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基于GA-BP神经网络的页岩气开发区域水资源承载力研究

左朝晖 李绍康 杨津津 袁颖 李翔

左朝晖, 李绍康, 杨津津, 袁颖, 李翔. 基于GA-BP神经网络的页岩气开发区域水资源承载力研究[J]. 环境工程技术学报, 2021, 11(1): 194-201. doi: 10.12153/j.issn.1674-991X.20200081
引用本文: 左朝晖, 李绍康, 杨津津, 袁颖, 李翔. 基于GA-BP神经网络的页岩气开发区域水资源承载力研究[J]. 环境工程技术学报, 2021, 11(1): 194-201. doi: 10.12153/j.issn.1674-991X.20200081
ZUO Zhaohui, LI Shaokang, YANG Jinjin, YUAN Ying, LI Xiang. Research on water resources carrying capacity of shale gas development area based on GA-BP neural network[J]. Journal of Environmental Engineering Technology, 2021, 11(1): 194-201. doi: 10.12153/j.issn.1674-991X.20200081
Citation: ZUO Zhaohui, LI Shaokang, YANG Jinjin, YUAN Ying, LI Xiang. Research on water resources carrying capacity of shale gas development area based on GA-BP neural network[J]. Journal of Environmental Engineering Technology, 2021, 11(1): 194-201. doi: 10.12153/j.issn.1674-991X.20200081

基于GA-BP神经网络的页岩气开发区域水资源承载力研究

doi: 10.12153/j.issn.1674-991X.20200081
详细信息
    作者简介:

    左朝晖(1995—),男,硕士研究生,研究方向为环境与灾害地质,798460483@qq.com

    通讯作者:

    袁颖 E-mail: yuanyingson@163.com

    李翔 E-mail: lixiang@craes.org.cn

  • 中图分类号: X741

Research on water resources carrying capacity of shale gas development area based on GA-BP neural network

More Information
    Corresponding author: YUAN Ying E-mail: yuanyingson@163.com; LI Xiang E-mail: lixiang@craes.org.cn
  • 摘要: 以西南地区威远县为例,从社会、经济、生态、水资源和页岩气开发5个方面构建水资源承载力评价指标体系及分级标准,采用遗传算法(genetic algorithm,GA)优化BP (back propagation)神经网络,形成GA-BP神经网络组合模型,对研究区2014—2019年的水资源承载力状态进行评价。结果表明:使用GA-BP神经网络计算得到验证数据的最大相对误差为6.5%,期望输出与结果的相关系数为0.995 98。随着页岩气井群规模的增大,研究区水资源承载力指数总体上逐年降低,其中2014—2017年水资源承载力为可承载状态,2018—2019年为弱承载状态;水资源承载力指数主要影响指标为人均水资源量、页岩气的井群规模和万元工业增加值用水量等。

     

  • [1] 程涌, 陈国栋, 尹琼, 等. 中国页岩气勘探开发现状及北美页岩气的启示[J]. 昆明冶金高等专科学校学报, 2017,33(1):16-24.

    CHENG Y, CHEN G D, YIN Q, et al. Exploration and development status of shale gas in China and enlightenment from North American prosperous shale gas[J]. Journal of Kunming Metallurgy College, 2017,33(1):16-24.
    [2] 李建飞. 煤层气和页岩气开发对水资源影响的对比分析[J]. 煤炭经济研究, 2019,39(12):71-75.

    LI J F. Comparative analysis of the impact of coalbed methane and shale gas development on water resources[J]. Coal Economic Research, 2019,39(12):71-75.
    [3] 岳婷, 胡社荣, 彭纪超, 等. 页岩气勘探开发过程中的若干环境和生态问题[J]. 中国矿业, 2013,22(3):12-15.

    YUE T, HU S R, PENG J C, et al. Environmental and ecological problems in the process of shale gas’ exploration and development[J]. China Mining Magazine, 2013,22(3):12-15.
    [4] 马静, 李晓妹, 姜琳. 国外页岩气资源的开发和政策分析[J]. 现代矿业, 2012,27(8):144-147.

    MA J, LI X M, JIANG L. Development and policy analysis of foreign shale gas resources[J]. Morden Mining, 2012,27(8):144-147.
    [5] 徐国盛, 徐志星, 段亮, 等. 页岩气研究现状及发展趋势[J]. 成都理工大学学报(自然科学版), 2011,38(6):603-610.

    XU G S, XU Z X, DUAN L, et al. Research status and development trends of shale gas[J]. Journal of Chengdu University of Technology (Science & Technology Edition), 2011,38(6):603-610.
    [6] XIE X M, ZHANG T T, WANG M, et al. Impact of shale gas development on regional water resources in China from water footprint assessment view[J]. Science of the Total Environment, 2019,679:317-327.
    [7] FANG H Y, GAN S W, XUE C Y. Evaluation of regional water resources carrying capacity based on binary index method and reduction index method[J]. Water Science and Engineering, 2019,12(4):263-273.
    [8] LU Y L, HUANG Y Q, ZENG S Y, et al. Scenario based assessment and multi-objective optimization of urban development plan with carrying capacity of water system[J]. Frontiers of Environmental Science & Engineering, 2019,14(23):12.
    [9] MUNTHER J H. Water issue inhashemite Jordan[J]. Arab Study Quarterly, 2000,22(5):54-67.
    [10] 朱光磊, 赵春子, 朱卫红, 等. 基于生态足迹模型的吉林省水资源可持续利用评价[J]. 中国农业大学学报, 2020,25(9):131-143.

    ZHU G L, ZHAO C Z, ZHU W H, et al. Evaluation of sustainable water resources utilization in Jilin Province based on the ecological footprint model[J]. Journal of China Agricultural University, 2020,25(9):131-143.
    [11] 段春青, 刘昌明, 陈晓楠, 等. 区域水资源承载力概念及研究方法的探讨[J]. 地理学报, 2010,65(1):82-90.

    DUAN C Q, LIU C M, CHEN X N, et al. Discussion on the concept and research method of regional water resources carrying capacity[J]. Acta Geographica Sinica, 2010,65(1):82-90.
    [12] 余金龙, 尹亮, 鲍广强, 等. 基于BP神经网络的腾格里湖水环境承载力研究[J]. 中国农村水利水电, 2017(11):83-86.

    YU J L, YIN L, BAO G Q, et al. Research on water environmental carrying capacity of Tenggeli Lake based on BP neural networks[J]. China Rural Water and Hydropower, 2017(11):83-86.
    [13] 许莉, 赵嵩正, 杨海光. 水资源承载力的BP神经网络评价模型研究[J]. 计算机工程与应用, 2008(8):217-219.

    XU L, ZHAO S Z, YANG H G. Research on BP neural network model of performance appraisal for water resources carrying capacity[J]. Computer Engineering and Applications, 2008(8):217-219.
    [14] 郭晓英, 陈兴伟, 陈莹, 等. 基于粗糙集和BP神经网络组合法的水资源承载力动态变化分析[J]. 南水北调与水利科技, 2015,13(2):236-240.

    GUO X Y, CHEN X W, CHEN Y, et al. Dynamic variation analysis of water resources carrying capacity in Xiamen City based on rough set theory and BP neural network[J]. South-to-North Water Transfers and Water Science & Technology, 2015,13(2):236-240.
    [15] 冯湘华, 宋孝玉, 晁智龙. 淳化县水资源承载力预测评价[J]. 西安理工大学学报, 2018,34(4):447-453.

    FENG X H, SONG X Y, CHAO Z L. Evaluation of Chunhua County’s water resources carrying capacity prediction[J]. Journal of Xi’an University of Technology, 2018,34(4):447-453.
    [16] 张彦, 李明然, 李新德. GA-NN模型在保定市水环境承载力评价中的应用[J]. 南水北调与水利科技, 2019,17(5):131-138.

    ZHANG Y, LI M R, LI X D. Application of GA-NN model for evaluation of water environment carrying capacity in Baoding City[J]. South-to-North Water Transfers and Water Science & Technology, 2019,17(5):131-138.
    [17] 谢劭峰, 赵云, 李国弘, 等. GA-BP神经网络的GPS可降水量预测[J]. 测绘科学, 2020,45(3):33-38.

    XIE S F, ZHAO Y, LI G H, et al. Prediction of GPS perceptible water vapor based on GA-BP neural network[J]. Science of Surveying and Mapping, 2020,45(3):33-38.
    [18] 周星勇, 杨容浩, 王志胜, 等. 一种改进遗传神经网络的建筑基坑沉降预测模型[J]. 测绘工程, 2018,27(3):53-57.

    ZHOU X Y, YANG R H, WANG Z S, et al. An improved GA-BP network settlement prediction model of building foundation pit[J]. Engineering of Surveying and Mapping, 2018,27(3):53-57.
    [19] 张超群, 郑建国, 钱洁. 遗传算法编码方案比较[J]. 计算机应用研究, 2011,28(3):819-822.

    ZHANG C Q, ZHENG J G, QIAN J. Camparison of coding schemes for genetic algoritms[J]. Application Research of Computers, 2011,28(3):819-822.
    [20] 王友贞, 施国庆, 王德胜. 区域水资源承载力评价指标体系的研究[J]. 自然资源学报, 2005(4):597-604.

    WANG Y Z, SHI G Q, WANG D S. Research on evaluation index system of regional water resources carrying capacity[J]. Journal of Natural Resources, 2005(4):597-604.
    [21] 刘佳骏, 董锁成, 李泽红. 中国水资源承载力综合评价研究[J]. 自然资源学报, 2011,26(2):258-269.

    LIU J J, DONG S C, LI Z H. Comprehensive evaluation of China’s water resources carrying capacity[J]. Journal of Natural Resources, 2011,26(2):258-269.
    [22] 金菊良, 丁晶, 魏一鸣, 等. 区域水资源可持续利用系统评价的插值模型[J]. 自然资源学报, 2002(5):610-615.

    JIN J L, DING J, WEI Y M, et al. Interpolation model for regional water resources sustainable utilization system evaluation[J]. Journal of Natural Resources, 2002(5):610-615.
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出版历程
  • 收稿日期:  2020-09-22
  • 刊出日期:  2021-01-20

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