Academic Journal

Urban Water Storage Capacity Inferred From Observed Evapotranspiration Recession

التفاصيل البيبلوغرافية
العنوان: Urban Water Storage Capacity Inferred From Observed Evapotranspiration Recession
المؤلفون: Jongen, H.J., Steeneveld, G.J., Beringer, J., Christen, A., Chrysoulakis, N., Fortuniak, K., Hong, J., Hong, J.W., Jacobs, C.M.J., Järvi, L., Meier, F., Pawlak, W., Roth, M., Theeuwes, N.E., Velasco, E., Vogt, R., Teuling, A.J.
المصدر: Geophysical Research Letters 49 (2022) 3 ; ISSN: 0094-8276
سنة النشر: 2022
المجموعة: Wageningen UR (University & Research Centre): Digital Library
مصطلحات موضوعية: recession analysis, urban climate
الوصف: Water storage plays an important role in mitigating heat and flooding in urban areas. Assessment of the water storage capacity of cities remains challenging due to the inherent heterogeneity of the urban surface. Traditionally, effective storage has been estimated from runoff. Here, we present a novel approach to estimate effective water storage capacity from recession rates of observed evaporation during precipitation-free periods. We test this approach for cities at neighborhood scale with eddy-covariance based latent heat flux observations from 14 contrasting sites with different local climate zones, vegetation cover and characteristics, and climates. Based on analysis of 583 drydowns, we find storage capacities to vary between 1.3 and 28.4 mm, corresponding to e-folding timescales of 1.8–20.1 days. This makes the urban storage capacity at least five times smaller than all the observed values for natural ecosystems, reflecting an evaporation regime characterized by extreme water limitation.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://edepot.wur.nl/564853
DOI: 10.1029/2021GL096069
الاتاحة: https://research.wur.nl/en/publications/urban-water-storage-capacity-inferred-from-observed-evapotranspir
https://doi.org/10.1029/2021GL096069
Rights: https://creativecommons.org/licenses/by/4.0/ ; Wageningen University & Research
رقم الانضمام: edsbas.FF874421
قاعدة البيانات: BASE