Integrated water assessment and modelling: A bibliometric analysis of trends in the water resource sector
| dc.contributor.author | Zare, Fateme | |
| dc.contributor.author | Elsawah, Sondoss | |
| dc.contributor.author | Iwanaga, Takuya | |
| dc.contributor.author | Jakeman, Anthony | |
| dc.contributor.author | Pierce, Suzanne A. | |
| dc.date.accessioned | 2017-07-21T04:09:40Z | |
| dc.date.available | 2017-07-21T04:09:40Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | There are substantial challenges facing humanity in the water and related sectors and purposeful integration of the disciplines, connected sectors and interest groups is now perceived as essential to address them. This article describes and uses bibliometric analysis techniques to provide quantitative insights into the general landscape of Integrated Water Resource Assessment and Modelling (IWAM) research over the last 45 years. Keywords, terms in titles, abstracts and the full texts are used to distinguish the 13,239 IWAM articles in journals and other non-grey literature. We identify the major journals publishing IWAM research, influential authors through citation counts, as well as the distribution and strength of source countries. Fruitfully, we find that the growth in numbers of such publications has continued to accelerate, and attention to both the biophysical and socioeconomic aspects has also been growing. On the other hand, our analysis strongly indicates that the former continue to dominate, partly by embracing integration with other biophysical sectors related to water – environment, groundwater, ecology, climate change and agriculture. In the social sciences the integration is occurring predominantly through economics, with the others, including law, policy and stakeholder participation, much diminished in comparison. We find there has been increasing attention to management and decision support systems, but a much weaker focus on uncertainty, a pervasive concern whose criticalities must be identified and managed for improving decision making. It would seem that interdisciplinary science still has a long way to go before crucial integration with the non-economic social sciences and uncertainty considerations are achieved more routinely. | |
| dc.format | 38 pages | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Zare, F., Elsawah, S., Iwanaga, T., Jakeman, A.J., Pierce, S.A., Integrated water assessment and modelling: A bibliometric analysis of trends in the water resource sector, Journal of Hydrology (2017), doi: http://dx.doi.org/10.1016/j.jhydrol.2017.07.031 | |
| dc.identifier.issn | 00221694 | |
| dc.identifier.uri | http://hdl.handle.net/1885/119432 | |
| dc.provenance | Author's post-print on open access repository after an embargo period of between 12 months and 48 months. (viewed 21/07/2017) | |
| dc.source | Journal of Hydrology | |
| dc.subject | Integrated assessment and modelling | |
| dc.subject | Bibliometric | |
| dc.subject | Literature review | |
| dc.subject | Research trends | |
| dc.subject | Transdisciplinary | |
| dc.title | Integrated water assessment and modelling: A bibliometric analysis of trends in the water resource sector | |
| dc.type | Journal article | |
| dcterms.accessRights | Open Access | |
| dcterms.dateAccepted | 2017-07-14 | |
| local.contributor.affiliation | Fenner School of Environment and Society, Australian National University, Canberra, Australia | |
| local.contributor.affiliation | School of Engineering and Information Technology, University of New South Wales, Canberra, Australia | |
| local.contributor.affiliation | Texas Advanced Computing Centre, Jackson School of Geosciences, University of Texas at Austin, USA | |
| local.identifier.doi | 10.1016/j.jhydrol.2017.07.031 | |
| local.type.status | Accepted Version |
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