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Features of anticyclonic tornadoes in a complex orography based on numerical simulations 基于数值模拟的复杂地形中反气旋龙卷风的特征

IF 5.5 2区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmospheric Research

Pub Date : 2026-02-19 DOI: 10.1016/j.atmosres.2026.108876

Daniela Monterde, José Francisco León-Cruz, Noel Carbajal, Luis Felipe Pineda-Martínez

引用次数: 0

Regionalization of Hydrologic Behavior and Pothole Water Storage Dynamics in the Prairie Pothole Region 草原坑穴区水文行为区划与坑穴蓄水动态

IF 5.4 1区地球科学 Q2 ENVIRONMENTAL SCIENCES

Water Resources Research

Pub Date : 2026-02-19 DOI: 10.1029/2025wr040280

Javad Rahmani, Chaopeng Shen, Ali A. Ameli

In pothole-dominated catchments, such as those in the Prairie Pothole Region (PPR), potholes strongly influence catchment hydrologic behavior through complex and dynamic fill–spill–connection mechanisms. This complexity—combined with the predominance of ungauged catchments and the lack of high-resolution pothole inventories—poses challenges for both traditional hydrologic models and purely data-driven deep learning approaches. To address this, we developed the δHBV-Pot model within a differentiable modeling framework (δ). This physics-informed deep learning model integrates the conceptual HBV model with a probabilistic algorithm that emulates the aggregate effects of pothole fill–spill–connection processes. Applied to 98 PPR catchments, δHBV-Pot achieves stronger predictive accuracy and physical realism than a purely data-driven Long Short-Term Memory (LSTM) model and two conceptual hydrologic models. The PPR-scale regional δHBV-Pot model successfully simulates hydrologic behavior for the majority of pseudo-ungauged (test) catchments withheld during model development, effectively regionalizing (a) high-flow magnitude and interannual variability, (b) intra-annual flashiness of high-flow and normal flow conditions, and (c) interannual variability in pothole water storage dynamics. Moreover, the model identifies vulnerable catchments with large high-flow magnitude and variability—even in the absence of streamflow data—and delineates catchments with varying temporal variability in pothole water storage without requiring detailed pothole inventories. Our findings highlight the value of combining conceptual hydrology with data-driven deep learning models in pothole-dominated regions. This integrated approach enables the regionalization of high-flow and pothole storage characteristics to ungauged catchments, providing critical insights for vulnerability assessment and the design of sustainable water and ecological management strategies in pothole-dominated landscapes.

在以壶穴为主的流域，如草原壶穴区，壶穴通过复杂的动态填溢连接机制强烈影响流域水文行为。这种复杂性，再加上未测量的集水区占主导地位，以及缺乏高分辨率的坑洼清单，对传统水文模型和纯数据驱动的深度学习方法都提出了挑战。为了解决这个问题，我们在可微分建模框架（δ）中开发了δ hbv - pot模型。这种基于物理的深度学习模型将概念HBV模型与模拟坑洞填充-溢出-连接过程的总体效应的概率算法集成在一起。δHBV-Pot应用于98个PPR流域，比纯数据驱动的长短期记忆（LSTM）模型和两个概念水文模型具有更高的预测精度和物理真实感。ppr尺度区域δHBV-Pot模型成功地模拟了模型开发期间保留的大多数伪未测量（试验）集水区的水文行为，有效地区划了(a)高流量大小和年际变化，(b)高流量和正常流量条件的年内短暂性，以及(c)坑储水动态的年际变化。此外，该模型识别出具有大流量大小和可变性的脆弱集水区（即使在没有水流数据的情况下），并在不需要详细的壶洞库存的情况下，描绘出壶洞储水量随时间变化的集水区。我们的研究结果强调了将概念水文学与数据驱动的深度学习模型结合在坑洞为主地区的价值。这种综合方法可以对未测量的集水区进行高流量和坑洼储存特征的区划，为坑洼为主的景观的脆弱性评估和可持续水和生态管理策略的设计提供重要见解。

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引用次数: 0

Multi-scale imaging and analysis of core-sized samples using successive image registration and machine learning for pore scale modeling 使用连续图像配准和机器学习进行孔隙尺度建模的核心大小样本的多尺度成像和分析

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-02-19 DOI: 10.1016/j.jhydrol.2026.135126

Samuel Fagbemi, Oubai Elagab, Ziqiang Qin, Bradley McCaskill, Mohammad Piri

引用次数: 0

Assessing rare earth (yttrium) speciation in natural ores and processed waste streams using X-ray absorption spectroscopy 利用x射线吸收光谱学评估天然矿石和加工废物流中的稀土（钇）形态

IF 3.9 2区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

Chemical Geology

Pub Date : 2026-02-19 DOI: 10.1016/j.chemgeo.2026.123312

Anthony Boxleiter, Yinghao Wen, Martin Yan Hei Li, Joell Ashcraft, Yuanzhi Tang, W. Crawford Elliott

引用次数: 0

Anisotropic stress-induced permeability change in cracked rock during the crack closure stage: A tensorial approach incorporating tortuosity and bottlenecks 裂隙闭合阶段裂隙岩石中各向异性应力诱导的渗透率变化：一种包含扭曲和瓶颈的张拉方法

IF 2.9 3区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Tectonophysics

Pub Date : 2026-02-19 DOI: 10.1016/j.tecto.2026.231127

Takato Takemura, David Healy

引用次数: 0

Bridging the sustainability gap: the impact of business-government relations on corporate carbon monitoring in developing countries. 弥合可持续性差距：发展中国家工商政府关系对企业碳监测的影响。

IF 5.8 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Carbon Balance and Management

Pub Date : 2026-02-19 DOI: 10.1186/s13021-026-00418-4

Karamat Khan, Waseem Ahmad Khan, Yucong Yan, Maryam Khokhar, Mohd Ziaur Rehman, Assad Ullah

Business-government relations (BGR) are widely recognized as an influential factor in firms' strategic decision-making. This study examines the association between BGR and firms' environmental sustainability practices in developing countries. Using firm-level cross sectional data from the World Bank Enterprise Survey, the results indicate that stronger BGR are positively associated with the adoption of carbon monitoring practices. This relationship is more pronounced in firms with female leadership and more experienced top managers, while corruption weakens the positive role of BGR. Further heterogeneity analysis shows that the positive association between BGR and carbon emission monitoring is stronger among large firms, externally audited firms, firms located in capital cities and independently operated firms. This study contributes to the sustainability and governance literature and offers significant policy implications.

企业与政府的关系被广泛认为是影响企业战略决策的重要因素。本研究考察了发展中国家BGR与企业环境可持续性实践之间的关系。利用世界银行企业调查的公司层面横截面数据，结果表明，更强的BGR与采用碳监测实践呈正相关。这种关系在女性领导和经验丰富的高层管理人员的公司中更为明显，而腐败削弱了BGR的积极作用。进一步的异质性分析表明，在大型事务所、外部审计事务所、位于首都城市的事务所和独立经营的事务所中，BGR与碳排放监测之间的正相关关系更强。本研究为可持续性和治理文献做出了贡献，并提供了重要的政策启示。

引用次数: 0

Mapping nationwide 1 Km hourly human mobility (2022–2024) across South Korea using multi-source data 使用多源数据绘制韩国全国每小时1公里的人类流动性（2022-2024）

IF 6.7 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing

Pub Date : 2026-02-19 DOI: 10.1080/15481603.2026.2633052

Siwoo Lee, Yoojin Kang, Taejun Sung, Soomin Hwang, Seyoung Yang, Jungho Im

引用次数: 0

Impacts of different physics schemes on hurricane forecasting in the unified forecast system (UFS) 统一预报系统（UFS）中不同物理方案对飓风预报的影响

IF 5.5 2区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmospheric Research

Pub Date : 2026-02-19 DOI: 10.1016/j.atmosres.2026.108872

Linlin Pan, Kathryn Newman, Mrinal Biswas, Brianne Nelson, Bin Liu, Zhan Zhang, Xuejin Zhang, Shuanglong Jin, Zongpeng Song, Rui Hu, Shuanglei Feng, Bo Wang, Qing Li, Huang Ding

引用次数: 0

Spatiotemporal assessment of aridification in Europe (1950–2024) using bias-corrected high-resolution reanalysis dataset 基于偏差校正的高分辨率再分析数据集的欧洲干旱化时空评估(1950-2024

IF 5.5 2区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmospheric Research

Pub Date : 2026-02-19 DOI: 10.1016/j.atmosres.2026.108874

H.H. Yıldırım, K. Ishida, A. Ercan

引用次数: 0

Tracing black shale weathering using REE and Nd isotopes in riverine Fe oxides: Insights from the Amazon Basin 利用河流铁氧化物中的REE和Nd同位素追踪黑色页岩风化：来自亚马逊盆地的见解

IF 3.9 2区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

Chemical Geology

Pub Date : 2026-02-19 DOI: 10.1016/j.chemgeo.2026.123308

Gabriel R. Moizinho, Germain Bayon, Martin Roddaz, Marina Rabineau, Daniel Aslanian, Anne Trinquier, Marie-Laure Rouget, Roberto V. Santos

引用次数: 0

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