Article
Environmental Sciences
Eri Ishii, Yuta Watanabe, Tetsuro Agusa, Takahiro Hosono, Haruhiko Nakata
Summary: This study analyzed artificial sweeteners in groundwater before and after the earthquakes in Kumamoto, Japan, showing the impact of earthquakes on sewer systems and groundwater pollution. The concentration of artificial sweeteners in groundwater significantly increased 7 months after the earthquakes, but notably decreased 30 months after, indicating the effectiveness of sewer infrastructure restoration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Kei Nakagawa, Jun Shimada, Zhi-Qiang Yu, Kiyoshi Ide, Ronny Berndtsson
Summary: The 2016 Kumamoto earthquake significantly impacted groundwater levels and quality, resulting in changes in nitrate concentration and distribution patterns. The study used clustering-based SOM analysis to classify nitrate concentration changes into seven typical clusters, distributed in high concentration, low concentration with minimal anthropogenic loading, and intermediate concentration regions. The analysis revealed varying trends in nitrate concentration changes before and after the earthquake, indicating complex relationships between earthquake effects, groundwater release, and infiltration processes.
Article
Engineering, Geological
Jikai Sun, Hiroshi Kawase, Kiyoshi Fukutake, Fumiaki Nagashima, Shinichi Matsushima
Summary: This study investigates the building damage caused by liquefaction in downtown Mashiki during the 2016 Kumamoto earthquake. It estimates the impact of liquefaction on strong ground motions and analyzes the distribution of groundwater levels and soil nonlinearities. The results show that neighboring regions experienced serious building damage due to liquefaction.
BULLETIN OF EARTHQUAKE ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Kutubuddin Ansari, Tae-Suk Bae
Summary: This analysis extends previous studies by incorporating epicentral depth as a parameter for seismicity clustering. The technique was applied to SW Japan seismic data, revealing two statistically distinct earthquake populations. The Lomb-Scargle periodogram detected periodic components in log(10)n, with a dominant peak between foreshocks and aftershocks.
INTERNATIONAL JOURNAL OF EARTH SCIENCES
(2021)
Article
Geography, Physical
Daisuke Ishimura, Yoshiya Iwasa, Naoya Takahashi, Ryuji Tadokoro, Ryuhei Oda
Summary: This study accurately dates paleofaulting events on the primary and secondary faults of the Futagawa fault, finding that they occurred simultaneously during the penultimate event. It also discovers a small graben structure formed by cumulative deformation along the Futagawa fault.
Review
Clinical Neurology
Toru Miwa
Summary: This study investigated the vestibular function and causes of dizziness in patients post-earthquakes, revealing that autonomic dysfunction related to earthquakes may contribute to post-earthquake dizziness.
FRONTIERS IN NEUROLOGY
(2021)
Article
Geochemistry & Geophysics
Luc Illien, Christoph Sens-Schoenfelder, Christoff Andermann, Odin Marc, Kristen L. Cook, Lok B. Adhikari, Niels Hovius
Summary: This study successfully simulated and researched the transient hydrological properties after the earthquake in Nepal by analyzing the different driving forces of seismic velocity variations with earthquake damage and hydrological changes.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geosciences, Multidisciplinary
Sonia Devi, Sandeep, Parveen Kumar, Monika, A. Joshi
Summary: This research successfully simulated the seismic characteristics of the 2016 Kumamoto earthquake by modifying the semi-empirical technique and utilizing a source model. The study provides important insights for seismic hazard assessment in the Kumamoto region.
Article
Geosciences, Multidisciplinary
Takahiro Endo, Tomoki Iizuka, Hitomi Koga, Nahoko Hamada
Summary: Securing water supply following an earthquake is crucial, with groundwater serving as an alternative source. Research conducted in Kumamoto after the earthquake revealed that both DEWs and privately owned wells were opened to the public, improving water access, but concerns over water quality and low DEW recognition were highlighted.
HYDROGEOLOGY JOURNAL
(2022)
Article
Clinical Neurology
Yuichiro Inatomi, Makoto Nakajima, Tokunori Ikeda, Toshiro Yonehara, Tadashi Terasaki, Yoichiro Hashimoto, Yanosuke Kouzaki
Summary: The 2016 Kumamoto earthquake may have affected the characteristics of stroke patients in terms of severity and discharge destination, with a decrease in certain types of stroke in the month following the earthquake.
NEUROLOGICAL SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Heejung Kim
Summary: Earthquakes can cause changes in underground water environments, impacting microbial communities. By studying the microbial structures in deep crustal fluids, earthquakes can potentially be predicted and earthquake risk assessment methods developed.
Article
Engineering, Industrial
Li Ding, Hugo K. S. Lam, T. C. E. Cheng, Honggeng Zhou
Summary: The researchers find it difficult to determine how natural disasters such as earthquakes affect firms in other countries, with some uncertainty remaining. Through their experiments, they discovered a negative impact of earthquakes on semiconductor manufacturers in China, with the contagion effect outweighing the competitive effect, especially for companies with supply chain connections to Japanese firms.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Multidisciplinary Sciences
Susu Xu, Joshua Dimasaka, David J. Wald, Hae Young Noh
Summary: The rapid seismic multi-hazard and impact estimation system presented in this study utilizes advanced statistical causal inference and remote sensing techniques to provide accurate and high-resolution estimations of multiple hazards and building damage on a regional scale. The evaluation results demonstrate that incorporating causal dependencies significantly improves the estimation accuracy compared to existing systems. This system establishes a new way to extract and utilize the complex interactions of multiple hazards and impacts for effective disaster responses and advancing understanding of seismic geological processes.
NATURE COMMUNICATIONS
(2022)
Article
Construction & Building Technology
Setareh Ghaychi Afrouz, Alireza Farzampour, Zahra Hejazi, Masoud Mojarab
Summary: The vulnerability of hospitals in Tehran, as critical structures in crisis management, was investigated using fragility curves. It was found that all hospitals in Tehran would experience at least 2% to 10% damage in a strong earthquake with a magnitude of 7 or more, emphasizing the need for proactive management plans, especially in the southern parts of the metropolitan area.
Article
Engineering, Civil
Sebastiano Marasco, Ali Zamani Noori, Marco Domaneschi, Gian Paolo Cimellaro
Summary: This paper introduces a computational framework for assessing the seismic vulnerability and damage of residential building portfolios in urban areas. The proposed approach uses surrogate models and Monte Carlo simulations to account for uncertainties, and is validated through finite element models and a real case study. The main achievement is the introduction of a simplified approach for large scale structural analyses that limits computational efforts while providing reasonable results.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Civil
Takahiro Hosono, Yukako Masaki
JOURNAL OF HYDROLOGY
(2020)
Article
Engineering, Civil
Shigeru Morimura, Xiangyong Zeng, Naoki Noboru, Takahiro Hosono
JOURNAL OF HYDROLOGY
(2020)
Article
Engineering, Civil
Makoto Kagabu, Kiyoshi Ide, Takahiro Hosono, Kei Nakagawa, Jun Shimada
JOURNAL OF HYDROLOGY
(2020)
Article
Engineering, Civil
Kimpei Ichiyanagi, Minato Imatsu, Kiyoshi Ide, Jun Shimada
JOURNAL OF HYDROLOGY
(2020)
Article
Environmental Sciences
Takahiro Hosono, Shahadat Hossain, Jun Shimada
ENVIRONMENTAL EARTH SCIENCES
(2020)
Article
Engineering, Environmental
Sang-Hyun Lee, Jin-Yong Choi, Seung-Oh Hur, Makoto Taniguchi, Naoki Masuhara, Kwang Soo Kim, Shinwoo Hyun, Eunhee Choi, Jae-hoon Sung, Seung-Hwan Yoo
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Geochemistry & Geophysics
Kei Nakagawa, Jun Shimada, Zhi-Qiang Yu, Kiyoshi Ide, Ronny Berndtsson
Summary: The 2016 Kumamoto earthquake significantly impacted groundwater levels and quality, resulting in changes in nitrate concentration and distribution patterns. The study used clustering-based SOM analysis to classify nitrate concentration changes into seven typical clusters, distributed in high concentration, low concentration with minimal anthropogenic loading, and intermediate concentration regions. The analysis revealed varying trends in nitrate concentration changes before and after the earthquake, indicating complex relationships between earthquake effects, groundwater release, and infiltration processes.
Editorial Material
Environmental Sciences
Henrietta Dulai, Isaac R. Santos, Makoto Taniguchi, Ryo Sugimoto, Jun Shoji, Abhijit Mukherjee
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Limnology
Toshimi Nakajima, Ryo Sugimoto, Takahiro Kusunoki, Katsuhide Yokoyama, Makoto Taniguchi
Summary: The study found that oceanic water is the main source of nutrients for coastal ecosystems along the Sanriku Bay, but land-derived nutrients can also accelerate coastal primary production during certain seasons.
LIMNOLOGY AND OCEANOGRAPHY
(2021)
Article
Engineering, Environmental
Sang-Hyun Lee, Makoto Taniguchi, Naoki Masuhara, Rabi H. Mohtar, Seung-Hwan Yoo, Masahiko Haraguchi
Summary: The study examines a sustainable economic growth framework using an I-WEL nexus approach, finding that weighted economic growth in high-efficiency zones can lead to significant water and energy savings while increasing economic inequality among prefectures.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Geosciences, Multidisciplinary
Takahiro Hosono, Chikashige Yamanaka
Summary: The study found that the high Cl- fluid was formed by saline water mixing with aquifer waters of meteoric origin, while the low concentration fluid is similar to regional aquifer water of meteoric origin. These deeply derived components were transported towards the surface through structural weakness and mixed with waters in the surface systems after being diluted.
EARTH PLANETS AND SPACE
(2021)
Review
Chemistry, Inorganic & Nuclear
Chitoshi Mizota, Robin Hansen, Takahiro Hosono, Azusa Okumura
Summary: Sodium nitrate ores from the Atacama Desert in South America were economically important for the fertilizer and explosives industries. Isotope analysis of these desert nitrates indicates they originate from the atmosphere. Examination of stable isotope signatures from different areas of the Atacama Desert provides a more detailed definition of their isotopic compositional ranges.
ISOTOPES IN ENVIRONMENTAL AND HEALTH STUDIES
(2022)
Article
Green & Sustainable Science & Technology
Jim Falk, Faten Attig-Bahar, Rita R. Colwell, Swadhin K. Behera, Adel S. El-Beltagy, Joachim von Braun, Partha Dasgupta, Peter H. Gleick, Ryuichi Kaneko, Charles F. Kennel, Phoebe Koundouri, Yuan Tseh Lee, Thomas E. Lovejoy, Amy Luers, Cherry A. Murray, Rattan Lal, Ismail Serageldin, Youba Sokona, Kazuhiko Takeuchi, Makoto Taniguchi, Chiho Watanabe, Tetsuzo Yasunari
SUSTAINABILITY SCIENCE
(2022)
Article
Water Resources
Amiya Basak, A. T. M. Sakiur Rahman, Jayanta Das, Takahiro Hosono, Ozgur Kisi
Summary: Accurate drought forecasting is crucial for early warning and management of drought hazards. This study evaluated the performance of the Prophet model in meteorological drought forecasting and found that it outperformed traditional SVR and MLR models, making it a recommended robust model for drought forecasting.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)