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Title:

Variability and Trend Detection in the Sediment Load of the Upper Indus River.

Document type:
Zeitschriftenaufsatz
Author(s):
Ateeq Ur Rehman, Sardar; Bui, Minh Duc; Rutschmann, Peter
Abstract:
Water reservoirs planned or constructed to meet the burgeoning energy and irrigation demands in Pakistan face a significant loss of storage capacity due to heavy sediment load from the upper Indus basin (UIB). Given their importance and the huge investment, assessments of current UIB sediment load and possible future changes are crucial for informed decisions on planning of optimal dams’ operation and ensuring their prolonged lifespan. In this regard, the daily suspended sediment loads (SSL...     »
Keywords:
sediment pattern; sediment load trend; sediment transport estimation; upper Indus River; wavelet neural network; Mann–Kendall test; Sen’s slop test; April sediment load
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
Water
Year:
2018
Journal volume:
10
Journal issue:
1
Pages contribution:
Article No. 16, 24 pages
Covered by:
Scopus; Web of Science
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.3390/w10010016
WWW:
http://dx.doi.org/10.3390/w10010016
Publisher:
Molecular Diversity Preservation International (MDPI)
Publisher address:
Basel, Switzerland
E-ISSN:
2073-4441
Impact Factor:
2,069
Copyright statement:
Open Access Copyright: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Format:
Text
CC license:
by, http://creativecommons.org/licenses/by/4.0
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