Increasing nitrogen export to sea: A scenario analysis for the Indus River.

Indus River Nitrogen sources Representative concentration pathways River export of nitrogen (N) Shared socio-economic pathways Sub-basins

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Dec 2019
Historique:
received: 01 02 2019
revised: 19 07 2019
accepted: 26 07 2019
entrez: 24 11 2019
pubmed: 24 11 2019
medline: 24 11 2019
Statut: ppublish

Résumé

The Indus River Basin faces severe water quality degradation because of nutrient enrichment from human activities. Excessive nutrients in tributaries are transported to the river mouth, causing coastal eutrophication. This situation may worsen in the future because of population growth, economic development, and climate change. This study aims at a better understanding of the magnitude and sources of current (2010) and future (2050) river export of total dissolved nitrogen (TDN) by the Indus River at the sub-basin scale. To do this, we implemented the MARINA 1.0 model (Model to Assess River Inputs of Nutrients to seAs). The model inputs for human activities (e.g., agriculture, land use) were mainly from the GLOBIOM (Global Biosphere Management Model) and EPIC (Environmental Policy Integrated Model) models. Model inputs for hydrology were from the Community WATer Model (CWATM). For 2050, three scenarios combining Shared Socio-economic Pathways (SSPs 1, 2 and 3) and Representative Concentration Pathways (RCPs 2.6 and 6.0) were selected. A novelty of this study is the sub-basin analysis of future N export by the Indus River for SSPs and RCPs. Result shows that river export of TDN by the Indus River will increase by a factor of 1.6-2 between 2010 and 2050 under the three scenarios. >90% of the dissolved N exported by the Indus River is from midstream sub-basins. Human waste is expected to be the major source, and contributes by 66-70% to river export of TDN in 2050 depending on the scenarios. Another important source is agriculture, which contributes by 21-29% to dissolved inorganic N export in 2050. Thus a combined reduction in both diffuse and point sources in the midstream sub-basins can be effective to reduce coastal water pollution by nutrients at the river mouth of Indus.

Identifiants

pubmed: 31756824
pii: S0048-9697(19)33554-5
doi: 10.1016/j.scitotenv.2019.133629
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133629

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Mengru Wang (M)

Water Systems and Global Change Group, Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB Wageningen, the Netherlands. Electronic address: mengru.wang@wur.nl.

Ting Tang (T)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Peter Burek (P)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Petr Havlík (P)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Tamás Krisztin (T)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Carolien Kroeze (C)

Water Systems and Global Change Group, Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB Wageningen, the Netherlands.

David Leclère (D)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Maryna Strokal (M)

Water Systems and Global Change Group, Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB Wageningen, the Netherlands.

Yoshihide Wada (Y)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Yaoping Wang (Y)

Institute for a Secure and Sustainable Environment, University of Tennessee, Knoxville, United States of America.

Simon Langan (S)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria; International Water Management Institute, PO Box 2075, Colombo, Sri Lanka.

Classifications MeSH