Abstract This paper studies the environmental and socioeconomic performance and sustainability of wetland creation/restoration in agricultural watersheds under nonstationary climatic conditions. To this end, we develop a dynamic hydroeconomic modeling […]
Abstract Abatement costs (ACs) and transaction costs (TCs) are involved in motivating and implementing changes in public and private policies and programs. For example, Coase is best known for his
AC-TC Back in Black: Restoring Environmental Water in the Douro Basin, Spain Read More »
In the realm of climate change and water scarcity, accuracy of hydrological modeling becomes more important as it helps to understand how precipitation over a watershed turns into runoff in
Uncertainty assessment is crucial for rainfall-runoff simulations in a typical watershed. Generally, three major sources of uncertainty are input forcing, model structure, and model parameterization. The uncertainty of hydrological modelling
In the realm of climate predictions and extremes, machine learning (ML) techniques serve as versatile tools not only for capturing climate patterns but also for climate change impact assessments. Generally,
Irrigated agriculture is the dominant user of water globally, but most water withdrawals are not monitored or reported. As a result, it is largely unknown when, where, and how much
The integration of remote sensing and socio-economic data is crucial for policy making in regions suffering from water scarcity and climate change. This paper presents a framework that combines remotely
The contribution of this paper is twofold: 1) it develops a replicable socio-hydrology-inspired model that elicits agents’ preferences while accounting for the two-way feedbacks between complex human and water systems
