Over the past few years, Deep Learning (DL) methods have garnered substantial
recognition within the field of hydrology and water resources applications. Beginning with a …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Artificial intelligence (AI) is an important technology that supports daily social life and
economic activities. It contributes greatly to the sustainable growth of Japan's economy and …

Climate change challenges societal functioning, likely requiring considerable adaptation to
cope with future altered weather patterns. Machine learning (ML) algorithms have advanced …

Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …

In recent years droughts have been occurring frequently, and their impacts are being
aggravated by the rise in water demand and the variability in hydro-meteorological variables …

Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …

Droughts are the most spatially complex geohazard, which often lasts for years, thereby
severely impacting socio-economic sectors. One of the critical aspects of drought studies is …

Climate change has increased frequency, severity and areal extent of droughts across the
world in the last few decades magnifying their adverse impacts. Prediction of droughts is …