Arabian Journal of Geosciences最新文献

{"title":"Tsunami hazard assessment for the Cilegon industrial zone, Java, Indonesia, by considering various digital elevation model (DEM) datasets and fault source models","authors":"Sesar Prabu Dwi Sriyanto,&nbsp;Arif Nurokhim,&nbsp;Teguh Sulistian,&nbsp;Indra Gunawan,&nbsp;Rizki Iman Sari,&nbsp;Brilian Tatag Samapta,&nbsp;Iman Fatchurochman,&nbsp;Fajar Triady Mugiarto,&nbsp;Rifqi Muhammad Harrys","doi":"10.1007/s12517-024-12133-w","DOIUrl":"10.1007/s12517-024-12133-w","url":null,"abstract":"<p>Sumatra-Java megathrust has been a host of six earthquake-triggered tsunamis in recent decades, which caused severe damage. Cilegon industrial area is a tsunami-prone zone since it is located on the Sunda Strait coast, facing a possibility of large-magnitude earthquake occurrence in the transition zone of Sumatra and Java megathrust. In this study, we assess the tsunami hazard in this area using a deterministic approach from a worst-case earthquake scenario (Mw 8.9). The assessment was done using numerical tsunami modeling, considering various fault source models and digital elevation model (DEM) datasets to accommodate the uncertainty of those factors in the modeling. Two source models (non-uniform and uniform fault slips) and three DEM datasets (global, regional, and local data) were employed. Uniform slip affected the smaller maximum tsunami amplitude than the non-uniform slip, but the travel time from these two source models is similar. Differences in water depth and slope bathymetry profile also strongly influence the tsunami propagation characteristics, particularly in the finest layer model. Generally, the Cilegon coast is consistently hit by up to 9 m of tsunami height from all used scenarios. The estimated tsunami arrival time is more than 60 min, providing enough time for the coastal community to evacuate to the higher ground level. However, the Cilegon industrial area is still categorized as highly hazardous since the tsunami strike can damage industrial buildings, infrastructure, and factory equipment, leading to economic losses.</p>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of circular statistics in seasonality analysis of extreme precipitation occurrence time in Urmia Lake basin","authors":"Rogieh Samadi,&nbsp;Yagob Dinpashoh,&nbsp;Ahmad Fakheri-Fard,&nbsp;Juraj Parajka","doi":"10.1007/s12517-024-12107-y","DOIUrl":"10.1007/s12517-024-12107-y","url":null,"abstract":"<div><p>Urmia Lake (UL), one of the most important saline ecosystems in the world, has faced a severe water level drop in the last two decades. In this research, the seasonality of precipitation in the Urmia Lake basin (ULB) was analyzed using the daily precipitation data of 30 rain-gauge stations in the period 1991–2018. The occurrence time of extreme precipitation (OTEP) was determined by using circular statistics. The uniformity of OTEP was examined by Rayleigh test (RT) and Kuiper test (KT). The slope of the trend lines for the OTEP was estimated using the modified Sen’s estimator. Trends in the OTEP were analyzed by the non-parametric Mann–Kendall test. The results indicated no uniformity in the OTEP at 0.1, 0.05, and 0.01 levels in the basin. Seasonal events throughout the year were divided into two separate seasons denoted by S1 for late winter and early spring and S2 for autumn. The results showed that the mean seasonality increased from 0.3 to 0.82 (for S1) and 0.9 for S2. The comparison of seasonal strength in the west and east parts of ULB revealed that these two parts of ULB had the same seasonality strength (SS) in the S1. However, the seasonality of the western part of the lake was stronger than the eastern part in S2. Trends in OTEP showed that about 60% of the stations witnessed upward trends in S1. This was about 27% in S2. The findings of this analysis can provide useful information about the changes in the OTEP and its hydrological impact on the studied basin. This information is helpful in the scientific management of water resources in the Urmia Lake basin.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geochemistry of sediments from the Mugheb River, Bamenda, Cameroon Volcanic Line: implications for provenance, paleoweathering and tectonic setting","authors":"Kouankap Nono Gus Djibril,&nbsp;Lemnyuy Prosper Yiika,&nbsp;Mary Ewokoko Molua Mbua Etutu,&nbsp;Bokanda Ekoko Eric,&nbsp;Emmanuel Eseya Mengu,&nbsp;Ndema Mbongué Jean-Lavenir,&nbsp;John S. Armstrong-Altrin","doi":"10.1007/s12517-024-12148-3","DOIUrl":"10.1007/s12517-024-12148-3","url":null,"abstract":"<div><p>Sediment samples from the Mugheb River in Bamenda were analyzed by inductively coupled plasma-optical emission spectrometry to determine their major, trace, and rare earth element contents, so as to ascertain their provenance, paleoweathering, and tectonic setting. The enrichment of Fe₂O₃ suggests these are derived from hematization of basaltic rocks. Significant SiO₂ content recalculated to an anhydrous basis and adjusted to 100% (SiO_2(adj)) indicates the abundance of quartz and kaolinite in sediment samples. Enrichment of transition elements relative to the reference values indicates mafic source rocks. The rare earth element patterns indicate negative Eu (Eu/Eu* = 0.54–0.82) and positive Ce (Ce/Ce* ~ = 1.04–1.67) anomalies, suggesting that they were derived by fractionated mafic rocks and, to a little extent, by fractionated felsic rocks. The chemical index of alteration (CIA) and plagioclase index of alteration (PIA) indicate intense weathering in the source area in a hot humid climate reflected by the removal of labile cations relative to stable residual constituents, which corroborate with the climate of the Cameroon. The ratios of SiO_2(adj)/Al₂O₃, K₂O/Al₂O₃, and K₂O/Na₂O and the index of compositional variability (ICVn) indicate compositionally mature sediments in which sediment samples experienced recycling and noticeable effect of sorting and reworking. The river sediments are deposited in oxic conditions within the riverine environment. The sediments were sourced dominantly from mafic and little contributions from felsic sources, and represent mature recycled detritus. Tectonic discrimination diagrams suggest that Mugheb River sediments were derived from rock types, which represent a passive continental margin, which is consistent with several tectonic history models of the Cameroon Volcanic Line and the Pan-African fold belt.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital mapping of soil properties using geomatics: integration of GIS, GPS, and remote sensing applications","authors":"Mohamed A. E. AbdelRahman,&nbsp;Ahmed A. Afifi","doi":"10.1007/s12517-024-12132-x","DOIUrl":"10.1007/s12517-024-12132-x","url":null,"abstract":"<div><p>Pressure on land is a consequence of population expansion, increased food consumption, and competition between land uses. Soils play a crucial role in supporting food production and providing ecosystem services. The demand for timely and relevant soil information that can support decision-making at different scales is increasing as efforts are made to ensure sustainable use of soil resources. Digital soil mapping (DSM) has become increasingly popular in various ecosystems, including arid, semi-arid, and humid regions, as well as rangelands and forests, due to its ability to overcome associated constraints to traditional methods of soil mapping. DSM offers a more efficient way to provide soil information in terms of time and cost, while improving map accuracy and providing quantified estimates of uncertainty. DSM involves the construction of soil spatial information systems using numerical models to analyze spatial and temporal variations in soil types and attributes based on soil observations, knowledge, and associated environmental factors. The main objective of this article is to present an overview of advances in thematic soil mapping in relation to advances in remote sensing (RS). First, we provide a brief summary of common tools used in DSM. Subsequently, we discuss advances in historical soil data, environmental variables, and applications of DSM tools. Finally, we present the major developments and future perspectives suggested by existing research. In conclusion, although DSM is becoming increasingly sophisticated to meet diverse soil information requirements, there are still issues to be addressed, particularly in highly heterogeneous and human-impacted environments. These issues require the development of new methodologies and applications of the DSM.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting permeability in sandstone reservoirs from mercury injection capillary pressure data using advanced machine learning algorithms","authors":"Faiq Azhar Abbasi,&nbsp;Areesha Sajjad,&nbsp;Mohsin Ayubi,&nbsp;Ghulam Haider,&nbsp;Shaine Mohammadali Lalji,&nbsp;Syed Imran Ali,&nbsp;Muneeb Burney","doi":"10.1007/s12517-024-12145-6","DOIUrl":"10.1007/s12517-024-12145-6","url":null,"abstract":"<div><p>Determining the permeability of the reservoir in the absence of well logs and core analysis data is a challenge in the oil and gas industry. Even though correlations such as Winland and Pittman exist, they often fail to provide an accurate permeability value. This study utilized the mercury injection capillary pressure data from published literature to determine the permeability in sandstone reservoirs. The dataset included parameters such as pore throat radius at various mercury saturations (25%, 35%, 50%, and 75%), along with permeability and porosity determined through laboratory experiments. Different machine learning techniques, namely, LASSO regression, ridge regression, support vector regression (SVR), random forest (RF) regression, decision tree (DT) regression, <i>K</i>-nearest neighbor (KNN) regression, gradient boosting, Ada Boost, and multilayered perceptron (MLP) were used to determine permeability values form porosity, pore throat radii, and pore throat sorting data. Sixty-three samples were randomly divided into training and test sets, out of which 75% were used for training both the models while 25% were used to test them. The regression coefficients suggested that pore throat radius at 75% saturation (r75) had the highest influence on the permeability values, followed by porosity (phi) and r50. It was noted that as the learning rate increased, the root mean squared error (RMSE) gradually reduced from 48.9208 to 47.2889 for ridge and LASSO-normal, while for ridge and LASSO-polynomial 99.97 to 52.2629. Various models and correlations have been developed in previous studies; however, the lithological characteristics of reservoir rock vary with location and subsurface factors. The novelty of this study lies in its integration of machine learning models with mercury injection capillary data for accurate permeability predictions, addressing the limitations of traditional correlations and offering a reliable method for characterizing sandstone reservoirs in the absence of well log data and evaluating the flow behavior of reservoir fluids within the porous media.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142736952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The combined effect of drilling fluid, in-situ stresses and inclination on wellbore stability","authors":"Hasan Karakul","doi":"10.1007/s12517-024-12138-5","DOIUrl":"10.1007/s12517-024-12138-5","url":null,"abstract":"<div><p>A great number of variables (such as rock properties, in-situ stresses, drilling fluid, inclination etc.) are effective on wellbore stability and the combined effect of those variables determines the stability condition of wellbore. The main aim of this study is to analyse the combined effect of drilling fluid, stress state and inclination angle considering that there is no comprehensive study conducted on the topic. In this study, three stress conditions (normal faulting stress condition, reverse faulting stress condition and strike slip faulting stress condition), three drilling fluids (bentonite based, KCl based and polymer based), three inclination angles (0, 45 and 90°) and two depths (2800 and 5000 ft) were considered to evaluate the effect of those parameters on wellbore stability. The results of analyses showed that the number of instabilitity zones around the wellbore increases as the inclination angle increases under normal fault stress state However, number of instability zones are higher for low inclination angle values under reverse and strike slip fault stress states. While the best stability condition was obtained with polymer drilling fluids due to limited decrement on strength properties, the worst stability condition was satisfied with bentonite drilling fluids due to considerable decrement on strength properties as a result of interaction with drilling fluid.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on the permeability evolution mechanism of fractured coal-rock combination under ground stress and gas pressure","authors":"Yulin Li,&nbsp;YiXin Zhao","doi":"10.1007/s12517-024-12128-7","DOIUrl":"10.1007/s12517-024-12128-7","url":null,"abstract":"<div><p>In view of the gas flow problem in the hydraulic fracturing engineering of L-type horizontal well and in the process of gas production in coalbed methane development, the permeability stress test of single fracture coal-rock combination was carried out. The permeability evolution law of fractured coal-rock combination under axial compression, confining compression, and gas pressure is analyzed. The axial compression has little effect on the permeability of coal-rock combination with fractures, and the permeability has no obvious change. Taking 0.25 MPa gas pressure as an example, the permeability of N1 fluctuates between 0.004 and 0.005 mD, and the permeability of N2 and N3 samples fluctuates between 0.002 and 0.0035 mD. With the increase of confining compression, the permeability decreases with the increase of confining compression. Taking the N4 sample as an example, when the gas pressure is 0.50 MPa, the permeability of N4 rapidly decreases from 0.351 to 0.0025 mD. The permeability has decreased by 99.3%. With the increase of gas pressure, the permeability and stress sensitivity of fractured coal-rock combination decrease gradually. In the process of gas pressure loading, the permeability decreases greatly due to the existence of gas slippage effect in the low-pressure stage. When the gas pressure exceeds 1 MPa, the joint action of slip effect and velocity-sensitive effect makes the permeability almost unchanged. Taking the N4 sample as an example, when the axial and confining pressures are 6 MPa, the permeability decays from 1.298 to 0.382 mD, with a decay ratio of 70.6%. Finally, the permeability calculation model of single fracture coal-rock combination under in situ stress and gas pressure can well match the experimental data and clarify the influence of each permeability on the overall permeability. The permeability model shows that the overall permeability depends on the part of the smaller permeability, and the higher permeability only makes the overall permeability increase slightly.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognosticators for precipitation variability adopting principal component regression analysis","authors":"Erum Aamir,&nbsp;Abdul Razzaq Ghumman","doi":"10.1007/s12517-024-12111-2","DOIUrl":"10.1007/s12517-024-12111-2","url":null,"abstract":"&lt;div&gt;&lt;p&gt;Precipitation is an intricate phenomenon influenced by several variables. It is extremely important to maintain life on Earth and balance the hydrological cycle. It is such a critical process that its scarcity leads to droughts and abundance leads to flooding, both extremities bring destruction. Nevertheless, predicting it properly through modeling can help attend to the unpredictability of this very important natural phenomenon. This novel research is dedicated to developing an accurate, mathematical model for establishing potential predictors of precipitation using data from the Pakistan Metrological Department (PMD). The study area is selected on its specific topography which is rugged terrain making it susceptible to flash flooding. On the contrary, Baluchistan province has encountered numerous reoccurring droughts and floods in the past few decades, which has destroyed the economy of the province mainly based on agriculture and livestock. Therefore, using precipitation data as a predictor with significant trends, a principal component regression analysis (PCRA) model has been developed for the significant months which are found to be the month of January and June. The Mann–Kendall technique was implemented to find the trend in the monthly precipitation data of 13 stations selected in Baluchistan which shows positive/negative trends in January and June. Principal components of large-scale oceanic and circulation indices, sea water surface temperature (SWST), geopotential height (GPH), sea-level pressure (SLP), relative humidity (RH), outgoing longwave radiation (OLR), and zonal wind (ZW), were the predictors. PCR is more robust than other modeling techniques; it can handle multicollinearity and reduces redundant variables. The current study identified the potential of precipitation variations with the help of two novel climate indices, EQWIN and ENSO-MODOKI, which have not been studied for the study area. The PCR model developed accounts for 73.33% and 95.05% of precipitation variability for January and June. The model successfully passed all pre- and post-estimation tests. The root mean square errors (RMSE) are 10.13 and 3.63 for January and June respectively. The results also show that the (EQWIN) and (EMI-Modoki) have a substantial effect on the precipitation pattern of a large province (Baluchistan), the province that hosts a significant portion of the routes of the Western and Central China-Pakistan Economic Corridor (CPEC) and International Gwadar port. The study addresses 2 SDGs namely SDG # 11.5 (natural disasters) and SDG#13 (climate action). It is also beneficial to the National Disaster Management Authorization (NDMA) and the Pakistan Metrological/Climate Department (PMD) by initiating timely flood alarms, water management indications, and drought threats. PCR modeling will not only reduce the devastation and catastrophe of flash floods due to unprecedented, torrential rain in the rugged terrain. It will save precious human","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on “Origin of cherts in Al Jabal al Akhdar, northeast Libya: petrographical and paleontological evidences” by Bakar et al. (2021)","authors":"Mohsen Henchiri","doi":"10.1007/s12517-024-12134-9","DOIUrl":"10.1007/s12517-024-12134-9","url":null,"abstract":"<div><p>Bakar (Arab J Geosci 14:763, 2021) presented a comprehensive study to answer some questions regarding the origin of cherts and selective silicification of Eocene and Messinian host rocks. Silicification is one of the most significant diagenetic processes influencing the evolution of sedimentary rocks, especially carbonates and evaporites, which makes this study interesting. A large number of sedimentologists, stratigraphers, petroleum geologists, and other related fields are interested in studying silicification owing to the potential information that study of silicification might provide on paleogeography, paleoceanography, stratigraphic correlations, the diagenetic history of carbonate rocks, and other topics. However, I have some comments on some points stated in the paper of Bakar (Arab J Geosci 14:763, 2021).</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geophysical modeling and reservoir performance of Aouinet Wanin F3B sandstone in well A37 NC 169A, Wafa Field, Ghadamis Basin, Libya","authors":"Ahmad M. K. Basal,&nbsp;Mohammad A. Sarhan,&nbsp;Mostafa Gumaa Alfarog,&nbsp;Ahmed Elbahrawy","doi":"10.1007/s12517-024-12131-y","DOIUrl":"10.1007/s12517-024-12131-y","url":null,"abstract":"<div><p>This study focuses on evaluating the quality of the Aouinet Wanin F3B sandstone as a potential hydrocarbon reservoir in Well A37, NC 169A, Wafa Field, Ghadamis Basin, northwest Libya. Capillary pressure data, a key indicator of pore throat size distribution and fluid percolation capability, is crucial for reservoir characterization. However, due to the high costs, time constraints, and environmental concerns associated with mercury injection capillary pressure testing, this study introduces an alternative approach. We utilize routine core analysis data specifically porosity and permeability to model synthetic drainage capillary pressure curves based on Pittman’s modified equations. Our results reveal three distinct rock types represent the reservoir intervals, categorized into mega-, macro-, and micro-pores. The uppermost zone of mega- and macro-pores demonstrates excellent to good reservoir qualities. The log–log plot of pore throat radius versus permeability using Pittman’s R50 equation yielded a 1 mD permeability cutoff, aligning with common reservoir benchmarks, while the Winland R35 equation produced a cutoff of 0.4 mD, slightly outside the acceptable range which is between 0.5 and 1 mD. These findings offer a cost-effective and reliable alternative for reservoir quality assessment.</p></div>","PeriodicalId":476,"journal":{"name":"Arabian Journal of Geosciences","volume":"17 12","pages":""},"PeriodicalIF":1.827,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}