高级搜索

基于CA-MAS的水域总有机碳扩散模拟研究

,  ,  , 

downloadPDF

上一篇

下一篇

俞艳, 黄远君, 何建华, 吴浩. 基于CA-MAS的水域总有机碳扩散模拟研究[J]. 环境工程学报, 2014, 8(8): 3259-3264.
引用本文: 俞艳, 黄远君, 何建华, 吴浩. 基于CA-MAS的水域总有机碳扩散模拟研究[J]. 环境工程学报, 2014, 8(8): 3259-3264.
shu
Yu Yan, Huang Yuanjun, He Jianhua, Wu Hao. TOC diffusing simulation in water environment based on CA-MAS model[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3259-3264.
Citation: Yu Yan, Huang Yuanjun, He Jianhua, Wu Hao. TOC diffusing simulation in water environment based on CA-MAS model[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3259-3264.
shu

基于CA-MAS的水域总有机碳扩散模拟研究

  • 1.

    武汉理工大学资源与环境工程学院, 武汉 430070

  • 2.

    武汉大学资源与环境科学学院, 武汉 430079

  • 3.

    武汉大学教育部地理信息系统重点实验室, 武汉 430079

  • 基金项目:

    中央高校基本科研业务费专项资金项目（2012-IV-096）

    中国博士后科学基金资助项目（2013M531749）

    香江学者计划项目（XJ2012036）

  • 中图分类号: X524

TOC diffusing simulation in water environment based on CA-MAS model

  • 1.

    School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China

  • 2.

    School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China

  • 3.

    Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China

  • Fund Project:

  • 摘要: 当前水环境污染扩散研究一般基于普通数值模型模拟，忽略了水污染扩散微观驱动力的影响。为能更真实地反映其动态扩散过程，针对水域总有机碳（TOC）扩散机理，基于CA和MAS技术，将影响TOC扩散的自然和社会经济因素抽象为微观的水流Agent、风速Agent、径流量Agent、污水排放口Agent、人工管理Agent以及农业生产地Agent，将研究水域抽象为CA元胞空间，建立了CA-MAS水域总有机碳扩散模型，对水域总有机碳的动态演化过程进行模拟，并以武汉理工大学鉴湖水域作为实验区域，借助NetLogo仿真平台完成了模型的实现与验证。模拟结果表明，该模型基本能够反映水体总有机碳的扩散规律，可以为水环境污染控制提供参考。
    Abstract: Nowadays, the current researches on the diffusion of water pollution are usually based on general numerical simulation model, which have ignored the impact of microscopic driving forces on water pollution diffusion. In order to reflect the dynamic diffusion process of water pollution in a more realistic way, we build a CA-MAS diffusing simulation model according to the mechanism of the total organic carbon (TOC) diffusion in water environment combining multi-agent systems (MAS) with cellular automata (CA). In this model, natural and social influencing factors of TOC diffusion are expressed as flow agent, wind agent, runoff agent, sewage outfall agent, management agent and agricultural agent, and the study area is abstracted as cellular space. Furthermore, Jianhu Lake in Wuhan University of Technology was taken as research area; the implementation and verification of this model were performed by NetLogo software. Finally, the result of simulation shows that CA-MAS model can basically reflect the rule of TOC diffusing in water environment; meanwhile, it can provide theoretical reference for the control of water pollution.
  • 加载中
  • [1] 杨瑞连,曾光明,李晓东.混沌粒子群算法在水污染控制系统规划中的应用.环境工程学报,2010,4(12):2679-2681 Yang R. L., Zeng G. M., Li X. D. Chaotic particles warm optimization for water pollution control system application. Chinese Journal of Environmental Engineering, 2010, 4(12): 2679-2681(in Chinese)
    [2] 俞佳,戴万宏,鲍家泽.芜湖市区主要湖泊水体总有机碳的初步研究.安徽农学通报,2009,15(8):94-101 Yu J., Dai W. H., Bao J. Z. Primary study on TOC of surface waters in the urban of Wuhu City. Anhui Agricultural Science Bulletin, 2009, 15(8):94-101(in Chinese)
    [3] 汪家权,钱家忠.水环境系统模拟.合肥:合肥工业大学出版社,2005
    [4] 吴燕华,王金如.河流综合水质模型QUAL2E在通惠河的应用.水资源保护,1995,(15):34-38 Wu Y. H., Wang J. R. River comprehensive water quality model QUAL2E in Tonghuihe. Water Resources Protection, 1995, (15): 34-38 (in Chinese)
    [5] 贾海峰,程声通,杜文涛.GIS与地表水水质模型WASP5的集成.清华大学学报(自然科学版),2001,41(8):125-128 Jia H. F., Cheng S. T., Du W. T. Integration of GIS with the surface water quality model WASP5. Journal of Tsinghua University(Science and Technology), 2001, 41(8):125-128(in Chinese)
    [6] 马占青,崔广柏,杨宏杰,等.城市污水排放的灰色马尔柯夫预测模型.河海大学学报,2000,28(5):49-53 Mang Z. Q., Cui G. B., Yang H. J. ,et al. Grey markonian model for prediction of urban sewage drainage. Journal of Hohai University, 2000, 28(5): 49-53 (in Chinese)
    [7] 钱家忠,朱学愚,吴剑锋,等,矿井涌水量的灰色马尔可夫预报模型.煤炭学报,2000,25(1):71-75 Qian J. Z., Zhu X. R., Wu J. F., et al. Grey Markov Model for predicting mine discharge. Journal of China Coal Society, 2000, 25(1): 71-75(in Chinese)
    [8] 张永波,马祖宜,张庆保.城市水资源水环境系统多阶段灰色动态仿真模型.太原理工大学学报,1998,29(3):260-263 Zhang Y. B., Ma Z. Y., Zhang Q. B. Grey dynamic simulation model of the urban water resource-environment system. Journal of Taiyuan University of Technology, 1998, 29(3): 260-263 (in Chinese)
    [9] I. Benenson. A cellular automata for the simulation of competitive location. Computers, Environment and Urban Systems, 1998, 12(7): 699-174
    [10] Engelen G., White R., Paul D. Using cellular automata for integrated modeling of socio-environmental systems. Environmental Monitoring and Assesment, 1995, 34(2): 203-214
    [11] Almeida C.M., Gleriani J.M., Castejon E.F., et al. Using neural networks and cellular automata for modeling intra-urban land-use dynamics. International Journal of Geographical Information Science, 2008, 22(9): 943-963
    [12] Xie Y. A generalized model for cellular urban dynamics. Geographical Analysis, 1997, 28(4): 350-373
    [13] Balzter H., Braun P. W., Kohler W. Cellular automata models for vegetation dynamics. Ecol. Model., 1998, 107(2):113-125
    [14] Ligtenberg A., Bregt A.K., Lammeren R.V. Multi-actor-based land use modeling:Spatial planning using agents.Land Urban Plan,2001,56(1-2):21-33
    [15] Parker C., Manson S. M., Janssen M. A., et al. Multi-agent systems for the simulation of land-use and land cover change: A Review. Annals of the Association of American Geographers, 2003, 93(2):314-337
    [16] Bousquet F., Le Page C. Multi-agent simulations and ecosystem management: A review. Ecological Modelling, 2004, 176(3-4): 313-332
    [17] 程国建,颜宇甲,强新建,等.基于多Agent的生态复杂适应系统建模和仿真.西安石油大学学报(自然科学版),2011,26(2):99-103 Cheng G. J., Yan Y. J., Qiang X. J., et al. Modeling and simulation of the ecosystem based on multi-agent system. Journal of Xi’an Shiyou University(Natural Science), 2011, 26(2): 99-103 (in Chinese)
    [18] 黎夏,叶嘉安,刘小平,等.地理模拟系统:元胞自动机与多智能体.北京:科学出版社,2007
    [19] Niandry M., Raquel Q., Magdiel A., et al. Biocomplexity of deforestation in the Caparo tropical forest reserve in Venezuela: An integrated multi-agent and cellular automata model. Science Direct (Environmental Modelling & Software), 2007, 22(5): 664-673
    [20] 杨青生,黎夏.多智能体与元胞自动机结合及城市用地扩张模拟.地理科学,2007,27(4):542-548 Yang Q. S., Li X. Integration of multi-agent systems with cellular automata for simulating urban land expansion. Scientia Geographica Sinica, 2007, 27(4): 542-548 (in Chinese)
    [21] 黄秀兰.基于多智能体与元胞自动机的城市生态用地演变研究.长沙:中南大学硕士学位论文,2008
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  1467
  • HTML全文浏览数:  797
  • PDF下载数:  671
  • 施引文献:  0
出版历程
  • 收稿日期:  2013-12-14
  • 刊出日期:  2014-07-31
俞艳, 黄远君, 何建华, 吴浩. 基于CA-MAS的水域总有机碳扩散模拟研究[J]. 环境工程学报, 2014, 8(8): 3259-3264.
引用本文: 俞艳, 黄远君, 何建华, 吴浩. 基于CA-MAS的水域总有机碳扩散模拟研究[J]. 环境工程学报, 2014, 8(8): 3259-3264.
shu
Yu Yan, Huang Yuanjun, He Jianhua, Wu Hao. TOC diffusing simulation in water environment based on CA-MAS model[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3259-3264.
Citation: Yu Yan, Huang Yuanjun, He Jianhua, Wu Hao. TOC diffusing simulation in water environment based on CA-MAS model[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3259-3264.
shu

基于CA-MAS的水域总有机碳扩散模拟研究

  • 1.  武汉理工大学资源与环境工程学院, 武汉 430070
  • 2.  武汉大学资源与环境科学学院, 武汉 430079
  • 3.  武汉大学教育部地理信息系统重点实验室, 武汉 430079
  • 收稿日期:  2013-12-14
基金项目:

中央高校基本科研业务费专项资金项目（2012-IV-096）

中国博士后科学基金资助项目（2013M531749）

香江学者计划项目（XJ2012036）

摘要: 当前水环境污染扩散研究一般基于普通数值模型模拟，忽略了水污染扩散微观驱动力的影响。为能更真实地反映其动态扩散过程，针对水域总有机碳（TOC）扩散机理，基于CA和MAS技术，将影响TOC扩散的自然和社会经济因素抽象为微观的水流Agent、风速Agent、径流量Agent、污水排放口Agent、人工管理Agent以及农业生产地Agent，将研究水域抽象为CA元胞空间，建立了CA-MAS水域总有机碳扩散模型，对水域总有机碳的动态演化过程进行模拟，并以武汉理工大学鉴湖水域作为实验区域，借助NetLogo仿真平台完成了模型的实现与验证。模拟结果表明，该模型基本能够反映水体总有机碳的扩散规律，可以为水环境污染控制提供参考。

English Abstract

    全文HTML

参考文献 (21)

返回顶部

目录

/

返回文章
返回

Copyright © 2019 中国科学院生态环境研究中心