Geoderma最新文献

{"title":"Soil Science-Informed Machine Learning","authors":"Budiman Minasny ,&nbsp;Toshiyuki Bandai ,&nbsp;Teamrat A. Ghezzehei ,&nbsp;Yin-Chung Huang ,&nbsp;Yuxin Ma ,&nbsp;Alex B. McBratney ,&nbsp;Wartini Ng ,&nbsp;Sarem Norouzi ,&nbsp;Jose Padarian ,&nbsp;Rudiyanto ,&nbsp;Amin Sharififar ,&nbsp;Quentin Styc ,&nbsp;Marliana Widyastuti","doi":"10.1016/j.geoderma.2024.117094","DOIUrl":"10.1016/j.geoderma.2024.117094","url":null,"abstract":"<div><div>Machine learning (ML) applications in soil science have significantly increased over the past two decades, reflecting a growing trend towards data-driven research addressing soil security. This extensive application has mainly focused on enhancing predictions of soil properties, particularly soil organic carbon, and improving the accuracy of digital soil mapping (DSM). Despite these advancements, the application of ML in soil science faces challenges related to data scarcity and the interpretability of ML models. There is a need for a shift towards Soil Science-Informed ML (SoilML) models that use the power of ML but also incorporate soil science knowledge in the training process to make predictions more reliable and generalisable. This paper proposes methodologies for embedding ML models with soil science knowledge to overcome current limitations. Incorporating soil science knowledge into ML models involves using observational priors to enhance training datasets, designing model structures which reflect soil science principles, and supervising model training with soil science-informed loss functions. The informed loss functions include observational constraints, coherency rules such as regularisation to avoid overfitting, and prior or soil-knowledge constraints that incorporate existing information about the parameters or outputs. By way of illustration, we present examples from four fields: digital soil mapping, soil spectroscopy, pedotransfer functions, and dynamic soil property models. We discuss the potential to integrate process-based models for improved prediction, the use of physics-informed neural networks, limitations, and the issue of overparametrisation. These approaches improve the relevance of ML predictions in soil science and enhance the models’ ability to generalise across different scenarios while maintaining soil science principles, transparency and reliability.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117094"},"PeriodicalIF":5.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermostability and solubility of ammonium illite and ammonium montmorillonite: Implication for inorganic nitrogen preservation","authors":"Ni He ,&nbsp;Hongfei Cheng ,&nbsp;Peixin Du ,&nbsp;Aiqing Chen ,&nbsp;Yutong Han ,&nbsp;Shangying Li","doi":"10.1016/j.geoderma.2024.117097","DOIUrl":"10.1016/j.geoderma.2024.117097","url":null,"abstract":"<div><div>Investigation of the thermostability and solubility of ammonium-bearing clay minerals is essential for assessing the inorganic nitrogen preservation by minerals and revealing the fate of inorganic nitrogen in soil. In this study, natural ammonium illite and laboratory-prepared ammonium montmorillonite were systematically characterized to explore their mineralogical characteristics, thermostability, and solubility. For ammonium illite, an increase of <em>d</em>₀₀₁-value to 10.334 Å in the X-ray diffraction (XRD) pattern and an appearance of strong absorption bands at 3309, 3043, and 1432 cm⁻¹ as well as blue shifts of structural hydroxyls vibrations in the Fourier transform infrared (FTIR) spectrum. The <em>d</em>₀₀₁-value of ammonium montmorillonite is ∼12.05 Å, and the FTIR spectra show NH₄⁺ absorption bands at 3120, 3005, and 1402 cm⁻¹. Thermostability analyses indicate that the presence of interlayered NH₄⁺ reduces the structural stability of both illite and montmorillonite during heating, but the deamination temperatures of ammonium illite and ammonium montmorillonite are estimated conservatively to be above ∼320°C, which is higher than the deamination temperatures of common inorganic ammonium compounds. The result of dissolution experiments shows that the release efficiency of NH₄⁺ from ammonium illite does not exceed ∼4 % under a pH value range of 1–14 at room temperature, while that in ammonium montmorillonite does not exceed ∼8 % at pH 2–11. These findings help to determine the existence of NH₄⁺ in the interlayers of 2:1 type clay minerals and suggest that 2:1 type clay minerals can effectively preserve inorganic nitrogen in soil under moderate field biomass burning or moist conditions.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117097"},"PeriodicalIF":5.6,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensor-based peat thickness mapping of a cultivated bog in Denmark","authors":"Diana Vigah Adetsu ,&nbsp;Triven Koganti ,&nbsp;Rasmus Jes Petersen ,&nbsp;Jesper Bjergsted Pedersen ,&nbsp;Dominik Zak ,&nbsp;Mogens Humlekrog Greve ,&nbsp;Amélie Beucher","doi":"10.1016/j.geoderma.2024.117091","DOIUrl":"10.1016/j.geoderma.2024.117091","url":null,"abstract":"<div><div>Draining peatlands for agriculture transforms them into significant carbon (C) sources. Restoring drained peatlands is increasingly recognized as a climate action strategy to reduce terrestrial greenhouse gas emissions. Restoration efforts often require accurate inputs, like peat thickness (PT), for C-stock estimation and monitoring; however, these are often lacking or available at suboptimal accuracy levels. In this study, apparent electrical conductivity (EC_a) from proximal electromagnetic induction (EMI) surveys and topographic variables derived from a LiDAR-based digital elevation model were assessed as covariates for PT mapping of an agricultural bog, separately and combined, using the quantile random forest algorithm. Local models were trained separately for the large (308 ha) and small (42 ha) EMI surveyed areas, while global models combined data from both areas for a full site analysis. The subsurface was characterized based on resistivity variations in inverted towed transient electromagnetic (tTEM) data. The results indicated that combining topographic and EC_a covariates yielded the best PT prediction accuracy for the global model, with a<!--> <!-->coefficient of determination of 0.61 and a normalized root mean square error (NRMSE) of 0.10. The best large area local model was less accurate than the former (NRMSE of 0.18), while the best small area local model (NRMSE of 0.11) was superior to the best global model. Models trained with only topographic or EC_a covariates were the least accurate, especially for the EC_a-only model. The tTEM results revealed a heterogenous site characterized by a thin, resistive peat layer overlying stratified postglacial deposits of clay, sand, and saline chalk. Our findings show that covariates characterizing surface and subsurface properties are essential for accurate PT mapping and can inform tailored land use planning and restoration initiatives for degraded peatlands.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117091"},"PeriodicalIF":5.6,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plants and microorganisms both contribute to soil organic matter formation through mineral interactions: Evidence from a subtropical forest succession","authors":"Yiren Zhu ,&nbsp;Minghui Hu ,&nbsp;Dafeng Hui ,&nbsp;Guoxiang Niu ,&nbsp;Jianling Li ,&nbsp;Xianyu Yao ,&nbsp;Yuanliu Hu ,&nbsp;Xiaolin Huang ,&nbsp;Yonghui Li ,&nbsp;Deqiang Zhang ,&nbsp;Qi Deng","doi":"10.1016/j.geoderma.2024.117099","DOIUrl":"10.1016/j.geoderma.2024.117099","url":null,"abstract":"<div><div>Understanding the formation and stabilization of soil organic carbon (SOC) is essential for predicting SOC dynamics. Traditionally, it was believed that SOC accumulates primarily through the selective retention of recalcitrant plant lignin components. However, an emerging hypothesis suggests that microbial necromass adsorbed onto mineral-associated soil fractions play a more significant role in promoting SOC formation. In this study, we tested the above hypothesis by investigating SOC content, particulate fraction (LF + POC) <em>vs.</em> mineral-associated fraction (MAOC), along with microbial necromass (amino sugars as biomarker) and plant lignin component (lignin phenols as biomarker) in the topsoil (0–20 cm) and subsoil (20–40 cm) across three successional stages: early coniferous forest, middle mixed forest and climax broadleaved forest in southern China. Results showed that SOC content increased with forest succession, accompanied by increasing contributions of MAOC in both soil layers. Interestingly, the contribution of microbial necromass to SOC increased throughout the succession only in the subsoil, whereas in the topsoil, it increased from the early to the middle stage, then slightly decreased at the climax stage. Additionally, the contributions of lignin phenols or LF + POC to SOC decreased in both soil layers with forest succession. A partial least squares path model further revealed that MAOC played a dominate role in governing SOC accumulation, driven by active mineral content combined with plant-derived dissolved organic matter in the topsoil and microbial necromass in the subsoil. Collectively, our findings suggest that plants and microorganisms contribute to SOC formation through interactions with minerals, unveiling an intricate interactive mechanism of plant–microbe-mineral continuum in SOC stabilization.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117099"},"PeriodicalIF":5.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consistent positive response but inconsistent microbial mechanisms of absorptive root litter-induced priming effect to warming at different decomposition stages","authors":"Dongmei Wu ,&nbsp;Xiaohong Wang ,&nbsp;Ailian Fan ,&nbsp;Yuqi Chen ,&nbsp;Zhijie Yang ,&nbsp;Maokui Lyu ,&nbsp;Xiaodong Yao ,&nbsp;Jianfen Guo ,&nbsp;Yusheng Yang ,&nbsp;Guangshui Chen","doi":"10.1016/j.geoderma.2024.117079","DOIUrl":"10.1016/j.geoderma.2024.117079","url":null,"abstract":"<div><div>The fresh carbon (C) induced priming effect (PE) on soil organic C (SOC) decomposition is critical for global C cycling. Climate warming could raise absorptive roots production and turnover, and then increase the input of absorptive roots litter (ABRL). Therefore, it is urgent to understand the PE induced by ABRL under warming. We conducted a 210-day experiment by adding ABRL of <em>Cunninghamia lanceolata</em> into a C₄ soil and incubating them at 19 °C and 23 °C. We found that adding ABRL caused positive PE throughout the incubation. At the early stage (ES: first 30 days), labile C compounds dominated the decomposition of ABRL, significantly higher dissolved organic C (DOC), microbial biomass C (MBC), and absolute hydrolase activities were found in the ABRL treatment than in the control. These results supports that labile C inputs stimulating microbial growth, enzyme activities and cause positive PE via co-metabolic. At the later stage (LS: after 180 days), the release of structural C compounds dominated the decomposition of ABRL, a significantly lower available nitrogen (N) and a significantly higher specific potential N-acquisition (N_acq) enzymes were found in the ABRL treatment than in the control. These results suggests that microbes utilizing the C as energy to increase N_acq enzymes to decompose SOC for N mining under N limitation induced positive PE. Warming significantly increased the PEs at both stages. At the ES, warming increased the MBC at the cost of DOC, suggesting that warming intensifies the microbial co-metabolism. At the LS, warming significantly decreased the available N and increases the absolute potential oxidases activities, suggesting an increased N limitation and oxidation for N-rich recalcitrant SOC, <em>i</em>.<em>e</em>., a promoted microbial N mining. Nevertheless, we did not observe a significant effect of ABRL addition on the temperature sensitivity of SOC decomposition compared to the control. This study provides a valuable insight that warming could consistently increase the ABRL induced PE but through different microbial mechanisms along with the decomposition processing.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117079"},"PeriodicalIF":5.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Arbuscular mycorrhizal hyphal networks and glomalin-related soil protein jointly promote soil aggregation and alter aggregate hierarchy in Calcaric Regosol","authors":"Lingling Ji ,&nbsp;Xiuhua Chen ,&nbsp;Chuanqin Huang ,&nbsp;Wenfeng Tan","doi":"10.1016/j.geoderma.2024.117096","DOIUrl":"10.1016/j.geoderma.2024.117096","url":null,"abstract":"<div><div>The Loess Plateau of China (LPC) is one of the most severely eroded areas in the arid and semi-arid regions of northern China. Improving soil aggregate stability and hierarchy in Calcaric Regosol is vital for mitigating soil erosion. However, Calcaric Regosol exhibits weak aggregate hierarchy, and there is limited correlation between its aggregate stability and soil organic matter (SOM). Arbuscular mycorrhizal (AM) fungi, known for their soil-structuring capabilities, may hold potential for improving aggregate stability, yet their specific impact on calcareous soil remains unclear. In this study, a three-compartment growth system was used to separate the root and AM fungi, and the impact of AM fungi on soil aggregate stability and hierarchy was quantified. The AM fungi, <em>Rhizophagus intraradices</em> and <em>Funneliformis mosseae</em>, were separately inoculated into mycorrhizal compartments under well-watered and drought stress conditions. Aggregate stability was measured through the wet sieving method and ultrasonic dispersive technology, while aggregate hierarchy was assessed by characteristic disruption and dispersion curves. The results revealed that AM fungi significantly increased the water-stable aggregate stability, and the inoculation reduced the rate of macroaggregate disruption and microaggregate dispersion rate mediated by hyphal network and glomalin. Despite these improvements, the characteristic curves indicated no strong aggregate hierarchy. A permutation test identified hyphal length and glomalin-related soil protein (GRSP) as critical factors contributing to soil aggregate stability. These results suggest that increases in hyphae and GRSP, which are important components of SOM, promote soil aggregation and modify aggregate hierarchy in calcareous soils. This study introduces an energy-based approach to investigate the soil aggregate hierarchy, proposing AM fungi as an effective ecological strategy to restore aggregate stability and mitigate soil erosion on the LPC.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117096"},"PeriodicalIF":5.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On soil districts","authors":"Alexandre M.J.-C. Wadoux ,&nbsp;Léa Courteille ,&nbsp;Dominique Arrouays ,&nbsp;Lucas De Carvalho Gomes ,&nbsp;Jérôme Cortet ,&nbsp;Rachel E. Creamer ,&nbsp;Einar Eberhardt ,&nbsp;Mogens H. Greve ,&nbsp;Erik Grüneberg ,&nbsp;Roland Harhoff ,&nbsp;Gerard B.M. Heuvelink ,&nbsp;Ina Krahl ,&nbsp;Philippe Lagacherie ,&nbsp;Ladislav Miko ,&nbsp;Vera L. Mulder ,&nbsp;László Pásztor ,&nbsp;Silvia Pieper ,&nbsp;Anne C. Richer-de-Forges ,&nbsp;Antonio Rafael Sánchez-Rodríguez ,&nbsp;David Rossiter ,&nbsp;Johanna Wetterlind","doi":"10.1016/j.geoderma.2024.117065","DOIUrl":"10.1016/j.geoderma.2024.117065","url":null,"abstract":"<div><div>In 2023, the European Commission released a legislative proposal for a Directive on Soil Monitoring and Resilience which aims to define a legal framework to achieve healthy soils across the European Union (EU) by 2050. A key component of the initial Directive is the mandate for Member States to establish basic geographic soil governance units, referred to as soil districts, and appoint a district-specific authority to oversee the implementation of soil health assessments. This paper proposes an operational definition of the districts following the conditions outlined in the proposal for the Directive and discusses various attention points for their implementation. Tentative districts were developed for seven EU countries, considering soil type, climate, topography, and land cover factors, starting from the smallest existing administrative unit (i.e. municipalities). Experts were asked to report on the applicability of the proposed districts within well-known pedo-ecological regions and discuss the relevance of the districts for establishing an EU-wide monitoring network and reporting on soil health and degradation. The outcomes highlight the need for detailed soil maps to account for specific soil types when stratifying countries into soil districts. The soilscape approach allows for a consistent method to defining soil districts across Member States. This enables contrasting soils within a district to be managed in a similar manner, with soil degradation/health thresholds applied to each district based on land cover. However, it is unclear whether soil districts as currently formulated in the Directive are in fact the right tool to support local soil management and monitoring of soil health. Districts can help ensure that all soil conditions are covered in a monitoring system, but they may not provide support for soil management or monitoring at a local scale due to short-scale soil variability and threats affecting soil management within the same soilscape. Beyond the use of districts for designing a European/national scale monitoring system, the districts can help create animations and other educational tools to promote soil literacy and connectivity of users to soils locally.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117065"},"PeriodicalIF":5.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term nitrogen addition has a positive legacy effect on soil respiration in subtropical Moso bamboo forests","authors":"Quan Li ,&nbsp;Chao Zhang ,&nbsp;Man Shi ,&nbsp;Jianhua Lv ,&nbsp;Changhui Peng ,&nbsp;Junbo Zhang ,&nbsp;Scott X. Chang ,&nbsp;Tingting Cao ,&nbsp;Tong Li ,&nbsp;Xinzhang Song","doi":"10.1016/j.geoderma.2024.117092","DOIUrl":"10.1016/j.geoderma.2024.117092","url":null,"abstract":"<div><div>Soil respiration (Rs), a critical component of the global carbon (C) cycle, is sensitive to changes in nitrogen (N) deposition. However, the temporal dynamics of the effects of long-term (≥ five years) N addition and its cessation on Rs in forests remain uncertain. We conducted a continuous field experiment, which included three years of N cessation after seven years of N addition at different rates (0, 30, 60, and 90 kg N∙ha⁻¹∙yr⁻¹), in a subtropical Moso bamboo forest to explore the response of Rs and its components, determine the influence of biotic and abiotic factors to long-term N addition, and identify any legacy effects. We found a two-phase pattern of Rs, with a significant increase in the first two years across three N addition rates and a constant significant increase in the last five years across low and medium N addition; however, Rs did not change under high N addition. The nitrogen addition legacy effects significantly increased Rs and autotrophic respiration but reduced heterotrophic respiration, which could persist for at least three years. The mechanism underlying the temporal variation in Rs and its components was related to the increase in fine root biomass and changes in soil microbial biomass and bacteria to fungi ratio. These findings have advanced our understanding of soil CO₂ dynamics in subtropical forests under N deposition. Moreover, they reveal that the legacy effects of long-term N addition should be incorporated into global C cycle modeling to reflect the persistent effects of N deposition on forest ecosystem C budgets.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117092"},"PeriodicalIF":5.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can inert pool models improve predictions of biochar long-term persistence in soils?","authors":"Haichao Li ,&nbsp;Elias S. Azzi ,&nbsp;Cecilia Sundberg ,&nbsp;Erik Karltun ,&nbsp;Harald Cederlund","doi":"10.1016/j.geoderma.2024.117093","DOIUrl":"10.1016/j.geoderma.2024.117093","url":null,"abstract":"<div><div>The long-term persistence of biochar in soil is often predicted by extrapolating mineralization data from short-term laboratory incubations. Single first-order, double first-order, triple first-order and power models have been employed for this purpose, all of which have an inherent assumption that biochar is biodegradable. However, recent insights challenge this assumption by suggesting that a large fraction of biochar is inert. If so, it would make sense to reflect this in the models used, by incorporating an inert carbon (C) pool. We hypothesized that such inert pool models would fit better to incubation data than existing models and give more reliable long-term predictions. We evaluated this by fitting the models to data from a recently compiled extensive dataset of biochar incubations. The inclusion of an inert pool enhanced the model fits over first-order models in most cases. However, inert pool models overestimated biochar persistence compared to the measured outcomes. By contrast, the double first-order model, which has been the most widely used to date, underestimated biochar persistence even in the short term. The power model in general outperformed all other models and gave the most reliable predictions, although it was sensitive to increasing or fluctuating mineralization rates in the datasets.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117093"},"PeriodicalIF":5.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring soil cracking using OFDR-based distributed temperature sensing framework","authors":"Jin-Jian Xu ,&nbsp;Chao-Sheng Tang ,&nbsp;Yaowen Yang ,&nbsp;Zhao-Jun Zeng ,&nbsp;Lin Li ,&nbsp;Qing Cheng ,&nbsp;Xi-Ying Zhang ,&nbsp;Bin Shi","doi":"10.1016/j.geoderma.2024.117090","DOIUrl":"10.1016/j.geoderma.2024.117090","url":null,"abstract":"<div><div>Soil cracking induced by extreme drought represents a widespread natural phenomenon occurring across the earth surface, capable of triggering multiple weakening mechanisms within surface soils, potentially leading to the instability and failure of slopes and agricultural infrastructures. This study proposes an innovative geophysical monitoring framework for detecting field soil cracking by combining the actively heated fiber-optic (AHFO) method and distributed fibre optical sensing (DFOS) based on optical frequency domain reflectometry (OFDR) technique, referred to as AH-OFDR framework. Laboratory calibration tests, field monitoring tests, numerical simulations, and sensitivity analyses were employed to comprehensively evaluate the feasibility, effectiveness, and limitations of the AH-OFDR framework for soil crack monitoring. Laboratory calibration confirmed that the DFOS-OFDR technique achieves a minimum spatial resolution and readout accuracy of 1 mm, along with a temperature measurement accuracy of ±0.1 °C. Field monitoring verified that the AH-OFDR framework can accurately detect soil cracks ranging in width from 0.01 m to 0.12 m. Additionally, numerical simulations not only validated the effectiveness of the AH-OFDR framework across a broader range of crack widths, from 0.01 m to 0.50 m, but also established a quantitative relationship between temperature changes and the spatial distribution of crack positions and widths. Notably, a critical crack width threshold of 0.30 m was identified within the AH-OFDR framework, significantly impacting the prediction of soil crack widths. Sensitivity analysis demonstrated the remarkable crack detection capabilities of the AH-OFDR framework, irrespective of the soil crack width and spacing. The AH-OFDR framework holds substantial potential as an innovative and high-resolution observational method for advancing our understanding of diverse geological and hydrogeological processes.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"452 ","pages":"Article 117090"},"PeriodicalIF":5.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}