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| A review of modelling methodologies for flood source area (FSA) identification 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 2
作者: Singh A.; Dawson D.; Trigg M.; Wright N.
  收藏 | 浏览/下载：25/0 | 提交时间：2021/09/01
Adaptation Flood source areas Flood sources identification Flooding Hydrological modelling Unit flood response Variable source areas |
| Levels of polychlorinated biphenyls (PCBs) in honeybees and bee products and their evaluation with ambient air concentrations 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244
作者: Sari M.F.; Esen F.; Tasdemir Y.
收藏 | 浏览/下载：38/0 | 提交时间：2022/01/18
Biomonitoring PCBs Pollen/air partitioning POPs Sources identification |
| Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms 期刊论文
, 2020, 卷号: 138
作者: Zhao Y.; Qu R.; Xing Z.; Lu W.
收藏 | 浏览/下载：27/0 | 提交时间：2020/07/28
Contamination Efficiency Genetic algorithms Groundwater Groundwater pollution Heuristic algorithms Knowledge acquisition Learning algorithms Machine learning Modular robots Particle swarm optimization (PSO) Quantum computers Contaminant concentrations Contaminant sources Extreme learning machine Groundwater contaminants Heuristic optimization algorithms Heuristic search algorithms Source characteristics Traditional genetic algorithms Computational efficiency accuracy assessment genetic algorithm groundwater pollution identification method machine learning optimization reliability analysis surrogate method |
| PM2.5 Humic-like substances over Xi'an, China: Optical properties, chemical functional group, and source identification 期刊论文
, 2020, 卷号: 234
作者: Zhang T.; Shen Z.; Zhang L.; Tang Z.; Zhang Q.; Chen Q.; Lei Y.; Zeng Y.; Xu H.; Cao J.
收藏 | 浏览/下载：27/0 | 提交时间：2020/07/28
Elementary particle sources Fourier transform infrared spectroscopy Spectrometers Chemical functional groups Chemical group Dispersive distribution Fine particulate matter (PM2.5) Humic-like substances Secondary organic aerosols Source identification UV-vis spectrometer Optical properties chemical property FTIR spectroscopy humic substance optical property particulate matter source identification urban atmosphere China Shaanxi Xian |
| Intensive optical parameters of pollution sources identified by the positive matrix factorization technique 期刊论文
, 2020, 卷号: 244
作者: Romano S.; Vecchi R.; Perrone M.R.
收藏 | 浏览/下载：29/0 | 提交时间：2020/07/28
Bayesian networks Factorization Matrix algebra Nephelometers Optical variables control Pollution Reliability analysis Sulfur compounds Ammonium sulphate Asymmetry parameter Intensive parameters Mass scattering efficiency Optical parameter Pm10 mass concentrations Pollution sources Positive Matrix Factorization Parameter estimation air quality atmospheric pollution backscatter concentration (composition) factor analysis matrix numerical model particulate matter pollutant source pollution monitoring source identification |
