Investigating the effects of spatial heterogeneity of multi-source profile soil moisture on spatial–temporal processes of high-resolution floods

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL
Han Yang, Xiaoqi Zhang, Zhe Yuan, Xiaofeng Hong, Liqiang Yao, Xiuping Zhang
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Abstract

Reliable spatial–temporal simulation and forecast of flood are crucial for accurate flood control. Profile soil moisture (PSM) is a key intermediate variable in rainfall-runoff transformation, its spatial heterogeneity affects the spatial–temporal processes of floods. However, soil moisture data in the current flood modeling researches are only the intermediately simulated values that lack spatial validation, how spatial heterogeneity in soil moisture affects high-resolution flood processes is still unclear. In contrast, soil moisture data derived from satellites are spatial observed values that can better represent real spatial distribution. This study is first to incorporate satellite-based data and hydrological modeled data to identify the effects of different spatial patterns of profile soil moisture on spatial–temporal processes of floods at 1 km × 1 km resolution. The distributed hydrological model (DDRM) and the European Space Agency Climate Change Initiative (ESA CCI) products are chosen to provide different PSM spatial patterns, under which, the DDRM is used to investigate corresponding spatial–temporal processes of floods. Four modeling scenarios (two DDRM-only scenarios and two assimilation scenarios) in two humid and one semi-arid catchments are set to see the different effects, and the spatial–temporal statistical analysis and the semi-variogram method are used to identify the spatial heterogeneity. Results indicate that both PSM and runoff show strong spatial heterogeneity with the values of C/(C0 + C) in the semi-variogram method higher than 0.8; for different periods, the decrease of spatial heterogeneity in PSM corresponds to the decrease of spatial heterogeneity in runoff; for different scenarios, soil moisture storage capacity (SMC) affects spatial heterogeneity of runoff more in the semi-arid catchment, and the change of sensitive parameters of spatial soil moisture is the main driver to change the spatial heterogeneity of runoff. The findings of the study would enhance the development of refined modeling of floods, and have practical implications for flood risk management and early flood warning systems.
多源剖面土壤水分空间异质性对高分辨率洪水时空过程的影响
可靠的洪水时空模拟与预报是精确防洪的关键。剖面土壤水分(PSM)是降雨-径流转化过程中一个关键的中间变量,其空间异质性影响着洪水的时空过程。然而,目前洪水模拟研究中的土壤水分数据只是中间模拟值,缺乏空间验证,土壤水分的空间异质性如何影响高分辨率洪水过程尚不清楚。相比之下,卫星土壤湿度数据是空间观测值,可以更好地代表真实的空间分布。本研究首次结合卫星数据和水文模型数据,在1 km × 1 km分辨率下确定了不同土壤水分空间格局对洪水时空过程的影响。选择分布式水文模型(DDRM)和欧洲空间局气候变化倡议(ESA CCI)产品提供不同的PSM空间格局,在此基础上,利用DDRM研究相应的洪水时空过程。在2个湿润和1个半干旱流域设置4个模拟情景(2个纯ddrm情景和2个同化情景),观察不同的模拟效果,并利用时空统计分析和半变异函数法对空间异质性进行识别。结果表明:半变异函数法测得的C/(C0 + C)值大于0.8,流域PSM和径流均表现出较强的空间异质性;不同时期PSM空间异质性的减弱对应着径流空间异质性的减弱;在不同情景下,半干旱流域土壤水分库容对径流空间异质性的影响更大,空间土壤水分敏感参数的变化是径流空间异质性变化的主要驱动力。研究结果将促进洪水精细模型的发展,并对洪水风险管理和早期洪水预警系统具有实际意义。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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