دورية أكاديمية

How good are hydrological models for gap-filling streamflow data?

التفاصيل البيبلوغرافية
العنوان: How good are hydrological models for gap-filling streamflow data?
المؤلفون: Y. Zhang, D. Post
المصدر: Hydrology and Earth System Sciences, Vol 22, Pp 4593-4604 (2018)
بيانات النشر: Copernicus Publications, 2018.
سنة النشر: 2018
المجموعة: LCC:Technology
LCC:Environmental technology. Sanitary engineering
LCC:Geography. Anthropology. Recreation
LCC:Environmental sciences
مصطلحات موضوعية: Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
الوصف: Gap-filling streamflow data is a critical step for most hydrological studies, such as streamflow trend, flood, and drought analysis and hydrological response variable estimates and predictions. However, there is a lack of quantitative evaluation of the gap-filled data accuracy in most hydrological studies. Here we show that when the missing data rate is less than 10 %, the gap-filled streamflow data obtained using calibrated hydrological models perform almost the same as the benchmark data (less than 1 % missing) when estimating annual trends for 217 unregulated catchments widely spread across Australia. Furthermore, the relative streamflow trend bias caused by the gap filling is not very large in very dry catchments where the hydrological model calibration is normally poor. Our results clearly demonstrate that the gap filling using hydrological modelling has little impact on the estimation of annual streamflow and its trends.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 4593-2018
1027-5606
1607-7938
Relation: https://www.hydrol-earth-syst-sci.net/22/4593/2018/hess-22-4593-2018.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938
DOI: 10.5194/hess-22-4593-2018
URL الوصول: https://doaj.org/article/94e7f9efa6d6434f92c0baec04f4c2ba
رقم الأكسشن: edsdoj.94e7f9efa6d6434f92c0baec04f4c2ba
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:45932018
10275606
16077938
DOI:10.5194/hess-22-4593-2018