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, L_max, 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.

中文翻译：

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利用地理信息系统和 MIKE 11 Nedbor Afrstromnings 模型 (NAM) 对 Beas 盆地上游水电潜力进行定量分析

本研究旨在确定丘陵地区小型水力发电站的潜在位置，以产生可再生能源。使用 MIKE 11 NAM 建立了双鱼河流域的降雨径流 (RR) 模型来估计可用流量。该模型分别在 2015 年 6 月至 2018 年 5 月和 2018 年 6 月至 2020 年 5 月期间使用潘杜大坝现场每日观测到的流量数据进行了校准和验证。该模型表现出良好的性能，校准期间的决定系数 ( R ² ) 为 0.82，验证期间的决定系数 (R 2 ) 为 0.70，水平衡分别为 -0.01% 和 -18%。然而，L _max、CK ₁、CK ₂和CQOF 是校准过程中最敏感的参数。此外，还选择了 13 个五级或以上的主要河流来评估水电潜力，从而确定了 131 个潜在的径流式 (ROR) 水电站。在使用 90% 可靠流量的情况下，Bhang SHEP（9 兆瓦）和 Raison SHEP（18 兆瓦）这两个拟建地点的水电潜力预计分别为 11 兆瓦和 15 兆瓦。结果证明了使用数字高程模型 (DEM) 和地理信息系统 (GIS) 技术确定喜马拉雅山未测量盆地水电潜力的有效性。