کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4978267 1452262 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Role of rainstorm intensity underestimated by data-derived flood models: Emerging global evidence from subsurface-dominated watersheds
ترجمه فارسی عنوان
نقش شدت بارش باران با استفاده از داده های مدل های سیل دست کم گرفته شده: شواهد جهانی جدید از حوضه های تحت سلطه زیرزمینی
کلمات کلیدی
شدت بارندگی، هیدروگراف طوفان، تابع انتقال، سیل غیر خطی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی


- Hyetograph change gives nonlinear flood responses without overland flow activation.
- New storm intensity - hydrograph relationship apparent from diverse synoptic regimes.
- Implications for improved flood simulation under time-varying rainfall intensity regimes.

Intense rainstorms are a prevalent feature of current weather. Evidence is presented showing that simulation of flood hydrographs shown to be dominated by subsurface flow requires watershed model parameterisation to vary between periods of different rainstorm intensity, in addition to varying with antecedent basin storage. The data show an emerging global relation between flood response and the intensity of rainstorms. Flood responses are quantified as watershed residence times (strictly time constants of nonlinear transfer-function models) identified directly from information contained within 15-min rainfall and streamflow observations. The emerging monotonic, curvilinear relation indicates that (subsurface) watershed residence time decreases as mean intensity rises, and is seen over a wide range of synoptic conditions from temperate and tropical climates. Projected increases in rainstorm intensity would then result in a greater likelihood of river floods in subsurface-dominated watersheds than is currently simulated by systems models omitting this additional nonlinearity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 88, February 2017, Pages 1-9
نویسندگان
, , , ,