Bayesian networks (BNs) are widely implemented as graphical decision support tools which
use probability inferences to generate “what if?” and “which is best?” analyses of potential …

Abstract The Sustainable Development Goals (SDGs) are presented as integrated and
indivisible. Therefore, for monitoring purposes, conventional indicator-based frameworks …

Dam inflow prediction is important in terms of optimal water allocation and reduction of
potential risks of floods and droughts. It is necessary to select a suitable model to reduce …

This research surveyed the effects of land use changes on flow nitrate pollution in the Talar
River (northern Iran), using Landsat images of 1991 and 2013 and the Soil and Water …

Cascading disasters induced by earthquakes amplify the severity of the initial impact on
environment. Although decisionmakers may face uncertainty, an effective mitigation strategy …

It is well known that rainfall causes soil erosion in sloping German vineyards, but little is
known about the effect of age of plantation on soil erosion, which is relevant to understand …

In recent years, the large-scale development of land and water resources has led to a
conflict between water supply and demand. Especially in arid regions, fragile ecosystems …

Urban treated wastewater can be used as a sustainable water supply alternative; however, it
contains chemical and biochemical contaminants and poses risks to the affected area. This …

Abstract The Zeribar wetland in Iran's western city of Marivan provides a valuable foundation
for maintaining various aspects of social and cultural life, from water supply to recreational …

A decision support tool was created to estimate the treatment efficiency of an Australian
drinking water treatment system based on different combinations of extreme weather events …