The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …

Due to climate emergencies, water stress, and fast-growing populations, many cities around
the world are adopting wastewater reclamation and reuse to improve the water supply for …

Nowadays, a large number of water utilities still manage their operation on the instant water
demand of the network, meaning that the use of the equipment is conditioned by the …

Urban water demand forecasting is crucial to reduce the waste of water resources and
environmental protection. However, the non-stationarity and non-linearity of the water …

Assessing the impact of climate change on water demand is a challenging task. This paper
proposes a novel methodology that quantifies this impact by establishing a link between …

This paper examines the applicability of principal component analysis (PCA) and cluster
analysis in regional flood frequency analysis. A total of 88 sites in New South Wales …

The prediction of urban water consumption is of great significance for urban planning and
management, addressing water demand conflicts among various industries in a city and …

Short-term water demand forecasting is crucial for constructing intelligent water supply
system. Plenty of useful models have been built to address this issue. However, there are …

Despite recent efforts to apply machine learning (ML) for water demand modeling,
overcoming the black-box nature of these techniques to extract practical information remains …

In this study, a SEMs-bootstrap-ANN method was presented for constructing prediction
intervals (PIs) of water demand under shared socioeconomic pathways (SSPs). The primary …