Article
Environmental Sciences
Qing Wang, Lin Zeng, Chao Zhan, Xianbin Liu, Longsheng Wang, Shanshan Cheng, Buli Cui
Summary: This study reconstructs the evolution history of the ancient abandoned Yellow River delta using optically stimulated luminescence dating and sedimentary analysis. The results show that the delta was abandoned after 893 AD and a sandy coast and offshore shell ridges were formed. During the Medieval Warm Period to the Little Ice Age, the shell ridges migrated, widened, and rose, while sediment accumulation in the floodplains was weak. After 1077 AD, the delta and coastal system were eroded by the Daqing River estuary. After 1855 AD, the abandoned delta was completely buried by Yellow River sediments, transforming the coast from sandy to silt-mud.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Yu Zhang, Daniil Svyatsky, Joel C. Rowland, J. David Moulton, Zhendong Cao, Phillip J. Wolfram, Chonggang Xu, Donatella Pasqualini
Summary: Coastal marsh evolution plays a significant role in future coastal freshwater-saltwater interaction and should not be ignored when evaluating coastal saltwater intrusion under sea level rise.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Hugo S. Yamassaki, Fernando F. Vesely
Summary: The study analyzed the geomorphological evolution and architecture of the Maric ' a deep-sea fan in the northern Santos Basin offshore SE Brazil, mapping five horizons using three-dimensional seismic data and well logs. The research revealed major geomorphologic transformations of the deep-sea fan from inception to abandonment, identifying six lobes with varying growth patterns and stratigraphic signatures indicative of different deposition processes. The results showed that the channel network and sand-body architecture evolve predictably controlled by fan aggradation.
MARINE AND PETROLEUM GEOLOGY
(2022)
Article
Geography, Physical
Manuel -L. Diercks, Christoph Gruetzner, Julian Welte, Kamil Ustaszewski
Summary: Remote sensing-based tectonic geomorphology is widely used to study neotectonic processes, but even the most trusted methods are pushed to their limits in low tectonic rate karstic landscape conditions as observed in Western Slovenia and Northeast Italy.
Article
Oncology
Gianpaolo Balzano, Giovanni Guarneri, Nicolo Pecorelli, Stefano Partelli, Stefano Crippa, Augusto Vico, Massimo Falconi, Giovanni Baglio
Summary: This study highlights the significant disparities in access to pancreatic surgery in Italy. The distribution of adequate facilities for pancreatic surgery is uneven across the country, with patients from the south and central regions having higher rates of mobility to the north for surgery. The study also found that mortality rates were higher for non-migrating patients in the south and central regions, indicating the need for improved facilities and equal access to care.
Article
Chemistry, Analytical
Gheorghe Grigoras, Maria Simona Raboaca, Catalin Dumitrescu, Daniela Lucia Manea, Traian Candin Mihaltan, Violeta-Carolina Niculescu, Bogdan Constantin Neagu
Summary: The article discusses the promotion and implementation of the concept of smart grids, which includes smart metering, smart homes, and electric cars. It also explores the development of high-performance electrical equipment, telecommunications technologies, and computing infrastructure based on AI algorithms for the creation of smart cities. The article presents contributions in consumer classification and load profiling modeling, as well as the efficiency of clustering techniques in load analysis and simulation of medium-voltage/low-voltage distribution transformers to electricity meters.
Article
Geosciences, Multidisciplinary
Chris Larsen, Dicky Harishidayat, Kamaldeen O. Leif Omosanya
Summary: This study analyzed the geomorphologic controls on the evolution of fourteen submarine channels within the Clifdenian-Tongaporutuan interval of the Southern Taranaki Basin. The findings revealed two main groups of channels: isolated and amalgamated stacks, which further include high sinuosity-meandering, low sinuosity-meandering, and straight channels. The interactions between turbidity flows and seafloor topography, as well as the eustatic sea-level fall and tectonic activities, played significant roles in shaping the channels. The integrated analysis and unique case study contribute to research on submarine channels and provide insights into various geological aspects.
MARINE AND PETROLEUM GEOLOGY
(2023)
Article
Remote Sensing
Ruojing Zhang, Yuehong Chen, Xiaoxiang Zhang, Qiang Ma, Liliang Ren
Summary: This paper proposes a flash flood regionalization approach using machine learning algorithms and conducts a case study in Jiangxi province, China. The generated flash flood regionalization map consists of eighteen homogeneous regions. The results show that the map can provide a 77.31% determinant power for the spatial distribution of historical flash flood events, which is beneficial for future flash flood mitigation and prevention in Jiangxi province.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Shuang Yang, Mengzhu Gao, Jintao Liu, Pengfei Wu, Yaqian Yang
Summary: We developed a new regionalization method of Flow duration curves (FDCs) for runoff prediction in ungauged mountainous basins. Through fitting observed FDCs in 64 mountainous basins in eastern China, we found that the power model outperforms other models. Stepwise regression analysis identified seven basin descriptors as control factors for developing regional FDCs. Application results showed that average annual rainfall, average elevation, average gradient, average topographic index, and maximum 7d of annual rainfall were the main control factors of FDCs in these areas. By using the regional method, we achieved satisfactory accuracy in runoff prediction for the majority of basins.
Article
Computer Science, Information Systems
Lin Yang, Xinming Li, Qinye Yang, Lei Zhang, Shujie Zhang, Shaohong Wu, Chenghu Zhou
Summary: This study proposes a method to extract knowledge from legacy area-class maps to formulate fuzzy membership functions for regionalization. The buffer zone approach effectively reduces uncertainties of boundaries between eco-region units on area-class maps, recommending a buffer distance of 10-15 km. The climatic zone map generated based on extracted fuzzy membership functions shows higher spatial stratification heterogeneity compared to the original map.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Environmental Sciences
Patricio Pacheco, Eduardo Mera
Summary: This study examines the consequences of human activity on the atmospheric boundary layer, specifically focusing on atmospheric pollution, urban micrometeorology, three geographic morphologies, and surface change of roughness due to buildings. Qualitative relationships are established between these factors using measurements, and the results show a lower impact on mountain and coastal areas.
Article
Environmental Sciences
Deng Haoyu, Wu Shaohong, Yin Yunhe, Gao Jiangbo, Zhao Dongsheng
Summary: Eco-geographical regionalization divides land into regions based on the differentiation pattern of eco-geographical elements, and this study aimed to extract and quantify expert knowledge using an automated method for repeatable mapping. The rough set method was used to extract rules for regionalization from existing datasets, resulting in a quantitative and repeatable eco-geographical regionalization technique.
CHINESE GEOGRAPHICAL SCIENCE
(2022)
Article
Multidisciplinary Sciences
Carlo Donadio, Massimo Brescia, Alessia Riccardo, Giuseppe Angora, Michele Delli Veneri, Giuseppe Riccio
Summary: This study proposed a data-driven deep learning approach to investigate the geomorphological features of drainage networks, which achieved successful results and demonstrated the potential of deep learning in geomorphology and related fields.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Orhun Aydin, Mark. V. Janikas, Renato Martins Assuncao, Ting-Hwan Lee
Summary: This study investigates the performance of regionalization algorithms on a simulated benchmark dataset, utilizing various metrics to evaluate quality. The analysis reveals strengths and weaknesses of each method, demonstrating computational efficiency and preferred circumstances.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Computer Science, Information Systems
Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei
Summary: The spatial clustering method STICC considers both the attributes and spatial relationships of geographic objects, preserves spatial contiguity through constructing subregions and Markov random field. In experiments, STICC outperforms other methods in terms of adjusted rand index and macro-F1 score, suitable for applications in geography, remote sensing, transportation, and urban planning.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
