AU2021106540A4 - Prediction method and system for river algal blooms - Google Patents

Prediction method and system for river algal blooms Download PDF

Info

Publication number
AU2021106540A4
AU2021106540A4 AU2021106540A AU2021106540A AU2021106540A4 AU 2021106540 A4 AU2021106540 A4 AU 2021106540A4 AU 2021106540 A AU2021106540 A AU 2021106540A AU 2021106540 A AU2021106540 A AU 2021106540A AU 2021106540 A4 AU2021106540 A4 AU 2021106540A4
Authority
AU
Australia
Prior art keywords
concentration
chl
lag
influencing factors
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
AU2021106540A
Other languages
English (en)
Inventor
Yan Chen
Chengjian Liu
Chi Ma
Rui XIA
Lei ZOU
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chinese Research Academy of Environmental Sciences
Original Assignee
Chinese Research Academy of Environmental Sciences
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chinese Research Academy of Environmental Sciences filed Critical Chinese Research Academy of Environmental Sciences
Application granted granted Critical
Publication of AU2021106540A4 publication Critical patent/AU2021106540A4/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Algebra (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Genetics & Genomics (AREA)
  • General Health & Medical Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
AU2021106540A 2021-07-15 2021-08-23 Prediction method and system for river algal blooms Active AU2021106540A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110801002.0 2021-07-15
CN202110801002.0A CN113642268B (zh) 2021-07-15 2021-07-15 一种河流水华预测方法及系统

Publications (1)

Publication Number Publication Date
AU2021106540A4 true AU2021106540A4 (en) 2021-11-11

Family

ID=78417463

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2021106540A Active AU2021106540A4 (en) 2021-07-15 2021-08-23 Prediction method and system for river algal blooms

Country Status (2)

Country Link
CN (1) CN113642268B (zh)
AU (1) AU2021106540A4 (zh)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114564883B (zh) * 2022-02-11 2023-05-19 水利部交通运输部国家能源局南京水利科学研究院 融合机理与ML的湖泊叶绿素a短期集合预报方法及系统
CN114858221B (zh) * 2022-07-05 2022-09-09 中国长江三峡集团有限公司 一种基于水域营养状态预测的水华智能预警系统及方法
CN115659641B (zh) * 2022-10-26 2024-03-08 武汉大学 面向水华防控的水工程多目标优化调度方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678910B (zh) * 2013-12-12 2014-12-10 河海大学 河道型水库支流库湾水华的云体系架构预警系统及方法
US10290089B2 (en) * 2014-05-22 2019-05-14 The United States Of America, As Represented By The Administrator Of The U.S. Environmental Protection Agency Cyanobacteria assessment network
CN104699979B (zh) * 2015-03-24 2018-03-20 北京工商大学 基于复杂网络的城市湖库藻类水华混沌时间序列预测方法
CN109740877B (zh) * 2018-05-22 2023-04-11 中国环境科学研究院 一种分湖富营养化营养足迹指数评价方法
CN111382929A (zh) * 2020-02-26 2020-07-07 中国环境科学研究院 一种构建河流硅藻水华预警模型的方法及装置
CN111597758A (zh) * 2020-05-14 2020-08-28 河海大学 一种基于负相关学习的中小河流集成预报方法
CN112884197B (zh) * 2021-01-05 2022-08-16 福建省厦门环境监测中心站(九龙江流域生态环境监测中心) 一种基于双模型的水华预测方法和装置

Also Published As

Publication number Publication date
CN113642268A (zh) 2021-11-12
CN113642268B (zh) 2024-03-15

Similar Documents

Publication Publication Date Title
AU2021106540A4 (en) Prediction method and system for river algal blooms
CN110705743B (zh) 一种基于长短期记忆神经网络的新能源消纳电量预测方法
CN112884056A (zh) 基于优化的lstm神经网络的污水水质预测方法
CN111160520A (zh) 一种基于遗传算法优化的bp神经网络风速预测方法
CN108920812B (zh) 一种机械加工表面粗糙度预测方法
CN108764568B (zh) 一种基于lstm网络的数据预测模型调优方法及装置
CN111242380A (zh) 一种基于人工智能算法的湖(库)富营养化预测方法
CN106991493A (zh) 基于灰色神经网络组合模型的污水处理出水参数预测方法
CN111861013A (zh) 一种电力负荷预测方法及装置
CN113344288B (zh) 梯级水电站群水位预测方法、装置及计算机可读存储介质
CN106570592A (zh) 基于人工神经网络的智能化数值预报订正系统
CN109408896B (zh) 一种污水厌氧处理产气量多元智能实时监控方法
CN116484747A (zh) 一种基于自适应优化算法与深度学习的污水智能监控方法
CN110991616B (zh) 一种基于删减型前馈小世界神经网络出水bod预测方法
CN112767692A (zh) 基于SARIMA-GA-Elman组合模型的短时交通流量预测系统
Zhang et al. Effluent Quality Prediction of Wastewater Treatment System Based on Small-world ANN.
CN111310974A (zh) 一种基于ga-elm的短期需水预测方法
CN110659775A (zh) 一种基于lstm改进的电力短时负荷预测算法
CN116522747A (zh) 一种两阶段优化的挤压铸造工艺参数优化设计方法
Campbell et al. A novel approach to wind forecasting in the United Kingdom and Ireland
CN111177971A (zh) 一种污泥体积指数分布式软测量方法
CN113050567B (zh) 一种智能制造系统动态调度方法
CN116738874B (zh) 基于Multi-Agent PPO强化学习的闸泵群联合优化调度方法
Liu et al. Neural network identification of wastewater treatment plants
Yan et al. The modeling of petrochemical wastewater activated sludge system and water quality forecast based on neural network

Legal Events

Date Code Title Description
FGI Letters patent sealed or granted (innovation patent)