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River discharge links the hydrologic and geologic cycles in addition to climate components; therefore, it forms an important source of hydraulic and hydrologic quantity. The ability to quantify river discharge accurately is very important for estimating water availability and distribution for better water resources management. In this study, the performance of ARIMA, random forest (RF), the M5P and Bagged M5P (BM5P) methods, for modeling the daily discharge of the Baitarani Riverwere compared and evaluated against measured values. Fifteen different input combinations under two groups (i.e., discharge and rainfall) were considered, and a suitable modeling approach with appropriate model input combination is proposed on the basis of various goodness fit parameters. Four statistical assessment methods implemented to determine the best performing models include the correlation coefficient (CC), Mean square error (MSE), Root mean square error (RMSE) and Scattering Index (SI).The outcomes of this study indicated that the Bagged M5P modeling approach is outperforming than ARIMA, RF and M5P. This model recorded up to 0.8676, 10.7279, 39.836 m3/s and 0.9599 for (CC), (MAE), (RMSE) and (SI), respectively, for testing data set.
Parveen Sihag; Ahmed Mohammed Sami Al-Janabi; Nashwan K. Alomari; Aminuddin Ab Ghani; Somvir Singh Nain. Evaluation of tree regression analysis for estimation of river basin discharge. Modeling Earth Systems and Environment 2021, 1 -13.
AMA StyleParveen Sihag, Ahmed Mohammed Sami Al-Janabi, Nashwan K. Alomari, Aminuddin Ab Ghani, Somvir Singh Nain. Evaluation of tree regression analysis for estimation of river basin discharge. Modeling Earth Systems and Environment. 2021; ():1-13.
Chicago/Turabian StyleParveen Sihag; Ahmed Mohammed Sami Al-Janabi; Nashwan K. Alomari; Aminuddin Ab Ghani; Somvir Singh Nain. 2021. "Evaluation of tree regression analysis for estimation of river basin discharge." Modeling Earth Systems and Environment , no. : 1-13.
In the present study, an improved adaptive neuro fuzzy inference system (ANFIS) and multilayer perceptron (MLP) models are hybridized with a sunflower optimization (SO) algorithm and are introduced for lake water level simulation. The Urmia Lake water level is predicted and assessed using the potential of the proposed advanced artificial intelligence (AI) models. The sunflower optimization algorithm is implemented to find the optimal tuning parameters. The results indicated that the ANFIS-SO model with the combination of three lags of rainfall and temperature as input attributes attained the best predictability performance. The minimal values of the root mean square error were RMSE = 1.89 m and 1.92 m for the training and testing modeling phases, respectively. The worst prediction capacity was attained for the long lead (i.e., six months rainfall lag times). The uncertainty analysis showed that the ANFIS-SO model had less uncertainty based on the percentage of more responses in the confidence band and lower bandwidth. Also, different scenarios of water harvesting were investigated with the consideration of environmental restrictions and fair water allocation to stakeholders. Further, studying Urmia Lake water harvesting scenarios displayed that the 30% water harvesting scenario of the lake water improves the lake’s water level.
Mohammad Ehteram; Ahmad Ferdowsi; Mahtab Faramarzpour; Ahmed Mohammed Sami Al-Janabi; Nadhir Al-Ansari; Neeraj Dhanraj Bokde; Zaher Mundher Yaseen. Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis. Alexandria Engineering Journal 2020, 60, 2193 -2208.
AMA StyleMohammad Ehteram, Ahmad Ferdowsi, Mahtab Faramarzpour, Ahmed Mohammed Sami Al-Janabi, Nadhir Al-Ansari, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen. Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis. Alexandria Engineering Journal. 2020; 60 (2):2193-2208.
Chicago/Turabian StyleMohammad Ehteram; Ahmad Ferdowsi; Mahtab Faramarzpour; Ahmed Mohammed Sami Al-Janabi; Nadhir Al-Ansari; Neeraj Dhanraj Bokde; Zaher Mundher Yaseen. 2020. "Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis." Alexandria Engineering Journal 60, no. 2: 2193-2208.
In the design of permeable stormwater channels, the ability to quantify infiltration rates accurately is important for assessing the capability of such channels to perform their required functions. Most of the available infiltration models neglect the effects of water level and channel section on the infiltration rate. In this study, physical channel models, with different channel sections, were developed in the laboratory and used to measure the infiltration rates. The performance of three soft computing techniques, including Gaussian process regression, M5P, and random forest (RF) models, were evaluated against measured values. Seven independent input variables, namely, channel side slope (m), base width (b), water level (y), sand (%), silt (%), clay (%), and time (T) and the output variable infiltration rate (f(t)), were considered in the model development and validation. The Gaussian progression–Pearson VII universal kernel function model approach was found to perform best for the data set considered, followed by the RF‐based model. The sensitivity investigation showed that time, water level, and channel side slope were the most influential input variables in predicting infiltration rates for permeable stormwater channels and should be given primary consideration in designing such channels. © 2020 John Wiley & Sons, Ltd.
Zaher Mundher Yaseen; Parveen Sihag; Badronnisa Yusuf; Ahmed Mohammed Sami Al‐Janabi. Modelling infiltration rates in permeable stormwater channels using soft computing techniques*. Irrigation and Drainage 2020, 70, 117 -130.
AMA StyleZaher Mundher Yaseen, Parveen Sihag, Badronnisa Yusuf, Ahmed Mohammed Sami Al‐Janabi. Modelling infiltration rates in permeable stormwater channels using soft computing techniques*. Irrigation and Drainage. 2020; 70 (1):117-130.
Chicago/Turabian StyleZaher Mundher Yaseen; Parveen Sihag; Badronnisa Yusuf; Ahmed Mohammed Sami Al‐Janabi. 2020. "Modelling infiltration rates in permeable stormwater channels using soft computing techniques*." Irrigation and Drainage 70, no. 1: 117-130.
The check dams in grassed stormwater channels enhance infiltration capacity by temporarily blocking water flow. However, the design properties of check dams, such as their height and spacing, have a significant influence on the flow regime in grassed stormwater channels and thus channel infiltration capacity. In this study, a mass-balance method was applied to a grassed channel model to investigate the effects of height and spacing of check dams on channel infiltration capacity. Moreover, an empirical infiltration model was derived by improving the modified Kostiakov model for reliable estimation of infiltration capacity of a grassed stormwater channel due to check dams from four hydraulic parameters of channels, namely, the water level, channel base width, channel side slope, and flow velocity. The result revealed that channel infiltration was increased from 12% to 20% with the increase of check dam height from 10 to 20 cm. However, the infiltration was found to decrease from 20% to 19% when a 20 cm height check dam spacing was increased from 10 to 30 m. These results indicate the effectiveness of increasing height of check dams for maximizing the infiltration capacity of grassed stormwater channels and reduction of runoff volume.
Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf; Saad Sh. Sammen; Haitham Abdulmohsin Afan; Nadhir Al-Ansari; Shamsuddin Shahid; Zaher Mundher Yaseen. Optimizing Height and Spacing of Check Dam Systems for Better Grassed Channel Infiltration Capacity. Applied Sciences 2020, 10, 3725 .
AMA StyleAhmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Badronnisa Yusuf, Saad Sh. Sammen, Haitham Abdulmohsin Afan, Nadhir Al-Ansari, Shamsuddin Shahid, Zaher Mundher Yaseen. Optimizing Height and Spacing of Check Dam Systems for Better Grassed Channel Infiltration Capacity. Applied Sciences. 2020; 10 (11):3725.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf; Saad Sh. Sammen; Haitham Abdulmohsin Afan; Nadhir Al-Ansari; Shamsuddin Shahid; Zaher Mundher Yaseen. 2020. "Optimizing Height and Spacing of Check Dam Systems for Better Grassed Channel Infiltration Capacity." Applied Sciences 10, no. 11: 3725.
Permeable channels are commonly adopted for urban stormwater management as an infiltration device. However, in the design of such channels, the effects of flow hydraulic parameters (i.e. water level, channel cross section and flow velocity) on the infiltration capacity of a permeable channel have usually been neglected. In this study, the variations of infiltration capacity with flow hydraulic parameters in permeable channels were investigated in various cases of static and dynamic flows. For the static phase, physical channels models were fabricated in the laboratory and the investigations were performed under ponding condition, while a grassed channel model was constructed for the dynamic phase. The results show that the water level and channel side slope affected the infiltration capacity more than the base width. The results also show that increasing the hydraulic residence time significantly affected the infiltration rate. Observed infiltration rates were used to develop a predictive infiltration model that considers the flow hydraulic parameters by adding them to the Kostiakov model. The use of this infiltration model promises better prediction accuracy of the infiltration rate in permeable channels.
Badronnisa Yusuf; Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Ibrahiem Al-Ani. Variations of infiltration capacity with flow hydraulic parameters in permeable stormwater channels. ISH Journal of Hydraulic Engineering 2020, 1 -9.
AMA StyleBadronnisa Yusuf, Ahmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Ibrahiem Al-Ani. Variations of infiltration capacity with flow hydraulic parameters in permeable stormwater channels. ISH Journal of Hydraulic Engineering. 2020; ():1-9.
Chicago/Turabian StyleBadronnisa Yusuf; Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Ibrahiem Al-Ani. 2020. "Variations of infiltration capacity with flow hydraulic parameters in permeable stormwater channels." ISH Journal of Hydraulic Engineering , no. : 1-9.
Earth-fill dams are the most common types of dam and the most economical choice. However, they are more vulnerable to internal erosion and piping due to seepage problems that are the main causes of dam failure. In this study, the seepage through earth-fill dams was investigated using physical, mathematical, and numerical models. Results from the three methods revealed that both mathematical calculations using L. Casagrande solutions and the SEEP/W numerical model have a plotted seepage line compatible with the observed seepage line in the physical model. However, when the seepage flow intersected the downstream slope and when piping took place, the use of SEEP/W to calculate the flow rate became useless as it was unable to calculate the volume of water flow in pipes. This was revealed by the big difference in results between physical and numerical models in the first physical model, while the results were compatible in the second physical model when the seepage line stayed within the body of the dam and low compacted soil was adopted. Seepage analysis for seven different configurations of an earth-fill dam was conducted using the SEEP/W model at normal and maximum water levels to find the most appropriate configuration among them. The seven dam configurations consisted of four homogenous dams and three zoned dams. Seepage analysis revealed that if sufficient quantity of silty sand soil is available around the proposed dam location, a homogenous earth-fill dam with a medium drain length of 0.5 m thickness is the best design configuration. Otherwise, a zoned earth-fill dam with a central core and 1:0.5 Horizontal to Vertical ratio (H:V) is preferred.
Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Yousry Mahmoud Ghazaw; Haitham Abdulmohsin Afan; Nadhir Al-Ansari; Zaher Mundher Yaseen. Experimental and Numerical Analysis for Earth-Fill Dam Seepage. Sustainability 2020, 12, 2490 .
AMA StyleAhmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Yousry Mahmoud Ghazaw, Haitham Abdulmohsin Afan, Nadhir Al-Ansari, Zaher Mundher Yaseen. Experimental and Numerical Analysis for Earth-Fill Dam Seepage. Sustainability. 2020; 12 (6):2490.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Yousry Mahmoud Ghazaw; Haitham Abdulmohsin Afan; Nadhir Al-Ansari; Zaher Mundher Yaseen. 2020. "Experimental and Numerical Analysis for Earth-Fill Dam Seepage." Sustainability 12, no. 6: 2490.
Dam and powerhouse operation sustainability is a major concern from the hydraulic engineering perspective. Powerhouse operation is one of the main sources of vibrations in the dam structure and hydropower plant; thus, the evaluation of turbine performance at different water pressures is important for determining the sustainability of the dam body. Draft tube turbines run under high pressure and suffer from connection problems, such as vibrations and pressure fluctuation. Reducing the pressure fluctuation and minimizing the principal stress caused by undesired components of water in the draft tube turbine are ongoing problems that must be resolved. Here, we conducted a comprehensive review of studies performed on dams, powerhouses, and turbine vibration, focusing on the vibration of two turbine units: Kaplan and Francis turbine units. The survey covered several aspects of dam types (e.g., rock and concrete dams), powerhouse analysis, turbine vibrations, and the relationship between dam and hydropower plant sustainability and operation. The current review covers the related research on the fluid mechanism in turbine units of hydropower plants, providing a perspective on better control of vibrations. Thus, the risks and failures can be better managed and reduced, which in turn will reduce hydropower plant operation costs and simultaneously increase the economical sustainability. Several research gaps were found, and the literature was assessed to provide more insightful details on the studies surveyed. Numerous future research directions are recommended.
Zaher Mundher Yaseen; Ameen Mohammed Salih Ameen; Mohammed Suleman Aldlemy; Ameen Mohammed Salih; Haitham Abdulmohsin Afan; Senlin Zhu; Ahmed Mohammed Sami Al-Janabi; Nadhir Al-Ansari; Tiyasha Tiyasha; Hai Tao. State-of-the Art-Powerhouse, Dam Structure, and Turbine Operation and Vibrations. Sustainability 2020, 12, 1676 .
AMA StyleZaher Mundher Yaseen, Ameen Mohammed Salih Ameen, Mohammed Suleman Aldlemy, Ameen Mohammed Salih, Haitham Abdulmohsin Afan, Senlin Zhu, Ahmed Mohammed Sami Al-Janabi, Nadhir Al-Ansari, Tiyasha Tiyasha, Hai Tao. State-of-the Art-Powerhouse, Dam Structure, and Turbine Operation and Vibrations. Sustainability. 2020; 12 (4):1676.
Chicago/Turabian StyleZaher Mundher Yaseen; Ameen Mohammed Salih Ameen; Mohammed Suleman Aldlemy; Ameen Mohammed Salih; Haitham Abdulmohsin Afan; Senlin Zhu; Ahmed Mohammed Sami Al-Janabi; Nadhir Al-Ansari; Tiyasha Tiyasha; Hai Tao. 2020. "State-of-the Art-Powerhouse, Dam Structure, and Turbine Operation and Vibrations." Sustainability 12, no. 4: 1676.
In stormwater management, it is important to accurately quantify the infiltration rates to solve urban runoff-related problems. This study proposes a method to improve estimates of the infiltration rate in permeable stormwater channels. As part of the analysis, five infiltration models were evaluated: the Kostiakov, Horton, modified Kostiakov, Philip and SCS (Soil Conservation Service) models. Infiltration tests with various initial water levels were performed on channel models with differing base width and side slopes. The results show that the addition of three parameters that describe the trapezoidal cross-sectional area, i.e. the depth, side slope and base width, in the infiltration models yielded better estimates of the infiltration rate. A comparison of the infiltration capacity values obtained from the models after the three parameters were added with those that were experimentally obtained, shows that the improved modified Kostiakov model is the most suitable model to predict infiltration rates in trapezoidal permeable stormwater channels.
Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf. Modified models for better prediction of infiltration rates in trapezoidal permeable stormwater channels. Hydrological Sciences Journal 2019, 64, 1918 -1931.
AMA StyleAhmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Badronnisa Yusuf. Modified models for better prediction of infiltration rates in trapezoidal permeable stormwater channels. Hydrological Sciences Journal. 2019; 64 (15):1918-1931.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf. 2019. "Modified models for better prediction of infiltration rates in trapezoidal permeable stormwater channels." Hydrological Sciences Journal 64, no. 15: 1918-1931.
Ahmed Mohammed Sami Al-Janabi. Urban Stormwater Management, Malaysian Experience (in Arabic). 2019 .
AMA StyleAhmed Mohammed Sami Al-Janabi. Urban Stormwater Management, Malaysian Experience (in Arabic). . 2019; ():.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi. 2019. "Urban Stormwater Management, Malaysian Experience (in Arabic)." , no. : .
The use of permeable stormwater channels has introduced concerns over the effects of infiltration on the hydraulic behavior of their flow and the effects of flow hydraulic conditions (e.g., the water level, channel section, flow velocity, and vegetation) on the channel infiltration capacity. A check dam system provides backwater ponding, which increases the flow water depth along a channel. In this study, a channel model was used to investigate the variation in the infiltration capacity of permeable stormwater channels under different flow hydraulic conditions. Increasing the downstream check dam height and using a grass cover increased the infiltration rate and cumulative infiltration because of the decreased velocity and increased flow depth. The presence of subsurface water did not affect the hydraulic characteristics of the channel flow but decreased the cumulative infiltration because of the fast saturation of the soil. An empirical equation was developed for predicting the infiltration capacity of grassed channels in which four hydraulic parameters (i.e., the water depth, base width, side slope, and velocity) are introduced to the modified Kostiakov model. The developed model was used to calculate the runoff reduction due to infiltration along a grassed channel with and without a check dam system. The percentage of infiltrated water increased from 8 to 14% with the check dam system. The developed model can be used to predict the infiltration capacity of permeable channels for improved stormwater management and provides a valuable decision support tool for permeable channel design.
Ahmed Mohammed Sami Al-Janabi; Badronnisa Yusuf; Abdul Halim Ghazali. Modeling the Infiltration Capacity of Permeable Stormwater Channels with a Check Dam System. Water Resources Management 2019, 33, 2453 -2470.
AMA StyleAhmed Mohammed Sami Al-Janabi, Badronnisa Yusuf, Abdul Halim Ghazali. Modeling the Infiltration Capacity of Permeable Stormwater Channels with a Check Dam System. Water Resources Management. 2019; 33 (7):2453-2470.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Badronnisa Yusuf; Abdul Halim Ghazali. 2019. "Modeling the Infiltration Capacity of Permeable Stormwater Channels with a Check Dam System." Water Resources Management 33, no. 7: 2453-2470.
Factors affecting the infiltration rate have been studied fairly well by many researches; however, the effects of the cross-section of a permeable stormwater channel on the surface water depth reduction due to infiltration and seepage have largely been neglected. In the present study, towards improving the efficiency of permeable channels, the effects of the three components of a trapezoidal section, namely, the water depth, side slope, and base width, on the infiltration and unsteady seepage rates were investigated. Laboratory studies using models of the channel with unsaturated soil were performed under ponding condition using various initial water levels, base widths, and side slopes for two soil textures, namely, sandy loam and loamy sand. The results showed that the rate of surface water depth reduction by infiltration and seepage increases with increasing water level irrespective of the base width and side slope. In addition, an increase of the side slope increases the infiltration rate, with the effect becoming more significant with increasing initial water level, while the effect of varying the base width is insignificant.
Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf. Effects of Cross-Section on Infiltration and Seepage in Permeable Stormwater Channels. Proceedings of EECE 2020 2018, 1495 -1509.
AMA StyleAhmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Badronnisa Yusuf. Effects of Cross-Section on Infiltration and Seepage in Permeable Stormwater Channels. Proceedings of EECE 2020. 2018; ():1495-1509.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf. 2018. "Effects of Cross-Section on Infiltration and Seepage in Permeable Stormwater Channels." Proceedings of EECE 2020 , no. : 1495-1509.
Maximization of infiltration and seepage rates is important to better control the quantity of stormwater to foster sustainable urban stormwater management. In this study, the effect of the cross-sectional flow area of a permeable channel on seepage rate was investigated to improve the efficiency of permeable stormwater channels. Physical models under ponding were used to examine seepage of earthen trapezoidal channels with various initial water levels, base widths, and side slopes. Regression analysis was used to develop an equation for predicting the rate of the unsteady seepage over time, and the equation was used to examine several cases of different flow cross-sectional areas and channel dimensions. The results showed that the channel side slope significantly affected the cumulative seepage volume. For a given top width, decreasing the base width and increasing the side slope resulted in an increase in the unsteady seepage rate.
Ahmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf; Thamer Ahmed Mohammed. Permeable Channel Cross Section for Maximizing Stormwater Infiltration and Seepage Rates. Journal of Irrigation and Drainage Engineering 2018, 144, 04018001 .
AMA StyleAhmed Mohammed Sami Al-Janabi, Abdul Halim Ghazali, Badronnisa Yusuf, Thamer Ahmed Mohammed. Permeable Channel Cross Section for Maximizing Stormwater Infiltration and Seepage Rates. Journal of Irrigation and Drainage Engineering. 2018; 144 (3):04018001.
Chicago/Turabian StyleAhmed Mohammed Sami Al-Janabi; Abdul Halim Ghazali; Badronnisa Yusuf; Thamer Ahmed Mohammed. 2018. "Permeable Channel Cross Section for Maximizing Stormwater Infiltration and Seepage Rates." Journal of Irrigation and Drainage Engineering 144, no. 3: 04018001.