Deterministic and stochastic simulations for solid waste collection systems - A SWIM approach

被引:13
|
作者
Wang, FS [1 ]
机构
[1] RMIT Univ, Transport Res Ctr, Melbourne, Vic 8006, Australia
关键词
simulation models; integrated waste management; local solid waste management system; economic and environmental models; deterministic models; stochastic models;
D O I
10.1023/A:1013325717955
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The SWIM model is the first systems model in Australia that deals with integrated waste management systems. The main modelling approach adopted is simulation, which is based on both deterministic and stochastic models for collection systems. These models are described in this paper, after a number of modelling approaches are reviewed. An example of the application of the SWIM model is given, and planned extensions to the SWIM model are briefly outlined.
引用
收藏
页码:249 / 260
页数:12
相关论文
共 50 条
  • [21] Municipal solid waste collection systems: An indicator to assess the reusability of products
    Degli Esposti, Anna
    Magrini, Chiara
    Bonoli, Alessandra
    Degli Esposti, Anna (anna.degliesposti6@unibo.it), 1600, SAGE Publications Ltd (39): : 1200 - 1209
  • [22] Municipal solid waste collection systems: An indicator to assess the reusability of products
    Degli Esposti, Anna
    Magrini, Chiara
    Bonoli, Alessandra
    WASTE MANAGEMENT & RESEARCH, 2021, 39 (09) : 1200 - 1209
  • [23] Intelligent Systems for Modelling of a Tubular Conveyor for Collection and Sorting Solid Waste
    Bulatov, Nurzhan
    JOURNAL OF ENVIRONMENTAL ACCOUNTING AND MANAGEMENT, 2025, 13 (01) : 91 - 105
  • [24] GIS technology for vehicle routing and scheduling in solid waste collection systems
    Chang, NB
    Lu, HY
    Wei, YL
    JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1997, 123 (09): : 901 - 910
  • [25] x Integrated Communication for Truck Monitoring in Solid Waste Collection Systems
    Arebey, Maher
    Hannan, M. A.
    Basri, Hassan
    ADVANCES IN VISUAL INFORMATICS, 2013, 8237 : 70 - 80
  • [26] Stochastic and deterministic simulations of heterogeneous cell population dynamics
    Mantzaris, Nikos V.
    JOURNAL OF THEORETICAL BIOLOGY, 2006, 241 (03) : 690 - 706
  • [27] Adaptive stochastic-deterministic chemical kinetic simulations
    Vasudeva, K
    Bhalla, US
    BIOINFORMATICS, 2004, 20 (01) : 78 - 84
  • [28] A Scalable, Deterministic Approach to Stochastic Computing
    Kiran, Yadu
    Riedel, Marc
    PROCEEDINGS OF THE 32ND GREAT LAKES SYMPOSIUM ON VLSI 2022, GLSVLSI 2022, 2022, : 45 - 51
  • [29] ON THE DEFINITIONS OF STOCHASTIC, DETERMINISTIC AND NEAR-STOCHASTIC SYSTEMS
    RIZKIN, I
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 1992, 20 (06) : 689 - 692
  • [30] Detecting deterministic dynamics in stochastic systems
    Ortega, GJ
    Louis, E
    STOCHASTIC AND CHAOTIC DYNAMICS IN THE LAKES, 2000, 502 : 662 - 667