Urban water demand forecasting: review of methods and models
This paper reviews the literature on urban water demand forecasting published from 2000 to
2010 to identify methods and models useful for specific water utility decision making …
2010 to identify methods and models useful for specific water utility decision making …
System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts
C Qi, NB Chang - Journal of environmental management, 2011 - Elsevier
Accurate prediction of municipal water demand is critically important to water utilities in fast-
growing urban regions for drinking water system planning, design, and water utility asset …
growing urban regions for drinking water system planning, design, and water utility asset …
A wavelet neural network conjunction model for groundwater level forecasting
J Adamowski, HF Chan - Journal of Hydrology, 2011 - Elsevier
Accurate and reliable groundwater level forecasting models can help ensure the sustainable
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
use of a watershed's aquifers for urban and rural water supply. In this paper, a new method …
Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling
Sustainable freshwater management is underpinned by technologies which improve the
efficiency of agricultural irrigation systems. Irrigation scheduling has the potential to …
efficiency of agricultural irrigation systems. Irrigation scheduling has the potential to …
A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
planning and management of water resource structures. More recently, soft computing …
planning and management of water resource structures. More recently, soft computing …
A new dynamic firefly algorithm for demand estimation of water resources
Firefly algorithm (FA) is an effective optimization technique based on swarm intelligence,
which has been successfully applied to various practical engineering problems. In this …
which has been successfully applied to various practical engineering problems. In this …
A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods
Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have
an extensive range of applications in water resources management. Wavelet transformation …
an extensive range of applications in water resources management. Wavelet transformation …
Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran
Contamination of wells with nitrate-N (NO 3-N) poses various threats to human health.
Contamination of groundwater is a complex process and full of uncertainty in regional scale …
Contamination of groundwater is a complex process and full of uncertainty in regional scale …
Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
F Fahimi, ZM Yaseen, A El-shafie - Theoretical and applied climatology, 2017 - Springer
Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …
widely in engineering and science problems. Water resource variable modeling and …
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis
In this research, three different evolutionary algorithms (EAs), namely, particle swarm
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …