Search
Search Results
-
A Non-parametric Discrete Fracture Network Model
A discrete fracture network (DFN) model based on non-parametric kernel density estimators (KDE) and directional-linear statistics is developed. The...
-
Geostatistical analysis of groundwater levels in a mining area with three active mines
Mining activities can significantly impact groundwater reservoirs in their vicinity. Different approaches have been employed, with varying success,...
-
-
Foreign Investment, International Trade and Environmental Sustainability: Exploring Ecological Footprints in 37 African Countries
This study complements existing literature by examining the short-run heterogeneous and long-run homogeneous impacts of foreign direct investment...
-
A partition-enhanced least-squares collocation approach (PE-LSC)
We present a partition-enhanced least-squares collocation (PE-LSC) which comprises several modifications to the classical LSC method. It is our goal...
-
A spatial copula interpolation in a random field with application in air pollution data
Interpolating a skewed conditional spatial random field with missing data is cumbersome in the absence of Gaussianity assumptions. Copulas can...
-
Identifying the source types of the seismic events using discriminant functions and tree-based machine learning algorithms at Soma Region, Turkey
In Soma Region, located in the western part of Turkey, both tectonic and anthropogenic source type of events are identified in earthquake catalogues...
-
Spatial analysis of seasonal precipitation using various interpolation methods in the Euphrates basin, Turkey
It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology,...
-
Stochastic Local Interaction Model: An Alternative to Kriging for Massive Datasets
Classical geostatistical methods face serious computational challenges if they are confronted with large spatial datasets. The stochastic local...
-
Mining subsidence monitoring using distributed scatterers InSAR based on Goldstein filter and Fisher information matrix-weighted optimization
Due to the shortcomings of traditional interferometric synthetic aperture radar (InSAR) technologies in mining subsidence monitoring, such as a low...
-
Joint Model of Wind Speed and Corresponding Direction Based on Wind Rose for Wind Energy Exploitation
As a common and extensive datum to analyze wind, wind rose is one of the most important components of the meteorological elements. In this study, a...
-
Regional application of generalized regression neural network in ionosphere spatio-temporal modeling and forecasting
We propose using the generalized regression neural network (GRNN) method for spatio-temporal modeling of ionosphere total electron content (TEC). The...
-
Rock ty** and uncertainty assessment in geological and petrophysical properties by integrating electrofacies, hydraulic flow units, and geostatistical techniques in the Kangan gas field, Zagros basin
The structural complexities of hydrocarbon reservoirs make it difficult to correlate geological and petrophysical properties. A successful field...
-
RETRACTED ARTICLE: Slope rainfall environment characteristics based on target tracking algorithm and economic efficiency of green city
With the rapid development of China’s economic construction, large-scale infrastructure construction has been carried out in the slope area. However,...
-
A Novel Magnetic Interpretational Perspective on Charmaleh Iron Deposit Through Improved Edge Detection Techniques and 3D Inversion Approaches
Edge detection is an important part of interpreting potential field geophysics data. It helps better recognition of magnetic anomaly features such as...
-
Distribution and characteristics of shallow landslides triggered by the 2018 Mw 7.5 Palu earthquake, Indonesia
At 10:02 (UTC) on September 28, 2018, an Mw 7.5 earthquake struck the Palu area of Sulawesi Island, Indonesia. This earthquake (hereinafter called...
-
Amplified risk of compound heat stress-dry spells in Urban India
Compound warm-dry spells over land, which is expected to occur more frequently and expected to cover a much larger spatial extent in a warming...
-
WAVERYS: a CMEMS global wave reanalysis during the altimetry period
As part of the Copernicus Marine Service, WAVERYS is the multi-year wave reanalysis that provides global wave data with a fine grid resolution of...
-
Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches
India, a topographically and meteorologically rich country, has a vast range of rainfall variability. The impacts could be realized across various...
-
Improving spatial estimation of hydrologic attributes via optimized moving search strategies
The anisotropy and directional variation of spatial attributes is one of the most important challenges in spatial estimation of environmental...
