Related Links
Regional Suspended Load Analysis Using the Watershed Characteristics in the Province of Hormozgan | ||
| پژوهش های آبخیزداری | ||
| Article 6, Volume 32, Issue 4 - Serial Number 125, January 2020, Pages 66-78 PDF (982.57 K) | ||
| Document Type: Research | ||
| DOI: 10.22092/wmej.2019.126052.1212 | ||
| Authors | ||
| Mostafa Jafari Ashourabadi* 1; Abdolrahim Jamal2 | ||
| 1M.Sc. Student, of Water Engineering, Sari Agricultural Sciences and Natural Resources University, Iran | ||
| 2Ph.D., of Water Engineering | ||
| Abstract | ||
| The present study is aimed at estimating the suspended load discharged from watersheds in the Province of Hormozgan. The mean annual suspended loads were considered as the dependent variable and 21 parameters of morphological and climatic factors were selected as the independent parameters. The data were collected from 19 hydrometry stations for a 21-years period (1991–2011). This analysis is presented in two steps; a principal component analysis (PCA) was further applied to extract the underlying factors (principal component) and use the hierarchical clustering analysis in order to identify homogeneous groups. Multi regression was performed to identify the contribution of each variable. Different clustering scenarios were considered for selecting the optimal number of homogeneity groups, and their overall impacts on cluster validation indices were assessed. These three scenarios include dependent variable, independent parameters and the combined variables. The performance of the models was evaluated using the coefficient of determination (R2) and the Nash-Sutcliffe model efficiency. The watersheds were divided into two clusters and multiple regression models were derived for each homogenous region. Eventually, the models with coefficients of determination of 0.78 and 0.84 were used to estimate the mean annual suspended load. It is recommended to study more watersheds with different condition to reach the plurality and improve the quality of these models for estimation of the suspended load in the ungauged watersheds. | ||
| Keywords | ||
| Estimation of suspended load; time series; drainage basin; clustering; multiple regression | ||
| References | ||
|
Adhami M, Najafinejad A, Sadoddin A, Abghari H. 2012. Regional suspended load analysis using watershed characteristics in the Gorgan-Rud and Ghare-Su river basins, Iran. M.Sc. Thesis. College of Range and Watershed Management. Gorgan University of Agricultural Sciences and Natural Resources. 152 p. (In Persian). Arabkhedri M, Zargar A. 1996. Regression model to estimate sediment of Northern Alborz Basin. 1th Erosion and Sediment National Conference. Tarbiat Modares University, Faculty of Natural Resources and Marine Sciences. 403– 418. (In Persian). Ashoori M, Yasi M. 2015. Investigation of different evaluation methods of sediment ratting curve using STM software. The 9th National Conference on World Environment, Tehran, Iran. Bina M, Ranjbaran L, Musavi-Jahromi H. 2010. Modeling of the suspended sediment in the upstream of the Karkheh River in ungauged stations. 8th International River Engineering Conference, Shahid Chamran University. 8 p. (In Persian). Dalir P, Cash R, Gholami V. 2015. The most important factors related Nvlyd forest roads in the forests of Northern Iran deposition. Journal of Environmental Degradation. 2: 13–23. Faqfouri Z, Arman N, Faraji M, Khorsandi Z. 2017. Determination of characteristic affecting in sediment using spatial methods (case study: Seyed Abad Basin). Journal of Watershed Engineering and Management. 9(2): 190– 204. (In Persian). Farahi G, Khodashenas SR, Alizadeh A. 2011. Sediment estimation of northern watersheds of khorasan province using fuzzy regression model. Iran-Watershed Management Science and Engineering. 5: 11–24. Ghorbani MA, Fakheri Fard A, Nemati S, Tolouei S. 2009. Determining homogeneous regions of spatial distribution of suspended load in Aji-Chai river basin. Water and Soil Science Journal. 2(9): 15– 24. (In Persian). Grauso S, Pasanisi F, Tebano C, Grillini M, Peloso A. 2018. Investigating the sediment yield predictability in some Italian Rivers by means of hydro-geomorphometric variables. Geosciences. 8: 248– 267 Grubbs F. 1969. Procedures for detecting outlying observations in samples. Technimetrics. 11 (1): 1– 21. Hakimkhani Sh. 1998. Provide multivariate regression model based on effective characteristic on suspended sediment of lake Urmia watersheds. M.Sc. Thesis. College of Agriculture & Natural Resources, University of Tehran. 212 p (In Persian). He Q. 1999. A review of clustering algorithms as applied in IR. Graduate School of Library and Information Science University of Illinois at Urbana-Champaign. Regional Water Company of Hormozgan. 2018. Available from: http://www.hrrw.ir/. Kheyrfam H, Vafakhah M. 2015. Evaluation of gamma test and Andrew curves to estimate suspended sediment load in southern and southeastern watersheds of the Caspian Sea. Journal of Watershed Management Research. 6 (11): 47– 58. (In Persian). Kheyrfam H, Mokarram-Kashtiban S. 2019. A regional suspended load yield estimation model for ungauged watersheds. Journal Water Science and Engineering. 11 (4): 328– 337. Nosrati K, Imeni S, Talari A. 2018. Regional analysis of suspended sediment load using principal components regression method in Sefidrood Drainage Basin. Journal Management System. 71 (3): 809– 827. (In Persian). Raju KS, Nagesh Kumar D. 2010. Multicriterion analysis in engineering and management. Prentice Hall of India, New Delhi. Ramezanipour E, Mosaedi A, Mesdaghi M. 2015. Determination of regional relationships of suspended sediment discharge based on watershed characteristic in Mashhad and Nyshabour regions. M.Sc. Thesis. Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad. 139 p. (In Persian). Roman DC, Vogel RM, Schwarz GE. 2012. Regional regression models of watershed suspended sediment discharge for the eastern United States. Journal of Hydrology. 472: 53– 62. Rostami M, Ardeshi A, Moradi M, Arabkhedri M. 2002. Predict basin suspended sediments by comparing cluster and fuzzy methods. 6th International River Engineering Conference, Ahwaz. (In Persian). Tryon RC. 1939. Cluster analysis. New York, McGraw-Hill. Tucker R, McCollum RC. 1997. Exploratory factor analysis. University of Illinois. Walling DE, Collins AL, Stroud R. 2008. Tracing suspended sediment and particular phosphorus in catchments. Journal of Hydrology. 350: 274–289. Waling, DE. 1988. Erosion and sediment yield flood frequency analysis. Hydrological Science Journal, 30: 113–141. Wang H, Liu Q, Tu Y. 2005. Interpretation of partial least-squares regression models with varimax rotation. Computational Statistics & Data Analysis. 48: 207– 219. Wang S, Yan Y, Li Y. 2012. Spatial and temporal variations of suspended sediment deposition in the alluvial reach of the upper Yellow River from 1952 to 2007. Catena. 92: 30– 37. | ||
|
Statistics Article View: 748 PDF Download: 856 |
||
Journal management system. designed by sinaweb