دورية أكاديمية
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Prediction of evapotranspiration variance in the Budyko framework with the incorporation of soil storage and runoff.

التفاصيل البيبلوغرافية
العنوان: Prediction of evapotranspiration variance in the Budyko framework with the incorporation of soil storage and runoff.
المؤلفون: Jun C; Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea., Narimani R; Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea., Yeh PJ; Discipline of Civil Engineering, School of Engineering, Monash University (Malaysia Campus), Malaysia., Kim SY; Department of Fire and Disaster Prevention, Konkuk University, 268 Chungwon-daero, Chungju 27478, Republic of Korea. Electronic address: sangyeob@kku.ac.kr., Wu C; Department of Ecology, Jinan University, Guangzhou 510632, China.
المصدر: The Science of the total environment [Sci Total Environ] 2024 May 15; Vol. 925, pp. 171839. Date of Electronic Publication: 2024 Mar 19.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: Amsterdam, Elsevier.
مستخلص: Water availability needs to be accurately assessed to understand and effectively manage hydrologic environments. However, the estimation of evapotranspiration (ET) is prone to errors due to the complex interactions that occur between the atmosphere, the Earth's surface, and vegetation cover. This paper proposes a novel approach for analyzing the sources of inaccuracy in estimating the annual ET using the Budyko framework (BF), particularly temporal variability in precipitation (P), potential evapotranspiration (E P ), runoff (R), and the change in soil storage (ΔS). Error decomposition is employed to determine the individual contributions of P, R, E P , and ΔS to the ET error variance at 12 locations in the state of Illinois using a dataset covering a 22-year period. To the best of our knowledge, this study represents the first BF-based investigation that considers R in the error decomposition of the predicted ET variance. The ET error variance increases with the variance in the P and R in Illinois and decreases with the covariance between these two variables. In addition, when accounting for ΔS in the BF, the scenario in which ΔS affects the total available water (i.e., P) is reliable, with a low prediction error and a 13.87 % lower root mean square error compared with the scenario in which the effect of ΔS is negligible. We thus recommend the inclusion of ΔS and R as key variables in the BF to improve water budget estimations.
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Changhyun Jun reports financial support was provided by National Research Foundation of Korea (NRF). Chunghyun Jun reports a relationship with Chung-Ang University that includes: board membership.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
فهرسة مساهمة: Keywords: Budyko hypothesis; Error variance; Evapotranspiration estimation; Runoff; Soil storage
تواريخ الأحداث: Date Created: 20240321 Latest Revision: 20240329
رمز التحديث: 20240330
DOI: 10.1016/j.scitotenv.2024.171839
PMID: 38513843
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-1026
DOI:10.1016/j.scitotenv.2024.171839