{"title":"结合积雪模型和融雪径流模型在西兴都库什-喜马拉雅地区积雪为主的山地盆地进行水流模拟","authors":"Abdul Haseeb Azizi, Y. Asaoka","doi":"10.3178/hrl.14.34","DOIUrl":null,"url":null,"abstract":": A Snow Model (SM) using a temperature-index method was used to optimize the degree-day factor ( DDF ) and pre‐ cipitation gradient ( PG ) for the different elevation zones of the Panjshir sub-basin for snowmelt runoff modelling. The values derived for DDF and PG were calibrated and vali‐ dated by comparing observed snow cover area and snow cover area simulated by SM. The Snowmelt Runoff Model (SRM) was used to simulate daily runoff over the hydro‐ logical years 2009–2014 using the optimized values for SRM accuracy. The optimized DDF values were 0.3 to 0.9 (cm °C –1 d –1 ) for elevations from 1593 m to 5694 m. Mean‐ while the PG was +0.002 m –1 for elevations 1593–4000 m and 0 m –1 above 4000 m. The simulated runoff by SRM during the entire data period correlated very well with a Nash-Sutcliffe coefficient NS = 0.93 utilizing both observed and simulated snow cover area. This method not only evaluates the characteristics of snowfall and snowmelt in different elevation zones to obtain the DDF and PG , but can also estimate the snowmelt runoff.","PeriodicalId":13111,"journal":{"name":"Hydrological Research Letters","volume":"1 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3178/hrl.14.34","citationCount":"5","resultStr":"{\"title\":\"Incorporating snow model and snowmelt runoff model for streamflow simulation in a snow-dominated mountainous basin in the western Hindukush-Himalaya region\",\"authors\":\"Abdul Haseeb Azizi, Y. Asaoka\",\"doi\":\"10.3178/hrl.14.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": A Snow Model (SM) using a temperature-index method was used to optimize the degree-day factor ( DDF ) and pre‐ cipitation gradient ( PG ) for the different elevation zones of the Panjshir sub-basin for snowmelt runoff modelling. The values derived for DDF and PG were calibrated and vali‐ dated by comparing observed snow cover area and snow cover area simulated by SM. The Snowmelt Runoff Model (SRM) was used to simulate daily runoff over the hydro‐ logical years 2009–2014 using the optimized values for SRM accuracy. The optimized DDF values were 0.3 to 0.9 (cm °C –1 d –1 ) for elevations from 1593 m to 5694 m. Mean‐ while the PG was +0.002 m –1 for elevations 1593–4000 m and 0 m –1 above 4000 m. The simulated runoff by SRM during the entire data period correlated very well with a Nash-Sutcliffe coefficient NS = 0.93 utilizing both observed and simulated snow cover area. This method not only evaluates the characteristics of snowfall and snowmelt in different elevation zones to obtain the DDF and PG , but can also estimate the snowmelt runoff.\",\"PeriodicalId\":13111,\"journal\":{\"name\":\"Hydrological Research Letters\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3178/hrl.14.34\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Research Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3178/hrl.14.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Research Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3178/hrl.14.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 5
摘要
采用温度指数法的积雪模型(SM)优化了潘杰希尔次流域不同高程带的日数因子(DDF)和降水梯度(PG),用于融雪径流模拟。通过比较观测积雪面积和SM模拟积雪面积,对DDF和PG的数值进行了校准和验证。采用融雪径流模型(SRM)对2009-2014年水文年的日径流进行了模拟,得到了SRM精度的优化值。在海拔1593 ~ 5694 m范围内,最佳DDF值为0.3 ~ 0.9 (cm°C -1 d -1)。而海拔1593-4000 m的PG平均值为+0.002 m -1,海拔4000 m以上的PG平均值为0 m -1。利用实测和模拟积雪面积,SRM模拟径流在整个数据期内与Nash-Sutcliffe系数NS = 0.93的相关性非常好。该方法不仅可以评价不同高程带的降雪和融雪特征,得到DDF和PG,还可以估算融雪径流量。
Incorporating snow model and snowmelt runoff model for streamflow simulation in a snow-dominated mountainous basin in the western Hindukush-Himalaya region
: A Snow Model (SM) using a temperature-index method was used to optimize the degree-day factor ( DDF ) and pre‐ cipitation gradient ( PG ) for the different elevation zones of the Panjshir sub-basin for snowmelt runoff modelling. The values derived for DDF and PG were calibrated and vali‐ dated by comparing observed snow cover area and snow cover area simulated by SM. The Snowmelt Runoff Model (SRM) was used to simulate daily runoff over the hydro‐ logical years 2009–2014 using the optimized values for SRM accuracy. The optimized DDF values were 0.3 to 0.9 (cm °C –1 d –1 ) for elevations from 1593 m to 5694 m. Mean‐ while the PG was +0.002 m –1 for elevations 1593–4000 m and 0 m –1 above 4000 m. The simulated runoff by SRM during the entire data period correlated very well with a Nash-Sutcliffe coefficient NS = 0.93 utilizing both observed and simulated snow cover area. This method not only evaluates the characteristics of snowfall and snowmelt in different elevation zones to obtain the DDF and PG , but can also estimate the snowmelt runoff.
期刊介绍:
Hydrological Research Letters (HRL) is an international and trans-disciplinary electronic online journal published jointly by Japan Society of Hydrology and Water Resources (JSHWR), Japanese Association of Groundwater Hydrology (JAGH), Japanese Association of Hydrological Sciences (JAHS), and Japanese Society of Physical Hydrology (JSPH), aiming at rapid exchange and outgoing of information in these fields. The purpose is to disseminate original research findings and develop debates on a wide range of investigations on hydrology and water resources to researchers, students and the public. It also publishes reviews of various fields on hydrology and water resources and other information of interest to scientists to encourage communication and utilization of the published results. The editors welcome contributions from authors throughout the world. The decision on acceptance of a submitted manuscript is made by the journal editors on the basis of suitability of subject matter to the scope of the journal, originality of the contribution, potential impacts on societies and scientific merit. Manuscripts submitted to HRL may cover all aspects of hydrology and water resources, including research on physical and biological sciences, engineering, and social and political sciences from the aspects of hydrology and water resources.