AU2021106540A4 - Prediction method and system for river algal blooms - Google Patents
Prediction method and system for river algal blooms Download PDFInfo
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability 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)
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)
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)
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 |
-
2021
- 2021-07-15 CN CN202110801002.0A patent/CN113642268B/zh active Active
- 2021-08-23 AU AU2021106540A patent/AU2021106540A4/en active Active
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) |