Physics and Chemistry of the Earth最新文献_第8页

Thermo-mechanical response of Sakesar limestone under cyclic steam injection: Insights from the Potwar Basin, Pakistan 循环注蒸汽作用下Sakesar石灰岩热力学响应：来自巴基斯坦Potwar盆地的启示

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.pce.2026.104285

Syed Bilawal Ali Shah

Thermal enhanced oil recovery (EOR) is an effective method for extending production from mature fractured carbonate reservoirs. This study examines the thermo-mechanical behavior of the Eocene Sakesar Formation in the Balkassar Oil Field, Potwar Basin, Pakistan, under cyclic steam stimulation (CSS) conditions representative of near-wellbore operations. An integrated experimental and numerical approach was employed, including uniaxial compressive and Brazilian tensile strength tests, joint shear tests, permeability measurements, micro-computed tomography (micro-CT), and coupled thermo-hydro-mechanical (THM) modeling. Limestone cores were subjected to ten heating–cooling cycles between 25 °C and 180 °C, with properties assessed after each cycle. Results show progressive, non-linear mechanical degradation, with uniaxial compressive strength decreasing from 47.5 MPa to 31.5 MPa and Young's modulus from 22.4 GPa to 16.7 GPa. In contrast, permeability increased irreversibly from 28 mD to 56 mD. Micro-CT analysis indicates that permeability enhancement is governed mainly by fracture network connectivity and coalescence rather than aperture enlargement alone, despite mean fracture aperture increasing from 0.15 mm to 0.39 mm. THM simulations reveal significant near-wellbore thermal stress redistribution and identify a high slip-tendency zone within ∼10 m of the wellbore during heating, suggesting potential shear reactivation of pre-existing fractures. These findings highlight the dual impact of cyclic thermal stimulation: improved injectivity through fracture connectivity evolution and increased geomechanical risk related to fracture reactivation and wellbore stability in compressional settings. This integrated framework supports safer and more efficient thermal EOR design for the Balkassar Oil Field and similar fractured carbonate reservoirs.

热采是成熟裂缝性碳酸盐岩油藏增产的有效手段。本研究考察了巴基斯坦Potwar盆地Balkassar油田始新世Sakesar组在循环蒸汽增产（CSS）条件下近井作业的热力学行为。采用了综合实验和数值方法，包括单轴压缩和巴西拉伸强度测试、节理剪切测试、渗透率测量、微计算机断层扫描（micro-CT）和热-水-力学耦合（THM）建模。石灰石岩心在25°C和180°C之间进行了10次加热-冷却循环，每次循环后评估其性能。结果表明：试件的单轴抗压强度从47.5 MPa降至31.5 MPa，杨氏模量从22.4 GPa降至16.7 GPa；相比之下，渗透率从28 mD不可逆地增加到56 mD。Micro-CT分析表明，尽管平均裂缝孔径从0.15 mm增加到0.39 mm，但渗透率的增加主要是由裂缝网络的连通性和聚结决定的，而不仅仅是裂缝孔径的扩大。THM模拟显示了显著的近井热应力重分布，并在加热过程中在距井筒约10米的范围内发现了一个高滑移倾向区，这表明存在裂缝的潜在剪切重新激活。这些发现强调了循环热增产的双重影响：通过裂缝连通性的演变提高了注入能力，同时增加了与裂缝再激活和井筒稳定性相关的地质力学风险。该集成框架为Balkassar油田和类似的裂缝性碳酸盐岩油藏提供了更安全、更高效的热驱设计。

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引用次数: 0

Evaluation of water use efficiency and rice yield under different water saving irrigation practices 不同节水灌溉方式下水稻水分利用效率及产量评价

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.pce.2026.104272

Shashank Shekhar , Chwadaka Pohshna , Suyog Khose Balasaheb , Rajesh Chandra Verma

Efficient water management in rice cultivation is critical for sustainability in water-stressed regions like Eastern Uttar Pradesh. A three-year field study (2022–2025) was conducted to evaluate the performance of three alternate irrigation practices, Alternate Wetting and Drying (AWD), System of Rice Intensification (SRI), and Direct-Seeded Rice (DSR) in comparison to conventional continuous irrigation practice (CNV). This study aims to enhance water use efficiency (WUE) and grain yield. AWD scheduling was guided by 15 cm-deep perforated PVC pipes to initiate irrigation only after the perched water table receded. SRI and DSR followed saturated soil conditions, applying shallow irrigation when surface moisture was depleted. Results revealed that AWD significantly reduced total water application by 40–45 % while improving grain yield by 28–40 % over CNV. SRI also performed exceptionally, with water savings of up to 51.5 % and yield gains of 30–38 %. DSR yielded 20–31 % more than CNV but lagged slightly behind AWD and SRI in physiological and yield traits due to plant density-related constraints. AWD exhibited superior water productivity, with the highest crop water use efficiency (CWUE: 14.47–15.45 kg/ha/mm) and field water use efficiency (FWUE: 5.43–6.63 kg/ha/mm). The study concludes that AWD and SRI offer scalable, climate-resilient alternatives to CNV, with AWD showing consistent yield advantages and irrigation water savings. These findings provide strong evidence to recommend water saving irrigation strategies for sustainable rice cultivation in smallholder agroecosystems.

水稻种植中有效的水资源管理对北方邦东部等缺水地区的可持续性至关重要。通过一项为期三年（2022-2025）的田间研究，对干湿交替灌溉（AWD）、水稻强化系统（SRI）和直接播种稻（DSR）三种灌溉方式与传统连续灌溉（CNV）相比的性能进行了评价。本研究旨在提高水分利用效率（WUE）和粮食产量。AWD调度由15厘米深的穿孔PVC管引导，只有在悬空水位退去后才开始灌溉。SRI和DSR遵循饱和土壤条件，在地表水分枯竭时进行浅灌溉。结果表明，与CNV相比，AWD可显著减少总需水量40 - 45%，提高产量28 - 40%。SRI也表现出色，节水高达51.5%，产量增加30 - 38%。DSR比CNV产量高20 - 31%，但由于植株密度相关的限制，在生理和产量性状上略落后于AWD和SRI。AWD表现出优异的水分生产力，作物水分利用效率最高（CWUE: 14.47 ~ 15.45 kg/ha/mm），田间水分利用效率最高（FWUE: 5.43 ~ 6.63 kg/ha/mm）。该研究得出结论，AWD和SRI提供了可扩展的、适应气候变化的CNV替代方案，AWD具有持续的产量优势和灌溉用水节约。这些发现为推荐小农农业生态系统中可持续水稻种植的节水灌溉策略提供了强有力的证据。

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引用次数: 0

Assimilation of Doppler weather radar data into WRF model using 3DVAR and 4DVAR assimilation methods for enhanced weather forecasting in the eastern Himalayas 利用3DVAR和4DVAR同化方法将多普勒天气雷达资料同化到WRF模式中，以增强喜马拉雅东部的天气预报

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI: 10.1016/j.pce.2026.104292

Peeyush Gupta , M. Sudhanshu Shekhar , Gyan Prakash Singh , Dev Sen Gupta , Amit Kumar , Rupesh Kumar , Dharmendra Singh Tomar

Severe weather in hilly regions like the Eastern Himalayas poses significant risks to life and natural resources due to complex and varied topography within small geographic areas. This study explores the integration of Dual-Polarization Weather Radar (DWR) data into the Weather Research and Forecasting (WRF) model to evaluate the performance of two data assimilation techniques (3DVar and 4DVar) in predicting heavy rainfall events. Reflectivity and radial velocity measurements from an X-Band DWR were assimilated to quantitatively assess their impact on precipitation forecasts. Simulations were conducted for two heavy rainfall events in August 2023 at spatial resolutions of 9-km and 3-km, each over three days. Forecast accuracy was measured using Root Mean Square Error (RMSE) and RSR, where lower values indicate better performance. Results show that decreasing grid spacing from 9-km to 3-km improves prediction accuracy. RMSE for RH at 9 km_CTRL is 8.09 % and for 3 km_CTRL is 7.10 %. Similarly, for T2 at 9 km_CTRL, RMSE is 3.38^oC, and for 3 km_CTRL is 2.71^oC. RMSE for precipitation at 9 km_CTRL is 20.80 mm and for 3 km_CTRL is 12.78 mm. The lowest RMSE is observed for the 4DVar experiment for all three variables, where RMSE is 8.50 %, 2.54^oC, and 2.66 mm for RH, T2 and precipitation. RSR value is lowest for the 3 km_4DVar experiment as compared to other experiments for all the variables. These findings highlight that integrating radar data via 4DVar assimilation markedly improves heavy rainfall forecasting, especially at higher resolutions. This approach holds strong potential to support disaster management and mitigation efforts in the vulnerable Himalayan region.

在像东喜马拉雅这样的丘陵地区，由于小地理区域内复杂多变的地形，恶劣天气对生命和自然资源构成了重大风险。本研究探讨了将双极化天气雷达（DWR）数据整合到天气研究与预报（WRF）模型中，以评估两种数据同化技术（3DVar和4DVar）在预测强降雨事件中的性能。同化了x波段DWR的反射率和径向速度测量值，定量评估了它们对降水预报的影响。对2023年8月的两次强降雨事件进行了3天的9 km和3 km空间分辨率的模拟。使用均方根误差（RMSE）和RSR来衡量预测精度，其中值越低表示性能越好。结果表明，将网格间距从9 km减小到3 km，提高了预测精度。RH在9公里ctrl下的RMSE为8.09%，在3公里ctrl下的RMSE为7.10%。同样，T2在9 km_CTRL时，RMSE为3.38oC，而在3 km_CTRL时，RMSE为2.71oC。9 km_CTRL的RMSE为20.80 mm， 3 km_CTRL的RMSE为12.78 mm。对于所有三个变量，在4DVar实验中观察到最低的RMSE，其中RH， T2和降水的RMSE为8.50%，2.54oC和2.66 mm。所有变量的RSR值在3km_4dvar试验中最低。这些发现表明，通过4DVar同化整合雷达数据可以显著改善强降雨预报，特别是在高分辨率下。这种方法具有支持脆弱的喜马拉雅地区灾害管理和减灾工作的巨大潜力。

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引用次数: 0

GIS-based hybrid MCDM technique for optimal landfill site selection: Advancing sustainable environmental planning in the sacred landscape of Tarapith-Rampurhat, India 基于gis的混合MCDM技术优化垃圾填埋场选址：在印度塔拉皮斯-兰普尔哈特的神圣景观中推进可持续环境规划

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2026-01-11 DOI: 10.1016/j.pce.2026.104282

Sharmistha Mondal, Bhaskar Mandal

The management of solid waste, previously a serious problem for major metropolitan areas, has now become a worry for tourism-dependent regions such as Tarapith-Rampurhat, owing to the vast number of inbound pilgrims and visitors. Thus, determining suitable locations for landfills in this area is of paramount importance, which none of the prior studies have addressed. Hence, the present study seeks to address this gap by fulfilling the objective of identifying and ranking optimal locations for landfill development utilizing GIS-based MCDM techniques. The significance of this study lies in its first application of a hybrid MCDM technique, specifically FAHP-Multimoora-Improved Borda, which has not been used in previous research. The findings of the landfill site suitability map, created using AHP and FAHP techniques, revealed that 89.72 km² (54.89 %) and 101.63 km² (62.18 %) of land were unsuitable for landfill development. Contrarily, 38.27 km² (23.41 %) and 37.17 km² (22.75 %) of land based on AHP and FAHP techniques, respectively, were determined to be acceptable for landfill development. Five candidate sites were identified through field visits and Google Earth images, with Sites 5 and 4 being the highest preferred ideal locations for future landfill sites. The validation of the site suitability map revealed an AUC value of 0.925 for FAHP, compared to AHP's AUC value of 0.866, suggesting a superior performance of the FAHP technique. The study's findings will aid local authorities and town planners in developing environmentally friendly and socially acceptable site selection strategies to advance local governance and promote healthier communities.

固体废物的管理以前是主要大都市地区的一个严重问题，现在已成为塔拉皮斯-兰普尔哈特等依赖旅游业的地区的一个担忧，因为有大量的入境朝圣者和游客。因此，在这个地区确定合适的堆填地点是至关重要的，而之前的研究都没有涉及到这一点。因此，本研究试图通过实现利用基于gis的MCDM技术确定和排名垃圾填埋场发展的最佳地点的目标来解决这一差距。本研究的意义在于首次应用了一种混合MCDM技术，即FAHP-Multimoora-Improved Borda，这种技术在以往的研究中从未使用过。利用层次分析法和层次分析法绘制的垃圾填埋场适宜性图显示，有89.72 km2（54.89%）和101.63 km2（62.18%）的土地不适宜开发垃圾填埋场。相反，AHP和FAHP分别确定38.27 km2（23.41%）和37.17 km2（22.75%）的土地可用于垃圾填埋。通过实地考察和谷歌地球图像确定了五个候选地点，其中5号和4号是未来垃圾填埋场最理想的地点。结果表明，FAHP的AUC值为0.925，AHP的AUC值为0.866，表明FAHP技术具有较好的应用价值。这项研究的结果将有助于地方当局和城市规划者制定环境友好和社会可接受的选址战略，以促进地方治理和促进更健康的社区。

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引用次数: 0

Study on the characteristics of rainfall variation in the Huaihe River Basin based on multi-method analysis 基于多方法分析的淮河流域降水变化特征研究

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2025-11-26 DOI: 10.1016/j.pce.2025.104213

Pengxin Cao , Chengcheng Xu , Chuiyu Lu , Kaixuan Guo , Ao Sun , Xinang Li

Against the backdrop of intensifying global climate change, extreme weather events have become increasingly frequent, posing significant challenges to watershed water resource management and ecological security due to altered precipitation patterns. To comprehensively reveal the spatiotemporal evolution of precipitation in the Huaihe River Basin, this study integrates multiple analytical methods, including the Mann-Kendall trend test, wavelet transform, and multifractal detrended fluctuation analysis (MFDFA), to systematically analyze monthly precipitation data from 16 representative meteorological stations across the basin during the period 1923–2023. The results indicate a general upward trend in precipitation, with particularly notable increases observed in the upstream regions. Spatially, precipitation intensity exhibits a gradient increase from the northwest to the southeast. Wavelet analysis identifies significant periodic fluctuations at both 2–12 years (interannual to decadal) and 20–40 years (multi-decadal) time scales. The Mann-Kendall test detects multiple abrupt change points, predominantly after the year 2000, indicating regime shifts in precipitation dynamics. The MFDFA and its improved variant, wavelet-based MFDFA (W-MFDFA), reveal widespread multifractal characteristics in the precipitation series, with pronounced nonlinear behaviors observed at specific stations such as Fuyang and Zhoukou. These findings enhance the understanding of regional climate variability mechanisms and provide theoretical support and decision-making references for optimized water resource allocation and flood risk management.

在全球气候变化加剧的背景下，极端天气事件日益频繁，由于降水模式的改变，给流域水资源管理和生态安全带来了重大挑战。为了全面揭示淮河流域降水的时空演变特征，本研究采用Mann-Kendall趋势检验、小波变换、多重分形去趋势波动分析（MFDFA）等多种分析方法，对淮河流域16个代表性气象站1923-2023年逐月降水资料进行了系统分析。结果表明，降水总体呈上升趋势，其中上游地区的增加尤为显著。从空间上看，降水强度从西北向东南呈梯度增加。小波分析发现在2-12年（年际至年代际）和20-40年（多年代际）时间尺度上存在显著的周期波动。Mann-Kendall检验检测到多个突变点，主要是在2000年之后，表明降水动力学的状态变化。MFDFA及其改进的基于小波的MFDFA （W-MFDFA）在降水序列中表现出广泛的多重分形特征，在阜阳和周口等特定站点表现出明显的非线性特征。研究结果有助于进一步认识区域气候变率机制，为水资源优化配置和洪水风险管理提供理论支持和决策参考。

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引用次数: 0

Vertical distribution of different phase particles in summer topographic clouds over Liupan Mountain 六盘山夏季地形云中不同相粒子的垂直分布

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.pce.2025.104212

Tong Lin , Zhiliang Shu , Peiyun Deng , Lei Tian , Yanqiao Sun , Le Jia , Ning Cao , Hanbing Bai

This study uses observation data from Ka-band millimeter-wave cloud radar (reflectivity factor, Doppler radial velocity, spectral width) and temperature profiles detected by microwave radiometers, and adopts a fuzzy logic algorithm to identify and retrieve cloud particle phases in orographic clouds over the Liupan Mountains. The results show that the cloud particle phases in the Liupan Mountains present a vertical distribution of “liquid in the lower layer, mixed phase in the middle layer, and ice crystals in the upper layer”, which is the result of the combined effects of orographic lifting, stratification structure, and local ascending airflows. Moreover, the cloud radar observation data exhibit obvious characteristics of changes with cloud particle phase states, which can serve as a basis for phase identification. Changing the feature threshold has a significant impact on the retrieval results. This study adjusts the threshold locally in combination with regional terrain and climatic characteristics, making the identification results more reasonable, consistent with the actual situation, and improving the applicability of the data. It is of great significance and application value for local weather modification operations.

本研究利用ka波段毫米波云雷达的观测数据（反射率因子、多普勒径向速度、谱宽）和微波辐射计测得的温度剖面，采用模糊逻辑算法对六盘山地形云中云粒子相进行识别和检索。结果表明：六盘山云粒相垂直分布呈现“下层液体、中层混合、上层冰晶”的格局，是地形抬升、分层结构和局地上升气流共同作用的结果；此外，云雷达观测数据具有明显的随云粒子相态变化的特征，可作为相位识别的依据。改变特征阈值对检索结果有很大影响。本研究结合区域地形和气候特征局部调整阈值，使识别结果更加合理，符合实际情况，提高了数据的适用性。对局部人工影响天气作业具有重要意义和应用价值。

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引用次数: 0

Global research dynamics in organic farming: Emerging trends and scientometric insights 有机农业的全球研究动态：新兴趋势和科学计量学见解

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2025-12-02 DOI: 10.1016/j.pce.2025.104223

M. Ramesh Naik , R. Ravi Teja , A.V. Ramanjaneyulu , D. Damodar Reddy , K.A. Gopinath , V. Ramasubramanian , M.A. Sarath Chandran , Sonaka Ghosh , K. Viswanatha Reddy , Venkatesh Paramesha , Rupesh Kumar , Amit Kumar

Amid growing global concerns over environmental degradation, food security, and climate change, organic farming has emerged as a key pillar of sustainable agriculture. This scientometric analysis of global research from 2003 to 2023 examined trends across 11,561 publications, revealed an annual growth rate of 8.8 % and an average of 24.27 citations per document, emphasizing the growing significance of organic farming in both academic and practical spheres. Scientific collaborations across 33,576 authors, with an average of 4.4 co-authors per paper, underscore the interdisciplinary and international scope of organic farming research. The USA, Germany, and Italy played a major role in advancing the field of organic farming through publications in high-impact journals, facilitating the rapid and effective communication of research findings. The Scientometric analysis further revealed that the key research areas of organic farming include soil fertility, biological pest control, climate-resilient practices, and socioeconomic aspects. Emerging interest in precision agriculture and digital tools suggests a shift towards technologically enhanced organic farming. However, the concerns relating to the scalability and economic viability of organic farming practices, particularly for smallholders, remain critical challenges. This analysis offers strategic insights to inform future research directions, policy development, and sustainable agricultural transformation.

在全球对环境恶化、粮食安全和气候变化的担忧日益加剧的情况下，有机农业已成为可持续农业的关键支柱。这项对2003年至2023年全球研究的科学计量学分析研究了11561份出版物的趋势，发现年增长率为8.8%，平均每篇论文被引用24.27次，强调了有机农业在学术和实践领域日益增长的重要性。33,576位作者的科学合作，平均每篇论文有4.4位共同作者，强调了有机农业研究的跨学科和国际范围。美国、德国和意大利通过在高影响力期刊上发表文章，促进了研究成果的快速有效交流，在推动有机农业领域的发展方面发挥了重要作用。科学计量分析进一步揭示了有机农业的关键研究领域包括土壤肥力、生物害虫防治、气候适应性实践和社会经济方面。人们对精准农业和数字工具的兴趣日益浓厚，这表明人们正在向技术增强的有机农业转变。然而，与有机农业实践的可扩展性和经济可行性有关的问题，特别是对小农来说，仍然是严峻的挑战。该分析为未来的研究方向、政策制定和可持续农业转型提供了战略见解。

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引用次数: 0

From geological waste to sustainable infrastructure: Multi-Criteria analysis of granite powder in fiber-reinforced cementitious composites 从地质废物到可持续基础设施：纤维增强胶凝复合材料中花岗岩粉末的多标准分析

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.pce.2025.104224

Duygu Demirtürk , Adem Ahıskalı , Oğuzhan Yavuz Bayraktar , Mehtiali Ahıskalı , Halil Oğuzhan Kara , Gökhan Kaplan

This study comprehensively examines the impact of waste granite (WG) and polypropylene (PP) fiber additives on cement-based composites, aiming to reduce natural resource consumption in the construction sector and utilize industrial waste. WG was used as a substitute for fine aggregate at 0–100 % and was evaluated in conjunction with a fixed-rate PP fiber additive (3 % by volume). Mechanical tests revealed that the WG100 mixture performed best, with a 38 % increase in compressive strength and a 49 % reduction in porosity. The best flexural toughness was obtained with the WG25 mixture (7.53 J). In tests conducted at temperatures above 800 °C, the WG additive was observed to significantly enhance thermal stability and improve crack control in PP fibers. In the sustainability analysis, the WG100 mixture significantly reduced environmental impacts, with 36.6 % lower carbon emissions and 32.4 % lower energy consumption per unit of concrete compared to the reference mixture. According to the multi-criteria sustainability analysis, WG100 was the best blend, scoring 81.4 points. These data demonstrate the potential to transform granite waste into high-performance, low-impact construction materials. The results obtained offer an innovative concrete design that enhances technical strength while reducing the carbon footprint, supporting resource efficiency, and contributing to the circular economy. In this respect, the study proposes a holistic and practical approach to sustainable construction technologies.

本研究全面考察了废花岗岩（WG）和聚丙烯（PP）纤维添加剂对水泥基复合材料的影响，旨在减少建筑行业的自然资源消耗和利用工业废物。WG被用作0 - 100%细骨料的替代品，并与固定率PP纤维添加剂（体积比为3%）一起进行了评价。力学测试表明，WG100混合物表现最好，抗压强度提高38%，孔隙率降低49%。WG25的抗弯韧性最佳，为7.53 J。在800°C以上的温度下进行的测试中，观察到WG添加剂显著提高了PP纤维的热稳定性并改善了裂纹控制。在可持续性分析中，WG100混合料显著降低了对环境的影响，与参考混合料相比，单位混凝土的碳排放量降低了36.6%，能耗降低了32.4%。根据多标准可持续性分析，WG100是最佳混合，得分为81.4分。这些数据证明了将花岗岩废物转化为高性能、低影响建筑材料的潜力。获得的结果提供了一个创新的混凝土设计，提高了技术实力，同时减少了碳足迹，支持资源效率，并为循环经济做出了贡献。在这方面，本研究提出了一种全面实用的可持续建筑技术方法。

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引用次数: 0

Numerical simulation and analysis of groundwater response to ecological water recharge in an alluvial fan system 冲积扇系统地下水生态补水响应的数值模拟与分析

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2025-11-29 DOI: 10.1016/j.pce.2025.104208

Binjie Li , Qichen Hao , Fei Chen , Ke Chen , Jia Li , Wenlong Shi , Ruoqi Ma , Yong Xiao , Weizhe Cui

The impact of human activities on groundwater aquifer systems is crucial for the sustainable use of water resources, especially in regions where groundwater supply accounts for a large proportion. Although various restoration measures have been implemented in such regions, the contribution rates of different measures remain unclear. This paper focuses on the ecological water replenishment (EWR) project initiated in 2018 in the water-scarce North China region. We selected a typical alluvial fan area, performed 3D-grid discretization using the groundwater numerical simulation software GMS, and established a refined monthly-scale groundwater numerical model. Calibrated with groundwater level data from 81 monitoring wells, the model quantitatively analyzes the synergistic effects of the restoration measures, Key findings include: (1) Under the combined effects of multiple factors, the average groundwater level in the study area rose by 0.77 m over five years, with the farthest influence distance of EWR reaching 17.39 km; (2) The restoration effect of EWR on the alluvial fan shows significant spatial differentiation, the groundwater level in the upstream area can rise by more than 30 m, while the impact in the downstream area is negligible, which is mainly controlled by the stratum structure; (3) EWR can drive the restoration of deep aquifers, achieving cross-layer hydraulic response. This study provides a scientific paradigm for the restoration of alluvial fan aquifer systems by analyzing the multi-dimensional coupling mechanism of recharge, extraction reduction, and natural conditions.

人类活动对地下水含水层系统的影响对水资源的可持续利用至关重要，特别是在地下水供应占很大比例的地区。虽然在这些地区实施了各种恢复措施，但不同措施的贡献率尚不清楚。本文以水资源匮乏的华北地区2018年启动的生态补水（EWR）项目为研究对象。选取典型的冲积扇区域，利用地下水数值模拟软件GMS进行三维网格离散化，建立了精细的月尺度地下水数值模型。利用81口监测井的地下水位数据，定量分析了修复措施的协同效应，主要发现：(1)在多因素综合作用下，研究区5年平均地下水位上升0.77 m， EWR影响距离最远达17.39 km；(2) EWR对冲积扇的恢复效果表现出明显的空间分异，上游地区的地下水位可上升30 m以上，而下游地区的影响可以忽略不计，主要受地层结构控制；(3) EWR可以驱动深层含水层的恢复，实现跨层水力响应。本研究通过对补给、提取减少与自然条件多维耦合机制的分析，为冲积扇含水层系统的恢复提供了科学范式。

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引用次数: 0

Status analysis of rock landslides in reservoir areas based on displacement monitoring and stability evaluation 基于位移监测与稳定性评价的库区岩质滑坡现状分析

IF 4.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Physics and Chemistry of the Earth

Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI: 10.1016/j.pce.2026.104273

Xiaolin Li , Xinyi Chen

At present, the method of rock mass landslide state analysis in reservoir area has uncertainty in parameter acquisition and model input, and the ability to capture step-type displacement mutation is limited. Therefore, a predictive model for the status of rock landslides in reservoir areas based on displacement monitoring and stability analysis is put forward. Particle Swarm Optimization combined with Support Vector Regression is applied to optimize displacement monitoring, aiming to improve the forecasting and early warning capabilities for landslide disasters. Experimental results show that the proposed model performs well in predicting different types of landslide deformation curves, especially achieving an accuracy of 95.12 % for smooth-type landslide deformations. In contrast, comparison models perform worse. The predictive model based on Cyclic Generative Adversarial Network achieves the lowest monitoring rate of 7.15 frames per second for step-type landslide deformations, while the predictive model based on Genetic Algorithm combined with Support Vector Regression reaches only a 78.54 % recall rate for smooth-type deformations. As the number of iterations increases, the proposed model maintains a prediction accuracy of over 90 %. Meanwhile, the overall prediction accuracy of the other three comparison models remains below 85 %. Overall, the proposed predictive model demonstrates strong mechanical mechanism characterization ability. It accurately predicts the status of rock landslides in reservoir areas and provides a novel monitoring method for concealed rock landslides.

目前，库区岩体滑坡状态分析方法在参数获取和模型输入方面存在不确定性，且捕捉阶跃型位移突变的能力有限。为此，提出了一种基于位移监测和稳定性分析的库区岩质滑坡状态预测模型。将粒子群算法与支持向量回归相结合，对位移监测进行优化，提高滑坡灾害的预测预警能力。实验结果表明，该模型能较好地预测不同类型的滑坡变形曲线，特别是对光滑型滑坡变形的预测精度达到95.12%。相比之下，比较模型的表现更差。基于循环生成对抗网络的预测模型对阶梯型滑坡变形的监测率最低，为7.15帧/秒，而基于遗传算法结合支持向量回归的预测模型对光滑型滑坡变形的召回率仅为78.54%。随着迭代次数的增加，所提模型的预测精度保持在90%以上。同时，其他三种比较模型的总体预测精度仍在85%以下。总体而言，所提出的预测模型具有较强的力学机理表征能力。该方法准确预测了库区岩质滑坡的状态，为隐伏岩质滑坡监测提供了一种新的方法。

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