Improved subsurface soil moisture prediction from surface soil moisture through the integration of the (de)coupling effect

Xu, Zhipeng; Man, Xiuling; Duan, Liangliang; Cai, Tijiu

doi:10.1016/j.jhydrol.2022.127634

Cited by 14 publications

(14 citation statements)

References 39 publications

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“…The annual mean temperature is –4.9 °C, with extreme minimum temperatures of –49.7 °C. The frost-free period is 85–110 days, and the annual mean precipitation is 350–500 mm, most of which falls between July and August [ 18 ]. This region constitutes the southern extension of the Eurasian cold temperate coniferous forests, and, therefore, its canopy vegetation is dominated by Larix gmelinii , in addition to understory shrubs such as Betula fruticosa , Vaccinium uliginosum , and Rhododendron tomentosum , as well as herbs such as Carex appendiculata and Eriophorum vaginatum [ 19 ].…”

Section: Methodsmentioning

confidence: 99%

Diversity and Distribution Characteristics of Soil Microbes across Forest–Peatland Ecotones in the Permafrost Regions

Liu

Wang

et al. 2022

IJERPH

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Permafrost peatlands are a huge carbon pool that is uniquely sensitive to global warming. However, despite the importance of peatlands in global carbon sequestration and biogeochemical cycles, few studies have characterized the distribution characteristics and drivers of soil microbial community structure in forest–peatland ecotones. Here, we investigated the vertical distribution patterns of soil microbial communities in three typical peatlands along an environmental gradient using Illumina high-throughput sequencing. Our findings indicated that bacterial richness and diversity decreased with increasing soil depth in coniferous swamp (LT) and thicket swamp (HT), whereas the opposite trend was observed in a tussock swamp (NT). Additionally, these parameters decreased at 0–20 and 20–40 cm and increased at 40–60 cm along the environmental gradient (LT to NT). Principal coordinate analysis (PCoA) indicated that the soil microbial community structure was more significantly affected by peatland type than soil depth. Actinomycetota, Proteobacteria, Firmicutes, Chloroflexota, Acidobacteriota, and Bacteroidota were the predominant bacterial phyla across all soil samples. Moreover, there were no significant differences in the functional pathways between the three peatlands at each depth, except for amino acid metabolism, membrane transport, cell motility, and signal transduction. Redundancy analysis (RDA) revealed that pH and soil water content were the primary environmental factors influencing the bacterial community structure. Therefore, this study is crucial to accurately forecast potential changes in peatland ecosystems and improve our understanding of the role of peat microbes as carbon pumps in the process of permafrost degradation.

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Section: Methodsmentioning

confidence: 99%

Diversity and Distribution Characteristics of Soil Microbes across Forest–Peatland Ecotones in the Permafrost Regions

Liu

Wang

et al. 2022

IJERPH

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“…Understanding the layer-by-layer SWD is crucial to determine the surface-to-subsurface SM connection (Hirschi et al 2014, Malik et al 2021, Xu et al 2022. This can best be done by the coupling strength analysis.…”

Section: Analytical Techniquesmentioning

confidence: 99%

“…Koster et al (2004) emphasized the role of subsurface SM variations on the land-atmosphere coupling strength by bringing out the crucial role of SWD in modulating the coupling. However, the present understanding about the connection between surface and subsurface SM variations and their relationship with soil temperature (ST) to get insights into the SWD remains relatively low (Xu et al 2022). It is also known that the root zone SM may affect the movement of water and energy between the surface and the atmosphere, and it has a memory that could be harnessed to improve weather forecasting (Kumar et al 2009).…”

Section: Introductionmentioning

confidence: 99%

“…In this context, exploring surface-subsurface SM coupling can constrain the uncertainties in estimating water and surface energy balance. Xu et al (2022) emphasised the importance of surface and subsurface SM coupling to estimate the subsurface SM. In light of the above discussions, it is important to understand level-by-level SM variability.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the soil water dynamics during excess and deficit rainfall conditions over the core monsoon zone of India

Goswami,

Mujumdar,

Singh

et al. 2023

Environ. Res. Lett.

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Observations of soil moisture (SM) during excess and deficit monsoon seasons between 2000 to 2021 present a unique opportunity to understand the soil water dynamics (SWD) over core monsoon zone (CMZ) of India. This study aims to analyse SWD by investigating the SM variability, SM memory (SMM), and the coupling between surface and subsurface SM levels. Particularly intriguing are instances of concurrent monsoonal extremes, which give rise to complex SWD patterns. Usually, it is noted that a depleted convective activity and persistence of higher temperatures during the pre-monsoon season leads to lower SM, while monsoon rains and post-monsoon showers support the prevalence of higher SM conditions. The long persistent dry spells during deficit monsoon years enhances the Bowen ratio (BR) due to the high sensible heat fluxes. On the other hand, the availability of large latent heat flux during excess monsoon and post-monsoon seasons tend to decrease the BR. This enhancement or reduction in BR is due to evapotranspiration (ET), which influences the SWD by modulating the surface—subsurface SM coupling. The surface and subsurface SM coupling analysis for CMZ exhibits significant distinction in the evolution of wet and dry extremes. SM variations and persistence time scale is used as an indicator of SMM, and analysed for both surface and subsurface SM observation levels. Evidently, subsurface SM exhibits remarkably prolonged memory timescales, approximately twice that of surface SM. Furthermore, we dissect SWD linked to wet and dry extremes by analysing annual soil water balance at a local site in Pune, India. Our findings reveal that ET and deep drainage on annual scale are modulated largely by number of break events during the monsoon season. In essence, our study underscores the significance of surface–subsurface SM observations in unravelling the intricate tapestry of SWD.

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“…Various methods are designed to control or maintain proper moisture in plant root zone and reduce moisture level. Xu et al (2022) improved subsurface soil moisture prediction from surface soil through integration of the (de)coupling effect. Soil sensor can maintain an optimum moisture level for favorable crop production.…”

Section: Introductionmentioning

confidence: 99%

Design of Automatic Irrigation Water Supply Monitor and Control System

Fahmida¹

2023

BEN

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Design of Automatic Irrigation Water Supply Monitoring and Controlling System was pursued to create an automatic irrigation controlling device for efficient water use and turning pumping motor ‘On’ or ‘OFF’ by sensing the moisture percentage in the field surface throgh moisture sensor. Objective was to reduce the involvement of man power for field irrigation monitoring purposes and reduce water requirement. This method can insure the proper use of water without wastage and save water for future. With the konwledge of moisture value in soil, we can estimate how much and when to irrigate crops. When the moisture content level on the output of the sensor or soil becomes less than 30% (desired value), then sensor generated an alarm and turns the motor on automatically. Displayed as ‘motor On’in the LCD display and soil level was shown as ‘dry soil’. Per hour machine data was received and shown in data table. A digital LCD Thermometer hygrometer Humidity Temperature sensor was also used to detect the temperature and relative humidity of the atmosphere with moisture content level was shown. Different field tests with crop and without crop were done. Total design cost was 4790 taka. Wet soil was tested with oven dry method to get accurate moisture level of the soil. Almost similar moisture percentage with moisture sensor was found. Temperature and relative humidity was also observed with weather station and found similar with sensor reading. Overall designed control and monitoring system was found satisfactory with minor errors.

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Improved subsurface soil moisture prediction from surface soil moisture through the integration of the (de)coupling effect

Cited by 14 publications

References 39 publications

Diversity and Distribution Characteristics of Soil Microbes across Forest–Peatland Ecotones in the Permafrost Regions

Diversity and Distribution Characteristics of Soil Microbes across Forest–Peatland Ecotones in the Permafrost Regions

Understanding the soil water dynamics during excess and deficit rainfall conditions over the core monsoon zone of India

Design of Automatic Irrigation Water Supply Monitor and Control System

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