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Statistical analysis of the variability of reactive trace gases (SO2, NO2 and ozone) in Greater Cairo during dust storm events
Journal of Atmospheric Chemistry,
2023
DOI:10.1007/s10874-023-09449-4
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[2]
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Statistical analysis of the variability of reactive trace gases (SO2, NO2 and ozone) in Greater Cairo during dust storm events
Journal of Atmospheric Chemistry,
2023
DOI:10.1007/s10874-023-09449-4
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[3]
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Macro- and Microelements and Radionuclides in the Mussel Mytilus galloprovincialis from Recreational and Harbor Sites of the Crimean Peninsula (The Black Sea)
Hydrobiology,
2022
DOI:10.3390/hydrobiology1030022
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Development and Validation of an In Situ Groundwater Abstraction Sensor Network, Hydrologic Statistical Model, and Blockchain Trading Platform: A Demonstration in Solano County, California
ACS ES&T Water,
2022
DOI:10.1021/acsestwater.2c00214
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[5]
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Development and Validation of an In Situ Groundwater Abstraction Sensor Network, Hydrologic Statistical Model, and Blockchain Trading Platform: A Demonstration in Solano County, California
ACS ES&T Water,
2022
DOI:10.1021/acsestwater.2c00214
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[6]
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A comparison of statistical methods for evaluating missing data of monitoring wells in the Kazeroun Plain, Fars Province, Iran
Groundwater for Sustainable Development,
2020
DOI:10.1016/j.gsd.2019.100294
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Intelligent approach to predict future groundwater level based on artificial neural networks (ANN)
Euro-Mediterranean Journal for Environmental Integration,
2020
DOI:10.1007/s41207-020-00185-9
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[8]
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Assessment of Groundwater behavior in Kulpahar Watershed, District Mahoba, Uttar Pradesh, India
IOP Conference Series: Earth and Environmental Science,
2020
DOI:10.1088/1755-1315/597/1/012014
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[9]
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Sensitivity Analysis on the Rising Relation between Short-Term Rainfall and Groundwater Table Adjacent to an Artificial Recharge Lake
Water,
2019
DOI:10.3390/w11081704
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[10]
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Long-term trend analysis of water-level response to rainfall of Gulbarga watershed, Karnataka, India, in basaltic terrain: hydrogeological environmental appraisal in arid region
Applied Water Science,
2018
DOI:10.1007/s13201-018-0723-9
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[11]
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A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States
Water Resources Research,
2017
DOI:10.1002/2016WR019605
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[12]
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A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States
Water Resources Research,
2017
DOI:10.1002/2016WR019605
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[13]
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Geochemical processes and multivariate statistical analysis for the assessment of groundwater quality in the Swarnamukhi River basin, Andhra Pradesh, India
Environmental Earth Sciences,
2016
DOI:10.1007/s12665-015-5108-x
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[14]
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Seasonal Variation of Dissolved Methane Concentration and Flux in the Nakdong Estuary
The Sea,
2016
DOI:10.7850/jkso.2016.21.3.91
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[15]
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Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models
Hydrogeology Journal,
2015
DOI:10.1007/s10040-014-1204-3
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[16]
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A comparative study of shallow groundwater level simulation with WA–ANN and ITS model in a coastal island of south China
Arabian Journal of Geosciences,
2015
DOI:10.1007/s12517-014-1706-2
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[17]
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GIS-Based Statistical Analyses of Rainfall and Groundwater Depth Correlations in Thailand
World Environmental and Water Resources Congress 2015,
2015
DOI:10.1061/9780784479162.051
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[18]
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A wavelet neural network conjunction model for groundwater level forecasting
Journal of Hydrology,
2011
DOI:10.1016/j.jhydrol.2011.06.013
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