Detalhe da pesquisa
1.
A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir.
J Environ Manage
; 288: 112415, 2021 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33774562
2.
Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling.
Toxics
; 11(12)2023 Nov 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-38133356
3.
Downstream Transport of Geosmin Based on Harmful Cyanobacterial Outbreak Upstream in a Reservoir Cascade.
Int J Environ Res Public Health
; 19(15)2022 07 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35954649
4.
Synthesis and applications of bismuth-impregnated biochars originated from spent coffee grounds for efficient adsorption of radioactive iodine: A mechanism study.
Environ Pollut
; 313: 120138, 2022 Nov 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-36089142
5.
Estimating the biodegradability of treated sewage samples using synchronous fluorescence spectra.
Sensors (Basel)
; 11(8): 7382-94, 2011.
Artigo
em Inglês
| MEDLINE | ID: mdl-22164023
6.
Multivariate analysis for spatial distribution of dissolved organic matters in a large river-type dam reservoir.
Environ Monit Assess
; 183(1-4): 425-36, 2011 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-21380922
7.
Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method.
Water Res
; 207: 117821, 2021 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34781184
8.
Spectroscopic distribution of dissolved organic matter in a dam reservoir impacted by turbid storm runoff.
Environ Monit Assess
; 133(1-3): 53-67, 2007 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-17286180