The global food‐energy‐water nexus
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 …
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
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 …
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
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 …
national governments. The destructive effects of floods are magnified in cities. Accurate …
Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems
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 …
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 …
sekarang dan yang akan datang. Bencana ini diakibatkan oleh peristiwa alam atau manusia …
Time to update the split‐sample approach in hydrological model calibration
Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …
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
Streamflow forecasting plays a key role in improvement of water resource allocation,
management and planning, flood warning and forecasting, and mitigation of flood damages …
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 …
increasingly important issue of global significance, although it is more critical for the …
Seasonal drought prediction: Advances, challenges, and future prospects
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 …
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) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …