Neu Erschienen: 01.08.2021 Abbildung von Bhattacharya / Das Chatterjee | River Sand Mining Modelling and Sustainable Practice | 1. Auflage | 2021 | beck-shop.de

Bhattacharya / Das Chatterjee

River Sand Mining Modelling and Sustainable Practice

The Kangsabati River, India

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117,69 €

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auch verfügbar als eBook (PDF) für 106.99 €

Fachbuch

Buch. Hardcover

1st ed. 2021. 2021

xxxiii, 376 S. 20 s/w-Abbildungen, 142 Farbabbildungen, Bibliographien.

In englischer Sprache

Springer. ISBN 978-3-030-72295-1

Format (B x L): 15,5 x 23,5 cm

Gewicht: 775 g

Das Werk ist Teil der Reihe: Environmental Science and Engineering

Produktbeschreibung

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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