SHEN Yuxin, ZHANG Shuo, WU Lizhen, LU Jikun, FU Guanghui. Application of grey topological prediction model in water quality prediction of artificial reef area in Haizhou Bay[J]. South China Fisheries Science, 2020, 16(2): 77-86. DOI: 10.12131/20190171
Citation: SHEN Yuxin, ZHANG Shuo, WU Lizhen, LU Jikun, FU Guanghui. Application of grey topological prediction model in water quality prediction of artificial reef area in Haizhou Bay[J]. South China Fisheries Science, 2020, 16(2): 77-86. DOI: 10.12131/20190171

Application of grey topological prediction model in water quality prediction of artificial reef area in Haizhou Bay

More Information
  • Received Date: September 01, 2019
  • Revised Date: November 07, 2019
  • Accepted Date: January 10, 2020
  • Available Online: January 18, 2020
  • In this study, we applied residual modified GM (1,1) model and grey topological prediction method to establish water quality prediction models based on the monitoring data of dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD5) and dissolved inorganic nitrogen (DIN) of the artificial reef area in Haizhou Bay in spring (May) and autumn (October) of 2007−2017. Then we selected the model with higher accuracy to predict the variation trend of water concentration during 2018−2022. Finally, we verified the forecast results with the meaured data of 2018. The results indicate that the grey topological model has better prediction accuracy for water quality data than the residual correction GM (1,1). The predicted results are consistent with the actual values in 2018, so the model is reliable. According to the prediction results, the DO and COD can maintain good values in 2018−2022. It is shown that the construction of artificial reef has a certain restoration effect on the water environment of the sea area, but BOD5 and DIN have a risk of exceeding the standard; and  improvement of grey topology model should be further explored.

  • [1]
    LI L, JIANG P, XU H, et al. Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River[J]. Environ Sci Pollut Res Int, 2019, 26(19): 19879-19896. doi: 10.1007/s11356-019-05116-y
    [2]
    荣洁, 王腊春. 指数平滑法−马尔科夫模型在巢湖水质预测中的应用[J]. 水资源与水工程学报, 2013, 24(4): 98-102.
    [3]
    李如忠. 水质预测理论模式研究进展与趋势分析[J]. 合肥工业大学学报(自然科学版), 2006, 29(1): 26-30.
    [4]
    张沂华. 基于灰色拓扑的航班订座需求预测方法研究[D]. 天津: 中国民航大学, 2011: 11-21.
    [5]
    岳遥, 李天宏. 基于模糊集理论的马尔可夫模型在水质定量预测中的应用[J]. 应用基础与工程科学学报, 2011, 19(2): 231-242. doi: 10.3969/j.issn.1005-0930.2011.02.007
    [6]
    张颖, 高倩倩. 基于灰色模型和模糊神经网络的综合水质预测模型研究[J]. 环境工程学报, 2015, 9(2): 537-545. doi: 10.12030/j.cjee.20150207
    [7]
    张茜, 冯民权. 基于BP神经网络马尔科夫模型的漳泽水库水质预测[J]. 黑龙江大学工程学报, 2018, 9(2): 38-44.
    [8]
    张永良. 美国环保局的水质模型研究[J]. 环境科学研究, 1987(1): 50-60.
    [9]
    郭兰兰, 邹志红, 安岩. 基于残差修正的GM (1,1)模型在水质预测中的应用研究[J]. 数学的实践与认识, 2014, 44(19): 176-181.
    [10]
    刘思峰. 灰色系统理论及其应用[M]. 北京: 科学出版社, 2004: 104-150.
    [11]
    黄宏, 李大鹏, 张岩, 等. 海州湾海洋牧场人工鱼礁投放对营养盐的影响[J]. 环境科学学报, 2017, 37(8): 2854-2861.
    [12]
    XIONG P P, YAN W J, WANG G Z, et al. Grey extended prediction model based on IRLS and its application on smog pollution[J]. Appl Soft Comput, 2019, 80(1): 797-809.
    [13]
    邓聚龙. 灰预测与灰决策(修订版)[M]. 武汉: 华中科技大学出版社, 2002: 45-114.
    [14]
    张蕾, 王高旭, 郑道贤. 灰色关联分析在水质评价应用中的改进[J]. 广东水利水电, 2006(3): 32-33. doi: 10.3969/j.issn.1008-0112.2006.03.013
    [15]
    SHEN X J, YUE M H, DUAN P F, et al. Application of grey prediction model to the prediction of medical consumables consumption[J]. J Grey Syst, 2019, 9(2): 213-223.
    [16]
    张琼楠, 陈元芳, 顾圣华, 等. 优化的灰色拓扑模型在年径流预测中的应用[J]. 水电能源科学, 2014, 32(4): 22-25.
    [17]
    胡文斌, 杨昌智, 孙一坚. 短期供热负荷的灰色拓扑预测[J]. 煤气与热力, 1999(3): 51-54. doi: 10.3969/j.issn.1000-4416.1999.03.014
    [18]
    展卫红, 许祝华, 姜玲. 人工鱼礁建设对海州湾海域水质改善的作用分析[J]. 海洋开发与管理, 2016, 33(9): 104-108. doi: 10.3969/j.issn.1005-9857.2016.09.021
    [19]
    赵玉庭, 苏博, 李佳蕙, 等. 2013年春季莱州湾海域理化环境及水质状况分析[J]. 渔业科学进展, 2016, 37(4): 74-80. doi: 10.11758/yykxjz.20150822001
    [20]
    陈彦晖, 甘爱平. 灰色波形预测模型的改进及应用[J]. 统计与决策, 2016(6): 75-78.
    [21]
    邹煜星, 邓敏. 基于长时卷积深度网络的交通流预测方法[J]. 测绘与空间地理信息, 2019, 42(7): 131-133, 137. doi: 10.3969/j.issn.1672-5867.2019.07.038
    [22]
    邓洪高, 姚鹏远, 孙希延, 等. 灰色马尔科夫Verhulst动态模型在滑坡形变预测中的应用[J]. 科学技术与工程, 2019, 19(13): 50-55. doi: 10.3969/j.issn.1671-1815.2019.13.007
    [23]
    王雨晴, 宋戈. 城市土地利用综合效益评价与案例研究[J]. 地理科学, 2006, 26(6): 743-748. doi: 10.3969/j.issn.1000-0690.2006.06.017
    [24]
    赵新生, 孙伟富, 任广波, 等. 海州湾海洋牧场生态健康评价[J]. 激光生物学报, 2014, 23(6): 626-632. doi: 10.3969/j.issn.1007-7146.2014.06.020
    [25]
    符小明, 唐建业, 吴卫强, 等. 海州湾生态修复效果评价[J]. 大连海洋大学学报, 2017, 32(1): 93-98.
    [26]
    陈浩龙, 王瑞荣, 薛楚, 等. 钱塘江年极值高潮位的灰色拓扑预测[J]. 安徽农业科学, 2015, 43(32): 15-17. doi: 10.3969/j.issn.0517-6611.2015.32.005
  • Related Articles

    [1]DAI Yulai, WANG Yuxi, XU Baoqing, DAI Yangxin, LIN Qicun, CAI Lijuan. Study on acute toxicity and histopathology of copper sulfate, trichlorfon and povidone-iodine to GIFT tilapia (Oreochromis niloticus)[J]. South China Fisheries Science, 2023, 19(6): 116-126. DOI: 10.12131/20230093
    [2]HUANG Nanjian, CHEN Haigang, ZHANG Linbao, MA Shengwei, ZHANG Zhe, CAI Wengui, JIA Xiaoping. Acute toxicity of South China Sea LH crude oil and NO.0 diesel to three mariculture and multiplication organisms[J]. South China Fisheries Science, 2015, 11(2): 72-78. DOI: 10.3969/j.issn.2095-0780.2015.02.010
    [3]ZHANG Xincheng, ZHU Xinping, LIU Yihui, HONG Xiaoyou, HUANG Jiancheng, ZENG Minling. Acute toxicity of mebendazole, deltamethrin and copper sulphate to Alosa sapidissima[J]. South China Fisheries Science, 2015, 11(2): 66-71. DOI: 10.3969/j.issn.2095-0780.2015.02.009
    [4]LIU Tianhong, YU Xiaoqing, GUO Pingping, WANG Zhigang, WU Zhihong, SUN Yuanqin, SUN Fuxin, WANG Juan, MA Danping. Effect of different copper salts on acute toxicity and histomorphology of juvenile sea cucumbers[J]. South China Fisheries Science, 2014, 10(6): 58-65. DOI: 10.3969/j.issn.2095-0780.2014.06.008
    [5]YE Le, ZHAO Wang, WU Kaichang. Acute toxicity tests of three antiparasitic drugs to juvenile snail of Babylonia areolata[J]. South China Fisheries Science, 2014, 10(4): 22-26. DOI: 10.3969/j.issn.2095-0780.2014.04.004
    [6]ZHENG Weigang, LI Zhongbao, LI Wenjing, WU Ning. Acute toxicity of Hg2+ to 5 species of genus Anguilla elver[J]. South China Fisheries Science, 2011, 7(4): 16-23. DOI: 10.3969/j.issn.2095-0780.2011.04.003
    [7]SHI Gang, CHEN Gang, ZHANG Jiandong, HUANG Jiansheng, PAN Chuanhao, BAI Lirong. Acute toxicity of 4 aquatic medicines to Lutjanus rivulatus larva[J]. South China Fisheries Science, 2011, 7(3): 50-55. DOI: 10.3969/j.issn.2095-0780.2011.03.009
    [8]WU Xuan, YU Gang, BAI Dong-qing, ZHOU Wen-li. Acute toxic effects of four Chinese herb additives on white cloud mountain fish Tanichthrs altbonubes[J]. South China Fisheries Science, 2010, 6(2): 73-76. DOI: 10.3969/j.issn.1673-2227.2010.02.012
    [9]LI Wenjing, LI Zhongbao, ZHENG Weigang, WU Ning. Acute toxicity of phentriazophos on five species of genus Anguilla elver[J]. South China Fisheries Science, 2009, 5(6): 13-18. DOI: 10.3969/j.issn.1673-2227.2009.06.003
    [10]CHEN Jing, LIU Zhigang, LI Luoying, HE Yongchan. Acute toxicity of three drugs acting on nymph of Sipunculus nudus[J]. South China Fisheries Science, 2009, 5(1): 54-58. DOI: 10.3969/j.issn.1673-2227.2009.01.009
  • Cited by

    Periodical cited type(6)

    1. 赵晓晨,范利平,陈基培. 码头建设对感潮河段水生态影响研究. 水资源开发与管理. 2024(03): 36-41+63 .
    2. 吴湘香,王银平,张燕,吴凡,魏念,杨海乐,沈丽,朱挺兵,茹辉军,刘凯,段辛斌,倪朝辉,李云峰. 长江干流浮游动物群落结构及时空分布格局. 水产学报. 2023(02): 183-192 .
    3. 廖河庭,郑尧,王宁,安树伟,顾玲玲,陈家长. 苏北不同地区藕虾种养模式浮游生物群落结构特征分析. 中国农学通报. 2023(08): 156-164 .
    4. 洪陈聪,胡权,陈皓若,徐赛赛,张健,陈立婧. 青草沙水库后生浮游动物功能群特征及影响因子. 生物学杂志. 2023(05): 47-53 .
    5. 王鑫,李昌文,徐加涛,李士虎,宋可心,唐佳伟,马晓娜,冯志华. 灌河口海域水生动物群落结构及分布特征. 江苏海洋大学学报(自然科学版). 2023(04): 29-41 .
    6. 吴转璋,朱超,唐萍,杨晓冉,王欢,张付海. 巢湖湖区浮游动物群落结构及其水质评价. 能源环境保护. 2022(04): 109-116 .

    Other cited types(2)

Catalog

    Recommendations
    Influence of miniature temperature-depth recorder (tdr-2050) on hook depth of tuna longline fishing hooks
    SONG Liming et al., SOUTH CHINA FISHERIES SCIENCE, 2025
    Analysis of spatial distribution characteristics of zooplankton and its influence by environmental factors in northwest indian ocean
    YANG Jieqing et al., SOUTH CHINA FISHERIES SCIENCE, 2025
    Stock assessment ofthunnus alalungain indian ocean based on climate change factors
    YANG Shiyu et al., SOUTH CHINA FISHERIES SCIENCE, 2024
    Parametric modeling and application of gravity deepwater cage system
    WAN Chengyu et al., SOUTH CHINA FISHERIES SCIENCE, 2024
    Assessment of water availability in a river basin of india for changing climate
    Sambaran Jana et al., CONTEMPORARY ISSUES IN COMPUTING, 2020
    Study on the habitat suitability of south indian ocean albacore tuna based on the deep scattering layer
    WAN Shujie et al., JOURNAL OF FISHERY SCIENCES OF CHINA, 2025
    Unravelling the fractal complexity of temperature datasets across indian mainland
    Sankaran, Adarsh et al., FRACTAL AND FRACTIONAL, 2024
    More than marine heatwaves: a new regime of heat, acidity, and low oxygen compound extreme events in the gulf of alaska
    Hauri, Claudine et al., AGU ADVANCES, 2024
    Spatial variability and trend analysis of dust aerosols loading over indian sub-continent using merra 2 & calipso data
    GEOLOGY, ECOLOGY, AND LANDSCAPES, 2024
    Exploring water quality as a determinant of the existence of soft shell crab (scylla olivacea) in different habitats of the large marine ecosystem in the bay of bengal.
    WATER CONSERVATION AND MANAGEMENT, 2024
    Powered by
    Article views (5454) PDF downloads (25) Cited by(8)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return