Calibrating Streamflow and Hydrological Processes in Geological Regions Using a Combined Soft and Hard Calibration Approach

IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
José Manuel Rodríguez-Castellanos, Alejandro Sánchez-Gómez, Katrin Bieger, Silvia Martínez-Pérez, Javier Senent-Aparicio, Eugenio Molina-Navarro
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Abstract

Conventional catchment-scale models are often calibrated using a single set of parameters and considering only statistical performance, overlooking hydrological aspects of great relevance for a realistic modeling outcome. The main objectives of this study were to set up a hydrological model in the Tagus River headwaters (Spain) with the new version of the soil and water assessment tool and to develop a novel calibration and evaluation procedure to simulate the hydrological processes realistically, particularly focusing on groundwater contribution. The model was parameterized at three geological regions, and its performance was evaluated in representative sub-catchments, addressing both soft and hard calibration to focus not only on daily streamflow but also on two hydrological indices: the runoff coefficient and the groundwater contribution. Results were then evaluated at the reservoir catchment level (two large reservoirs constitute the catchment outlet) and further validated on reservoir inflows. After this innovative procedure that incorporates a zonal calibration and a comprehensive model evaluation, a very good statistical performance was obtained, with NSE, R2, and PBIAS values (monthly) of 0.86%, 0.88%, and 2.5% for the Entrepeñas Reservoir inflows, and of 0.89%, 0.91%, and −8.5% for Buendía Reservoir. This performance was achieved while maintaining realistic values for the hydrological indices, providing a robust representation of the hydrological processes.

传统的集水尺度模型通常只使用一组参数进行校核,而且只考虑统计性能,忽略了与实际建模结果密切相关的水文方面。本研究的主要目标是利用新版水土评估工具在塔霍河上游(西班牙)建立一个水文模型,并开发一种新的校准和评估程序,以真实地模拟水文过程,尤其侧重于地下水的贡献。在三个地质区域对模型进行了参数设置,并在具有代表性的子流域对其性能进行了评估,同时进行了软校准和硬校准,不仅关注每日溪流,还关注两个水文指标:径流系数和地下水贡献。然后在水库集水区层面(两个大型水库构成集水区出口)对结果进行评估,并进一步对水库流入量进行验证。这一创新程序结合了分区校准和综合模型评估,取得了非常好的统计性能,恩特雷佩尼亚斯水库流入量的 NSE、R2 和 PBIAS 值(月度)分别为 0.86%、0.88% 和 2.5%,布恩迪亚水库的 NSE、R2 和 PBIAS 值(月度)分别为 0.89%、0.91% 和 -8.5%。在实现这一性能的同时,还保持了水文指数的真实值,为水文过程提供了可靠的表征。
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来源期刊
Journal of The American Water Resources Association
Journal of The American Water Resources Association 环境科学-地球科学综合
CiteScore
4.10
自引率
12.50%
发文量
100
审稿时长
3 months
期刊介绍: JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy. JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.
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