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| Investigating the application of artificial intelligence for earthquake prediction in Terengganu 期刊论文 Natural Hazards, 2021, 卷号: 108, 期号: 1 作者: Marhain S.; Ahmed A.N.; Murti M.A.; Kumar P.; El-Shafie A.
 收藏  |  浏览/下载:68/0  |  提交时间:2021/09/01 Artificial intelligence Boosted decision tree regression Earthquake prediction Machine learning algorithm Multivariate adaptive regression spline Pearson correlation coefficient Random forest Support vector machine Uncertainty analysis |
| A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature 期刊论文 Natural Hazards, 2021 作者: Rahmani F.; Fattahi M.H.
 收藏  |  浏览/下载:223/0  |  提交时间:2021/09/01 Multifractal detrend fluctuation analysis (MF-DFA) Multifractal detrended cross-correlation analysis (MF-DXA) Pearson correlation coefficient Spearman rank correlation coefficient Standard precipitation index Streamflow drought index |
| Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data 期刊论文 , 2020, 卷号: 136 作者: Filippucci P.; Tarpanelli A.; Massari C.; Serafini A.; Strati V.; Alberi M.; Raptis K.G.C.; Mantovani F.; Brocca L.
 收藏  |  浏览/下载:36/0  |  提交时间:2020/07/28 Correlation methods Gamma ray spectrometers Gamma rays Global warming Irrigation Soil moisture Calibration methodologies Estimation techniques Gamma-ray spectroscopy Innovative approaches Pearson correlation Ray method Sm2rain Spatial and temporal resolutions Soil surveys estimation method gamma radiation irrigation soil moisture spatiotemporal analysis Emilia |
| Investigating relationship between drought severity in Botswana and ENSO 期刊论文 Natural Hazards, 2020, 卷号: 100, 期号: 1 作者: Byakatonda J.; Parida B.P.; Moalafhi D.B.; Kenabatho P.K.; Lesolle D.
 收藏  |  浏览/下载:218/0  |  提交时间:2021/09/01 Drought vulnerability Early warning El Niño Pearson’s correlation Standardized Precipitation Evaporation Index |
| A framework for setting up a country-wide network of regional surface PM2.5 sampling sites utilising a satellite-derived proxy – The COALESCE project, India 期刊论文 ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 234 作者: Lekinwala N.L.; Bhardwaj A.; Sunder Raman R.; Bhushan M.; Bali K.; Dey S.
 收藏  |  浏览/下载:24/0  |  提交时间:2022/01/18 COALESCE project Coefficient of divergence (CoD) MODIS aerosol Optical depth Mutual information (MI) Pearson correlation coefficient (PCC) Regionally representative PM2.5 sampling sites |