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Journal articles on the topic 'Manning's roughness coefficient'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

PK Bora and TBS Rajput. "Spatial and Temporal Variability of Manning's n In Irrigation Furrows." Journal of Agricultural Engineering (India) 40, no. 3 (2003): 35–42. http://dx.doi.org/10.52151/jae2003403.1044.

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Manning's roughness coefficient, n, as a property of space is found to be variable. But its variability is assumed as insignificant in the design of irrigation systems. However, the variability may affect the performance of irrigation, particularly the distribution efficiency. Therefore, an understanding of the statistical behaviour of the variability of n in space and over the crop season may help in improving the models of irrigation system design. In this study, the variability of Manning's roughness coefficient in time and space along the furrow under potato crops was studied. Roughness co

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2

Lamichhane, Suraj, Nirajan Devkota, Sarita Dawadi, and Jebin Tamrakar. "Estimation of hydraulic parameter (Manning’s roughness coefficient) in mountainous river at middle stage of Hindu Kush Himalaya region." Journal of Innovations in Engineering Education 6, no. 1 (2023): 134–41. http://dx.doi.org/10.3126/jiee.v6i1.61092.

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Manning's roughness coefficient (n) holds significant importance within a hydrodynamic model, yet its value is notably subject to variation, influenced by both time and specific site conditions. Determining the appropriate value for 'n' is a challenging endeavour, particularly in natural watercourses, given the multitude of factors that impact this coefficient. The research unveils findings from a hydraulic model, examining the fluctuation of Manning’s roughness coefficient concerning discharge, thereby influencing the flow depth in the mountainous areas of Nepal situated within the middle sta

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3

Hadi Sahib, Jumana, ., and . "Prediction the Manning’s Coefficient by HEC-RAS for Al-Meshkab River." International Journal of Engineering & Technology 7, no. 4.37 (2018): 76. http://dx.doi.org/10.14419/ijet.v7i4.37.23620.

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The Manning's coefficient represents the roughness characteristics of the channel, which directly affects open channel calculations. In this study, it been calculated which estimation of Manning's coefficient (n) by some of the collected data .The remaining data is utilized for check of the model testing with actual data, which is called verification. The model was adopted by a one-dimensional mathematical by using the HEC-RAS program. The region was studied at the upstream of the Al-Meshkab Barrage, where data were collected in 2010. The coefficient of Manning's roughness (n) is given well ag

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4

Zhang, Shengtang, Yuanchen Liu, Jingzhou Zhang, Ying Liu, and Zhikai Wang. "Theory and preliminary experimental verification of the directional difference of overland flow resistance in distributed hydrological models." Water Supply 18, no. 6 (2018): 2142–50. http://dx.doi.org/10.2166/ws.2018.040.

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Abstract Overland flow is influenced by the spatial variability of the watershed surface and the distribution of vegetation in the process of confluence. Thus, Manning's roughness coefficient, in different directions on the slope, has different values. This causes different effects on the resistance to flow in the downstream direction of each grid cell, affecting the flow distribution among the grid cells of a distributed hydrological model. To show that the spatial variation of the overland vegetation had the effect of directional difference resistance to the overland flow, this study used an

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Sihag, Parveen, Balraj Singh, Md Azlin Bin Md Said, and H. Md Azamathulla. "Prediction of Manning's coefficient of roughness for high-gradient streams using M5P." Water Supply 22, no. 3 (2021): 2707–20. http://dx.doi.org/10.2166/ws.2021.440.

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Abstract The coefficient of Manning's roughness (n) has been generally implemented in the determination of depth and discharge in open channels and canals. This study unravels the novel idea and potential of Random Forest (RF), M5P, and Random Tree (RT) approaches to evaluate and predict the coefficient of Manning's roughness for hydraulic designing. To achieve this purpose, 42 observations were collected for high-gradient streams in Colorado, USA. All the observations were from boulder-bed, cobble and high gradient (S &gt; 0.002 m/m) streams within bank flows. In order to ascertain the be

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6

Ye, Aizhong, Zheng Zhou, Jinjun You, Feng Ma, and Qingyun Duan. "Dynamic Manning's roughness coefficients for hydrological modelling in basins." Hydrology Research 49, no. 5 (2018): 1379–95. http://dx.doi.org/10.2166/nh.2018.175.

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Abstract Manning's roughness coefficient (n) has a significant impact on routing in hydrological models. However, computational methods for dynamic roughness coefficients are of little concern in current research. Few studies have produced spatial-temporal distributions of the roughness coefficients in basins. In this study, a formula to calculate the n value was established based on a statistical analysis of estimated n values by Manning's formula. The routing model of a distributed hydrological model was then improved using the new formula to calculate n. The roughness coefficient is not a c

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7

Kung, Chen Shan. "Uncertainty in Dam Break Flow Simulation." Hydrology Research 20, no. 4-5 (1989): 249–56. http://dx.doi.org/10.2166/nh.1989.0019.

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The flow caused by a dam breaking across its entire length can be approximated by a one-dimensional, unsteady flow model in form of the St. Venant equations. In this model, the flow is governed by the river geometry and the river roughness, which is quantified by Manning's coefficient. The roughness characteristics are generally difficult to estimate under natural conditions. Thus, the estimates of the Manning's coefficient will in general be subject to uncertainty. In this paper, the uncertainty in the discharge and depth hydrographs due to the uncertainty in estimating the roughness characte

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8

Yang, Tsun-Hua, Yu-Chi Wang, Shun-Chung Tsung, and Wen-Dar Guo. "Applying micro-genetic algorithm in the one-dimensional unsteady hydraulic model for parameter optimization." Journal of Hydroinformatics 16, no. 4 (2013): 772–83. http://dx.doi.org/10.2166/hydro.2013.030.

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Selection of an appropriate value for Manning's roughness coefficient could significantly impact the accuracy of a hydraulic model. However, it is highly variable and depends on flow circumstances, such as water stage and flow quantity; a stream's geomorphology, such as the fluvial process and river meandering; and physical conditions, such as the channel surface roughness and irregularities. Nevertheless, choosing proper roughness coefficients is not easy, especially with limited information and time in a practical application. Even it is done for a specific event it may not apply to another

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9

Gautam, Arjun. "Determination of Manning's Roughness Coefficient in Bijayapur Irrigation Canal, Kaski, Nepal." Himalayan Journal of Applied Science and Engineering 2, no. 2 (2021): 14–23. http://dx.doi.org/10.3126/hijase.v2i2.43879.

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The discharge in irrigation canal is to be determined for the proper allocation of water to the fields as per the crop-water requirement. Manning’s roughness coefficient is one of the major important parameters for estimating discharge in open channel. The purpose of this research is to determine Manning’s roughness coefficient in open channel flow by means of measuring velocity, cross-section, bed slope using Manning’s equation. It also discusses how it varies along with various aspects of channel geometry and draws useful conclusion from the analysis. The investigation was carried out in the

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10

Gautam, Arjun. "Determination of Manning's Roughness Coefficient in Bijayapur Irrigation Canal, Kaski, Nepal." Himalayan Journal of Applied Science and Engineering 2, no. 2 (2021): 14–23. http://dx.doi.org/10.3126/hijase.v2i2.43243.

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The discharge in irrigation canal is to be determined for the proper allocation of water to the fields as per the crop-water requirement. Manning’s roughness coefficient is one of the major important parameters for estimating discharge in open channel. The purpose of this research is to determine Manning’s roughness coefficient in open channel flow by means of measuring velocity, cross-section, bed slope using Manning’s equation. It also discusses how it varies along with various aspects of channel geometry and draws useful conclusion from the analysis. The investigation was carried out in the

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11

Li, Yujian, Yixin Geng, and Liang Mao. "Calibration method for Manning's roughness coefficient for a river flume model." Water Supply 20, no. 8 (2020): 3597–603. http://dx.doi.org/10.2166/ws.2020.235.

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Abstract This paper takes the Tarim River as an example to study the selection of Manning's roughness coefficient (n) in numerical simulation and presents a new method for calibrating Manning's roughness coefficient of a flume model. The measured topographic data and hydraulic data obtained from the flume experiments are taken as the initial boundary conditions in flow simulation, and n value for a flume model of the Qiman reach of Tarim River is calibrated by using a CCHE2D model. The consistency between the simulated water surface and the measured water surface with different n value is comp

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Das, Animesh, and Sushant Kumar Biswal. "Numerical Modeling of Flow Pattern at a Right-angled River Bend Using CCHE2D Model." Scientific Research Communications 3, no. 1 (2023): 1–12. http://dx.doi.org/10.52460/src.2023.005.

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In this study, the CCHE2D model is used to analyse the flow pattern in a meander reach of the Gomati River. The finite volume method is used by the numerical model to solve the depth-averaged two-dimensional equations with 𝑘−𝜀turbulence closure. The numerical findings were compared with field data for two different flow rates in order to calibrate the CCHE2D model using various Manning's roughness coefficients. The results show that for the minimum and maximum discharges, a smaller Manning's roughness factor (0.015≥𝑛≥0.025)is more favorableto a higher Manning's roughness factor(0.030≤𝑛≤0.040).

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13

Alrammahi, Faris Sahib, Qais Hatem Mohammed Al-Madhlom, and Sanaa Abdulrazaq Jassim. "Evaluation of Manning's Coefficients for the Al-Adhaim River Basin in Iraq utilizing Modern Techniques." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21618–26. https://doi.org/10.48084/etasr.10246.

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The current study presents an innovative analysis that combines climate and land use data to assess changes in Manning's coefficient within the Al-Adhaim River Basin (ARB) from 2017 to 2023. The primary objective is to calculate the hydraulic roughness coefficient (Manning coefficient, n) and evaluate its variations in relation to climate and land use changes. The ArcGIS and HEC-RAS software were utilized for the spatial and hydraulic analysis, respectively, as well as to calculate the arithmetic average for the entire study area. The results indicate an increase in temperature, humidity, and

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14

Mohammadpour, Reza, Muhammad Kashfy Zainalfikry, Nor Azazi Zakaria, Aminuddin Ab Ghani, and Ngai Weng Chan. "Manning's roughness coefficient for ecological subsurface channel with modules." International Journal of River Basin Management 18, no. 3 (2019): 349–61. http://dx.doi.org/10.1080/15715124.2019.1672704.

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15

Sitaram, Nagaraj, and Achanta Ramakrishna Rao. "MANNING'S ROUGHNESS COEFFICIENT IN ALLUVIAL CHANNELS AFFECTED BY SEEPAGE." ISH Journal of Hydraulic Engineering 11, no. 3 (2005): 116–24. http://dx.doi.org/10.1080/09715010.2005.10514806.

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16

Roushangar, Kiyoumars, Mohammad Taghi Alami, and Seyed Mahdi Saghebian. "Modeling open channel flow resistance with dune bedform via heuristic and nonlinear approaches." Journal of Hydroinformatics 20, no. 2 (2018): 356–75. http://dx.doi.org/10.2166/hydro.2018.020.

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Abstract Flow resistance in open channels with dune bedform is a substantial issue due to the influence of dunes on the hydraulic roughness, which can affect the performance of hydraulic constructions. There are a number of nonlinear approaches that have been developed to predict the roughness coefficient in alluvial channels, such as developed equations based on the mean velocity or shear stresses. However, due to the multitude of factors influencing roughness, establishing an accurate determination of the roughness coefficient is difficult. This study applies gene expression programing (GEP)

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17

A.Merry, Marwa. "EXPERIMENTAL STUDY FOR DETERMINE MANNING'S COEFFICIENT WITH DIFFERENT SLOPES AND CHANNEL BED MATERIALS." Kufa Journal of Engineering 8, no. 3 (2017): 76–88. http://dx.doi.org/10.30572/2018/kje/8031160.

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Water resources and hydraulic engineering projects have been upward rapidly in all over the world, accordingly the prediction of roughness coefficient is essential criteria to design open channels, and related hydraulic structures. The aims of this research are to find out the effect of changing beds materials and discharge on coefficient of roughness (n), the beds that used in the tests are smooth which represented by original channel bed (steel plate), rough bed material which is a gravel bed and waved bed .The experimental work was performed in a rectangular flume with dimension of (15 m* 0

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18

TAMAI, Masahiro, and Satoshi TEDUKA. "NUMERICAL SIMULATION OF MANNING'S ROUGHNESS COEFFICIENT OF COMPOUND RIVER CHANNEL." PROCEEDINGS OF HYDRAULIC ENGINEERING 52 (2008): 769–74. http://dx.doi.org/10.2208/prohe.52.769.

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19

Harun-ur-Rashid, M. "Estimation of Manning's roughness coefficient for basin and border irrigation." Agricultural Water Management 18, no. 1 (1990): 29–33. http://dx.doi.org/10.1016/0378-3774(90)90033-u.

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20

Lavoie, Basile, and Tew-Fik Mahdi. "Manning's roughness coefficient determination in laboratory experiments using 2D modeling and automatic calibration." La Houille Blanche, no. 1 (February 2020): 22–33. http://dx.doi.org/10.1051/lhb/2020001.

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Reliable experimental data are essential for choosing and validating numerical models. Although numerous data sets have been presented in the literature, few have been made widely available to the scientific community. Additionally, these experimental data sets have generally given little attention to the determination of Manning's roughness coefficients. This paper addresses these two issues. Three channel configurations are studied: a flatbed channel, a channel with a triangular sill and a channel with a triangular abutment. Three increasing permanent discharges are used for each configurati

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21

Ahsan, Tasmiah, and M. A. Matin. "Determination of manning's roughness coefficient for dhaleshwari river using hec-ras." International Journal of Scientific Engineering and Technology 7, no. 2 (2018): 17. http://dx.doi.org/10.5958/2277-1581.2018.00006.2.

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22

Papaioannou, George, Lampros Vasiliades, Athanasios Loukas, and Giuseppe T. Aronica. "Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling." Advances in Geosciences 44 (April 26, 2017): 23–34. http://dx.doi.org/10.5194/adgeo-44-23-2017.

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Abstract. Probabilistic flood inundation mapping is performed and analysed at the ungauged Xerias stream reach, Volos, Greece. The study evaluates the uncertainty introduced by the roughness coefficient values on hydraulic models in flood inundation modelling and mapping. The well-established one-dimensional (1-D) hydraulic model, HEC-RAS is selected and linked to Monte-Carlo simulations of hydraulic roughness. Terrestrial Laser Scanner data have been used to produce a high quality DEM for input data uncertainty minimisation and to improve determination accuracy on stream channel topography re

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23

Mwendera, E. J., and J. Feyen. "Estimation of depression storage and Manning's resistance coefficient from random roughness measurements." Geoderma 52, no. 3-4 (1992): 235–50. http://dx.doi.org/10.1016/0016-7061(92)90039-a.

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24

Caro Camargo, Carlos Andrés, Oscar Fabián Pacheco Merchán, and Hans Paul Sánchez Tueros. "Calibration of Manning’s roughness in non-instrumented rural basins using a distributed hydrological model." DYNA 86, no. 210 (2019): 164–73. http://dx.doi.org/10.15446/dyna.v86n210.72506.

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The purpose of this research work was to calibrate the Manning's roughness coefficient in rural non-instrumented basins using a distributed hydrological model. The process consisted of the selection of several basins with vegetal cover of forests and grasslands, and its subsequent experimental numerical study, in which the hydrological response hydrograph of each reference basin was obtained from the HEC-HMS software and the hydrograph to be calibrated was the Iber software, which is a hydrodynamic model based on the two-dimensional Saint Venant equations, solved by the finite volume method. O

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Domeneghetti, A., A. Castellarin, and A. Brath. "Assessing rating-curve uncertainty and its effects on hydraulic model calibration." Hydrology and Earth System Sciences 16, no. 4 (2012): 1191–202. http://dx.doi.org/10.5194/hess-16-1191-2012.

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Abstract. This study considers the overall uncertainty affecting river flow measurements and proposes a framework for analysing the uncertainty of rating-curves and its effects on the calibration of numerical hydraulic models. The uncertainty associated with rating-curves is often considered negligible relative to other approximations affecting hydraulic studies, even though recent studies point out that rating-curves uncertainty may be significant. This study refers to a ~240 km reach of River Po and simulates ten different historical flood events by means of a quasi-twodimensional (quasi-2-D

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Domeneghetti, A., A. Castellarin, and A. Brath. "Assessing rating-curve uncertainty and its effects on hydraulic model calibration." Hydrology and Earth System Sciences Discussions 8, no. 6 (2011): 10501–33. http://dx.doi.org/10.5194/hessd-8-10501-2011.

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Abstract. This study considers the overall uncertainty affecting river flow measurements and proposes a framework for analysing the uncertainty of rating-curves and its effects on the calibration of numerical hydraulic models. The uncertainty associated with rating-curves is often considered negligible relative to other approximations affecting hydraulic studies, even though recent studies point out that rating-curves uncertainty may be significant. This study refers to a ∼240 km reach of River Po and simulates ten different historical flood events by means of a quasi-twodimensional (quasi-2-D

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Al-Asadi, Khalid, and Jennifer G. Duan. "Assessing methods for estimating roughness coefficient in a vegetated marsh area using Delft3D." Journal of Hydroinformatics 19, no. 5 (2017): 766–83. http://dx.doi.org/10.2166/hydro.2017.064.

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A Delft3D-FLOW model was used to simulate tidal flow in Davis pond marsh in Louisiana, USA. The study area is a freshwater marsh consisting of one main channel and floodplain. Vegetation-induced flow resistance greatly influences tidal flow dynamics in the marsh. This study evaluated eight approaches to estimate vegetation roughness, including two constant Manning's n values, four empirical relations for calculating n, and two methods for calculating Chezy's C values originally embedded in the Delft3D model. Simulated results of water surface elevation (WSE) were compared with the correspondin

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čubanová, Lea, Ján Rumann, Peter Dušička, and Alexandra Vidová. "Impact of different methods on the variability of the Manning's roughness coefficient in artificial channel." Acta Hydrologica Slovaca 25, no. 2 (2024): 250–59. https://doi.org/10.31577/ahs-2024-0025.02.0027.

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Amiri, Mohammad Javad, Mehdi Bahrami, Hossein Hamidifar, and Saeid Eslamian. "Modification of furrow Manning's roughness coefficient estimation by finite difference technique under surge and continuous flow." International Journal of Hydrology Science and Technology 6, no. 3 (2016): 226. http://dx.doi.org/10.1504/ijhst.2016.077390.

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Drisya, J., and D. Sathish Kumar. "Automated calibration of a two-dimensional overland flow model by estimating Manning's roughness coefficient using genetic algorithm." Journal of Hydroinformatics 20, no. 2 (2017): 440–56. http://dx.doi.org/10.2166/hydro.2017.110.

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Abstract Calibration is an important phase in the hydrological modelling process. In this study, an automated calibration framework is developed for estimating Manning's roughness coefficient. The calibration process is formulated as an optimization problem and solved using a genetic algorithm (GA). A heuristic search procedure using GA is developed by including runoff simulation process and evaluating the fitness function by comparing the experimental results. The model is calibrated and validated using datasets of Watershed Experimentation System. A loosely coupled architecture is followed w

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Alimoradi, Mahtab, Mohammad Reza Ekhtesasi, and Arash malekian. "Estimation of Manning's Roughness Coefficient by the Inverse Solving Method using Observational Data (Sanij River-Yazd, Iran)." Journal of Watershed Management Research 15, no. 29 (2024): 107–17. http://dx.doi.org/10.61186/jwmr.15.1.107.

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Hosokawa, Y., and K. Furukawa. "Surface Flow and Particle Settling in a Coastal Reed Field." Water Science and Technology 29, no. 4 (1994): 45–53. http://dx.doi.org/10.2166/wst.1994.0154.

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Hydraulic roughness of reed stems in shallow surface flow under low current velocity is discussed. The roughness coefficient, defined as a Manning's formula, depends upon depth and velocity in this flow. Depth and velocity, in turn, are altered by roughness through water surface slope. The interaction between these three parameters must be solved simultaneously for the prediction of the surface flow in a reed wetland. Stem roughness can be expressed as a function of Reynolds' number, similar to that for a single cylinder. Assigning this function, an iteration method easily gives us a suitable

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Termini, D., and T. Moramarco. "Application of entropic approach to estimate the mean flow velocity and Manning roughness coefficient in a high-curvature flume." Hydrology Research 48, no. 3 (2016): 634–45. http://dx.doi.org/10.2166/nh.2016.106.

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The entropy-based approach allows the estimation of the mean flow velocity in open channel flow by using the maximum flow velocity. The linear relationship between the mean velocity, umax, and the mean flow velocity, um, through the dimensionless parameter Φ(M), has been verified both in natural rivers and in laboratory channels. Recently, the authors of this study investigated the reliability of the entropy-based formula in a straight channel and under different bed and side-walls' roughness conditions. The present study aims to further validate the entropy-based approach and to explore the e

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Aide, Michael, Indi Braden, and Wesley Mueller. "Estimating Water Flow in Drainage Pipes." Transactions of the Missouri Academy of Science 42, no. 2008 (2008): 11–13. http://dx.doi.org/10.30956/0544-540x-42.2008.11.

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Drainage pipe effluent is frequently analyzed to determine the water composition to address nutrient or contaminant transport. The total effluent volume must be known in order to determine the total nutrient or contaminant discharge. These estimates of total effluent volumes may be accomplished with flow meters; however, equipment and labor costs may be prohibitive and a qualitative method may be a practical alternative. This manuscript outlines a mathematical approach for employing Manning's formula; in which, the cross-sectional area and wetted perimeter of partially filled conduits are dete

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Corato, G., T. Moramarco, and T. Tucciarelli. "Discharge estimation combining flow routing and occasional measurements of velocity." Hydrology and Earth System Sciences 15, no. 9 (2011): 2979–94. http://dx.doi.org/10.5194/hess-15-2979-2011.

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Abstract. A new procedure is proposed for estimating river discharge hydrographs during flood events, using only water level data at a single gauged site, as well as 1-D shallow water modelling and occasional maximum surface flow velocity measurements. One-dimensional diffusive hydraulic model is used for routing the recorded stage hydrograph in the channel reach considering zero-diffusion downstream boundary condition. Based on synthetic tests concerning a broad prismatic channel, the "suitable" reach length is chosen in order to minimize the effect of the approximated downstream boundary con

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Huang, Sui Liang. "Effects of using different sediment transport formulae and methods of computing Manning's roughness coefficient on numerical modeling of sediment transport." Journal of Hydraulic Research 45, no. 3 (2007): 347–56. http://dx.doi.org/10.1080/00221686.2007.9521768.

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Ebissa, G. K. Dr. K. S. Hari Prasad. "Estimation of open channel flow parameters by using optimization techniques." INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH Volume 5 | Issue 2 | May 2017, Volume 5 | Issue 2 | May 2017 (2017): Page Number(s) — 1049–1073. https://doi.org/10.5281/zenodo.583720.

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Open channel flow parameter estimation is an inverse problem, which involves the prediction of a function within a domain, given an error criterion with respect to a set of observed data. Various numerical methods have been developed to estimate open channel flow parameters. For this study, Genetic Algorithm optimization technique is selected. Because of its inherent characteristics, Genetic Algorithm optimization technique avoids the subjectivity, long computation time and ill-posedness often associated with conventional optimization techniques. The present study involves estimation of open c

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Farina, G., S. Alvisi, and M. Franchini. "Estimating discharge in rivers through the combined use of dimensionless isovels and point velocity measurements." Hydrology Research 48, no. 3 (2017): 616–33. http://dx.doi.org/10.2166/nh.2017.029.

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This paper presents a procedure for estimating discharge in a river cross-section based on the combined use of dimensionless isovels and point velocity measurements. Specifically, taking the Biot–Savart law on the magnetic field induced by an electric current in a wire as their basis as already done by other researchers, the authors propose a new formulation of the relationship characterizing the effect of the wetted perimeter on the range of velocities in a cross-section in order to take explicit account of roughness, expressed by means of Manning's coefficient. Once appropriately nondimensio

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Swathi, V., K. Srinivasa Raju, Murari R. R. Varma, and S. Sai Veena. "Automatic calibration of SWMM using NSGA-III and the effects of delineation scale on an urban catchment." Journal of Hydroinformatics 21, no. 5 (2019): 781–97. http://dx.doi.org/10.2166/hydro.2019.033.

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Abstract The study aims at calibration of the storm water management model (SWMM) with non-dominated sorting genetic algorithm-III (NSGA-III) for urban catchment in Hyderabad, India. The SWMM parameters calibrated were Manning's roughness coefficient (N), depression storage for pervious and impervious areas (DP and Di), sub-catchment width (W), curve number (CN), drying time (dry) of soil and percentage of imperviousness (I). The efficacy of calibration was evaluated by comparing the observed and simulated peak flows and runoff using goodness-of-fit indices. The calibration takes into consider

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Perdikaris, John, Bahram Gharabaghi, and Ramesh Rudra. "Reference Time of Concentration Estimation for Ungauged Catchments." Earth Science Research 7, no. 2 (2018): 58. http://dx.doi.org/10.5539/esr.v7n2p58.

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Accurate modelling of flood flow hydrographs in ungauged catchments is a challenging task due to large errors in the estimation of its response time using existing empirical equations. The time of concentration (Tc) is a key catchment response time parameter needed for forecasting of the peak discharge rate and the timing of the flood event. At least eight different definitions have been presented in the literature for the time of concentration. In this study, a new definition of “Reference Tc” is presented along with a practical procedure for its estimation using readily available basin catch

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Sutikno, Sigit, Eka Saputra, and Muhamad Yusa. "Model Hidrolika untuk Analisis Efektifitas Penyekatan Kanal di Lahan Gambut." JURNAL TEKNIK 15, no. 1 (2021): 76–84. http://dx.doi.org/10.31849/teknik.v15i1.5802.

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Peatland fires are a recurring phenomenon and become the biggest problem in peatland protection in Indonesia. Generally, peatlands in the dry season have limited water availability that may cause drought and fire. On the other hand, in the rainy season, the water in the canals is excessive that may cause floods. To overcome this problem, canal blocking should be made. This research simulates the water profile along the canal by hydraulic modeling using HEC-RAS to understand the effectiveness of canal blocking. Canal blocking at Sungai Tohor village was picked up as research site for modelling.

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Abdullah, Junaidah, Mohd Remy Rozainy Mohd Arif Zainol, Ali Riahi, et al. "Investigating the Relationship between the Manning Coefficients (n) of a Perforated Subsurface Stormwater Drainage Pipe and the Hydraulic Parameters." Sustainability 15, no. 8 (2023): 6929. http://dx.doi.org/10.3390/su15086929.

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Subsurface perforated pipes drain infiltrated stormwater runoff while attenuating the peak flow. The Manning roughness coefficient (n) was identified as a fundamental parameter for estimating roughness in various subsurface channels. Hence, in this work, the performance of a six-row non-staggered sand-slot perforated pipe as a sample of the subsurface drainage is investigated experimentally in a laboratory flume at Universiti Sains Malaysia (USM) aimed at determining the Manning roughness coefficients (n) of the pipe and assessing the relationship between the Manning’s n and the hydraulic para

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Ferreira, Edinilson de Castro, Alexson Caetano da Silva, Jaime Joaquim da Silva Pereira Cabral, and José Roberto Gonçalves de Azevedo. "Evaluation of hydrological parameters of the Goiana River basin in the State of Pernambuco using the automatic calibration tool of the hydrodynamic model PCSWMM in multiple fluviometric stations." Research, Society and Development 11, no. 2 (2022): e15011225331. http://dx.doi.org/10.33448/rsd-v11i2.25331.

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The objective of this study was to perform a sensitivity analysis and automatic calibration of the hydrological parameters of the Goiana river basin in the state of Pernambuco. A hydrological modeling structure for the basin was built using the PCSMMM (Personal Computer Storm Water Management Model) hydrodynamic model and the analyzes were carried out in 10 sub-basins. Based on the model developed for the basin, the resources available in the PCSWMM for sensitivity analysis and automatic calibration, known as SRTC (Sensitivity-based Radio Tuning Calibration), were explored initially to evaluat

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R.K. Singh, A. K. Mishra, and K. K. Satapathy. "Application of WEPP Hydrologic Simulation Model for Prediction of Rainfall and Runoff from Hilly Watersheds in Meghalaya." Journal of Agricultural Engineering (India) 46, no. 1 (2009): 16–22. http://dx.doi.org/10.52151/jae2009461.1359.

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In the present study, agriculture on the bench-terraced land was considered as one of the main alternatives to shifting cultivation. Considering the fact that most of the watersheds in the area are ungauged and sufficient database is lacking, modelling approach was adopted to quantify the soil erosion and runoff from the fields. Water Erosion Prediction Project (WEPP)-Watershed Model ver: 2002 was selected to describe the erosion processes on hill slopes considering its state-of-the-art technology. The model was reasonably calibrated based on a comparison between measured and simulated runoff

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Zhu, Xinghua, Bangxiao Liu, and Yue Liu. "New Method for Estimating Roughness Coefficient for Debris Flows." Water 12, no. 9 (2020): 2341. http://dx.doi.org/10.3390/w12092341.

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Flow resistance is a fundamental control of flow hydraulics in streams and rivers. In this paper, five dimensionless factors affecting the Manning roughness coefficient n and attributed to the external roughness coefficient n1 and the internal roughness coefficient n2 were analyzed comprehensively. And then, dimensionless factors affecting n1 and n2 with precise physical meanings were proposed. With a calculation method for roughness coefficient fitted and analyzed based on observation data from published research papers, the analysis results showed that the external resistance coefficient is

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Bonet, Enrique, Beniamino Russo, Ricard González, Maria Teresa Yubero, Manuel Gómez, and Martí Sánchez-Juny. "The FC Algorithm to Estimate the Manning’s Roughness Coefficients of Irrigation Canals." Agriculture 13, no. 7 (2023): 1351. http://dx.doi.org/10.3390/agriculture13071351.

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Freshwater scarcity has driven the integration of technological advancements and automation systems in agriculture in order to attempt to improve water-use efficiency. For irrigation canals, water-use efficiency is, in great measure, limited by the performance of management systems responsible for controlling the flow and delivering water to the farmers. Recent studies show a significant sensitivity of the results obtained from irrigation canal control algorithms with respect to the Manning’s roughness coefficient value, thus, highlighting the importance of its correct estimation to ensure an

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Corato, G., T. Moramarco, and T. Tucciarelli. "Combining flow routing modelling and direct velocity measurement for optimal discharge estimation." Hydrology and Earth System Sciences Discussions 8, no. 2 (2011): 2699–738. http://dx.doi.org/10.5194/hessd-8-2699-2011.

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Abstract. A new procedure is proposed for estimating river discharge hydrographs during flood events, using only water level data measured at a gauged site, as well as 1-D shallow water modelling and sporadic maximum surface flow velocity measurements. During flood, the piezometric level is surmised constant in the vertical plane of the river section, where the top of the banks is always above the river level, and is well represented by the recorded stage hydrograph. The river is modelled along the reach directly located downstream the upstream gauged section, where discharge hydrograph is sou

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Takata, Hiroshi, Shogo Obata, Tatsuro Sato, and Yukihiro Shimatani. "Back-Calculation of Manning’s Roughness Coefficient by 2D Flow Simulation and Influence of In-Channel Physical Parameters in a Mountain River, Japan." Water 16, no. 2 (2024): 320. http://dx.doi.org/10.3390/w16020320.

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This study attempts to back-calculate Manning’s roughness coefficients by repeating a two-dimensional flow simulation to fit the spatially and temporally dense river water-level data observed in Japan’s Yamatsuki River, a typical mountainous river with an average riverbed gradient of 1/50 and an average river width of 17.9 m. Furthermore, we aim to clarify the influence of the in-channel physical parameters on the coefficient of roughness obtained through the above method. In the Yamatsuki River, 16 water-level gauges were installed at intervals of about 40~80 m in the longitudinal direction i

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Li, Zhe, and Juntao Zhang. "Calculation of Field Manning’s Roughness Coefficient." Agricultural Water Management 49, no. 2 (2001): 153–61. http://dx.doi.org/10.1016/s0378-3774(00)00139-6.

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Mohamoud, Yusuf M. "Evaluating Manning's roughness coefficients for tilled soils." Journal of Hydrology 135, no. 1-4 (1992): 143–56. http://dx.doi.org/10.1016/0022-1694(92)90086-b.

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