Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data
This article is based on the freely available data of the web-based hydropower map HYPOSO, which the authors compiled. Only the Ugandan river network and associated hydropower potential are highlighted here, using freely available geospatial datasets. The main objective was to assess Ugandan river a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/11/2051 |
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| author | Petras Punys Gitana Vyčienė Linas Jurevičius Algis Kvaraciejus |
| author_facet | Petras Punys Gitana Vyčienė Linas Jurevičius Algis Kvaraciejus |
| author_sort | Petras Punys |
| collection | DOAJ |
| description | This article is based on the freely available data of the web-based hydropower map HYPOSO, which the authors compiled. Only the Ugandan river network and associated hydropower potential are highlighted here, using freely available geospatial datasets. The main objective was to assess Ugandan river and stream hydropower potential, compare it with previous assessments, and identify potential sites for small hydropower plant installation. GIS techniques were extensively used to analyse hydrological and other related geospatial data. The stream-reach power potential was determined based on channel slope, the length between tributaries, and the average flow derived from a specific runoff distribution map. Stream profiles extracted from the river network’s digital elevation model were validated against previous assessments. Uganda’s hydropower potential was determined in various patterns, and its values were compared with prior estimates. Around 500 potential high-energy intensity stream reaches and new potential areas for small hydropower plant development were identified in this country, considering a range of characteristics. Statistical datasets were analysed, and their straightforward summaries were presented. These summary characteristics of hydropower potential are necessary for decision-makers to foster hydropower development in this country. |
| first_indexed | 2024-03-11T02:54:15Z |
| format | Article |
| id | doaj.art-dc7505bb2d5a4b8d9981bba5504ef865 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T02:54:15Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-dc7505bb2d5a4b8d9981bba5504ef8652023-11-18T08:46:56ZengMDPI AGWater2073-44412023-05-011511205110.3390/w15112051Small Hydropower Assessment of Uganda Based on Multisource Geospatial DataPetras Punys0Gitana Vyčienė1Linas Jurevičius2Algis Kvaraciejus3Water Engineering Department, Faculty of Engineering, Vytautas Magnus University, Universiteto g. 10, LT–53361 Kaunas, LithuaniaWater Engineering Department, Faculty of Engineering, Vytautas Magnus University, Universiteto g. 10, LT–53361 Kaunas, LithuaniaWater Engineering Department, Faculty of Engineering, Vytautas Magnus University, Universiteto g. 10, LT–53361 Kaunas, LithuaniaWater Engineering Department, Faculty of Engineering, Vytautas Magnus University, Universiteto g. 10, LT–53361 Kaunas, LithuaniaThis article is based on the freely available data of the web-based hydropower map HYPOSO, which the authors compiled. Only the Ugandan river network and associated hydropower potential are highlighted here, using freely available geospatial datasets. The main objective was to assess Ugandan river and stream hydropower potential, compare it with previous assessments, and identify potential sites for small hydropower plant installation. GIS techniques were extensively used to analyse hydrological and other related geospatial data. The stream-reach power potential was determined based on channel slope, the length between tributaries, and the average flow derived from a specific runoff distribution map. Stream profiles extracted from the river network’s digital elevation model were validated against previous assessments. Uganda’s hydropower potential was determined in various patterns, and its values were compared with prior estimates. Around 500 potential high-energy intensity stream reaches and new potential areas for small hydropower plant development were identified in this country, considering a range of characteristics. Statistical datasets were analysed, and their straightforward summaries were presented. These summary characteristics of hydropower potential are necessary for decision-makers to foster hydropower development in this country.https://www.mdpi.com/2073-4441/15/11/2051HYPOSO map datasetUgandan small hydropower potentialGIS analysisstream-reach capacitypotential hydropower sites |
| spellingShingle | Petras Punys Gitana Vyčienė Linas Jurevičius Algis Kvaraciejus Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data Water HYPOSO map dataset Ugandan small hydropower potential GIS analysis stream-reach capacity potential hydropower sites |
| title | Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data |
| title_full | Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data |
| title_fullStr | Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data |
| title_full_unstemmed | Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data |
| title_short | Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data |
| title_sort | small hydropower assessment of uganda based on multisource geospatial data |
| topic | HYPOSO map dataset Ugandan small hydropower potential GIS analysis stream-reach capacity potential hydropower sites |
| url | https://www.mdpi.com/2073-4441/15/11/2051 |
| work_keys_str_mv | AT petraspunys smallhydropowerassessmentofugandabasedonmultisourcegeospatialdata AT gitanavyciene smallhydropowerassessmentofugandabasedonmultisourcegeospatialdata AT linasjurevicius smallhydropowerassessmentofugandabasedonmultisourcegeospatialdata AT algiskvaraciejus smallhydropowerassessmentofugandabasedonmultisourcegeospatialdata |