engineering, Cornell University, Ithaca, NY, USA
R. Ulanowicz, Dept. of Biology, University of Florida, Gainesville, USA
Editorial Board:
T. Archibald, University of Edinburgh Business School, Edinburgh, UK; O. Bahn, HEC Montreal, Canada; A. Baklanov, Danish Meteorological Institute (DMI), Copenhagen, Denmark; E. Baltrėnaitė-Gedienė, Institute of Environmental Protection, Vilnius Gediminas Technical University, Vilnius, Lithuania; M. Breton, HEC Montréal, Canada; C. Carraro, University of Venice, Italy; N.-B. Chang, Civil and Environmental Engineering Dept., University of Central Florida, Orlando, USA; N. Chappell, Lancaster University, UK; M. De Lara, Université Paris-Est, CERMICS, Marne la Vallée, France; L. Doyen, GrEThA, University of Bordeaux, France; P. Gajardo, Universidad Tecnica Federico Santa Maria, Departamento de Matemática, Chile; A. Haurie, HEC - Management Studies, University of Geneva, Switzerland; D. Karssenberg, Dept. of Physical Geography, Utrecht University, The Netherlands; S.D. Kolev, School of Chemistry, University of Melbourne, Australia; J.B. Krawczyk,Victoria University of Wellington, New Zealand; I.S. Lowndes, Dept. of Chemical & Environmental Engineering, Faculty of Engineering, University of Nottingham, UK; Z. Lu, Southampton Statistical Sciences Research Institute, University of Southampton; A. Mahura, University of Helsinki, Helsinki, Finland; H. Malchow, Institute of Environmental Systems Research, University of Osnabrück, Germany; T. F. May Chui, The University of Hong Kong, SAR, China; A. Mynett, UNESCO-IHE Institute for Water Education, Delft, The Netherlands; W.D. Nordhaus, Dept. of Economics, Yale University, New Haven, CT, USA; P. Pardalos, Centre for Applied Optimization and ISE Dept., University of Florida, Gainesville, USA; U. Rieder, Abt. Mathematik VII, Universität Ulm, Germany; N.P. Ross, Stratlogic, Bethesda, MD, USA; S.J.Rubio, Dept. of Economic Analysis and Eri-Ces, University of Valencia, Spain; C.T. Simmons, National Centre for Groundwater Research and Training, Flinders University, Adelaide, Australia; B.K. Sinha, Dept. of Mathematics and Statistics, University of Maryland, Baltimore, USA; C. Tamarit, Dept. of Applied Economics, University of Valencia, Spain; J. Taylor, CSIRO Computational and Simulation Sciences, Canberra, Australia; B.C.C. van der Zwaan, Policy Studies Dept., Energy Research Center of The Netherlands (ECN), Amsterdam, The Netherlands; J.A. Verstegen, Institut für Geoinformatik, University of Munster, Germany; J. Walde, Dept. of Statistics, University of Innsbruck, Austria; Y.-G. Wang, School of Mathematics and Physics, The University of Queensland, Australia; M.-L. Wu, United International College, Beijing Normal University-Hong Kong Baptist University, Zhuhai, Guangdong, P.R. China; G. Zaccour, GERAD, HEC Montréal, Canada; D. Zachary, Energy Policy and Climate Program, Johns Hopkins University, Washington, DC, USA