中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Projection of future streamflow of the Hunza River Basin, Karakoram Range (Pakistan) using HBV hydrological model

文献类型:期刊论文

作者Ali, Ayaz Fateh; Xiao Cun-de; Zhang Xiao-peng; Adnan, Muhammad; Iqbal, Mudassar; Khan, Garee
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2018
卷号15期号:10页码:2218-2235
关键词HBV Light model Hydrological modeling Hunza River Upper Indus Basin Snow and glacier-melt
ISSN号1672-6316
DOI10.1007/s11629-018-4907-4
文献子类Article
英文摘要Hydrologiska Byrans Vattenbalansavdeling (HBV) Light model was used to evaluate the performance of the model in response to climate change in the snowy and glaciated catchment area of Hunza River Basin. The study aimed to understand the temporal variation of streamflow of Hunza River and its contribution to Indus River System (IRS). HBV model performed fairly well both during calibration (R-2=0.87, R-eff=0.85, PBIAS=-0.36) and validation (R-2=0.86, R-eff=0.83, PBIAS=-13.58) periods on daily time scale in the Hunza River Basin. Model performed better on monthly time scale with slightly underestimated low flows period during both calibration (R-2=0.94, R-eff=0.88, PBIAS=0.47) and validation (R-2=0.92, R-eff=0.85, PBIAS=15.83) periods. Simulated streamflow analysis from 1995-2010 unveiled that the average percentage contribution of snow, rain and glacier melt to the streamflow of Hunza River is about 16.5%, 19.4% and 64% respectively. In addition, the HBV-Light model performance was also evaluated for prediction of future streamflow in the Hunza River using future projected data of three General Circulation Model (GCMs) i.e. BCC-CSM1.1, CanESM2, and MIROC-ESM under RCP2.6, 4.5 and 8.5 and predictions were made over three time periods, 2010-2039, 2040-2069 and 2070-2099, using 1980-2010 as the control period. Overall projected climate results reveal that temperature and precipitation are the most sensitive parameters to the streamflow of Hunza River. MIROC-ESM predicted the highest increase in the future streamflow of the Hunza River due to increase in temperature and precipitation under RCP(4.)5 and 8.5 scenarios from 2010-2099 while predicted slight increase in the streamflow under RCP2.6 during the start and end of the 21th century. However, BCC-CSM1.1 predicted decrease in the streamflow under RCP8.5 due to decrease in temperature and precipitation from 2010-2099. However, CanESM2 predicted 22%-88% increase in the streamflow under RCP4.5 from 2010-2099. The results of this study could be useful for decision making and effective future strategic plans for water management and their sustainability in the region.
电子版国际标准刊号1993-0321
语种英语
WOS记录号WOS:000447295900011
源URL[http://ir.imde.ac.cn/handle/131551/46328]  
专题Journal of Mountain Science_Journal of Mountain Science-2018_Vol15 No.10
推荐引用方式
GB/T 7714
Ali, Ayaz Fateh,Xiao Cun-de,Zhang Xiao-peng,et al. Projection of future streamflow of the Hunza River Basin, Karakoram Range (Pakistan) using HBV hydrological model[J]. JOURNAL OF MOUNTAIN SCIENCE,2018,15(10):2218-2235.
APA Ali, Ayaz Fateh,Xiao Cun-de,Zhang Xiao-peng,Adnan, Muhammad,Iqbal, Mudassar,&Khan, Garee.(2018).Projection of future streamflow of the Hunza River Basin, Karakoram Range (Pakistan) using HBV hydrological model.JOURNAL OF MOUNTAIN SCIENCE,15(10),2218-2235.
MLA Ali, Ayaz Fateh,et al."Projection of future streamflow of the Hunza River Basin, Karakoram Range (Pakistan) using HBV hydrological model".JOURNAL OF MOUNTAIN SCIENCE 15.10(2018):2218-2235.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。