Modelling and Forecasting Waste Generation - DECWASTE
Information System

D 2017

Modelling and Forecasting Waste Generation - DECWASTE Information System

HŘEBÍČEK, Jiří; Jiří KALINA; Jana SOUKOPOVÁ; E. HORAKOVA; J. PRASEK et al.

Základní údaje

Originální název

Modelling and Forecasting Waste Generation - DECWASTE Information System

Autoři

HŘEBÍČEK, Jiří; Jiří KALINA; Jana SOUKOPOVÁ; E. HORAKOVA; J. PRASEK a J. VALTA

Vydání

CHAM, Environmental software systems: computer science for environmental protection, od s. 433-445, 13 s. 2017

Nakladatel

SPRINGER INTERNATIONAL PUBLISHING AG

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/17:00113827

Organizační jednotka

Lékařská fakulta

ISBN

978-3-319-89934-3

ISSN

Klíčová slova anglicky

Waste generation; Waste categories; Forecasting; Modelling; DPSIR; Multi-linear regression models

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 4. 2020 08:30, Mgr. Tereza Miškechová

Anotace

V originále

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.

Citovat

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://doi.org/10.1007/978-3-319-89935-0_36.

@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 = {https://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  - CONF
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://doi.org/10.1007/978-3-319-89935-0\_{}36.

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