Development of a framework for sand auditing of the Chaliyar River basin, Kerala, India using HEC-HMS and HEC-RAS model coupling

References

• Ako, T. A., Onoduku, U. S., Oke, S. A., Essien, B. I., Idris, F. N., Umar, A. N., & Ahmed, A. A. (2014). Environmental effects of sand and gravel mining on land and soil in Luku, Minna, Niger State, North Central Nigeria. Journal of Geosciences and Geomatics, 2(2), 42–49. https://doi.org/10.12691/jgg-2-2-1
   Google Scholar
• Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO.
   Google Scholar
• Ashraf, M. A., Maah, M. J., Yusoff, I., Wajid, A., & Mahmood, K. (2011). Sand mining effects, causes and concerns: A case study from Bestari Jaya, Selangor, Peninsular Malaysia. Scientific Research and Essays, 6(6), 1216–1231. https://doi.org/10.5897/SRE10.690
   Google Scholar
• Azarang, F., & Bajestan, M. S. (2015). Simulating the erosion and sedimentation of Karun Alluvial River in the Region of Ahvaz (southwest of Iran). American Journal of Engineering Research, 4(7), 233–245.
   Google Scholar
• Azarang, F., Telvari, A. R., Sedghi, H., & Bajestan, M. S. (2016). Application of HEC-RAS model for evaluating erosion and sedimentation of Karkheh River. Ecology, Environment and Conservation, 21(4), 49–60.
   Google Scholar
• Barman, B., Sarma, A. K., & Kumar, B. (2018). Mining pit migration of an alluvial channel: Experimental and numerical investigations. ISH Journal of Hydraulic Engineering, 26(4), 448–456. https://doi.org/10.1080/09715010.2018.1501775
   Google Scholar
• Basavarajappa, H. T., Manjunatha, M. C., & Jeevan, L. (2014). Sand mining, management and its environmental impact in Cauvery and Kabini River Basins of Mysore district, Karnataka, India using Geomatics Techniques. International Journal of Civil Engineering and Technology, 5(9), 169–180.
   Google Scholar
• Brownlie, W. R. (1981). Prediction of flow depth and sediment discharge in open channels (Report No. KH-R-43A). Pasadena, CA: W. M. Keck Laboratory of Hydraulics and Water Resources, California Institute of Technology.
   Google Scholar
• Carlile, P., Bui, E., & Moran, C. (2001). Estimating soil particle size distributions and percent sand, silt and clay for six texture classes using the Australian Soil Resource Information System point database. CSIRO Land and Water, Technical Report 29/01.
   Google Scholar
• Collins, B., & Dunne, T. (1990). Fluvial geomorphology and river-gravel mining: A guide for planners, case studies included. Special publication 98. California Department of Conservation, Division of Mines and Geology.
   Google Scholar
• Copeland, R. R. (1993). Numerical modeling of hydraulic sorting and armoring in Alluvial Rivers [PhD thesis]. University of Iowa. https://www.elibrary.ru/item.asp?id=5717439
   Google Scholar
• Engelund, F., & Hansen, E. (1967). A monograph on sediment transport in alluvial stream (pp. 1–63). Teknisk Forlag, Skelbrekgade.
   Google Scholar
• Gibson, S., Nygaard, C., & Sclafani, P. (2010). Mobile bed modeling of the Cowlitz River using HEC-RAS: Assessing flooding risk and impact due to system sediment. In 2nd joint federal interagency conference, June 27–July 1, Las Vegas, Nevada.
   Google Scholar
• Gibson, S. A., Pak, J. H., & Fleming, M. J. (2010). Modeling watershed and riverine sediment processes with HEC-HMS and HEC-RAS. In Watershed management conference, August 23–27, Madison, WI, United States, 1340–1349. https://doi.org/10.1061/41143(394)120.
   Google Scholar
• Gibson, S., Sánchez, A., Piper, S., & Brunner, G. (2017). New one-dimensional sediment features in HEC-RAS 5.0 and 5.1. In World Environmental and Water Resources Congress, May 21–25, Sacramento, CA. https://doi.org/10.1061/9780784480625.018
   Google Scholar
• Haghnazar, H., Sangsefidi, Y., Mehraein, M., & Tavakol-Davani, H. (2020). Evaluation of infilling and replenishment of river sand mining pits. Environmental Earth Sciences, 79(14), 362. https://doi.org/10.1007/s12665-020-09106-z
   Google Scholar
• Hossain, M., & Rahman, M. L. (1998). Sediment transport functions and their evaluation using data from large alluvial rivers of Bangladesh. In W. Summer, E. Klaghofer, & W. Zhang (Eds.), Modelling soil erosion, sediment transport and closely related hydrological processes (pp. 375–382). Vienna.
   Google Scholar
• Jose, M. K., Shantanu, K. Y., & Venkatesh, B. (2014). A study of effect of sand mining on riverine environment. In 19th International conference on hydraulics, water resources, coastal and environmental engineering HYDRO, December 18–20, MANIT, Bhopal, India, 7(4), 1378–1386.
   Google Scholar
• Kamboj, V., Kamboj, N., & Sharma, S. (2017). Environmental impact of river bed mining- A review. International Journal of Scientific Research and Reviews, 7(1), 504–520.
   Google Scholar
• Kerala State Land Use Board (KSLUB), Department of Planning and Economic Affairs. (2008). Land use map at 1:50,000 scale [data set]. Trivandrum: Office of the Land Use Commissioner, Headquarters.
   Google Scholar
• Kondolf, M. G. (1994). Geomorphic and environmental effects of instream gravel mining. Landscape and Urban Planning, 28(2-3), 225–243. https://doi.org/10.1016/0169-2046(94)90010-8
   Web of Science ®Google Scholar
• Ladson, A. R., & Judd, D. A. (2014). A review of the effect of floodplain gravel mining on river stability. In G. Vietz, I. D. Rutherford, & R. Hughes (Eds.), 7th Australian stream Management Conference (pp. 249–259). Townsville, Queensland.
   Google Scholar
• Latha, A., & Vasudevan, M. (2016). Kerala report, state of India’s rivers. In India rivers week, November 28–December 30, New Delhi.
   Google Scholar
• Ma, H., Nittrouer, J. A., Naito, K., Fu, X., Zhang, Y., Moodie, A. J., Wang, Y., Wu, B., & Parker, G. (2017). The exceptional sediment load of fine-grained dispersal systems: Example of the Yellow River, China. Science Advances, 3(5). https://doi.org/10.1126/sciadv.1603114
   Google Scholar
• Mattamana, B. A., Varghese, S., & Paul, K. (2013). River sand inflow assessment and optimal sand mining policy development. International Journal of Emerging Technology and Advanced Engineering, 3(3), 305–317.
   Google Scholar
• Maya, K., Santhosh, V., Padmalal, D., & Kumar, A. S. R. (2012). Impacts of mining and quarrying in Muvattupuzha River Basin, Kerala-An overview on its environmental effects. Bonfring International Journal of Industrial Engineering and Management Science, 2(1), 36–40.
   Google Scholar
• Meador, M. R., & Layher, A. O. (1998). Instream sand and gravel mining: Environmental issues and regulatory process in the United States. Fisheries, 23(11), 6–13. https://doi.org/10.1577/1548-8446(1998)023<0006:ISAGM>2.0.CO;2
   Web of Science ®Google Scholar
• Ministry of Natural Resources and Environment (NRE) and Department of Irrigation and Drainage Malaysia. (2009). River sand mining management guide. Kuala Lumpur: Department of Irrigation and Drainage (DID).
   Google Scholar
• Moriasi, D. N., Arnold, J. G, Van Liew, M. W., Bingner, R. L., Harmel, R. D, & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900. http://doi.org/10.13031/2013.23153
   Web of Science ®Google Scholar
• Oregon Department of Transportation (ODOT). (2014). Hydraulics design manual, . Geo-environmental Section, Highway Division.
   Google Scholar
• Padmalal, D., & Maya, K. (2014). River sand auditing: An example from SW India. In Sand mining: Environmental science and engineering (pp. 139–145). Springer. https://doi.org/10.1007/978-94-017-9144-1_9
   Google Scholar
• Padmalal, D., Maya, K., Sreebha, S., & Sreeja, R. (2008). Environmental effects of river sand mining: A case from the river catchments of Vembanad lake, Southwest coast of India. Environmental Geology, 54(4), 879–889. https://doi.org/10.1007/s00254-007-0870-z
   Web of Science ®Google Scholar
• Pak, J., Fleming, M., Scharffenberg, W., & Ely, P. (2008). Soil erosion and sediment yield modeling with the hydrologic modeling system (HEC-HMS). In R. W. J. Babcock & R. Walton (Eds.), World environmental and water resources congress (pp. 1–10). Honolulu. https://doi.org/10.1061/40976(316)362
   Google Scholar
• Patro, S., Chatterjee, C., Mohanty, S., Singh, R., & Raghuwanshi, N. S. (2009). Flood inundation modeling using MIKE FLOOD and remote sensing data. Journal of the Indian Society of Remote Sensing, 37(1), 107–118. https://doi.org/10.1007/s12524-009-0002-1
   Web of Science ®Google Scholar
• Pramanik, N., Panda, R. K., & Sen, D. (2010). One dimensional hydrodynamic modeling of river flow using DEM extracted river cross-sections. Water Resources Management, 24(5), 835–852. https://doi.org/10.1007/s11269-009-9474-6
   Web of Science ®Google Scholar
• Rinaldi, M., Wyżga, B., & Surian, N. (2005). Sediment mining in alluvial channels: Physical effects and management perspectives. River Research and Applications, 21(7), 805–828. https://doi.org/10.1002/rra.884
   Web of Science ®Google Scholar
• Rubey, W. W. (1933). Settling velocity of gravel, sand, and silt particles. American Journal of Science, s5-25(148), 325–338. https://doi.org/10.2475/ajs.s5-25.148.325
   Google Scholar
• Saleh, A., Abustan, I., Rozainy, M. R., & Sabtu, N. (2017). Optimal sand removal capacity for instream mining in Perak River, Malaysia. International Journal of Civil Engineering and Technology, 8(11), 278–286.
   Google Scholar
• Sathya, A., & Thampi, S. G. (2019). Modelling soil erosion in the Chaliyar River basin, Kerala. In 6th India water week. New Delhi, India, 70–71.
   Google Scholar
• Shaji, J., & Anilkuar, R. (2014). Socio-environmental impact of river sand mining: An example from Neyyar River, Thiruvananthapuram District of Kerala, India. IOSR Journal of Humanities and Social Science, 19(1), 01–07. https://doi.org/10.9790/0837-19150107
   Google Scholar
• Stewart, B. A., Woolhiser, D. A., Wischmeier, W. H., Caro, J. H., & Freere, M. H. (1975). Control of water pollution from cropland. Vol. I, Report EPA-600. Washington, DC: US Environmental Protection Agency.
   Google Scholar
• Suchitra, M. (2015, June). Cauvery gouged. Down to Earth, 143–148. https://www.downtoearth.org.in/coverage/cauvery-gouged-45273.
   Google Scholar
• Tadesse, A., & Dai, W. (2019). Prediction of sedimentation in reservoirs by combining catchment based model and stream based model with limited data. International Journal of Sediment Research, 34(1), 27–37. https://doi.org/10.1016/j.ijsrc.2018.08.001
   Web of Science ®Google Scholar
• Teo, F. Y., Noh, N., Ab Ghani, A., Zakaria, N. A., & Chang, C. K. (2017). River sand mining capacity in Malaysia. In 37th IAHR World Congress (pp. 538–546). Kuala Lumpur.
   Google Scholar
• Thakural, L. N., Kumar, S. A., & Ansari, M. I. (2018). Trend analysis of rainfall for the Chaliyar Basin, South India. International Journal for Research in Applied Science and Engineering Technology, 6(7), 91–100. https://doi.org/10.22214/ijraset.2018.7014
   Google Scholar
• United States Army Corps of Engineers (USACE-HEC). (2000). Hydrologic modelling system HEC-HMS technical reference manual, Davis, California.
   Google Scholar
• United States Army Corps of Engineers (USACE-HEC). (2006). Hydrologic modelling system HEC-HMS user’s manual, Davis, Version 4.2, Davis, California.
   Google Scholar
• United States Army Corps of Engineers (USACE-HEC). (2016). River analysis system HEC-RAS hydraulic reference manual, Version 5.0, Davis, California.
   Google Scholar
• United States Soil Conservation Service (SCS). (1975). Urban hydrology for small watersheds. Technical Release TR55, Washington, DC.
   Google Scholar
• White, W. R., Milli, H. & Crabbe, A. D. (1975). Sediment transport theories: A review. Proceedings of the Institution of Civil Engineers, 59(2), 265–292. https://doi.org/10.1680/iicep.1975.3740
   Google Scholar
• Williams, J. R. (1975). Sediment-yield prediction with universal equation using runoff energy factor. In Present and prospective technology for predicting sediment yield and sources, sediment-yield workshop, Oxford. USDA Sedimentation Laboratory, Mississippi.
   Google Scholar
• Wischmeier, W. H., & Smith, D. D. (1965). Prediction rainfall erosion losses from cropland east of the rocky mountains: A guide for selection of practices for soil and water conservation. US Department of Agriculture Handbook, No. 282, Washington.
   Google Scholar
• Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: A guide to conservation planning science. US Department of Agriculture Handbook, No. 537, Washington.
   Google Scholar
• Woodward-Clyde Consultants. (1976). Aggregate extraction in Yolo county – A study of impacts and management alternatives. Aggregate Resources Advisory Committee, County of Yolo Planning Department.
   Google Scholar
• Yuill, B. T., Gaweesh, A., Allison, M. A., & Meselhe, E. A. (2016). Morphodynamic evolution of a lower Mississippi River channel bar after sand mining. Earth Surface Processes and Landforms, 41(4), 526–542. https://doi.org/10.1002/esp.3846
   Web of Science ®Google Scholar