Article
Environmental Sciences
Ahmet Salih Degermenci
Summary: The spatial and temporal changes in land use and land cover are crucial for understanding interactions between different areas and planning for future sustainability. In this study, satellite imagery and models were used to analyze the changes in land use and land cover, and predict future development. The results indicate a continued increase in artificial surfaces, which may result in the loss of agricultural land.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Geography
Abhijit Paul, Manjari Bhattacharji
Summary: The study investigates the landuse and landcover change along the Bhagirathi river over the past three decades due to river bank erosion. Classification techniques and kappa statistics were used to prepare landuse and landcover maps and assess their accuracy. A simulation model was developed to predict future changes in the riverine landscape. The results suggest an increase in agricultural land and settlement at the expense of vegetation and fallow land, indicating potential risks to human life and property.
Article
Water Resources
Argaw A. Eshetie, Melsew A. Wubneh, Mekash S. Kifelew, Mikhael G. Alemu
Summary: This study investigates the impact of land use/land cover changes on streamflow in the Upper Gilgel Abay watershed. The results show that changes in land cover have led to an increase in streamflow, particularly in cultivated areas. The study provides valuable insights for water planners and natural resource professionals in the area.
APPLIED WATER SCIENCE
(2023)
Article
Environmental Sciences
Muhammad Nasar Ahmad, Zhenfeng Shao, Akib Javed
Summary: The dynamic change in land use/land cover due to rapid urbanization in Lahore has caused concerns about air quality. This research aims to monitor LULC change, predict future changes, and assess the impact on air quality. The findings show an increase in urban areas and a decrease in vegetation, barren land, and water bodies. The atmospheric pollutants have also increased, and it is projected that they will continue to rise. The majority of urban expansion is observed in the eastern and southern regions, highlighting the need for conservation efforts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Oceanography
Ngo Thuy Diem Trang, Elizabeth C. Ashton, Nguyen Chau Thanh Tung, Nguyen Hai Thanh, Nguyen Van Cong, Tran Sy Nam, Nguyen Cong Thuan, Huynh Cong Khanh, Nguyen Phuong Duy, Nguyen Nhat Truong
Summary: The mangroves in the Mekong Delta in Vietnam have been degraded and lost due to various factors. To support local livelihoods and promote replanting, a 20-year mangrove lease program was initiated. However, the age of mangrove stands does not significantly affect shrimp productivity in integrated mangrove-shrimp systems. Water level management is identified as a key factor.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Manikandan Kamaraj, Sathyanathan Rangarajan
Summary: This study used the QGIS 2.18.24 version MOLUSCE plugin (MLP-ANN) model to analyze land-use changes in the Bhavani basin and forecast future changes. The study found that DEM, distance from the road, and distance from builtup areas have significant effects on land-use changes. The projections indicate a continued increase in cropland and builtup areas in the coming years.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Information Systems
Takaaki Fukai, Takahiro Shinagawa, Kazuhiko Kato
Summary: This paper introduces BLMVisor, a live migration scheme for bare-metal clouds, that achieves OS-independent and lightweight live migration by utilizing a very thin hypervisor that exposes physical hardware devices to the guest OS directly rather than virtualizing the devices. By controlling physical devices with effective techniques, BLMVisor captures, transfers, and reconstructs physical device states to minimize performance degradation post live migration, making the OS performance comparable to that of a bare-metal machine.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Geosciences, Multidisciplinary
Junxia Yan, Ya Feng, Junjian Li, Hongjian Li, Guangwei Ding
Summary: This study investigated the correlations between soil respiration (Rs) and environmental factors in abandoned farmland and bare land areas over an 11-year period, finding that Rs and temperature sensitivity were higher in areas with vegetation recovery. Rs was primarily controlled by soil temperature (Ts) on an annual scale, and by Ts and moisture (theta) on a seasonal scale, with stronger correlations in areas with vegetation recovery. The annual Rs and root respiration (R) ratios were positively correlated with annual moisture and NDVI in areas with vegetation recovery, highlighting the importance of long-term observations for accurate estimation of CO2 efflux in semiarid regions.
Article
Green & Sustainable Science & Technology
Shanghui Yang, Xiaowei Deng, Zilong Ti, Bowen Yan, Qingshan Yang
Summary: This study develops a novel double-layer machine learning framework for an appropriate cooperative yaw control strategy, which effectively mitigates the significant power loss caused by wake interference. The proposed framework combines an artificial neural network (ANN) yawed wake model and a Bayesian machine learning algorithm, achieving more accurate power prediction and notable power improvements compared to the analytical model.
Article
Computer Science, Information Systems
Aldo G. Orozco-Lugo, Des C. McLernon, Mauricio Lara, Syed Ali Raza Zaidi, Brenda J. Gonzalez, Omar Illescas, Cesar Perez-Macias, Valentin Najera-Bello, Jose Alberto Balderas, Jose L. Pizano-Escalante, Carlos Mex Perera, Refugio Rodriguez-Vazquez
Summary: This paper develops an architecture for flying ad-hoc networks (FANETs) to enable monitoring of water quality in a shrimp farm. A reference architecture for implementing a cost-effective FANET based mobile sensing platform is developed, which utilizes the controlled mobility of the platform to increase the spatial monitoring resolution without extensive infrastructure deployment.
INTERNET OF THINGS
(2022)
Article
Environmental Sciences
Paulos Lukas, Assefa M. Melesse, Tadesse Tujuba Kenea
Summary: This study evaluates land use/land cover changes in the Upper Omo-Gibe River basin from 1991 to 2022 and predicts future changes using the CA-ANN model. Remote sensing data from Landsat satellites were analyzed and classified using machine learning algorithms in QGIS. The results show that the expansion of built-up areas and agricultural land are the main drivers of LULC changes.
Article
Chemistry, Multidisciplinary
Chen Chen, Meng-hui Wang, Lin-Yan Feng, Lian-Qing Zhao, Jin-Chang Guo, Hua-Jin Zhai, Zhong-hua Cui, Sudip Pan, Gabriel Merino
Summary: We report a class of clusters containing a planar hexacoordinate silicon atom, and describe their structures and properties in detail. Heavier alkaline-earth atoms stabilize the peripheral ring by forming covalent bonds with silicon, while lighter homologues exhibit repulsive interactions due to electrostatic forces. Furthermore, we find that the planarity of the silicon core and the attractive nature of all six contacts are maintained in N-heterocyclic carbene and benzene-bound complexes, which has important practical applications.
Article
Environmental Sciences
M. Tauhid Ur Rahman, Eshrat Jahan Esha
Summary: This study assessed the land use dynamics of Southwestern coastal Bangladesh using multi-temporal Landsat images and predicted future trends using the CA-ANN model. The results showed a significant decrease in vegetation and an increase in wetlands and built-up areas during the study period. The study also found that the maximum land surface temperature increased as a result of land use change.
GEOCARTO INTERNATIONAL
(2022)
Article
Agronomy
Jihun Kim, Il Do Ha, Sookhee Kwon, Ikhoon Jang, Myung Hwan Na
Summary: Recently, smart farming research based on artificial intelligence has been widely applied in agriculture to improve crop cultivation and management. This paper focuses on predicting the time-to-harvest of tomatoes on a smart farm using a deep neural network model. The proposed method outperforms existing methods in terms of predictive performance.
Article
Meteorology & Atmospheric Sciences
Joshua B. Fisher, Munish Sikka, Gary L. Block, Christopher R. Schwalm, Nicholas C. Parazoo, Hannah R. Kolus, Malen Sok, Audrey Wang, Anna Gagne-Landmann, Shakirudeen Lawal, Alexandre Guillaume, Alyssa Poletti, Kevin M. Schaefer, Bassil Masri, Peter E. Levy, Yaxing Wei, Michael C. Dietze, Deborah N. Huntzinger
Summary: Model Intercomparison Projects (MIPs) are crucial for understanding the land surface's response to climate change. Centralizing multiple models on a single supercomputing system has benefits such as simplified processing, reduced output variability, and novel analysis output. However, challenges include technological demands, model version lag, and the need for intellectual input from core model development teams.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Water Resources
M. Tauhid Ur Rahman, Umme Ruman Siddiqi, Suichi Kure, Akira Mano, Keiko Udo, Yoshinobu Ishibashi
EXPOSURE AND HEALTH
(2016)
Article
Engineering, Environmental
Ishtiak Mahmud, Sheikh Hefzul Bari, M. Tauhid Ur Rahman
ENVIRONMENTAL ENGINEERING RESEARCH
(2017)
Article
Oceanography
M. Tauhid Ur Rahman, Md. Rasheduzzaman, Md Arman Habib, Afzal Ahmed, Syed Mohammed Tareq, Shah Md Muniruzzaman
OCEAN & COASTAL MANAGEMENT
(2017)
Article
Environmental Sciences
Syed M. Tareq, M. Tauhid Ur Rahman, A. Z. M. Zahedul Islam, A. B. M. Baddruzzaman, M. Ashraf Ali
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2018)
Article
Environmental Sciences
Md Rasheduzzaman, Rajveer Singh, Charles N. Haas, Dienye Tolofari, Hamed Yassaghi, Kerry A. Hamilton, Zhao Yang, Patrick L. Gurian
Correction
Environmental Sciences
Md Rasheduzzaman, Rajveer Singh, Charles N. Haas, Dienye Tolofari, Hamed Yassaghi, Kerry A. Hamilton, Zhao Yang, Patrick L. Gurian
Article
Environmental Sciences
Jannatul Ferdous, M. Tauhid Ur Rahman
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Review
Environmental Sciences
Rajveer Singh, Kerry A. Hamilton, Md Rasheduzzaman, Zhao Yang, Saurajyoti Kar, Angelita Fasnacht, Sheldon V. Masters, Patrick L. Gurian
Article
Engineering, Environmental
Md Rasheduzzaman, Rajveer Singh, Charles N. Haas, Patrick L. Gurian
Article
Environmental Sciences
M. Tauhid Ur Rahman, Eshrat Jahan Esha
Summary: This study assessed the land use dynamics of Southwestern coastal Bangladesh using multi-temporal Landsat images and predicted future trends using the CA-ANN model. The results showed a significant decrease in vegetation and an increase in wetlands and built-up areas during the study period. The study also found that the maximum land surface temperature increased as a result of land use change.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Rajveer Singh, Deepika Chauhan, Alanna Fogarty, Md Rasheduzzaman, Patrick L. Gurian
Summary: This study assessed water quality management practices in large buildings in the United States and found that many buildings have issues with controlling Legionella spp. risks. There are also deficiencies in monitoring hot water temperatures, recirculation loop temperatures, showerhead replacement and disinfection, and overall water quality management.
Article
Environmental Sciences
Alasdair Cohen, Md Rasheduzzaman, Amanda Darling, Leigh-Anne Krometis, Marc Edwards, Teresa Brown, Tahmina Ahmed, Erin Wettstone, Suporn Pholwat, Mami Taniuchi, Elizabeth T. Rogawski McQuade
Summary: Unsafe drinking water consumption is a significant health burden globally, including in rural areas of the US. This study conducted surveys and analyzed water samples from households in Central Appalachia to assess water sources, quality, and associated health outcomes. The findings suggest that lower-income residents without utility-supplied water in southwest Virginia may face microbiological and chemical contaminants in their drinking water.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)