2021
DOI: 10.1016/j.scitotenv.2021.147142
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A systematic framework for the assessment of sustainable hydropower potential in a river basin – The case of the upper Indus

Abstract: We present a systematic framework to assess sustainable hydropower potential. • The framework assesses theoretical, technical, economic, and sustainable potential. • It combines 30 datasets to represent natural, legal, disaster and social constraints. • Including these constraints in early assessments can improve hydropower decisions • The framework helps balance SDG7 (energy) with the linked SDGs 2 & 6 (food, water).

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Cited by 22 publications
(18 citation statements)
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References 74 publications
(156 reference statements)
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“…Dhaubanjar et al [34] provides the first theoretical framework that can assess the sustainable hydropower potential of the Indus basin. The selection of the Indus basin for this study is due to its high theoretical potential that combines with transboundary water issues, socio economic challenges, landscape vulnerability and high-water demand.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Dhaubanjar et al [34] provides the first theoretical framework that can assess the sustainable hydropower potential of the Indus basin. The selection of the Indus basin for this study is due to its high theoretical potential that combines with transboundary water issues, socio economic challenges, landscape vulnerability and high-water demand.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Blackouts are frequent in the cities, which last about 8-10 h a day during the summer season. In rural areas, these power outages are often double the frequency (Dhaubanjar et al, 2021).…”
Section: The Lack Of Storage Capacitymentioning
confidence: 99%
“…It is used to predict extreme events such as floods, hurricanes, and earthquakes. The exceedance probability P can be calculated using Equation (5).…”
Section: Flow Duration Curvementioning
confidence: 99%
“…× 100 (5) where M specifies the ranked position on the listing (dimensionless) and n denotes the number of events during the data record. The exceedance predicts the probability of a given streamflow [11].…”
Section: Flow Duration Curvementioning
confidence: 99%
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