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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
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 Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Water
Jahr:
2018
Band / Volume:
10
Heft / Issue:
1
Seitenangaben Beitrag:
Article No. 16, 24 pages
Nachgewiesen in:
Scopus; Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3390/w10010016
WWW:
http://dx.doi.org/10.3390/w10010016
Verlag / Institution:
Molecular Diversity Preservation International (MDPI)
Verlagsort:
Basel, Switzerland
E-ISSN:
2073-4441
Impact Factor:
2,069
Copyright Informationen:
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-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
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