Dario Del Giudice
Also known as: Del Giudice, D.
https://orcid.org/0000-0002-6375-8527
Quantitative risk assessment, Parsimonious Process-Based Modeling, Bayesian Statistics, Uncertainty Quantification
Dr. Dario Del Giudice is conducting his research at NCSU, after moving from Stanford where he was working at the Carnegie Institution for Science. He is interested in understanding and predicting the impacts of climate variability and human pressures on the quantity and quality of water resources. In his research at the interface of catchment hydrology and surface water pollution he uniquely combines process-based models, stochastic methods for uncertainty quantification, and statistical inference. Dr. Del Giudice is currently focusing on the complex issue of fertilizer running off agricultural watersheds into surface waters and fostering eutrophication and dead zones in critical systems such as the Great Lakes and the Gulf of Mexico. His goal is to identify the key hydroclimatic and land-management factors responsible for lacustrine, estuarine, and coastal hypoxia and predict how the quality of these aquatic ecosystems will respond to changing patterns in precipitation and temperature. Dr. Del Giudice earned his PhD degree from the Swiss Federal Institute of Technology in Zurich. During his doctorate, he has worked on improving inference of catchment properties, rainfall estimation, and predictions of hydrological and contaminant transport dynamics. In particular, he has developed advanced Bayesian methods to assimilate runoff data and quantify predictive uncertainty coming from errors in model input (related to precipitation) and structure (related to system oversimplifications).
Works (21)
Updated: April 11th, 2023 10:13
2022 journal article
Temporally resolved coastal hypoxia forecasting and uncertainty assessment via Bayesian mechanistic modeling
HYDROLOGY AND EARTH SYSTEM SCIENCES, 26(4), 1131–1143.
hess.copernicus.org (publisher PDF)
Sources: Web Of Science, ORCID
Added: February 28, 2022
2021 journal article
Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling
SCIENCE OF THE TOTAL ENVIRONMENT, 755.
author keywords: Eutrophication; Harmful algal blooms; Bayesian inference; Process-based modeling; Great Lakes; Hindcasts and projections
Sources: Web Of Science, ORCID
Added: January 11, 2021
2021 journal article
Exploring nutrient and light limitation of algal production in a shallow turbid reservoir
ENVIRONMENTAL POLLUTION, 269.
author keywords: Cyanobacteria; Eutrophic reservoir; Nutrients; Mixing; Modeling
Sources: Web Of Science, ORCID
Added: February 15, 2021
2021 journal article
Simulating algal dynamics within a Bayesian framework to evaluate controls on estuary productivity
ECOLOGICAL MODELLING, 447.
author keywords: Eutrophication; Phytoplankton; Modeling; Bayesian inference; Nutrient management; Neuse River Estuary
Sources: Web Of Science, ORCID
Added: April 26, 2021
2020 journal article
Accounting for erroneous model structures in biokinetic process models
RELIABILITY ENGINEERING & SYSTEM SAFETY, 203.
author keywords: Bias description; Kinetic model; Process design; Wastewater treatment; Uncertainty
Sources: Web Of Science, ORCID
Added: September 28, 2020
2020 journal article
Bayesian mechanistic modeling characterizes Gulf of Mexico hypoxia: 1968-2016 and future scenarios
ECOLOGICAL APPLICATIONS, 30(2).
author keywords: Bayesian inference; climate change; dead hypoxic zones; eutrophication; Gulf of Mexico; hindcasts and projections; process-based modeling; riverine nitrogen; uncertainty quantification
Sources: Web Of Science, ORCID
Added: December 16, 2019
2019 journal article
A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent
Science of The Total Environment, 8, 133776.
author keywords: Harmful algal blooms; Space-time geostatistical model; Lake Erie; Probabilistic estimates; Algal biomass and extent
Source: ORCID
Added: August 10, 2019
2019 journal article
Modeling biophysical controls on hypoxia in a shallow estuary using a Bayesian mechanistic approach
Environmental Modelling & Software, 7.
author keywords: Hypoxia; Dissolved oxygen modeling; Bayesian inference; Neuse River estuary; Stratification; Oxygen demand
Source: ORCID
Added: July 31, 2019
2018 journal article
Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator
Environmental Modelling & Software, 7.
Source: ORCID
Added: June 7, 2019
2018 journal article
Long-term phosphorus loading and springtime temperatures explain interannual variability of hypoxia in a large temperate lake
Environmental Science & Technology, 1.
Source: ORCID
Added: June 7, 2019
2018 journal article
On the practical usefulness of least squares for assessing uncertainty in hydrologic and water quality predictions
ENVIRONMENTAL MODELLING & SOFTWARE, 105, 286–295.
author keywords: Uncertainty assessment; Mechanistic modeling; Surface hydrology; Water quality; Least squares; Statistical inference
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 journal article
Communication: A few words can make a big impact
Source: ORCID
Added: June 7, 2019
2016 journal article
Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation
Water Resour. Res., 3, n/a-n/a.
Source: ORCID
Added: June 7, 2019
2016 journal article
Health
Source: ORCID
Added: June 7, 2019
2015 journal article
Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors
Water Resour. Res., 5, n/a-n/a.
author keywords: Bayesian uncertainty analysis; hydrological simulator; stochastic differential equations; statistical error model; urban drainage; model discrepancy
Source: ORCID
Added: June 7, 2019
2015 journal article
Model bias and complexity – Understanding the effects of structural deficits and input errors on runoff predictions
Environmental Modelling & Software, 64(1), 205–214.
author keywords: Model structural deficits; Rainfall errors; Stochastic uncertainty analysis; Bayesian bias description; Hydrodynamic simulations; Model comparison
Source: ORCID
Added: June 7, 2019
2015 journal article
The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration
Journal of Hydrology, 9, 241–254.
author keywords: TSS; Uncertainty analysis; Bayesian inference; Multivariate calibration; Model bias; Autocorrelated errors
Source: ORCID
Added: June 7, 2019
2013 journal article
Dynamic time warping improves sewer flow monitoring
Water Research, 47(11), 3803–3816.
author keywords: Dynamic time warping; Sensor diagnosis; Sewer flow monitoring; Signal processing
Source: ORCID
Added: June 7, 2019
2013 journal article
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Hydrology and Earth System Sciences, 17(10), 4209–4225.
Source: ORCID
Added: June 7, 2019
2012 journal article
Modeling of facade leaching in urban catchments
Water Resources Research, 48(12).
Source: ORCID
Added: June 7, 2019
2012 journal article
Parsimonious hydrological modeling of urban sewer and river catchments
Journal of Hydrology, 464-465, 477–484.
author keywords: Urban hydrology; Modeling; Sewer catchment; Case study
Source: ORCID
Added: June 7, 2019
