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River sand mining modelling and sust...

Bhattacharya, Raj Kumar.

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River sand mining modelling and sustainable practice = the Kangsabati River, India /

Record Type:	Electronic resources : Monograph/item
Title/Author:	River sand mining modelling and sustainable practice/ by Raj Kumar Bhattacharya, Nilanjana Das Chatterjee.
Reminder of title:	the Kangsabati River, India /
Author:	Bhattacharya, Raj Kumar.
other author:	Das Chatterjee, Nilanjana.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxxiii, 376 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Geomorphological thresholds and sand mining -- Sediment budget and mining area detection using RUSLE and SDR models -- Sediment analysis and mining intensity using G-stat, Grad-stat, Sed-log, LDF techniques -- Interruption on alluvial channel flow and sediment transport in quarried alluvial river: Application of different hydraulic techniques -- Impact of instream sand mining on river ecology using WQI, Biodiversity index, HSI, MLR -- Economic audit and Proposed sustainable sand mining using Optimization model and EIA.
Contained By:	Springer Nature eBook
Subject:	Sand and gravel mines and mining - India. -
Online resource:	https://doi.org/10.1007/978-3-030-72296-8
ISBN:	9783030722968

River sand mining modelling and sustainable practice = the Kangsabati River, India /
Bhattacharya, Raj Kumar.

River sand mining modelling and sustainable practicethe Kangsabati River, India /[electronic resource] :by Raj Kumar Bhattacharya, Nilanjana Das Chatterjee. - Cham :Springer International Publishing :2021. - xxxiii, 376 p. :ill., digital ;24 cm. - Environmental science and engineering,1863-5520. - Environmental science and engineering..

Introduction -- Geomorphological thresholds and sand mining -- Sediment budget and mining area detection using RUSLE and SDR models -- Sediment analysis and mining intensity using G-stat, Grad-stat, Sed-log, LDF techniques -- Interruption on alluvial channel flow and sediment transport in quarried alluvial river: Application of different hydraulic techniques -- Impact of instream sand mining on river ecology using WQI, Biodiversity index, HSI, MLR -- Economic audit and Proposed sustainable sand mining using Optimization model and EIA.

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.

ISBN: 9783030722968

Standard No.: 10.1007/978-3-030-72296-8doiSubjects--Topical Terms:

3500993
Sand and gravel mines and mining
--India.

LC Class. No.: TN939 / .B43 2021

Dewey Class. No.: 622.3622

River sand mining modelling and sustainable practice = the Kangsabati River, India /
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505 0 $a Introduction -- Geomorphological thresholds and sand mining -- Sediment budget and mining area detection using RUSLE and SDR models -- Sediment analysis and mining intensity using G-stat, Grad-stat, Sed-log, LDF techniques -- Interruption on alluvial channel flow and sediment transport in quarried alluvial river: Application of different hydraulic techniques -- Impact of instream sand mining on river ecology using WQI, Biodiversity index, HSI, MLR -- Economic audit and Proposed sustainable sand mining using Optimization model and EIA.
520 $a 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.
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650 2 4 $a Sustainable Development. $3 900447
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