HŘEBÍČEK, Jiří, Jiří KALINA, Jana SOUKOPOVÁ, E. HORAKOVA, J. PRASEK a J. VALTA. Modelling and Forecasting Waste Generation - DECWASTE Information System. In Hřebíček, J., Denzer, R., Schimak, G., Pitner, T. Environmental software systems: computer science for environmental protection. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2017, s. 433-445. ISBN 978-3-319-89934-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-89935-0_36. |
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@inproceedings{1650196, author = {Hřebíček, Jiří and Kalina, Jiří and Soukopová, Jana and Horakova, E. and Prasek, J. and Valta, J.}, address = {CHAM}, booktitle = {Environmental software systems: computer science for environmental protection}, doi = {http://dx.doi.org/10.1007/978-3-319-89935-0_36}, editor = {Hřebíček, J., Denzer, R., Schimak, G., Pitner, T.}, keywords = {Waste generation; Waste categories; Forecasting; Modelling; DPSIR; Multi-linear regression models}, howpublished = {tištěná verze "print"}, language = {eng}, location = {CHAM}, isbn = {978-3-319-89934-3}, pages = {433-445}, publisher = {SPRINGER INTERNATIONAL PUBLISHING AG}, title = {Modelling and Forecasting Waste Generation - DECWASTE Information System}, url = {https://link.springer.com/chapter/10.1007/978-3-319-89935-0_36#citeas}, year = {2017} }
TY - JOUR ID - 1650196 AU - Hřebíček, Jiří - Kalina, Jiří - Soukopová, Jana - Horakova, E. - Prasek, J. - Valta, J. PY - 2017 TI - Modelling and Forecasting Waste Generation - DECWASTE Information System PB - SPRINGER INTERNATIONAL PUBLISHING AG CY - CHAM SN - 9783319899343 KW - Waste generation KW - Waste categories KW - Forecasting KW - Modelling KW - DPSIR KW - Multi-linear regression models UR - https://link.springer.com/chapter/10.1007/978-3-319-89935-0_36#citeas L2 - https://link.springer.com/chapter/10.1007/978-3-319-89935-0_36#citeas N2 - The DECWASTE forecasting waste generation information system is presented. It is based on Annexes I, II and III of Regulation (EC) No 849/2010 amending Regulation (EC) No 2150/2002 of the European Parliament and of the European Council on waste (WSR). DECWASTE forecasts the quantity of waste generated for each waste category listed in Section 2(1) of Annex I of the WSR at the Czech national level. Its multi-linear regression forecasting model is based on environmental as well as economic and social predictors. These models use historical data of the waste information system (ISOH) of the Czech Environmental Information Agency and sets of indicators (predictors) integrated into forecasting models. The methodology consisted in adjusting predictors of the forecasting models into a Driving Force-Pressure-State-Impact-Response (DPSIR) framework and their sensitivity analysis enables their choice into forecasting models and their verification using appropriate data. DECWASTE supports decisions made by the Ministry of the Environment to improve the implementation of the national Waste Management Plan. ER -
HŘEBÍČEK, Jiří, Jiří KALINA, Jana SOUKOPOVÁ, E. HORAKOVA, J. PRASEK a J. VALTA. Modelling and Forecasting Waste Generation - DECWASTE Information System. In Hřebíček, J., Denzer, R., Schimak, G., Pitner, T. \textit{Environmental software systems: computer science for environmental protection}. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2017, s.~433-445. ISBN~978-3-319-89934-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-89935-0\_{}36.
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