River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Abstract Low-impact development (LID), best management practice (BMP), and green
infrastructure (GI) are semi-engineered stormwater management practices that have been …

The present study proposes a new hybrid evolutionary Adaptive Neuro-Fuzzy Inference
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …

The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

Despite showing great success of applications in many commercial fields, machine learning
and data science models generally show limited success in many scientific fields, including …

Abstract Models of water resources systems are conceived to capture the underlying
environmental dynamics occurring within watersheds. All such models can be regarded as …

Riprap stones are frequently applied to protect rivers and channels against erosion
processes. Many empirical equations have been proposed in the past to estimate the unit …

Understanding what can be done about flooding involves examining how everyday urban
activities exacerbate flood risks, and how to reduce the inequitable exposure to flood risks at …

The runoff formation process is believed to be highly non-linear, time varying, spatially
distributed, and not easily described by simple models. Considerable time and effort has …

Recently land-use planning and green environment services have been considered as
inseparable parts of the design of trail paths for a sustainable development. At present there …