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 |
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
|
[1] | ZHAO Lianling, LIU Huaxue, RAO Yiyong, LIAO Xiuli, DAI Ming, HUANG Honghui. Seawater quality assessment method based on improved grey relational degree clustering: a case study of Daya Bay[J]. South China Fisheries Science, 2024, 20(1): 141-150. DOI: 10.12131/20230031 |
[2] | ZHOU Xihan, WU Qia'er, ZHOU Yanbo, XIE Enge, MA Shengwei. Prediction of abundance of Sthenoteuthis oualaniensis in South China Sea based on optimized grey system model[J]. South China Fisheries Science, 2021, 17(3): 1-7. DOI: 10.12131/20200218 |
[3] | LI Ting, ZHU Changbo, LI Junwei, CHEN Suwen, XIE Xiaoyong, LIU Yong. Water quality assessment for Hailing Bay estuary, China[J]. South China Fisheries Science, 2018, 14(3): 49-57. DOI: 10.3969/j.issn.2095-0780.2018.03.006 |
[4] | MO Baolin, QIN Chuanxin, CHEN Pimao, DIAO Yingjiao, YUAN Huarong, LI Xiaoguo, TONG Fei, FENG Xue. Preliminary analysis of structure and function of Daya Bay ecosystem based on Ecopath model[J]. South China Fisheries Science, 2017, 13(3): 9-19. DOI: 10.3969/j.issn.2095-0780.2017.03.002 |
[5] | SU Li, HUANG Zirong, CHEN Zuozhi. Characteristics of phytoplankton community in Shuidong Bay in spring and autumn[J]. South China Fisheries Science, 2015, 11(4): 27-33. DOI: 10.3969/j.issn.2095-0780.2015.04.004 |
[6] | YU Ying, JIANG Linlin, ZHONG Shuoliang. Residual characteristics of PCBs in ecological environment of Dongshan Bay in Fujian Province[J]. South China Fisheries Science, 2014, 10(1): 64-70. DOI: 10.3969/j.issn.2095-0780.2014.01.010 |
[7] | LIU Qun, XU Binduo, REN Yiping. Prediction of freshwater aquaculture production of Qingdao city by using a grey prediction model[J]. South China Fisheries Science, 2009, 5(5): 38-43. DOI: 10.3969/j.issn.1673-2227.2009.05.007 |
[8] | LI Xu-jie, REN Yi-ping, XU Bin-duo, MA Guang-wen. The growth characteristics of Penaeus japonicus in the Guzhenkou Bay of Qingdao[J]. South China Fisheries Science, 2008, 4(4): 26-29. |
[9] | LIN Lin, LI Chunhou, DU Feiyan, DAI Ming, HUANG Honghui. GIS-based comprehensive assessment of marine ecological environment quality in Daya Bay[J]. South China Fisheries Science, 2007, 3(5): 19-25. |
[10] | LU Zhenbin, CAI Qinghai, ZHANG Xuemin. Estimation of the aquaculture pollution to water body in Tongan Bay[J]. South China Fisheries Science, 2007, 3(1): 54-61. |
1. |
江满菊,郭禹,秦传新,辛益,赵心冉,于刚,马振华,杨育凯. 红鳍笛鲷幼鱼对不同开孔形状和尺寸人工鱼礁模型的行为偏好探究. 南方水产科学. 2024(05): 42-52 .
![]() | |
2. |
曾钰,肖曲,陶佳,高雯媛,张翔宇. 基于人工神经网络构建湖南省企业重金属废水预测模型研究. 科技资讯. 2024(24): 202-204 .
![]() | |
3. |
马晓霞. 地下水水环境中的非突发性水质风险预测模型研究. 环境科学与管理. 2022(08): 181-185 .
![]() | |
4. |
徐文哲,朱丽梅,范海莉,王增远,周翠兰. 基于神经网络算法的造纸生产线废水处理水质预测. 造纸科学与技术. 2022(02): 39-43 .
![]() |