The economic benefits of rainwater-runoff reduction by urban green spaces: a case study in Beijing, China
B Zhang, G Xie, C Zhang, J Zhang - Journal of environmental management, 2012 - Elsevier
Urbanization involves the replacement of vegetated surfaces with impervious built surfaces,
and it often results in an increase in the rate and volume of rainwater surface runoff. Urban …
and it often results in an increase in the rate and volume of rainwater surface runoff. Urban …
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship
Hydrologic models require atmospheric, dynamic and static models to simulate river flow
from catchments. Thus the accuracy of hydrologic modelling highly depends on the data …
from catchments. Thus the accuracy of hydrologic modelling highly depends on the data …
Adaptive neuro-fuzzy inference system for drought forecasting
Drought causes huge losses in agriculture and has many negative influences on natural
ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System …
ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System …
Evaluation of sediment transport in sewer using artificial neural network
I Ebtehaj, H Bonakdari - Engineering Applications of …, 2013 - Taylor & Francis
Sedimentation in sewers occurs regularly according to the alternating natural flow. The long
term deposit of material in the sewerage systems increases the risk of changes in the …
term deposit of material in the sewerage systems increases the risk of changes in the …
Performance evaluation of adaptive neural fuzzy inference system for sediment transport in sewers
I Ebtehaj, H Bonakdari - Water resources management, 2014 - Springer
The application of models capable of estimating sediment transport in sewers has been a
frequent practice in the past years. Considering the fact that predicting sediment transport …
frequent practice in the past years. Considering the fact that predicting sediment transport …
Hourly runoff forecasting for flood risk management: Application of various computational intelligence models
H Badrzadeh, R Sarukkalige, AW Jayawardena - Journal of Hydrology, 2015 - Elsevier
Reliable river flow forecasts play a key role in flood risk mitigation. Among different
approaches of river flow forecasting, data driven approaches have become increasingly …
approaches of river flow forecasting, data driven approaches have become increasingly …
Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran)
Drought is accounted as one of the most natural hazards. Studying on drought is important
for designing and managing of water resources systems. This research is carried out to …
for designing and managing of water resources systems. This research is carried out to …
[HTML][HTML] Determination of runoff coefficient (C) in catchments based on analysis of precipitation and flow events
RE Machado, TO Cardoso, MH Mortene - International Soil and Water …, 2022 - Elsevier
Runoff coefficient (C) values are tabulated and enshrined in hydrological engineering.
These values are considered to be constant although they may not correspond to reality. In …
These values are considered to be constant although they may not correspond to reality. In …
Comparative case study of rainfall-runoff modeling between SWMM and fuzzy logic approach
KH Wang, A Altunkaynak - Journal of Hydrologic Engineering, 2012 - ascelibrary.org
A comprehensive hydrological model, like the storm water management model (SWMM),
has been widely used for rainfall-runoff simulation. In recent years, simple and effective …
has been widely used for rainfall-runoff simulation. In recent years, simple and effective …
An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS
H Riahi-Madvar, SA Ayyoubzadeh, E Khadangi… - Expert Systems with …, 2009 - Elsevier
Longitudinal dispersion coefficient in rivers and natural streams usually is estimated by
simple inaccurate empirical relations, because of the complexity of the phenomena. So, in …
simple inaccurate empirical relations, because of the complexity of the phenomena. So, in …