Browse all Channels
IWA Publishing
Alliance House, 12 Caxton Street ,
London ,
United Kingdom SW1H 0QS
United Kingdom
  1. Companies
  2. IWA Publishing
  3. Articles
  4. Determination of number of check dams by artificial neural ...

Determination of number of check dams by artificial neural networks in arid regions of Iran

0

Courtesy of IWA Publishing

An artificial neural network (ANN) model with six hydrological factors including time of concentration (TC), curve number, slope, imperviousness, area and input discharge as input parameters and number of check dams (NCD) as output parameters was developed and created using GIS and field surveys. The performance of this model was assessed by the coefficient of determination R2, root mean square error (RMSE), values account and mean absolute error (MAE). The results showed that the computed values of NCD using ANN with a multi-layer perceptron (MLP) model regarding RMSE, MAE, values adjustment factor (VAF), and R2 (1.75, 1.25, 90.74, and 0.97) for training, (1.34, 0.89, 97.52, and 0.99) for validation and (0.53, 0.8, 98.32, and 0.99) for test stage, respectively, were in close agreement with their respective values in the watershed. Finally, the sensitivity analysis showed that the area, TC and curve number were the most effective parameters in estimating the number of check dams.

Related articles

  • Lufft ceilometers used in large meteo networks of DWD & KNMI - Case Study

    In 2015, two big tenders were won by Lufft – one from the “KNMI” (Dutch Royal Weather Service), and the other one from the biggest German Weather Service “DWD” (“Deutscher Wetterdienst”). Both of them were looking for a cloud height sensor capable of measurements up to 12 kilometers into the sky. The Lufft CHM 15k can detect different cloud layers which are even up to 15 kilometers high. Through the tenders both weather services found the right sensors to renew or...

  • Synthesis of MnFe2O4 and Mn3O4 magnetic nano-composites with enhanced properties for adsorption of ...

    This study reports adsorptive removal of Cr(VI) by magnetic manganese ferrite and manganese oxide nano-particles (MnF-MO-NPs) composite from aqueous media. The X-ray diffraction pattern of MnF-MO-NPs revealed a polycrystalline nature with nanoscale crystallite size. The prepared adsorbent with high Brunauer–Emmett–Teller specific surface area of 100.62 m2/g and saturation magnetization of 30.12 emu/g exhibited maximum Cr(VI) removal at solution pH 2.0 and was easily separated from water under an external magnetic...

  • Optimizing DMAs' formation in a water pipe network: the water aging and the operating pressure ...

    Dividing a water distribution network (WDN) into district metered areas (DMAs) is the first vital step towards pressure management and real losses reduction. However, other factors of water quality such as the water age must be taken into account while forming DMAs. The current study uses genetic algorithm (GA) optimization methods to achieve the desired WDN segmentation conditions in terms of: (a) reducing the operating pressure, thus reducing the system's real losses; and (b) reducing the water age, thus...

  • Forming DMAs in a water distribution network considering the operating pressure and the chlorine ...

    Dividing a water distribution network (WDN) in the optimal district metered areas (DMAs) formation is one task that usually troubles water utility managers. The present paper utilizes optimization methods to achieve desired segmentation conditions in terms of (a) operating pressure reduction, thus reducing the system's real water losses and (b) residual chlorine concentration reduction thus preventing disinfection byproducts' growth. Exploiting the numerous possibilities offered by the inter-connection of Matlab...

  • Assessment of uncertainty in discrete fracture network modeling using probabilistic distribution ...

    There have been widespread concerns about solute transport problems in fractured media, e.g. the disposal of high-level radioactive waste in geological fractured rocks. Numerical simulation of particle tracking is gradually being employed to address these issues. Traditional predictions of radioactive waste transport using discrete fracture network (DFN) models often consider one particular realization of the fracture distribution based on fracture statistic features. This significantly underestimates the uncertain...

Customer comments

No comments were found for Determination of number of check dams by artificial neural networks in arid regions of Iran. Be the first to comment!