Journal of Water Resource and Protection

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org
"Artificial Neural Networks for Event Based Rainfall-Runoff Modeling"
written by Archana Sarkar, Rakesh Kumar,
published by Journal of Water Resource and Protection, Vol.4 No.10, 2012
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] ANN-based Rainfall-Runoff Model and Its Performance Evaluation of Sabarmati River Basin, Gujarat, India
Water Conservation Science and Engineering, 2022
[2] Evaluating the performance of HBV, HEC-HMS and ANN models in simulating streamflow for a data scarce high-humid tropical catchment in Tanzania
Hydrological Sciences …, 2022
[3] A new procedure for optimization of hidden layer neurons during learning through gradient descent process of neural network and improvement of performance in the …
Iran Journal of Computer Science, 2021
[4] Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area. Water 2021, 13 …
Ghobari, 2021
[5] corrected Proof
2021
[6] EFFECTS OF LAND USE/LAND COVER CHANGE AND RAINFALL VARIABILITY ON HYDROLOGICAL CHARACTERISTICS OF RIVER RUIRU WATERSHED …
2021
[7] Determining the Role of Different Climatic Factors in the Occurrence of Internal and External Dust in Ahvaz Metropolis using Neural-artificial Network
Geography and …, 2021
[8] بهره‌برداری بهینه از مخازن با افزایش بهره‌وری آب: راهکار سازگاری با تغییر اقلیم آتی (مطالعه موردی: سد جره)‎
مهندسی عمران امیرکبیر, 2021
[9] MODELLING HYDROLOGICAL RESPONSE TO LAND USE LAND COVER CHANGE AND DEVELOPING BEST MANAGEMENT PRACTICES IN THE …
2021
[10] Assessment of flash flood hazard based on morphometric aspects and rainfall-runoff modeling in Wadi Nisah, Central Saudi Arabia
2021
[11] Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area. Water 2021, 13, 704
2021
[12] Sponge city plant planning and urban construction based on high-resolution remote sensing images
2021
[13] Effects of land-use and-cover changes on streamflow regime in the Brazilian Savannah
Journal of Hydrology …, 2021
[14] Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area
2021
[15] Comparison of Artificial Neural Network Model Capability for Runoff Estimation about Activation Functions
2021
[16] Impact of Activation Functions on Flood Forecasting Model Based on Artificial Neural Networks
2021
[17] Stream Flow Forecasting with One Day Lead Using ʋ-Support Vector Regression
2021
[18] Application of artificial neural networks, support vector machine and multiple model-ANN to sediment yield prediction
2020
[19] Rainfall-runoff modeling for the Hoshangabad Basin of Narmada River using artificial neural network
2020
[20] CALCULATION OF THE RIVER FLOW WITH DIFFERENT PROBABILITIES OF OCCURRENCE USING ARTIFICIAL NEURAL NETWORK.
2020
[21] Rainfall-river discharge modelling for flood forecasting using Artificial Neural Network (ANN)
2020
[22] The Suitability of Artificial Neural Network Application to Predict Sekayam River Discharge in West Kalimantan, Indonesia
2020
[23] Application of Artificial Neural Networks Intelligence in Forecasting of StreamFlow
2020
[24] Application of Artificial Neural Network and Genetic Algorithm Based Artificial Neural Network Models for River Flow Prediction.
2020
[25] Identification and estimation of ecologically relevant flow indices for non-perennial rivers, South Africa
2019
[26] Optimal operation of reservoirs with increasing water use efficiency: Climate change adaptation approach (case study: Jareh Dam)
2019
[27] ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri
2019
[28] A hybrid approach of artificial neural network and multiple regression to forecast typhoon rainfall and groundwater-level change
2019
[29] ASSESSMENT OF LAND USE/COVER CHANGE AND MANAGEMENT IMPACTS ON HYDROLOGY: THE CASE OF GADO CATCHMENT, ETHIOPIA
2019
[30] Bayesian network model for flood forecasting based on atmospheric ensemble forecasts
2019
[31] Efecto del cambio de uso del Suelo sobre la producción de agua y Sedimentos en la Subcuenca del rio Llallimayo-Melgar-Puno.
2019
[32] DEVELOPMENT OF AN INTEGRATED SPATIAL DISTRIBUTED TRAVEL TIME METHOD USING GIS TO MODEL RAINFALL RUNOFF IN BENTONG …
2018
[33] Flood Prediction In Nigeria Using Artificial Neural Network
American Journal of Engineering Research, 2018
[34] Suitability of Neural Network Techniques for Rainfall-Runoff Modelling Over a River Basin: A Comprehensive Literature Review
2018
[35] Sustainability impacts of tidal river management: Towards a conceptual framework
Ecological Indicators, 2018
[36] Development of hybrid wavelet-ANN model for hourly flood stage forecasting
ISH Journal of Hydraulic Engineering, 2018
[37] Hydrological Analysis by Artificial Neural Network: A Review
2018
[38] MODELING OF TRIANGULAR UNIT HYDROGRAPHS USING AN ARTIFICIAL NEURAL NETWORK IN A TROPICAL RIVER BASIN
2018
[39] Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling
Sensors, 2018
[40] Performance of back-propagation neural network in chaotic data time series forecasting and evaluation over parametric forecast: a case study for rainfall-runoff …
International Journal of Information Technology, 2018
[41] Comparison of Three Intelligent Techniques for Runoff Simulation
2018
[42] GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures
Water Resources Management, 2018
[43] Ofikwu Ene Patience. Flood prediction in Nigeria using artificial neural network
2018
[44] Analysis of the effect of loss and baseflow methods and catchment scale on performance of HEC-HMS model for Kelani river basin, Sri Lanka
2018
[45] Water quality modelling using artificial neural network and multivariate statistical techniques
2018
[46] Predicting Runoff and Sediment Yield Using AnnAGNPS Model in Koga Watershed, Upper Blue Nile Basin, Ethiopia
2017
[47] Event-Based Rainfall-Runoff Forecasting in Pampanga River Basin, Philippines using Artificial Neural Networks (ANN)
2017
[48] Event-based rainfall-runoff forecasting in Pampanga River Basin, Philippines using Artificial Neural Networks (ANN).
2017
[49] vorheriger Artikel Gene-Expression Programming for Short-Term Fore... nächster Artikel An Artificial Intelligence Approach for the Sto...
2017
[50] Modeling of Rainfall-Runoff Correlations Using Artificial Neural Network-A Case Study of Dharoi Watershed of a Sabarmati River Basin, India
2017
[51] Modelling and optimization of land use/land cover change in a developing urban catchment
2017
[52] Estimate of Suspended Sediment Concentration from Monitored Data of Turbidity and Water Level Using Artificial Neural Networks
Water Resources Management, 2017
[53] Impacto del cambio de uso del suelo en las áreas productoras de agua de la cuenca del Río Magdalena, cantón Cotacachi
2017
[54] River flow modeling using artificial neural networks in Kapuas river, West Kalimantan, Indonesia
AIP Conference Proceedings, 2017
[55] Determination of The Importance of Hydro-climate Parameters on Drying in Gavkhooni Wetland Using Artificial Neural Network and Remote Sensing Data
2016
[56] Modeling of Rainfall-Runoff relationship using Artificial Neural Networks
2016
[57] Characterizing and Understanding of the Hydrological System of Didesa Sub-Basin
2016
[58] Modeling of rainfall–runoff relationship using Artificial Neural Networks
2016
[59] Análisis del efecto laminador del cauce utilizando modelos fluviales bidimensionales
2016
[60] TECHNOLOGY (AAiT)
2016
[61] Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of Northern Iran
Journal of Hydrology, 2016
[62] Contribution of Women in Hydrological Research
International Journal of Research-Granthaalayah, ISSN, 2016
[63] Time Lagged Back Propagation Neural Network with Rainfall for Flood Forecasting
2016
[64] تعیین میزان اهمیت تأثیر پارامترهای متعدد هیدرواقلیمی بر خشکیدگی تالاب گاوخونی با به‌کارگیری شبکۀ عصبی مصنوعی و داده‌های سنجش از دور‎
2016
[65] Identifikacija hidroloških režima otjecanja u kršu konceptualnim i parametarskim modelima
2015
[66] Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
International Journal of Computer Applications, 2015
[67] AIR QUALITY PATTERN ASSESSMENT IN MALAYSIA USING MULTIVARIATE TECHNIQUES
Malaysian Journal of Analytical Sciences, 2015
[68] Impact of land use change on hydrological systems: A review of current modeling approaches
Cogent Geoscience, 2015
[69] An Efficient Approach of Artificial Neural Network in Runoff Forecasting
International Journal of Computer Applications, 2014
[70] Estimación del hidrograma de salida en una cuenca usando un modelo hidrológico distribuido y un modelo hidráulico bidimensional en volúmenes finitos
2014
[71] A neuro-fuzzy model to predict the inflow to the guardialfiera multipurpose dam (Southern Italy) at medium-long time scales
Journal of Agricultural Engineering, 2013
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top