River Sand Mining Modelling And Sustainable Practice - Bhattacharya Raj Kumar; Das Chatterjee Nilanjana | Libro Springer 08/2021 - HOEPLI.it

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bhattacharya raj kumar; das chatterjee nilanjana - river sand mining modelling and sustainable practice

River Sand Mining Modelling and Sustainable Practice The Kangsabati River, India


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Lingua: Inglese


Pubblicazione: 08/2021
Edizione: 1st ed. 2021


Worldwide demand for sand and gravel is increasing daily, as the need for these materials continues to rise, for example in the construction sector, in land filling and for transportation sector based infrastructural projects. This results in over-extraction of sand from channel beds, and hampers the natural renewal of sediment, geological setup and morphological processes of the riverine system. 

In India, illegal sand mining (of alluvial channels) and gravel mining (of perennial channels) are two anthropogenic issues that negatively affect the sustainable drainage system. Along the Kangsabati River in India, the consequences of sand mining are very serious. The construction of Mukutmonipur Dam (1958) on the river causes huge sediment deposition along the middle and downstream areas, these same areas are also intensely mined for sand (instream and on the flood plain). Geospatial models are applied in order to better understand the state and the resilience of stream hydraulics, morphological and river ecosystem variables during pre-mining and post-mining stages, using micro-level datasets of the Kangsabati River. 

The book also includes practicable measures to minimize the environmental consequences of instream mining in respect to optimum sand mining. It discusses the threshold limits of each variable in stream hydraulics, morphological and river ecological regime, and also discusses the most affected variables. Consequently, all outputs will be very useful for students, researchers, academicians, decision makers and practitioners and will facilitate applying these techniques to create models for other river basins.


Chapter - 1 Introduction
1.1 River sand mining 
1.2 Past work on river sand mining
1.3 Past works on river sand mining in India
1.4 Sand: mineralogical structure, origin and types
1.5 Environmental sensitivity of sand
1.6 Economic significance 
1.7 Global challenge for sustainable sand mining during 21st century
1.8 Scope of the present study
1.9 The study area
Chapter – 2 Geomorphological thresholds and sand mining
2.1 Types of river sand mining
2.2 Methods of sand mining 
2.3 Sand mining in alluvial Non-perennial River: process and generation 
2.4 Sand mining in Kangsabati River: Background and mining sites
2.5 Geographical setting of River Kangsabati: a tropical non perennial river 
       2.5.1 Drainage
       2.5.2 Geological setup
       2.5.3 Geomorphic setup
       2.5.4 Soil class
       2.5.5 Climate
       2.5.6 Slope and elevation
       2.5.7 Land use and land cover
      2.5.8 Demographic setup along the basin to show the demand for sand
Chapter – 3 Sediment budget and mining area detection using RUSLE and SDR models
3.1 Introduction
3.2 Sediment source
       3.2.1 Soil loss estimation (RUSLE)
       Methodology and mapping
       RUSLE parameter Estimation
                   Rainfall Erosivity Factor (R)
                   Soil Erodibility Factor (K)
                   Slope Length and Slope Steepness Factor (Ls)
                   Cover Management Factor (C)
                   Support Practice Factor (P)
       Results and Discussions
                   Estimation of potential soil erosion
                   Sub basin wise potential annual soil loss estimation
                   Sub basin wise mean Soil erosion probability zones
                   Correlation of sub basin wise land use/land covers
                             (LULC) and basin area
                                   Compare the Land use wise mean soil 
                                         erosion of each sub basin during 2002 and 2016
                                   Basin area wise soil loss estimate during 
                                            2002 and 2016
            RUSLE findings
       3.2.2 Sediment Delivery Ratio (SDR)
       Methodology and Mapping
                    Estimation of ß coefficient and travel time (ti)
                     Land use and land cover (à coefficient)
                     Slope Factor (si)
                     Flow velocity (vi)
                     Length of segments (li)
                     Basin specific parameter (ß)
     Results and Discussions
                  Delineation of Sediment Delivery Ratio (SDR)
                  Sub basin wise potential annual Sediment Delivery 
                   Validation of SDR Estimation
                                    Drainage area and Sediment Ratio
                                    Topographical factors and Sediment
                                             Delivery Ratio
       3.2.3 Estimation of delineation of Sediment Yield zone
       Sub basin wise potential annual Sediment Yield
       3.2.4 Findings of sources estimation of sediment
3.3 Sediment sinks
       3.3.1 Sand mining
        River sand mining in the study area
                                  3.3.1. 2.1 Instream mining (Year wise extraction rate and
                                  Mining sites)

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Altre Informazioni



Condizione: Nuovo
Collana: Environmental Science and Engineering
Dimensioni: 235 x 155 mm Ø 781 gr
Formato: Copertina rigida
Illustration Notes:20 Illustrations, black and white
Pagine Arabe: 376
Pagine Romane: xxxiii

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