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.

Basic information

Original name

Modelling and Forecasting Waste Generation - DECWASTE Information System

Authors

HŘEBÍČEK, Jiří (203 Czech Republic, guarantor, belonging to the institution), Jiří KALINA (203 Czech Republic, belonging to the institution), Jana SOUKOPOVÁ (203 Czech Republic, belonging to the institution), E. HORAKOVA (203 Czech Republic), J. PRASEK (203 Czech Republic) and J. VALTA (203 Czech Republic)

Edition

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

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14110/17:00113827

Organization unit

Faculty of Medicine

ISBN

978-3-319-89934-3

ISSN

DOI

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

UT WoS

000455046700036

Keywords in English

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

Abstract

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 and 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, p. 433-445. ISBN 978-3-319-89934-3. Available from: https://dx.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 = {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 and 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, p.~433-445. ISBN~978-3-319-89934-3. Available from: https://dx.doi.org/10.1007/978-3-319-89935-0\_{}36.

Detailed Information on Publication Record