The global food‐energy‐water nexus

P D'Odorico, KF Davis, L Rosa, JA Carr… - Reviews of …, 2018 - Wiley Online Library
Water availability is a major factor constraining humanity's ability to meet the future food and
energy needs of a growing and increasingly affluent human population. Water plays an …

[HTML][HTML] Impacts of land use and land cover change on surface runoff, discharge and low flows: Evidence from East Africa

AC Guzha, MC Rufino, S Okoth, S Jacobs… - Journal of Hydrology …, 2018 - Elsevier
Abstract Region East Africa. Focus A review of catchment studies (n= 37) conducted in East
Africa evaluating the impacts of Land Use and Land Cover Changes (LULCC) on discharge …

[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

E Rafiei-Sardooi, A Azareh, B Choubin… - International Journal of …, 2021 - Elsevier
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …

Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems

H Karami, MV Anaraki, S Farzin, S Mirjalili - Computers & Industrial …, 2021 - Elsevier
The present study aimed to propose a new optimization algorithm named Flow Direction
Algorithm (FDA), which is a physics-based algorithm. The FDA algorithm mimics the flow …

[图书][B] Rekayasa dan manajemen banjir kota

RJ Kodoatie - 2021 - books.google.com
Bencana banjir telah menjadi persoalan tiada akhir bagi manusia di seluruh dunia dari dulu,
sekarang dan yang akan datang. Bencana ini diakibatkan oleh peristiwa alam atau manusia …

Time to update the split‐sample approach in hydrological model calibration

H Shen, BA Tolson, J Mai - Water Resources Research, 2022 - Wiley Online Library
Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …

Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting

M Rahimzad, A Moghaddam Nia, H Zolfonoon… - Water Resources …, 2021 - Springer
Streamflow forecasting plays a key role in improvement of water resource allocation,
management and planning, flood warning and forecasting, and mitigation of flood damages …

[HTML][HTML] A review of the current status of flood modelling for urban flood risk management in the developing countries

UC Nkwunonwo, M Whitworth, B Baily - Scientific African, 2020 - Elsevier
The prevalence of flooding events and the associated risk in the urban areas is an
increasingly important issue of global significance, although it is more critical for the …

Seasonal drought prediction: Advances, challenges, and future prospects

Z Hao, VP Singh, Y Xia - Reviews of Geophysics, 2018 - Wiley Online Library
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 …

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …