River sand mining modelling and sustainable practice : the Kangsabati River, India / Raj Kumar Bhattacharya, Nilanjana Das Chatterjee.
2021
TN939 .B43 2021
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
River sand mining modelling and sustainable practice : the Kangsabati River, India / Raj Kumar Bhattacharya, Nilanjana Das Chatterjee.
ISBN
9783030722968 (electronic bk.)
3030722961 (electronic bk.)
3030722953
9783030722951
3030722961 (electronic bk.)
3030722953
9783030722951
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-72296-8 doi
Call Number
TN939 .B43 2021
Dewey Decimal Classification
622/.3622
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 11, 2021).
Added Author
Das Chatterjee, Nilanjana, author
Series
Environmental science and engineering (Springer (Firm)), 1863-5520
Available in Other Form
River sand mining modelling and sustainable practice.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
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.
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.