Proxy-based Bayesian inversion of strain tensor data measured during well tests

S Roudini, LC Murdoch, M Shojaei, S DeWolf - Geomechanics for Energy …, 2023 - Elsevier
Recent instrument developments have made it possible to measure the strain tensor caused
by injecting or pumping fluid from aquifers or reservoirs, but the full value of these data is …

Flood risk cascade analysis and vulnerability assessment of watershed based on Bayesian network

W Zhang, G Liu, JC Chiaka, Z Yang - Journal of Hydrology, 2023 - Elsevier
Under the dual impact of climate change and accelerated urbanization, urban flood
disasters are frequent, resulting in severe losses, and there has been widespread concern …

An ensemble forecast of semi‐arid rainfall using large‐scale climate predictors

B Choubin, A Malekian, S Samadi… - Meteorological …, 2017 - Wiley Online Library
ABSTRACT A case study examining ensemble forecasts of semi‐arid seasonal precipitation
is presented. The focus is on computing an appropriate correlation between large‐scale …

Bayesian model averaging with fixed and flexible priors: Theory, concepts, and calibration experiments for rainfall‐runoff modeling

S Samadi, M Pourreza‐Bilondi, C Wilson… - Journal of Advances …, 2020 - Wiley Online Library
This paper introduces for the first time the concept of Bayesian model averaging (BMA) with
multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model …

High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks

R Colacicco, A Refice, R Nutricato, F Bovenga… - Remote Sensing, 2024 - mdpi.com
High-resolution flood monitoring can be achieved relying on multi-temporal analysis of
remote sensing SAR data, through the implementation of semi-automated systems …

Comparison of seven simple loss models for runoff prediction at the plot, hillslope and catchment scale in the semiarid southwestern US

G Schoener, MC Stone, C Thomas - Journal of Hydrology, 2021 - Elsevier
Infiltration excess overland flow is the dominant mechanism for runoff generation in many
dryland watersheds. Event-based rainfall-runoff models therefore partition precipitation into …

Assessing parameter uncertainty of a semi‐distributed hydrology model for a shallow aquifer dominated environmental system

S Samadi, DL Tufford… - JAWRA Journal of the …, 2017 - Wiley Online Library
This paper examines the performance of a semi‐distributed hydrology model (ie, Soil and
Water Assessment Tool [SWAT]) using Sequential Uncertainty FI tting (SUFI‐2), generalized …

Toward a combined Bayesian frameworks to quantify parameter uncertainty in a large mountainous catchment with high spatial variability

Y Hassanzadeh, AA Afshar, M Pourreza-Bilondi… - Environmental …, 2019 - Springer
Although hydrological models play an essential role in managing water resources,
quantifying different sources of uncertainties is a challenging task. In this study, the …

How extreme was the October 2015 flood in the Carolinas? An assessment of flood frequency analysis and distribution tails

RC Phillips, SZ Samadi, ME Meadows - Journal of Hydrology, 2018 - Elsevier
This paper examines the frequency, distribution tails, and peak-over-threshold (POT) of
extreme floods through analysis that centers on the October 2015 flooding in North Carolina …

Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran)

A Jafarzadeh, M Pourreza-Bilondi… - Theoretical and Applied …, 2019 - Springer
The evaporation loss is a key component that affects managing the water resources of arid
and semi-arid regions, where the resources are not uniformly distributed. Due to the climate …