This study proposes an approach which permits assessing net emission changes under the Kyoto Protocol, in particular with respect to atmospheric CO2 and CO2 emissions from fossil fuel burning, cement manufacture and gas flaring; whereby emission changes are characterized by uncertainty distributions in terms of verification times (VTs). More
Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations. More
The linkage algorithms solve the problem of linking models, e.g. sectorial and/or regional, into an inter-sectorial inter-regional integrated model. Linkage enables to avoid “hard linking” of models in a single code, which saves the programming time and enables parallel distributed computations of individual models instead of a large scale integrated model. Models linkage preserves the structure of the original models taking into account critically important details, which are usually missing in aggregate models More
Last edited: 15 March 2021
Zhong, H., Feng, K., Sun, L., Tian, Z., Fischer, G., Cheng, L., & Munoz Castillo, R. (2021). Water-land tradeoffs to meet future demands for sugar crops in Latin America and the Caribbean: A bio-physical and socio-economic nexus perspective. Resources, Conservation and Recycling 169, e105510. 10.1016/j.resconrec.2021.105510.
Jost, E., Schönhart, M., Skalský, R. , Balkovič, J. , Schmid, E., & Mitter, H. (2021). Dynamic soil functions assessment employing land use and climate scenarios at regional scale. Journal of Environmental Management 287, e112318. 10.1016/j.jenvman.2021.112318.
Lessa Derci Augustynczik, A. & Yousefpour, R. (2021). Assessing the synergistic value of ecosystem services in European beech forests. Ecosystem Services 49, e101264. 10.1016/j.ecoser.2021.101264.
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