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评估尼泊尔孙科西河流域的水电潜力:一种集成地理信息系统和SWAT水文模型的方法。

Assessing Hydropower Potential in Nepal's Sunkoshi River Basin: An Integrated GIS and SWAT Hydrological Modeling Approach.

作者信息

Bhattarai Rinki, Mishra Binaya Kumar, Bhattarai Deepa, Khatiwada Dipendra, Kumar Pankaj, Meraj Gowhar

机构信息

School of Engineering, Pokhara University, Pokhara, Nepal.

Himalayan Institute of Science and Technology, Purbanchal University, Kathmandu, Nepal.

出版信息

Scientifica (Cairo). 2024 Jan 23;2024:1007081. doi: 10.1155/2024/1007081. eCollection 2024.

Abstract

This study assessed the hydropower potential of a mountain watershed within the Sunkoshi River basin in Sindhupalchok, Nepal, utilizing geographic information systems (GIS) and the soil and water assessment tool (SWAT) hydrological model. Topographical, soil, land use, meteorological, and discharge data were employed to assess the study area for the appropriateness of hydropower generation. SWAT was utilized to delineate the Sunkoshi basin into 23 distinct subbasins and involved the creation of a detailed river network, incorporating various hydrological attributes including stream links, stream order, stream length, and slope gradient. After that, it was employed to simulate river discharges within these subbasins. The Sequential Uncertainty Fitting Version 2 (SUFI-2) algorithm, integrated within the SWAT Calibration and Uncertainty Program (SWAT-CUP), was employed to calibrate and validate the model. This step involved the adjustment of 25 selected parameters to enhance the model's accuracy and reliability in representing the hydrological processes of the Sunkoshi basin. Model performance was assessed utilizing three well-established efficiency criteria: coefficient of determination ( = 0.79), Nash-Sutcliffe efficiency (NSE = 0.73), and percent bias (PBIAS = 17.59). The study identified 36 sites across streams of order 3, 4, and 5 as having potential for hydropower generation. The hydropower potential at each identified site was evaluated using estimated stream flow and topographical head at various probability of exceedance (PoE) levels (40%, 45%, 50%, and 60%). The aggregate hydropower potential of the basin was quantified, yielding a potential of 371.30 MW at a 40% PoE. The findings suggest that an integrated approach combining SWAT-based hydrological modeling within a GIS can accurately assess a river basin's hydropower potential and provide insights into further evaluation of the comprehensive environmental assessment of the fragile Himalayan watersheds.

摘要

本研究利用地理信息系统(GIS)和土壤与水评估工具(SWAT)水文模型,评估了尼泊尔辛杜帕尔乔克孙科希河流域内一个山区流域的水电潜力。利用地形、土壤、土地利用、气象和流量数据来评估研究区域是否适合发电。SWAT被用于将孙科希流域划分为23个不同的子流域,并创建了一个详细的河网,纳入了各种水文属性,包括溪流连接、溪流等级、溪流长度和坡度。之后,它被用于模拟这些子流域内的河流流量。SWAT校准与不确定性程序(SWAT-CUP)中集成的序列不确定性拟合版本2(SUFI-2)算法被用于校准和验证模型。这一步骤涉及调整25个选定参数,以提高模型在表示孙科希流域水文过程方面的准确性和可靠性。利用三个成熟的效率标准评估模型性能:决定系数(R² = 0.79)、纳什-萨特克利夫效率(NSE = 0.73)和偏差百分比(PBIAS = 17.59)。该研究确定了3、4和5级溪流上的36个地点具有发电潜力。使用不同超越概率(PoE)水平(40%、45%、50%和60%)下的估计流量和地形水头,评估了每个确定地点的水电潜力。对该流域的总水电潜力进行了量化,在40%的PoE下产生了371.30兆瓦的潜力。研究结果表明,在GIS中结合基于SWAT的水文建模的综合方法可以准确评估流域的水电潜力,并为脆弱的喜马拉雅流域综合环境评估的进一步评估提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2390/10827373/fdcd4e58649e/SCIENTIFICA2024-1007081.001.jpg

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