Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

Drought, one of the main factors threatening social life today, is examined and analyzed by
its types such as meteorological, agricultural, and hydrological droughts. Thus, decision …

Drought is one of the most extensive natural disasters affecting human society. It spreads
through land–atmosphere system and hydrological cycle, and evolves into different types of …

Under the background of global change, the multivariate attributes, multi-temporal and multi-
watershed regional characteristics of extreme drought and flood disasters are significant. It is …

The frequency of drought events has increased with climate change, making it vital to
monitor and predict the response to drought. In particular, the relationship among …

This study aims to establish the conditional independence structure between regional
monthly rainfall and several local meteorological drivers (probable predictors) to develop a …

This chapter provides an overview of machine learning models and their applications to the
science of inland waters. Such models serve a wide range of purposes for science and …

The analysis and forecasting of wetness-dryness encountering is the basis of joint operation
of a multi-water system, which is important for water management of intake areas of water …

Develo** an accurate drought forecasting model is significantly important for minimizing
the economic and ecological damage due to drought hazards. The competitive …

Droughts present significant challenges to agriculture, water resources, ecosystems, and
societies worldwide. This comprehensive review examines the multidimensional impacts of …