Spatio-Temporal Analysis of Water Quality Based on Gray Wolf Optimization and Support Vector Machines (GWO-SVM): A Case Study from Dongting Lake, China

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成果类型：

会议论文

作者：

Zhong-man Duan;Weizhen Ji;Yun Xue;Zhen Xi

作者机构：

[Weizhen Ji] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China

Hunan Provincial Key Laboratory of Remote Sensing, Monitoring of Ecological Environment in Dongting Lake Area, Changsha, Hunan, China

Hunan Provincial Natural Resources Affairs Center, Changsha, Hunan, China

[Zhong-man Duan] Hunan Provincial Key Laboratory of Remote Sensing, Monitoring of Ecological Environment in Dongting Lake Area, Changsha, Hunan, China<&wdkj&>Hunan Provincial Natural Resources Affairs Center, Changsha, Hunan, China

[Yun Xue] Hunan Provincial Key Laboratory of Remote Sensing, Monitoring of Ecological Environment in Dongting Lake Area, Changsha, Hunan, China<&wdkj&>School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China

语种：

英文

关键词：

Water quality assessment;Support vector machine;Gray wolf optimization algorithm;Dongting Lake

年：

2023

页码：

626-629

会议名称：

2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

会议论文集名称：

2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

会议时间：

14 July 2023

会议地点：

Guangzhou, China

出版者：

IEEE

ISBN：

979-8-3503-3719-8

DOI：

10.1109/ISPDS58840.2023.10235676

基金类别：

10.13039/501100004735-Hunan Provincial Natural Science Foundation (Grant Number: 2021JJ50155)

机构署名：

本校为第一机构

院系归属：

市政与测绘工程学院

摘要：

Water quality assessment is an essential part of water resource management. This paper presents a new GWO-SVM method for water quality assessment. Through comparison with GS-SVM and GA-SVM, we found that GWO-SVM model has the highest accuracy, the highest squared correlation and the lowest mean squared error when testing the three indexes of PI, TN and TP.The GWO-SVM model proposed in this paper was used to analyze the water quality data of Dongting Lake from 1993 to 2012. The results showed that: As far As the PI is concerned, the water quality is mainly in grade I and II, with the best water...

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Spatio-Temporal Analysis of Water Quality Based on Gray Wolf Optimization and Support Vector Machines (GWO-SVM): A Case Study from Dongting Lake, China

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