Engineering and Technology in India

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Environmentally Sustainable Sand Mining Based on GIS based Sediment Yield Estimation


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1 Department of Civil Engineering, Jai Narayan Vyas University, Jodhpur (Rajasthan), India
     

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Rampant urbanization, which happens to be the major cause for sand demand is responsible for unsustainable extraction of sand from dried and sometimes even wet river beds. Demand for sand from construction sector in India is expected to grow from 630 million tonne in 2014 to 1.4 billion tonne in 2020 (material usage report). Out of different sources like, river sand, ocean sand, dessert sand, manufactured sand, the river sand is most preferred because of mineralogical properties and grain structure, easy local availability and low cost. This has led to rampant, regulated and unregulated, sand mining in most of the reservoirs and river beds. Though removal of sand/sediments from riverbeds and reservoir beds is essential to prevent shallowing and consequent widening of river bed and reduction of capacity of reservoir. In absence of yield estimation models sand mining leases are allotted where amount of sand mined is decided as 3m from river or 1 m above water table, whichever is less. This may not be environmentally sustainable and may lead of medium to long term changes in riverbed profile and consequent negative environmental impact.

Keywords

Environmentally, Sustainable, Sand Mining Based, GIS.
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  • Almendinger, J. E. (2014). Use of the soil and water assessment tool to scale sediment delivery from field to watershed in an agricultural landscape with topographic depressions. J. Environ. Qual., 43 (1) : 9-17.

  • Angima, S. A. (2003). Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agric. Ecosyst. &Environ. , 97 (1) : 295 - 308.

  • Arnold, J. G. (2012). SWAT: Model use, calibration and validation. Trans. ASAE , 55 : 1491-1508.

  • Brook, H. A. (2011). The impact of land use/land cover change on hydrological components due to resettlement activity: SWAT Model Approach. Internat. J. Ecol. & Environ. Sci., 37 : 49 - 60.

  • Foster, G. A. (1981). Estimating erosion and sediment yield on field-sized areas. Trans. ASAE , 24 : 1253—1262.

  • Gassman, P. W. (2007). The soil and water assessment tool: historical development, applications and future research directions. Trans. ASAE , 50 (4) : 1211 - 1250.

  • Mitra, M.A. (2015). GIS in demarcation, management and planning of sand mining zone. Internat. J. Scientific Engg. & Res., 3 (10) : 137-143.

  • Padmalal, D.A. (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.

  • Renard, K.G. (1997). Predicting soil erosion by water : A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). 703pp.

  • Sreebha, S. A. (2011). Environmental impact assessment of sand mining from the small catchment rivers in the Southwestern Coast of India: a case study. Environ. Mgmt., 47 : 130-140.

  • Williams, J.A. (1984). A modeling approach to determining the relationship between erosion and soil productivity. Trans. Asae., 27 (1) : 129—144.

  • Winchell, M.A. (2007). ArcSWAT interface for SWAT2005 User’s guide. Texas Agricultural Experiment Station and United States Department of Agriculture, Temple, TX .

  • Winchell, M. A. (2007). ArcSWAT interface for SWAT2005—User’s Guide. Blackland Research Center, Texas Agricultural Experiment Station and Grassland. Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.

  • Winchell, M.A. (2013). ArcSWAT interface for SWAT2012: user’s guide. Blackland Research and Extension Center, Texas Agrilife Research. Grassland. Soil and Water Research Laboratory, USDA Agricultural Research Service, Texas.

  • Wischmeier, W. H. (1960). A universal soil-loss equation to guide conservation farm planning. Transactions 7th int. Congr. Soil Sci. , 1 : 418 - 425.

  • Wischmeier, W. H. (1965). Predicting rainfall-erosion losses from cropland east of the Rocky Mountains. Agriculture Handbook, 282.

  • WEBLIOGRAPHY

  • www.gdex.cr.usgs.gov/gdex.

  • www.globalweather.tamu.edu.


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  • Environmentally Sustainable Sand Mining Based on GIS based Sediment Yield Estimation

Abstract Views: 695  |  PDF Views: 4

Authors

Shrikant Ojha
Department of Civil Engineering, Jai Narayan Vyas University, Jodhpur (Rajasthan), India
Sangeeta Choudhary
Department of Civil Engineering, Jai Narayan Vyas University, Jodhpur (Rajasthan), India

Abstract


Rampant urbanization, which happens to be the major cause for sand demand is responsible for unsustainable extraction of sand from dried and sometimes even wet river beds. Demand for sand from construction sector in India is expected to grow from 630 million tonne in 2014 to 1.4 billion tonne in 2020 (material usage report). Out of different sources like, river sand, ocean sand, dessert sand, manufactured sand, the river sand is most preferred because of mineralogical properties and grain structure, easy local availability and low cost. This has led to rampant, regulated and unregulated, sand mining in most of the reservoirs and river beds. Though removal of sand/sediments from riverbeds and reservoir beds is essential to prevent shallowing and consequent widening of river bed and reduction of capacity of reservoir. In absence of yield estimation models sand mining leases are allotted where amount of sand mined is decided as 3m from river or 1 m above water table, whichever is less. This may not be environmentally sustainable and may lead of medium to long term changes in riverbed profile and consequent negative environmental impact.

Keywords


Environmentally, Sustainable, Sand Mining Based, GIS.

References