Evaluation of eutrophication by satellite remote sensing based on machine learning: A case study of Huancheng River in Hefei

doi:10.3969/j.issn.1000-5641.2024.01.001

Abstract

Abstract:

Taking Huancheng River in Hefei City as the study site, machine learning models such as linear regression, random forest, support vector regression, and lasso regression were utilized to establish the relationship between Landsat8 satellite data and water quality parameters, model the reflectance and water quality parameters of remote sensing image values, and compare the performance of four different models. Results showed that the random forest model performed best, and the accuracy of the inversion models for total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH₃-N) was above 0.7. The concentration distribution map of water quality parameters showed that the pollution of TN and TP was the most significant in the northeast section of Huancheng River, while NH₃-N was most present in the southwest section. The water eutrophication distribution map shows that the water body in the eastern section of the Huancheng River showed a moderate nutrition state.

Key words: machine learning, Landsat8, eutrophication evaluation

CLC Number:

X824

Yong ZHANG, Hui WANG, Chuanhua ZHU, Hao ZHOU, Yu ZHAN, Can LI, Yifan XIAO, Lili YANG, Jiaqi LIU. Evaluation of eutrophication by satellite remote sensing based on machine learning: A case study of Huancheng River in Hefei[J]. Journal of East China Normal University(Natural Science), 2024, 2024(1): 1-8, 112.

Figures/Tables 10

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水质参数	R²				MSE
水质参数	线性回归	随机森林	支持向量回归	套索回归	线性回归	随机森林	支持向量回归	套索回归
TN	–1147.4	0.971	–1.122	0.69	54422.29	1.39	100.56	14.79
TP	–1512.3	0.978	0.475	–0.23	236.52	0.01	0.08	0.19
NH₃-N	–484.6	0.910	–1.488	0.285	9917.83	1.84	50.81	14.60

反演模型	类型	公式	R²	MSE
TN	线性	y = 0.9652 x + 3.5371	0.8877	80.82
TP	线性	y = 1.2057 x + 0.2063	0.7475	0.28
NH₃-N	线性	y = 1.0840 x + 0.0537	0.7485	5.43

评分值M	富营养程度
M<30	贫营养
30≤M≤50	中营养
50<M≤60	轻营养
60<M≤70	中度富营养
M>70	重度富营养

位置点号	TN /(mg·L^–1)	TP /(mg·L^–1)	NH₃-N /(mg·L^–1)	评分值 M	评价结果
1	5.71	0.40	5.17	50.00	中营养
2	3.15	0.13	3.67	53.33	轻度富营养
3	5.93	0.23	2.61	53.33	轻度富营养
4	6.41	0.57	3.68	53.33	轻度富营养
5	2.36	0.29	0.78	50.00	中营养
6	4.24	0.32	0.59	70.00	中度富营养
7	16.18	1.07	0.85	70.00	中度富营养
8	18.47	1.11	0.91	70.00	中度富营养
9	13.07	0.90	0.21	70.00	中度富营养
10	11.62	0.50	0.06	40.00	中营养

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