Mohit Kumar, Reet Kamal Tiwari, Kamal Kumar, Kuldeep Singh Rautela, Sabia Safi
{"title":"利用地理信息系统和 MIKE 11 Nedbor Afrstromnings 模型 (NAM) 对比斯河上游流域的水力发电潜力进行定量分析","authors":"Mohit Kumar, Reet Kamal Tiwari, Kamal Kumar, Kuldeep Singh Rautela, Sabia Safi","doi":"10.1002/eco.2618","DOIUrl":null,"url":null,"abstract":"<p>The present study aims to identify potential locations for small-scale hydroelectric power (HEP) stations in hilly regions for the purpose of generating renewable energy. A rainfall-runoff (R-R) model of the Beas River catchment was established using the MIKE 11 NAM to estimate the available discharge. The model was calibrated and validated over the period of June-2015–May-2018 and June-2018–May-2020, respectively, using daily observed discharge data at the Pandoh Dam site. The model exhibited good performance with a coefficient of determination (<i>R</i><sup>2</sup>) of 0.82 during calibration and 0.70 during validation and a water balance of −0.01% and −18%, respectively. However, L<sub>max</sub>, CK<sub>1</sub>, CK<sub>2</sub> and CQOF are found most sensitive parameters during the calibration. Further, thirteen major streams of order five or higher were selected for the assessment of hydropower potential, resulting in the identification of 131 potential run-of-river (ROR) hydropower sites. The hydropower potential at two proposed sites, Bhang SHEP (9 MW) and Raison SHEP (18 MW), was estimated to be 11 and 15 MW, respectively, using 90% dependable flow. The results demonstrate the effectiveness of using Digital Elevation Model (DEM) and Geographic Information System (GIS) techniques for determining hydropower potential in ungauged basins in the Himalayas.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"17 4","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative analysis of hydropower potential in the upper Beas basin using geographical information system and MIKE 11 Nedbor Afrstromnings Model (NAM)\",\"authors\":\"Mohit Kumar, Reet Kamal Tiwari, Kamal Kumar, Kuldeep Singh Rautela, Sabia Safi\",\"doi\":\"10.1002/eco.2618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The present study aims to identify potential locations for small-scale hydroelectric power (HEP) stations in hilly regions for the purpose of generating renewable energy. A rainfall-runoff (R-R) model of the Beas River catchment was established using the MIKE 11 NAM to estimate the available discharge. The model was calibrated and validated over the period of June-2015–May-2018 and June-2018–May-2020, respectively, using daily observed discharge data at the Pandoh Dam site. The model exhibited good performance with a coefficient of determination (<i>R</i><sup>2</sup>) of 0.82 during calibration and 0.70 during validation and a water balance of −0.01% and −18%, respectively. However, L<sub>max</sub>, CK<sub>1</sub>, CK<sub>2</sub> and CQOF are found most sensitive parameters during the calibration. Further, thirteen major streams of order five or higher were selected for the assessment of hydropower potential, resulting in the identification of 131 potential run-of-river (ROR) hydropower sites. The hydropower potential at two proposed sites, Bhang SHEP (9 MW) and Raison SHEP (18 MW), was estimated to be 11 and 15 MW, respectively, using 90% dependable flow. The results demonstrate the effectiveness of using Digital Elevation Model (DEM) and Geographic Information System (GIS) techniques for determining hydropower potential in ungauged basins in the Himalayas.</p>\",\"PeriodicalId\":55169,\"journal\":{\"name\":\"Ecohydrology\",\"volume\":\"17 4\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecohydrology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/eco.2618\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecohydrology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eco.2618","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Quantitative analysis of hydropower potential in the upper Beas basin using geographical information system and MIKE 11 Nedbor Afrstromnings Model (NAM)
The present study aims to identify potential locations for small-scale hydroelectric power (HEP) stations in hilly regions for the purpose of generating renewable energy. A rainfall-runoff (R-R) model of the Beas River catchment was established using the MIKE 11 NAM to estimate the available discharge. The model was calibrated and validated over the period of June-2015–May-2018 and June-2018–May-2020, respectively, using daily observed discharge data at the Pandoh Dam site. The model exhibited good performance with a coefficient of determination (R2) of 0.82 during calibration and 0.70 during validation and a water balance of −0.01% and −18%, respectively. However, Lmax, CK1, CK2 and CQOF are found most sensitive parameters during the calibration. Further, thirteen major streams of order five or higher were selected for the assessment of hydropower potential, resulting in the identification of 131 potential run-of-river (ROR) hydropower sites. The hydropower potential at two proposed sites, Bhang SHEP (9 MW) and Raison SHEP (18 MW), was estimated to be 11 and 15 MW, respectively, using 90% dependable flow. The results demonstrate the effectiveness of using Digital Elevation Model (DEM) and Geographic Information System (GIS) techniques for determining hydropower potential in ungauged basins in the Himalayas.
期刊介绍：
Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management.
Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.
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