Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model
Abstract With the accelerated urbanization and economic development in Northwest China, the efficiency of urban wastewater treatment and the importance of water quality management have become increasingly significant. This work aims to explore urban wastewater treatment and carbon reduction mechanis...
Saved in:
Main Authors: | Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-83277-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impact assessment of wastewater on water quality using new quality indices and multiple linear regression
by: Florinela Pirvu, et al.
Published: (2024-12-01) -
Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
by: Juan Carlos Moreno Sánchez, et al.
Published: (2025-03-01) -
Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification
by: Mohammad Tabatabai, et al.
Published: (2024-12-01) -
Study on the synergistic effect of NOx and CO2 emission reduction in the industrial sector of Guangzhou
by: Xingcun Qin, et al.
Published: (2025-01-01) -
Organic Matter Removal from Piggery Wastewater in Waste Stabilisation Pond in Nigeria
by: Bu Okoro, et al.
Published: (2016-05-01)