Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the Eastern Shore of Virginia, United States

V Lakshmi - Science of The Total Environment, 2024 - Elsevier
Coastal regions face climate-induced threats that have likely increased over the past four
decades. In this work, we quantify the future climate impacts on hydroclimatic extremes in …

Response of streamflow and sediment variability to cascade dam development and climate change in the Sai Gon Dong Nai River basin

BQ Nguyen, D Van Binh, TND Tran, SA Kantoush… - Climate Dynamics, 2024 - Springer
Future changes in streamflow and sediment, influenced by anthropogenic activities and
climate change, have a crucial role in watershed management. This study aimed to quantify …

Nitrate isotopes in catchment hydrology: insights, ideas and implications for models

I Matiatos, C Moeck, Y Vystavna, H Marttila… - Journal of …, 2023 - Elsevier
Abstract Models that simulate water flow and quality, particularly related to nitrate ions, are
commonly used on a catchment-scale. However, tracking nitrate ions is a challenging task …

[HTML][HTML] Robustness of gridded precipitation products for Vietnam basins using the comprehensive assessment framework of rainfall

MH Le, R Zhang, BQ Nguyen, JD Bolten… - Atmospheric …, 2023 - Elsevier
The use of satellite–based precipitation products (SPPs) have become increasingly
prevalent as key inputs to provide regional rainfall for improving hydrological simulations in …

[HTML][HTML] SWAT+ model setup verification tool: SWATdoctR

S Plunge, C Schürz, N Čerkasova, M Strauch… - … Modelling & Software, 2024 - Elsevier
Abstract The Soil and Water Assessment Tool (SWAT) is applied worldwide for modeling
basin-scale processes. Its latest version (SWAT+) adds new capabilities to the tool, and …

Pitfalls in hydrologic model calibration in a data scarce environment with a strong seasonality: Experience from the Adyar catchment, India

TB Tigabu, PD Wagner, B Narasimhan… - Environmental Earth …, 2023 - Springer
Process-based hydrologic models can provide necessary information for water resources
management. However, the reliability of hydrological models depends on the availability of …

[HTML][HTML] Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks

XH Le, Y Kim, D Van Binh, S Jung, DH Nguyen… - Journal of Hydrology, 2024 - Elsevier
Accurate rainfall-runoff (RR) modeling is crucial for effective Mekong River Basin (MRB)
water resource management. Satellite precipitation products (SPPs) can offer valuable data …

PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate …

JD Jakeman - Environmental Modelling & Software, 2023 - Elsevier
PyApprox is a Python-based one-stop-shop for probabilistic analysis of numerical models
such as those used in the earth, environmental and engineering sciences. Easy to use and …

SWAT-3PG: Improving forest growth simulation with a process-based forest model in SWAT

R Karki, J Qi, CA Gonzalez-Benecke, X Zhang… - … Modelling & Software, 2023 - Elsevier
This study developed a new process-based forest module for the Soil and Water
Assessment Tool (SWAT), based on the Physiological Process in Predicting Growth (3-PG) …

Synergistic water quality and soil organic carbon sequestration benefits of winter cover crops

X Zhang, Y Wang, S Lee, K Liang, K Zhao… - Journal of …, 2024 - Elsevier
Winter cover crops (WCCs) are promising best management practices for reducing nitrogen
and sediment pollution and increasing soil organic carbon (SOC) sequestration in …