Details
| Original language | English |
|---|---|
| Article number | 355 |
| Journal | Water (Switzerland) |
| Volume | 11 |
| Issue number | 2 |
| Early online date | 20 Feb 2019 |
| Publication status | Published - Feb 2019 |
Abstract
For river basin management plans (RBMPs), measures are aggregated from smaller spatial units (e.g., water bodies) to the catchment or basin scale. River basin management plans measures in integrated management are evaluated using multiple criteria, e.g., ecological and socio-economiccriteria, etc. Therefore, aggregation often combines spatial analysis and multi-criteria decision analysis (MCDA). Herein, we investigate: (1) the effect of applying different aggregation pathways on the outcome of the RBMP using the technique for order of preference by similarity to ideal solution (TOPSIS) as an MCDA method, (2) the scaling effects considering water body, sub-catchment, and river basin scales, and (3) the effect of using global and local criteria weighing on the final ranking of alternatives. We propose two approaches to aggregate ranks for the entire basin: using non-dominated alternatives only and using a normalized TOPSIS relative closeness value. The results show no variation in the final non-dominated alternative for both aggregation pathways. However, we note rank reversal among the dominated alternatives. These results suggest that scaling effects need to be considered in spatial MCDA.
Keywords
- Criteria aggregation, Multi-criteria decision analysis, River basin management plan, Spatial compensation, Technique for order of preference by similarity to ideal solution (TOPSIS)
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Social Sciences(all)
- Geography, Planning and Development
- Agricultural and Biological Sciences(all)
- Aquatic Science
- Environmental Science(all)
- Water Science and Technology
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In: Water (Switzerland), Vol. 11, No. 2, 355, 02.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Scaling Effects in Spatial Multi-Criteria Decision Aggregation in Integrated River Basin Management
AU - Taha, Rania
AU - Dietrich, Jörg
AU - Dehnhardt, Alexandra
AU - Hirschfeld, Jesko
N1 - Funding information: This research was funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), grant number FKZ 0330211. Deutscher Akademischer Austausch Dienst (DAAD) funded the postgraduate studies of Rania Taha under the EPOS program (Development-Related Postgraduate Courses). The publication of this article was funded by the Open Access Fund of the Leibniz Universität Hannover.
PY - 2019/2
Y1 - 2019/2
N2 - For river basin management plans (RBMPs), measures are aggregated from smaller spatial units (e.g., water bodies) to the catchment or basin scale. River basin management plans measures in integrated management are evaluated using multiple criteria, e.g., ecological and socio-economiccriteria, etc. Therefore, aggregation often combines spatial analysis and multi-criteria decision analysis (MCDA). Herein, we investigate: (1) the effect of applying different aggregation pathways on the outcome of the RBMP using the technique for order of preference by similarity to ideal solution (TOPSIS) as an MCDA method, (2) the scaling effects considering water body, sub-catchment, and river basin scales, and (3) the effect of using global and local criteria weighing on the final ranking of alternatives. We propose two approaches to aggregate ranks for the entire basin: using non-dominated alternatives only and using a normalized TOPSIS relative closeness value. The results show no variation in the final non-dominated alternative for both aggregation pathways. However, we note rank reversal among the dominated alternatives. These results suggest that scaling effects need to be considered in spatial MCDA.
AB - For river basin management plans (RBMPs), measures are aggregated from smaller spatial units (e.g., water bodies) to the catchment or basin scale. River basin management plans measures in integrated management are evaluated using multiple criteria, e.g., ecological and socio-economiccriteria, etc. Therefore, aggregation often combines spatial analysis and multi-criteria decision analysis (MCDA). Herein, we investigate: (1) the effect of applying different aggregation pathways on the outcome of the RBMP using the technique for order of preference by similarity to ideal solution (TOPSIS) as an MCDA method, (2) the scaling effects considering water body, sub-catchment, and river basin scales, and (3) the effect of using global and local criteria weighing on the final ranking of alternatives. We propose two approaches to aggregate ranks for the entire basin: using non-dominated alternatives only and using a normalized TOPSIS relative closeness value. The results show no variation in the final non-dominated alternative for both aggregation pathways. However, we note rank reversal among the dominated alternatives. These results suggest that scaling effects need to be considered in spatial MCDA.
KW - Criteria aggregation
KW - Multi-criteria decision analysis
KW - River basin management plan
KW - Spatial compensation
KW - Technique for order of preference by similarity to ideal solution (TOPSIS)
UR - http://www.scopus.com/inward/record.url?scp=85061775393&partnerID=8YFLogxK
U2 - 10.15488/4726
DO - 10.15488/4726
M3 - Article
AN - SCOPUS:85061775393
VL - 11
JO - Water (Switzerland)
JF - Water (Switzerland)
SN - 2073-4441
IS - 2
M1 - 355
ER -