Memory character and predictive period of soil moisture in the root-zone and along hillslope

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL
Jun Zhang , Zi Wu , Yong Li , Chao Qin , Junfang Cui
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引用次数: 0

Abstract

Soil moisture plays a crucial role in hydrology, influencing interactions between land and surface, hydrological processes, flood forecasting, and soil degradation. Its behavior varies over different timescales, but most research to date has concentrated on large-scale or long-term data. There is a notable gap in the understanding of soil moisture memory characteristics and its predictive periods, especially at smaller scales like the root zone and hillslopes. This research aims to address this gap by using power spectrum analysis to investigate long-term memory (LTM) characteristics and second-order detrended fluctuation analysis (DFA-2) to assess predictive periods. Data were gathered from greenhouse experiments monitoring soil moisture during the full growth cycle of tomato plants, as well as from field measurements on hillslopes. Findings indicate that the soil moisture predictive period increased from the first (Ts) to the third (Tf) growth stages. Additionally, vegetated slopes showed stronger memory of soil moisture from May to October compared to bare slopes. This study offers essential insights for improving irrigation planning, drought management, and water resource strategies.
根区及坡面土壤水分的记忆特征及预测期
土壤湿度在水文学中起着至关重要的作用,影响着陆地与地表的相互作用、水文过程、洪水预报和土壤退化。它的行为在不同的时间尺度上有所不同,但迄今为止大多数研究都集中在大规模或长期数据上。在土壤水分记忆特征及其预测期的认识上存在明显的空白,特别是在根区和山坡等较小尺度上。本研究旨在通过功率谱分析来研究长期记忆(LTM)特征和二阶去趋势波动分析(DFA-2)来评估预测周期,以解决这一空白。数据来自温室试验,监测番茄植株整个生长周期的土壤湿度,以及山坡上的实地测量。结果表明:土壤水分预测期由第一期(Ts)增加到第三期(Tf);植被坡面对5 ~ 10月土壤水分的记忆强于光秃秃坡面。这项研究为改善灌溉规划、干旱管理和水资源战略提供了重要的见解。
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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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