A Structurally Simplified Hybrid Model of Genetic Algorithm and Support Vector Machine for Prediction of Chlorophyll a in Reservoirs
With decreasing water availability as a result of climate change and human activities, analysis of the influential factors and variation trends of chlorophyll a has become important to prevent reservoir eutrophication and ensure water supply safety. In this paper, a structurally simplified hybrid mo...
Main Authors: | Jieqiong Su, Xuan Wang, Shouyan Zhao, Bin Chen, Chunhui Li, Zhifeng Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-04-01
|
Series: | Water |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4441/7/4/1610 |
Similar Items
-
Decline of N and P Uptake in the Inner Protection Zone of a Terminal Reservoir during Inter-Basin Water Transfers
by: Shengtian Yang, et al.
Published: (2018-02-01) -
Estimation of Rural Households’ Willingness to Accept Two PES Programs and Their Service Valuation in the Miyun Reservoir Catchment, China
by: Hao Li, et al.
Published: (2018-01-01) -
Machine Learning-Based Prediction of Chlorophyll-a Variations in Receiving Reservoir of World’s Largest Water Transfer Project—A Case Study in the Miyun Reservoir, North China
by: Zhenmei Liao, et al.
Published: (2021-09-01) -
Anaerobic methane-oxidizing bacterial communities in sediments of a drinking reservoir, Beijing, China
by: Yang Liu, et al.
Published: (2020-06-01) -
Prediction of chlorophyll a concentration using HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir
by: Dong-xing Fan, et al.
Published: (2014-01-01)