Simplification of Water Quality Classification in Beijing, Tianjin and Hebei Based on K-nearest Neighbor Algorithm
- https://doi.org/10.2991/assehr.k.211209.556How to use a DOI?
- k-nearest neighbor; water quality classification; water quality predict
This paper repeated experiments for many times, and simplified the original five water quality categories into two categories, based on the samples of water quality monitoring in Beijing Tianjin Hebei Haihe River Basin. Based on water quality classification, the three most obvious variables of stratification: turbidity, total phosphorus and total nitrogen are selected. The k-nearest neighbor method is used to predict the classification results of the test set, and the accuracy is about 75%.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - ZIYI ZHU PY - 2021 DA - 2021/12/15 TI - Simplification of Water Quality Classification in Beijing, Tianjin and Hebei Based on K-nearest Neighbor Algorithm BT - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) PB - Atlantis Press SP - 3423 EP - 3426 SN - 2352-5428 UR - https://doi.org/10.2991/assehr.k.211209.556 DO - https://doi.org/10.2991/assehr.k.211209.556 ID - ZHU2021 ER -