A genetic programming-based model for predicting phosphorus concentration in shallow lakes

被引：1

作者：

Bai, Yu ^{[1
]}

Yang, Jianquan ^{[2
]}

Sun, Guojin ^{[1
]}

Zhao, Yufeng ^{[1
]}

Yu, Yu ^{[1
]}

机构：

[1] Zhejiang Univ Water Resources & Elect Power, Hangzhou 310000, Zhejiang, Peoples R China

[2] Natl Water Museum China, Hangzhou, Peoples R China

来源：

WATER PRACTICE AND TECHNOLOGY | 2022年 / 17卷 / 03期

关键词：

genetic programming-based model; shallow lakes; temperature; total phosphorus; wind speed; TAIHU LAKE; PARTICULATE PHOSPHORUS; AQUATIC SEDIMENTS; WATER INTERFACE; RELEASE; NITROGEN; DYNAMICS; EUTROPHICATION; TEMPERATURE; CYANOBACTERIA;

D O I：

10.2166/wpt.2022.023

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

In this study, a large amount of lake monitoring data was collected and genetic programming, a machine learning technique based on natural selection, was used to search for a robust relationship between phosphorus concentration, wind speed and water temperature. No forms were specified before searching but a new prediction formula was obtained. The formula can provide acceptable simulation accuracy and a theoretical reference for water environment management in shallow lakes or reservoirs.

引用

页码：637 / 644

页数：8

共 50 条

[31] A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows
Liu, Meng-Yang
Huai, Wen-Xin
Yang, Zhong-Hua
Zeng, Yu-Hong
ADVANCES IN WATER RESOURCES, 2020, 140
[32] Genetic Programming With Mixed-Integer Linear Programming-Based Library Search
Quang Nhat Huynh
Chand, Shelvin
Singh, Hemant Kumar
Ray, Tapabrata
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2018, 22 (05) : 733 - 747
[33] Genetic Programming-Based Ordinary Kriging for Spatial Interpolation of Rainfall
Adhikary, Sajal Kumar
Muttil, Nitin
Yilmaz, Abdullah Gokhan
JOURNAL OF HYDROLOGIC ENGINEERING, 2016, 21 (02)
[34] A Genetic Programming-Based Imputation Method for Classification with Missing Data
Cao Truong Tran
Zhang, Mengjie
Andreae, Peter
GENETIC PROGRAMMING, EUROGP 2016, 2016, 9594 : 149 - 163
[35] An Evaluation of DNA Barcoding Using Genetic Programming-Based Process
Zamani, Masood
Chiu, David K. Y.
LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, 2010, 6330 : 298 - 306
[36] Linear Genetic Programming-Based Controller for Space Debris Retrieval
Gregson, E.
Seto, M. L.
2020 4TH INTERNATIONAL CONFERENCE ON AUTOMATION, CONTROL AND ROBOTS (ICACR 2020), 2020, : 112 - 121
[37] Genetic programming-based decision trees for software quality classification
Khoshgoftaar, TM
Liu, Y
Seliya, N
15TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2003, : 374 - 383
[38] FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery
Carmona, C. J.
Gonzalez, P.
del Jesus, M. J.
PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 447 - 454
[39] Identification of nonlinear systems by the genetic programming-based Volterra filter
Yao, L.
Lin, C. -C.
IET SIGNAL PROCESSING, 2009, 3 (02) : 93 - 105
[40] A genetic programming-based approach to the classification of multiclass microarray datasets
Liu, Kun-Hong
Xu, Chun-Gui
BIOINFORMATICS, 2009, 25 (03) : 331 - 337

← 1 2 3 4 5 →