Journal of Hydrology最新文献

{"title":"Evolution of in-situ thermal-enhanced oxidative remediation monitored by induced polarization tomography","authors":"Teng Xia, Jiaming Zhang, Miao Li, Damien Jougnot, Kai Yang, Shupeng Li, Deqiang Mao","doi":"10.1016/j.jhydrol.2024.132464","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132464","url":null,"abstract":"Traditional chemical analysis for monitoring the remediation process of contaminated soil and groundwater is limited in its spatiotemporal resolution and high cost. To overcome this shortcoming, we applied induced polarization (IP) tomograms to monitor the process of in-situ chemical oxidation coupled with thermal desorption in a field-scale NAPLs contaminated site. To compare the effectiveness of contaminant removal by different heating strategies, the contaminated site is divided into horizontal and vertical heating areas. The remediation lasted 25 days, including heating (days 1–14) and injection (days 15–25) stages. It is found that the variations in IP parameters shown in the tomograms correlate with temperature, groundwater level, oxidant transport and NAPLs removal. The resulting IP tomograms during heating reveal that continued heating of horizontal tubes and groundwater decline are dominant in IP variations within horizontal heating area, whereas temperature increase and NAPLs removal. The contaminant concentration during heating stage can be calculated based on variations in chargeability under stable groundwater level conditions, which facilitates the assessment of contaminant removal during heating. Furthermore, contaminant consumption with oxidant transport leads to a decrease in resistivity and chargeability for two heating areas during injection process. After stopping injection, there are large changes at shallow depths at 1–5 m bgs and modest changes at depths > 6 m bgs, indicating that the oxidant migrated downwards under density-driven transport. Our results demonstrate IP survey combined with hydrogeological parameters and geochemical measurement is suitable for quantifying contaminants removal during heating and identifying the migration pathway of the injected oxidant.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"92 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial variability of groundwater flow fields caused by nonstationary random input parameter processes","authors":"Ching-Min Chang, Chuen-Fa Ni, Chi-Ping Lin, I-Hsian Lee","doi":"10.1016/j.jhydrol.2024.132477","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132477","url":null,"abstract":"Much of the stochastic analysis of flow fields in heterogeneous formations in the literature treats the random input parameters that appear in the stochastic differential equation for the groundwater flow perturbations can be characterized by a covariance function. However, it may be that the covariance functions of the input parameters cannot be identified with the limited field data or that the covariance functions of the parameters do not exist at the regional scale. It is therefore necessary to generalize the existing stochastic theories for the quantification of groundwater flow variability to the case of nonstationarity of input parameter processes, which is the goal of the present work. This work deals with the problem of steady-state flow in heterogeneous confined aquifers with variable thickness, where the spatial variability of hydraulic conductivity and aquifer thickness are considered as intrinsic (nonstationary) random input processes. The introduction of the intrinsic spectral representations for the log conductivity and log aquifer thickness leads to an intrinsic process for the perturbation of the depth-averaged head, and therefore nonstationary semivariograms of the depth-averaged hydraulic head and the integrated specific discharge are developed to quantify the variability of the flow fields. The stochastic theories developed here improve the quantification of the variability of flow fields in natural confined aquifers. The analysis clearly demonstrates that the unbounded increase of the semivariograms of depth-averaged head and integrated discharge with separation distance indicates that quantifying the variability of depth-averaged head and integrated discharge using the assumption of second-order stationarity for the input parameters may lead to a significant underestimation of the variability of head and discharge for the case of variation of random input parameters characterized by a linear semivariogram model. The parameters that appear in the linear semivariograms of the logarithmic conductivity and the logarithmic thickness of the aquifer play a role in increasing the variability of the depth-averaged hydraulic head and thus the variability of the integrated discharge.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"68 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future propagation characteristics of meteorological drought to hydrological drought in the Yellow River basin","authors":"Xingyi Huang, Xiaoli Yang, Fan Wu, Jiale Zhang","doi":"10.1016/j.jhydrol.2024.132443","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132443","url":null,"abstract":"An in-depth understanding of drought evolution in the Yellow River Basin (YRB) is essential for effective drought prevention and water resource management. This study coupled the model data released by CMIP6 and the PCR-GLOBWB model to simulate the hydrological processes in the YRB, and characterize the spatial and temporal distributions of meteorological and hydrological droughts in the period of 2021–2050 (T1 period) and 2051–2080 (T2 period). Furthermore, this study explored the propagation characteristics from meteorological droughts to hydrological droughts. The results indicate that future climate change significantly impacts meteorological-hydrological droughts and their propagation characteristics in the YRB. In T1, overall meteorological drought tends to alleviate with increasing emission scenarios. However, in T2, meteorological drought duration and severity worsen, with fewer but more severe drought events compared to T1. Hydrological drought worsens in the future and exceeds past severity, with minor differences between emissions scenarios. Additionally, the study reveals the correlation between meteorological and hydrological droughts in the basin, with an enhanced correlation in upstream regions as emission scenarios intensify, indicating a rapid hydrological response to climate change. Notably, there are significant differences in drought propagation timescales across the basin, primarily concentrated at 2–10 month scales. The effective propagation rate ranges from 37 % to 50 % in T1 for low emission scenarios, but significantly decreases across the entire basin in T2, with decreasing trends in propagation rates for all sub-basins with increasing emission scenarios. These findings enhance understanding of future drought risks in the YRB and inform relevant policy development.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"33 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does landscape vegetation configuration regulate local channel initiation in a rapidly expanding micro-tidal system?","authors":"Dawei Wang, Junhong Bai, Chuanhui Gu, Olivier Gourgue, Jean-Philippe Belliard, Liyue Cui, Yinghai Ke, Liming Xue, Lixiang Wen, Stijn Temmerman","doi":"10.1016/j.jhydrol.2024.132473","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132473","url":null,"abstract":"Tidal channels are essential morphological structures that mediate hydrological connectivity and maintain coastal resilience. Previous studies on vegetation-induced channel development primarily focused on the stages of initial establishment or later elaboration, characterized by slow and localized changes. However, the impact of rapid shifts in landscape vegetation on the initiation of tidal channels, such as main or tributary channels, remains poorly understood, particularly in micro-tidal system. In this study, we investigated this relationship through satellite imagery analysis and biogeomorphic modeling of a rapidly expanding micro-tidal marsh in the Yellow River Delta, China, which has experienced an invasion by <ce:italic>Spartina alterniflora</ce:italic> over the past decade. The satellite imagery demonstrated that <ce:italic>Spartina alterniflora</ce:italic> invasion has increased drainage density and reduced overland flow path length. Our modeling results showed that local flow acceleration between vegetation patches was insufficient to rapidly initiate channels under micro-tidal conditions. As the patchy marsh coalesced and expanded into a contiguously vegetated marsh, it altered landscape-scale flow patterns, diverting from homogenous platform flow to concentrated channel flow. This shift prominently promoted the initiation of tributary channels in the landward marsh zone. The simulated scenarios of vegetation removal highlighted a marked increase in flow divergence from adjacent platforms due to changes in landscape-scale vegetation configuration. This alteration in flow pattern amplified local hydrodynamics, consequently intensifying local channel incision. Our findings emphasize that the channel initiation is significantly influenced by landscape-scale vegetation configuration under micro-tidal conditions, beyond the localized interactions between plants and flow.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"18 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial and seasonal variations of carbon emissions in an urban lake: Flux sensitivity and sampling optimization based on high-resolution measurements","authors":"Jie Yin, Xiaobing Chen, Lizhen Wen, Xiaoli Tu, Wenting Xie, Ran Xv","doi":"10.1016/j.jhydrol.2024.132472","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132472","url":null,"abstract":"Understanding the dynamics of <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> is important for evaluating carbon emissions from the aquatic environment. While temporal dynamics of <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> have been extensively studied, there is a noticeable gap in the literature concerning their spatial characteristics. In this study, we used boat-mounted sensors to directly measure <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> with high spatial resolution across seasons in Xuanwu Lake (XWL), an urban lake in Nanjing, China. Additionally, water chemistries were measured at selected sites for correlation analysis. Sensitivity analysis was performed to assess the effects of measurement location and density on carbon flux estimates.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"1 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupled hydrologic and hydraulic modeling for a lowland river basin in China","authors":"Jiapeng Zhang, Yanqing Lian, Qingyun Duan, Zhu Liu, Xiyezi Mao, Muwu Ling, Yashuo Guan","doi":"10.1016/j.jhydrol.2024.132470","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132470","url":null,"abstract":"Spatially distributed hydrologic models are effective tools to simulate the terrestrial water cycle at a large scale, but limitations in flow routing would suffer modeling accuracy for their applications over river basins featuring hydraulically complex drainage systems. Passing outputs from the hydrologic model into the hydraulic model for flow routing as the so-called external coupling has been a common practice to improve modeling accuracy. However, such an approach could be cumbersome and less effective for real-time flood management. In this study, an internally coupled hydrologic-hydraulic model (ICM) was developed from the SWAT+ and SWMM models and was thoroughly evaluated for parameter sensitivity and modeling accuracy by comparing with the hydrologic model (HM) SWAT+ for their applications to a lowland watershed in Central China. The results indicate the most sensitive parameters for the vertical hydrological processes remain the same for ICM and HM although the rankings of the sensitive parameters changed and the ICM modeling accuracy has greatly improved over HM, with the NSE increased from 0.636 to 0.858 and from 0.595 to 0.831 for the calibration and validation periods, respectively. This study also showed a clear improvement of model performance by the synthetic coupled approach (SCM) or so-called external coupling. However, SCM is under performed than ICM and also had a much larger system bias than ICM. Overall, this study showed the fully coupled model is most suitable for improved simulations of hydrology and hydraulics over lowland watersheds, which could provide more reliable results for watershed management.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gaussian process regression on multiple drivers and attributes for rapid prediction of maximum flood inundation extent and depth","authors":"Wen Wang, Q.J. Wang, Rory Nathan","doi":"10.1016/j.jhydrol.2024.132476","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132476","url":null,"abstract":"Traditional high-resolution flood models are too slow for real-time predictions. The most common industry practice is to use a lookup table or interpolation algorithm to derive flood extents from a pre-generated library of flood maps. For the library interpolation approach to be effective, the input flood data need to closely match those in the map library. To effectively emulate complex and dynamic flood behaviour, the interpolation approach should be able to account for multiple flood drivers (such as rivers, tributaries and tides) and attributes (such as shape and timing of the hydrographs). However, a simple extension of existing interpolation algorithms would make them overly complex and need a very large map library to deal with these drivers and attributes. To address this challenge, this study investigates the capability of a Gaussian Process (GP) modelling approach to accommodate the complex influence of multiple flood drivers and attributes, and thus to provide robust, accurate and fast predictions. By training the GP model, it learns the underlying relationships between flood depths and multiple flood drivers and attributes. Model accuracy and speed in predicting maximum flood extents and depths are examined. In a case study of a floodplain in Port Fairy, Australia, the GP model is found to generally outperform the library interpolation approach in accuracy, particularly for complex floods, while being similar efficient. The GP model is a promising approach for real-time flood predictions.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"28 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intensification of hourly and Small watershed flooding with rising temperatures","authors":"Hong Wang, Fubao Sun, Yao Feng, Tingting Wang, Wenbin Liu","doi":"10.1016/j.jhydrol.2024.132444","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132444","url":null,"abstract":"Global warming has increased intensity of extreme precipitation events, and it is expected that the intensity of resulting floods will also rise, especially as intensified short-duration extreme precipitation may exacerbate dangerous flash floods. However, quantitative evidence remains limited, and existing research tends to focus on large river basins. Here we analyzed and compared how hourly extreme precipitation and streamflow in the Yangtze River Basin and its tributaries respond to temperature changes using scaling analysis. Our findings reveal a consistent temperature response across different spatial scales in the basins: hourly extreme precipitation increases at approximately 1.75 times the rate of daily precipitation. Furthermore, floods show a positive response to rising temperatures, but the degree of this response is more consistent in the mainstem than it is in the tributaries. Both daily and hourly extreme streamflow in the mainstem increases by about 7 % (7.47 % and 6.18 % respectively) for every 1 °C increase in temperature. Notably, the increase in hourly extreme streamflow is less pronounced than that in hourly precipitation intensity, likely moderated by reservoirs and the various factors influencing flood formation. In contrast, hourly extreme streamflow in most tributaries increases by 14 % or more. These findings highlight that hourly extreme precipitation and flood responses in smaller watersheds significantly exceed thermodynamic expectations, increasing flash flood risks and posing challenges for flood mitigation.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"88 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insight into the impact of biogeochemical reactions of groundwater nitrogen on chemical weathering and carbon cycling","authors":"Dan Wang, Peiyue Li, Yujie Ji, Xiaofei Ren","doi":"10.1016/j.jhydrol.2024.132458","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132458","url":null,"abstract":"Groundwater nitrate pollution is a global environmental issue impacted by complex biogeochemical processes. The biogeochemical behavior of nitrogen in groundwater can significantly influence the hydrogeochemical processes and the carbon cycle. This study, taking the Jinghuiqu Irrigation District in China as an example, analyzed the biogeochemical processes of nitrate in groundwater, and discussed their effects on groundwater chemical weathering and the carbon cycle by using groundwater chemistry, multiple isotopes (δ<ce:sup loc=\"post\">15</ce:sup>N-NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup>, δ<ce:sup loc=\"post\">18</ce:sup>O-NO<ce:inf loc=\"post\">3</ce:inf><ce:sup loc=\"post\">−</ce:sup>, and δ<ce:sup loc=\"post\">18</ce:sup>O-H<ce:inf loc=\"post\">2</ce:inf>O), and microbial techniques. Results indicated that nitrification predominantly drives the biogeochemical processes of nitrogen in groundwater in this area. Anthropogenic nitrogen inputs enhanced the geochemical weathering of sediments in shallow groundwater systems through nitrification. As nitrification increased nitrate concentrations, the net CO<ce:inf loc=\"post\">2</ce:inf> sink gradually shifted to a net CO<ce:inf loc=\"post\">2</ce:inf> source. Under the influence of nitrification, the CO<ce:inf loc=\"post\">2</ce:inf> consumption decreases, leading to a reduction in the carbon sink. The average CO<ce:inf loc=\"post\">2</ce:inf> consumption rates of carbonate weathering and silicate weathering were 1.10 × 10<ce:sup loc=\"post\">5</ce:sup> mol/km<ce:sup loc=\"post\">2</ce:sup>/yr and 0.60 × 10<ce:sup loc=\"post\">5</ce:sup> mol/km<ce:sup loc=\"post\">2</ce:sup>/yr, respectively. Additionally, energy released during nitrification may promote microbial metabolic processes related to the carbon cycle. Correlation analysis of the nitrogen cycle and carbon cycle pathways revealed a significant association (p ≤ 0.05) between nitrification and both the reductive tricarboxylic acid cycle and the Calvin-Benson-Bassham cycle. Therefore, nitrification significantly influences the nitrogen cycle and may indirectly affect the carbon cycle. This research enhances our understanding of how the biogeochemical processes of groundwater nitrogen impact hydrochemistry and the carbon cycle, providing scientific insights for addressing climate change and ecosystem management.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"51 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the spatiotemporal distribution characteristics and driving factors of water erosion in mountain area based on RUSLE-SDR","authors":"Jimin Mi, Xiong Xiao, Qingyu Guan, Qingzheng Wang, Jun Zhang, Zepeng Zhang, Enqi Yang","doi":"10.1016/j.jhydrol.2024.132451","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132451","url":null,"abstract":"Quantifying the contributions of driving factors and analyzing dynamic changes of water erosion in mountain areas are crucial for water erosion control and sustainable soil resource utilization. In this study, the Revised Universal Soil Loss Equation (RUSLE) and Sediment Delivery Ratio (SDR) model were integrated, and the Geographically Weighted Regression (GWR) and path analysis models were used to explore the contributions and interactions of key influencing factors (precipitation, NDVI, slope, soil moisture) on water erosion in Longnan City. The results showed that the RUSLE-SDR model could simulate the water erosion process effectively in Longnan City from 2000 to 2020 (R<ce:sup loc=\"post\">2</ce:sup> = 0.821, NSE = 0.67). The spatial and seasonal distribution of water erosion intensity was consistent with precipitation, showing the characteristics of weak in northwest and strong in southeast, and summer is the most serious period of water erosion. The GWR and path analysis models revealed that vegetation and slope were the main influencing factors of water erosion, and they had a strong interaction. When NDVI was below 0.67, slope had a direct impact on water erosion; when NDVI was between 0.67 and 0.82, slope and vegetation jointly influenced water erosion; and when NDVI was above 0.82, vegetation became the dominant factor, while slope indirectly affected erosion by regulating vegetation cover. Precipitation was the main factor that influenced erosion when the rainfall was less than 550 mm, but when the rainfall exceeded 550 mm, it exhibited a strong inhibitory effect on erosion through vegetation. This study reveals water erosion’s driving mechanisms in mountain areas and provides soil erosion control measures’ implementation with a scientific basis and theoretical support.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"13 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}