Innovative and polygonal trend analyses applications for rainfall data in Vietnam
It is a known fact that the size, frequency, and spatial variability of hydrometeorological
variables will irregularly increase under the impact of climate change. Among the …
variables will irregularly increase under the impact of climate change. Among the …
[HTML][HTML] Observed trends and variability of temperature and precipitation and their global teleconnections in the Upper Indus Basin, Hindukush-Karakoram-Himalaya
Having an extreme topography and heterogeneous climate, the Upper Indus Basin (UIB) is
more likely to be affected by climate change and it is a crucial area for climatological studies …
more likely to be affected by climate change and it is a crucial area for climatological studies …
Appraisal of groundwater quality with human health risk assessment in parts of Indo-Gangetic alluvial plain, North India
S Shukla, A Saxena - Archives of Environmental Contamination and …, 2021 - Springer
Groundwater contamination in the Indo-Gangetic alluvial plain has reportedly been affected
by various factors, such as mineral dissolution, overexploitation, precipitation, and ion …
by various factors, such as mineral dissolution, overexploitation, precipitation, and ion …
Drought modeling using classic time series and hybrid wavelet-gene expression programming models
The standardized precipitation evapotranspiration index (SPEI) at three different time scales
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …
Long-term temperature trend analysis associated with agriculture crops
Temperature is one of the most significant elements in climate and weather forecasting.
There was an increase in the earth's surface (land and ocean) temperature by 0.6±0.2° C …
There was an increase in the earth's surface (land and ocean) temperature by 0.6±0.2° C …
Trend analysis of rainfall pattern over the Central India during 1901–2010
In the present study, trends of rainfall of the Central India were evaluated in monthly,
seasonal, and annual time scales using the Revised Mann-Kendall (RMK) test, Sen's slope …
seasonal, and annual time scales using the Revised Mann-Kendall (RMK) test, Sen's slope …
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors
Air temperature modelling is a paramount task for practical applications such as agricultural
production, designing energy-efficient buildings, harnessing of solar energy, health-risk …
production, designing energy-efficient buildings, harnessing of solar energy, health-risk …
A new method for joint frequency analysis of modified precipitation anomaly percentage and streamflow drought index based on the conditional density of copula …
In this study, a new method was proposed to model the occurrence of related variables
based on the conditional density of copula functions. The proposed method was adopted to …
based on the conditional density of copula functions. The proposed method was adopted to …
Prediction of groundwater level in Ardebil plain using support vector regression and M5 tree model
The Ardebil plain, which is located in northwest Iran, has been faced with a recent and
severe decline in groundwater level caused by a decrease of precipitation, successive long …
severe decline in groundwater level caused by a decrease of precipitation, successive long …
Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran
Temperature and precipitation are the basic elements of climate, and their variation can
change the water demands of different uses. In this study, the trend of temperature and …
change the water demands of different uses. In this study, the trend of temperature and …