Article
Geosciences, Multidisciplinary
Syed Tauseef Hassan, Ping Wang, Irfan Khan, Bangzhu Zhu
Summary: The circular economy creates a resilient system that addresses global challenges such as climate change and waste by decoupling economic activity from finite resource consumption. Nuclear energy and improved technologies are crucial for reducing environmental concerns and aligning with circular economy principles.
Article
Environmental Sciences
Leiyao Liao, Lan Du, Yuchen Guo
Summary: In the field of remote sensing image processing, a method called FDDA is proposed to improve semi-supervised SAR target detection by utilizing a decoding module and a domain-adaptation module. Experimental results show promising performance in SAR target detection with limited labeled SAR images using this approach.
Article
Engineering, Geological
Yi Xue, Jia Liu, P. G. Ranjith, Feng Gao, Heping Xie, Jun Wang
Summary: This study investigates the effects of pulsating nitrogen fatigue fracturing on low-permeability coal seams. The results show that fatigue fracturing improves coal permeability and enhances gas production by facilitating the seepage of gas and developing micropores. The study also reveals changes in coal microstructure and mechanical properties under fatigue fracturing tests.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
E. Astafyeva, B. Maletckii, T. D. Mikesell, E. Munaibari, M. Ravanelli, P. Coisson, F. Manta, L. Rolland
Summary: In this study, data from ground-based receivers of the Global Navigation Satellite System are analyzed to explore the ionospheric response to the eruption of the Hunga Tonga-Hunga Ha'apai submarine volcano. The ionospheric response is shown to consist of a significant increase in total electron content (TEC) followed by a strong and long-lasting depletion. The energy released during the main explosion is estimated based on the ionospheric TEC data.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Review
Geosciences, Multidisciplinary
Bei Liu, Maria Mastalerz, Juergen Schieber
Summary: This article reviews the petrographic characteristics of dispersed organic matter (DOM) in black shales under the scanning electron microscope (SEM). The correlative microscopy technique combining reflected-light and electron microscopy is found to be the most effective method for identifying both the types and hosted pores of organic matter. Factors controlling the formation and preservation of organic matter-hosted pores are also discussed. The findings suggest that the specific surface area and pore volume of organic matter in black shales follow parabolic patterns with increasing thermal maturity.
EARTH-SCIENCE REVIEWS
(2022)
Article
Geosciences, Multidisciplinary
Dongfeng Li, Xixi Lu, Desmond E. Walling, Ting Zhang, Jakob F. Steiner, Robert J. Wasson, Stephan Harrison, Santosh Nepal, Yong Nie, Walter W. Immerzeel, Dan H. Shugar, Michele Koppes, Stuart Lane, Zhenzhong Zeng, Xiaofei Sun, Alexandr Yegorov, Tobias Bolch
Summary: Climate change is worsening geohazards in High Mountain Asia, posing an increasing risk to hydropower and water infrastructure in the region. Melting and thawing of the cryosphere are altering water supply, affecting downstream food and energy systems. Building reservoirs to regulate water flow and generate hydropower is crucial, but vulnerable to various destabilizing processes.
Article
Geosciences, Multidisciplinary
Muhammad Usman, Daniel Balsalobre-Lorente, Atif Jahanger, Paiman Ahmad
Summary: This study investigates the influence of technological innovations, economic growth, renewable energy, natural resources, and human capital on greenhouse gas emissions in Mercosur countries from 1990 to 2018. The findings suggest that economic growth and natural resources significantly increase greenhouse gas emissions, while technological innovations, renewable energy, and human capital help to curtail them. It is recommended that Mercosur countries increase their technological innovation activities and human capital to promote sustainable development and lifestyle quality.
Article
Geosciences, Multidisciplinary
Zhijie Zhu, Yunlong Wu, Jun Han
Summary: This study analyzes the factors affecting coal burst occurrence from the perspectives of geologic and mining conditions and proposes an evaluation index system for coal burst risk. It establishes a hierarchical model and calculates the weight of each influencing factor to predict coal bursts. Through the fuzzy comprehensive evaluation method, a coal burst prediction model is developed, which effectively simplifies and addresses the complex problem of coal burst prediction and prevention.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Engineering, Geological
Omid Ghorbanzadeh, Hejar Shahabi, Alessandro Crivellari, Saeid Homayouni, Thomas Blaschke, Pedram Ghamisi
Summary: This study proposes a new framework for landslide detection by combining deep learning models with rule-based image analysis methods. Experimental results show that the proposed framework outperforms both standalone deep learning and rule-based methods in landslide detection, as compared to a manual landslide inventory map.
Editorial Material
Geosciences, Multidisciplinary
Asmeret Asefaw Berhe, Rebecca T. Barnes, Meredith G. Hastings, Allison Mattheis, Blair Schneider, Billy M. Williams, Erika Marin-Spiotta
Article
Geosciences, Multidisciplinary
Dongxue Zhao, Jie Wang, Xueyu Zhao, John Triantafilis
Summary: This study compared the importance of proximally and remotely sensed data for predicting clay at district scale, using different models and averaging techniques. The results showed that gamma-ray data was crucial for topsoil clay prediction, while slope was important for subsoil. Random forest model was found to be the best for predicting topsoil clay, with Granger-Ramanathan averaging recommended as a protocol for district-scale clay prediction.
Article
Geosciences, Multidisciplinary
Fu Chen, Shoaib Ahmad, Salman Arshad, Shafaqat Ali, Muhammad Rizwan, Muhammad Hamzah Saleem, Oana M. Driha, Daniel Balsalobre-Lorente
Summary: This study examines the influence of green technology and natural resource rents on eco-efficiency using panel data from the top 10 polluted nations. The results show that green technology, natural resource rents, the squared term of economic complexity, and the interaction term of green technology with financial development positively affect eco-efficiency. However, financial development has a negative impact on eco-efficiency. The study suggests that governments should focus on improving environmental quality and shifting investment programs towards green strategies.
Article
Geosciences, Multidisciplinary
Wei Nie, Chao Yan, Dan Dan Huang, Zhe Wang, Yuliang Liu, Xiaohui Qiao, Yishuo Guo, Linhui Tian, Penggang Zheng, Zhengning Xu, Yuanyuan Li, Zheng Xu, Ximeng Qi, Peng Sun, Jiaping Wang, Feixue Zheng, Xiaoxiao Li, Rujing Yin, Kaspar R. Dallenbach, Federico Bianchi, Tuukka Petaja, Yanjun Zhang, Mingyi Wang, Meredith Schervish, Sainan Wang, Liping Qiao, Qian Wang, Min Zhou, Hongli Wang, Chuan Yu, Dawen Yao, Hai Guo, Penglin Ye, Shuncheng Lee, Yong Jie Li, Yongchun Liu, Xuguang Chi, Veli-Matti Kerminen, Mikael Ehn, Neil M. Donahue, Tao Wang, Cheng Huang, Markku Kulmala, Douglas Worsnop, Jingkun Jiang, Aijun Ding
Summary: The formation of secondary organic aerosol in Chinese megacities is primarily driven by the condensation of anthropogenic organic vapours, specifically low-volatility organic vapours. The irreversible condensation of these anthropogenic oxygenated organic molecules significantly contributes to the production of secondary organic aerosols. Coordinated measurements across different urbanized regions in China indicate that the distribution and formation pathways of oxygenated organic molecules are similar, suggesting that uniform mitigation strategies could be effective in addressing air pollution issues in these highly populated city clusters.
Article
Geosciences, Multidisciplinary
Faming Huang, Jun Yan, Xuanmei Fan, Chi Yao, Jinsong Huang, Wei Chen, Haoyuan Hong
Summary: In landslide susceptibility mapping (LSM), the expression of landslide boundaries and spatial shapes as points or circles instead of accurate polygons can lead to differences in the predicted landslide susceptibility indexes (LSIs) and introduce uncertainties into the LSM. This study compared the uncertainties of LSM modeling using different representations of landslide boundaries and spatial shapes, and found that using polygonal surfaces to represent the landslide boundaries can significantly improve the accuracy of LSM compared to using points and circles. The results also showed that polygon-based models have higher LSM accuracy compared to point- and circle-based models, and the overall accuracy of the random forest (RF) model is superior to that of the support vector machine (SVM) model.
GEOSCIENCE FRONTIERS
(2022)
Review
Environmental Sciences
Yanfen Wang, Wangwang Lv, Kai Xue, Shiping Wang, Lirong Zhang, Ronghai Hu, Hong Zeng, Xingliang Xu, Yaoming Li, Lili Jiang, Yanbin Hao, Jianqing Du, Jianping Sun, Tsechoe Dorji, Shilong Piao, Changhui Wang, Caiyun Luo, Zhenhua Zhang, Xiaofeng Chang, Mingming Zhang, Yigang Hu, Tonghua Wu, Jinzhi Wang, Bowen Li, Peipei Liu, Yang Zhou, A. Wang, Shikui Dong, Xianzhou Zhang, Qingzhu Gao, Huakun Zhou, Miaogen Shen, Andreas Wilkes, Georg Miehe, Xinquan Zhao, Haishan Niu
Summary: This review examines the impacts of climate change and human activities on grasslands in the Qinghai-Tibetan Plateau. It discusses the changes in vegetation and soil, as well as the drivers behind these changes. The study finds that rising temperatures have been key in driving vegetation increases, while intense livestock grazing has caused grassland degradation. Effective restoration can be achieved through management policies and adaptive management, leading to improvements in net primary production.
NATURE REVIEWS EARTH & ENVIRONMENT
(2022)
Review
Environmental Sciences
Stephen J. Livingstone, Yan Li, Anja Rutishauser, Rebecca J. Sanderson, Kate Winter, Jill A. Mikucki, Helgi Bjornsson, Jade S. Bowling, Winnie Chu, Christine F. Dow, Helen A. Fricker, Malcolm McMillan, Felix S. L. Ng, Neil Ross, Martin J. Siegert, Matthew Siegfried, Andrew J. Sole
Summary: This review provides the first global inventory of subglacial lakes, outlining their settings, impacts, and potential changes with climate warming. Subglacial lakes have repositories of ancient climate conditions, provide habitats for life, and influence ice flow, basal hydrology, biogeochemical fluxes, and geomorphic activity. The behavior of these lakes is influenced by their subglacial setting and the mass balance regime of the overlying ice mass. Climate warming is predicted to reduce the number and size of subglacial lakes in regions with steeper ice surfaces, but increase activity with higher discharge drainages of shorter duration.
NATURE REVIEWS EARTH & ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Shilong Piao, Chao Yue, Jinzhi Ding, Zhengtang Guo
Summary: The Chinese government has set a goal to achieve 'carbon neutrality' by 2060, with the terrestrial ecosystem carbon sink currently offsetting a significant portion of national emissions. This study provides perspectives on the role of terrestrial ecosystems in the 'carbon neutrality' strategy. The researchers argue that the observed carbon sink is a result of ecosystem responses to environmental changes rather than an intrinsic ecosystem function. They also discuss the long-term effects of CO2 changes and afforestation on China's carbon sink and propose optimizing the terrestrial carbon sink pathway to maximize its contribution to the 'carbon neutrality' strategy.
SCIENCE CHINA-EARTH SCIENCES
(2022)
Review
Geosciences, Multidisciplinary
Peijuan Wang, Bulent Bayram, Elif Sertel
Summary: This research aims to comprehensively evaluate DL-based SISR methods on optical remote sensing images. The study first introduces DL techniques used in SISR and then thoroughly summarizes RSISR algorithms, including DL models, commonly used remote sensing datasets, loss functions, and performance evaluation metrics. The research also provides a new multi-sensor dataset and evaluates the performance of state-of-the-art super-resolution methods on this dataset.
EARTH-SCIENCE REVIEWS
(2022)
Review
Environmental Sciences
Huiwei Jiang, Min Peng, Yuanjun Zhong, Haofeng Xie, Zemin Hao, Jingming Lin, Xiaoli Ma, Xiangyun Hu
Summary: This paper provides a review of the latest progress and challenges in deep learning-based change detection algorithms using high-resolution remote sensing images, and suggests promising directions for future research.
Article
Geosciences, Multidisciplinary
Hu Li, Jiling Zhou, Xingyu Mou, Hongxi Guo, Xiaoxing Wang, Hongyi An, Qianwen Mo, Hongyu Long, Chenxi Dang, Jianfa Wu, Shengxian Zhao, Shilin Wang, Tianbiao Zhao, Shun He
Summary: This study quantitatively characterizes the pore structure of shale in the Longmaxi Formation in the Changning area of the Southern Sichuan Basin. The research reveals that the pores in the shale mainly consist of organic pores, intergranular pores, dissolution pores, and microfractures. The pore structure exhibits self-similarity and conforms to the fractal law, with double fractal characteristics. The mineral components and organic matter have a significant influence on the fractal dimension of the shale. The results provide guidance for the characterization of the pore structure in tight rocks.
FRONTIERS IN EARTH SCIENCE
(2022)
