Review of surrogate modeling in water resources
Surrogate modeling, also called metamodeling, has evolved and been extensively used
over the past decades. A wide variety of methods and tools have been introduced for …
over the past decades. A wide variety of methods and tools have been introduced for …
State of the art for genetic algorithms and beyond in water resources planning and management
During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …
seen a dramatic increase in the development and application of various types of …
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets
The data-driven modern era has enabled the collection of large amounts of biomedical and
clinical data. DNA microarray gene expression datasets have mainly gained significant …
clinical data. DNA microarray gene expression datasets have mainly gained significant …
Global change and the groundwater management challenge
SM Gorelick, C Zheng - Water Resources Research, 2015 - Wiley Online Library
With rivers in critical regions already exploited to capacity throughout the world and
groundwater overdraft as well as large‐scale contamination occurring in many areas, we …
groundwater overdraft as well as large‐scale contamination occurring in many areas, we …
A robust method for non-stationary streamflow prediction based on improved EMD-SVM model
E Meng, S Huang, Q Huang, W Fang, L Wu, L Wang - Journal of hydrology, 2019 - Elsevier
Monthly streamflow prediction can offer important information for optimal management of
water resources, flood mitigation, and drought warning. The semi-humid and semi-arid Wei …
water resources, flood mitigation, and drought warning. The semi-humid and semi-arid Wei …
[BOK][B] Rainfall-runoff modelling: the primer
KJ Beven - 2012 - books.google.com
Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …
authoritative text, first published in 2001. The book provides both a primer for the novice and …
Effective and efficient global optimization for conceptual rainfall‐runoff models
The successful application of a conceptual rainfall‐runoff (CRR) model depends on how
well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate …
well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate …
Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration
HV Gupta, S Sorooshian, PO Yapo - Journal of hydrologic …, 1999 - ascelibrary.org
The usefulness of a hydrologic model depends on how well the model is calibrated.
Therefore, the calibration procedure must be conducted carefully to maximize the reliability …
Therefore, the calibration procedure must be conducted carefully to maximize the reliability …
Optimal use of the SCE-UA global optimization method for calibrating watershed models
The difficulties involved in calibrating conceptual watershed models have, in the past, been
partly attributable to the lack of robust optimization tools. Recently, a global optimization …
partly attributable to the lack of robust optimization tools. Recently, a global optimization …
Assessing the physical realism of deep learning hydrologic model projections under climate change
S Wi, S Steinschneider - Water Resources Research, 2022 - Wiley Online Library
This study examines whether deep learning models can produce reliable future projections
of streamflow under warming. We train a regional long short‐term memory network (LSTM) …
of streamflow under warming. We train a regional long short‐term memory network (LSTM) …