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Utilizing artificial intelligence techniques for soil depth prediction and its influences in landslide hazard modeling
Soil depth plays a pivotal role in determining hillslope stability, understanding hydrogeology, promoting optimal vegetation growth, and...
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An analysis framework for stationary and nonstationary sediment load frequency in a changing climate
Non-stationary sediment load analysis is critical for river engineering design and water resource management. Traditional sediment load frequency...
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Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data
Slope failures possess destructive power that can cause significant damage to both life and infrastructure. Monitoring slopes prone to instabilities...
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Vector-valued Gaussian processes on non-Euclidean product spaces: constructive methods and fast simulations based on partial spectral inversion
Gaussian processes are popular in spatial statistics, data mining and machine learning because of their versatility in quantifying spatial...
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Selecting Optimal Multi-species Corridor Networks with Travel-distance, Path-redundancy, and Budget Constraints
The fragmentation of natural environments, generally a consequence of human activity, is one of the main threats to biodiversity. The conservation or...
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Identification of hydraulic conductivity and groundwater contamination sources with an Unscented Kalman Smoother
The identification of groundwater contamination sources (IGCSs) is an important requirement for the remediation and treatment of groundwater...
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Probabilistic simulation of hydraulic jump in a riverbed in presence and absence of stilling basin
This study examines how the variability of the Manning coefficient ( n ) affects the position of hydraulic jumps downstream of hydraulic structures....
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Statistical Analysis of Spatial Distribution of Ambient Air Pollution in Addis Ababa, Ethiopia
Ambient air pollution has recently emerged as a major global public health issue, causing a variety of negative health impacts even at the lowest...
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Enhancing the reliability of hydrological simulations through global weather data assimilation in watersheds with limited data
Hydrological models are critical for water resources planning and management. The precision and reliability of the simulations hinge greatly on the...
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Traffic flows time series in a flood-prone area: modeling and clustering on extreme values with a spatial constraint
Time series of traffic flows, extracted from mobile phone origin–destination data, are employed for monitoring people crowding and mobility in areas...
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A Nonlinear Programming Model for Long-Term Planning of Municipal Solid Waste Management Systems: The Desire for Global Optima
Long-term planning of municipal solid waste management systems (LPMSWMS) is a multi-layered problem that seeks answers to different decisions (i.e.,...
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Urban Heat Island From A 3d Modeling Perspective—A Review
The number of studies on the urban heat island has been increasing in recent years. Developments in geospatial analytics, especially in recent years,...
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Identification of groundwater pollution sources based on optimal layout of groundwater pollution monitoring network
The accuracy of pollution source identification significantly depends on the amount of effective information derived from monitoring data. Currently,...
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The Impact of Export Concentration on the Ecological Footprint in the European Union
This study aims to evaluate the impact of export product concentration on the ecological footprint in the European Union between 1995 and 2018, using...
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Integrated analysis of distribution characteristics, controlling factors, source apportionment, and potential remediation requirements of Pb in a typical karst region
This study focuses on the potential quantity of soil lead (Pb) remediation in a typical karst region of China, an area where previous research on the...
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A Bayesian hierarchical spatio-temporal model for summer extreme temperatures in Spain
A statistical study was made of the summer extreme temperatures over peninsular Spain in the last forty years. Records from 158 observatories...
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The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
In the field of data engineering in machine learning (ML), a crucial component is the process of scaling, normalization, and standardization. This...
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Assessment and driving factor analysis of total nitrogen loads: a case study of counties from 2000 to 2020 in Henan Province, China
China’s unsustainable agricultural production activities have caused severe agricultural non-point source pollution (ANPSP), particularly nitrogen...
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Fractional entropy-based models for S-type velocity distributions in turbulent open-channel flows and turbulent Couette flows
This study proposes the foremost application of the entropy concept to investigate the streamwise S-type mean velocity distribution with...
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Improving future drought predictions – a novel multi-method framework based on mutual information for subset selection and spatial aggregation of global climate models of precipitation
Selecting appropriate Global Climate Models (GCMs) presents a significant challenge for accurate climate projections. To address this, a novel...
