Review
Environmental Sciences
Claudia M. Viana, Dulce Freire, Patricia Abrantes, Jorge Rocha, Paulo Pereira
Summary: Agriculture plays a vital role in food supply, food security, and supporting Sustainable Development Goals. Research in agriculture is diverse and requires interdisciplinary and comprehensive systematic approaches for synthesis.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Urban Studies
Oznur Isinkaralar, Cigdem Varol
Summary: Cities, as the intersection of global interactions, require analytical modeling of space to understand their organizational structure. The cellular automata-Markov chain (CA-MC) modeling is widely used in predicting land use change in complex systems. This study examines the land use change in Kastamonu city center from 1985 to 2021, aiming to develop a quantitative model for measuring temporal complexity variation. The model's agreement was tested and found to be >0.9438 based on Kappa statistical values.
Article
Environmental Sciences
Yunting Xiao, Jianbo Yang, Lehui Cui, Junjun Deng, Pingqing Fu, Jialei Zhu
Summary: This article examines the sea-land breeze phenomenon in the coastal city of Tianjin, China, and finds a declining trend in its frequency and duration over the past 15 years. Sensitivity experiments reveal that ocean warming and urbanization are the primary factors driving the weakening of the sea-land breeze. With ongoing urbanization and global warming, the sea-land breeze in coastal cities is expected to weaken in the future, potentially leading to inhospitable climate and air pollution.
Review
Environmental Studies
Yin Ma, Minrui Zheng, Xinqi Zheng, Yi Huang, Feng Xu, Xiaoli Wang, Jiantao Liu, Yongqiang Lv, Wenchao Liu
Summary: This study reviews 208 representative papers, oral reports, and project reports to provide a systematic and comprehensive understanding of the current status and future trends of research on land use efficiency assessment. The findings indicate that the number of papers on land use efficiency assessment is rapidly increasing, with a focus on environmental science and ecology. Quantitative models, particularly the data envelopment analysis (DEA) model, are gaining popularity. The definition and analysis perspectives of land use efficiency are diverse, with a significant proportion of research on relative land use efficiency and comprehensive analysis perspectives. The construction of large and complex models that incorporate geospatial effects, big data, and computer technology is a future research trend.
Article
Environmental Sciences
Ahmed Tahraoui, Radja Kheddam, Aichouche Belhadj Aissa
Summary: The suitability of agricultural lands is crucial for sustainable agricultural planning and urbanization projects. This study analyzes the spatio-temporal distributions of land use and land cover change (LULCC) from 1997 to 2013 and predicts future LULCC in 2025 using satellite images and a cellular automata Markov chain model. The generated land suitability maps provide valuable tools for urban planners and policymakers to ensure the sustainability management of agricultural areas.
JOURNAL OF APPLIED REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Wen Song, Shisong Cao, Mingyi Du, Linlin Lu
Summary: This study used remotely sensed data to analyze the spatiotemporal variations in land consumption rate, population growth rate, and the ratio of land consumption rate to population growth rate, and explored their relations with the implementation of sustainable development goals in China. The results showed that the ratio of land consumption rate to population growth rate had more synergies with sustainable development goals compared to the individual perspectives of land consumption rate or population growth rate. The synergies and trade-offs of this ratio were more evident in undeveloped economic zones.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Urban Studies
Jinyao Lin, Xia Li, Youyue Wen, Peiting He
Summary: Cellular automaton (CA) is a useful tool for modeling land-use changes, and the patch-based CA model is superior to the cell-based CA model in considering local-scale spatial homogeneity of urban growth. However, traditional patch-based CA lacks the incorporation of landscape pattern information. To address this limitation, a novel landscape-driven patch-based CA model is proposed, which can consider both landscape similarity and cell-by-cell agreement.
Article
Computer Science, Interdisciplinary Applications
Ahmed Mustafa, Amr Ebaid, Hichem Omrani, Timon McPhearson
Summary: The paper introduces a novel multi-chain multi-objective MCMC CA model for simulating LUCC, which incorporates crossover operation to improve accuracy.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Ecology
Xun Liang, Qingfeng Guan, Keith C. Clarke, Guangzhao Chen, Song Guo, Yao Yao
Summary: The study introduces a new mixed cell CA (MCCA) for simulating land use change with mixed cells, which is fundamentally different from conventional CAs. The MCCA redesigns the CA structure based on cover proportions, utilizes random-forest regression to construct transition rules, proposes a competition mechanism among land use types, and introduces a mixed-cell accuracy measure (mcFoM) for validation. Applied in Wuhan, China, the MCCA successfully simulates subtle changes in land use proportions, representing a new approach for dynamic simulation of mixed land use structures.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Environmental Sciences
Taslim Arifin, Syahrial Nur Amri, Rinny Rahmania, Yuliusa, Muhammad Ramdhan, Handy Chandra, Luky Adrianto, Dietriech Geoffrey Bengen, Fery Kurniawan, Rahmat Kurnia
Summary: As one of the urban areas in Indonesia, Makassar City has experienced massive expansion in the past decades, resulting in land-use changes and structures in the surrounding peri-urban areas. This study analyzes the land-use changes and socio-economic characteristics in Makassar City since 2001, and projects the land-use changes in peri-urban areas for the next decade. The findings suggest an increase in built-up land area in 2031, calling for modified coastal city development and adherence to spatial policies to prevent loss of designated zones.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
(2023)
Article
Environmental Studies
Yabo Zhao, Dixiang Xie, Xiwen Zhang, Shifa Ma
Summary: This study combined SMC and GWRCA models to forecast urban growth in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in southern China, predicting that by 2050, smaller cities will see increased growth while larger cities will experience a slowdown. The coastal belt in the core areas of the GBA and the region's peripheral cities are likely areas of development, while established cities like Shenzhen and Dongguan will no longer undergo rapid expansion.
Article
Environmental Sciences
Sarah Kandrot, Samuel Hayes, Paul Holloway
Summary: The data and information obtained from low-cost drones can support integrated coastal zone management and contribute to the achievement of the UN Sustainable Development Goals at the coast. Applications of UAV technology in coastal management activities include surveillance of illegal fishing, seaweed resource assessments, post-storm damage cost estimation, and documentation of threatened natural and cultural heritage sites.
ESTUARIES AND COASTS
(2022)
Article
Oceanography
Bhanu Kumar Mandal, Aznarul Islam, Biplab Sarkar, Abdur Rahman
Summary: This study examines the rapid expansion of commercial coastal aquaculture and transformation of agricultural land to coastal aquaculture in Purba Medinipur district of West Bengal from 1990 to 2020. The predictive model forecasts the further expansion of coastal aquaculture in 2030, with discussions on environmental hazards, socio-economic drivers, and potential future challenges identified through a questionnaire survey.
OCEAN & COASTAL MANAGEMENT
(2021)
Article
Environmental Studies
Anne-Mette Hjalager, Jan Kloster Staunstrup, Michael Tophoj Sorensen, Rasmus Nedergard Steffansen
Summary: The study reveals a trend towards densification in second homes in Denmark, driven by rising market prices and opportunities for renting the properties to the tourism market. However, this focus on densification neglects other important sustainability goals. Therefore, a more firm and transparent planning practice is necessary.
Article
Geosciences, Multidisciplinary
Quanli Xu, A-Xing Zhu, Jing Liu
Summary: Cellular automata is an important model for simulating land-use change. This study proposes a method for determining the cellular unit based on land natural evolutionary unit (LNU) and shows that the LNU-based cellular automata model exhibits better spatial distribution consistency, higher simulation accuracy, and lower distortion compared to regular grid cellular automata.
Article
Agriculture, Multidisciplinary
Ke Luo, Linlin Lu, Yanhua Xie, Fang Chen, Fang Yin, Qingting Li
Summary: This study used all available Sentinel-2 imagery in 2020 to map major crops in a winter wheat production city in the North China Plain. With the use of feature selection and machine learning classifiers, the research achieved accurate and efficient crop classification and mapping in an agricultural region with complex cropping patterns.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Green & Sustainable Science & Technology
Wen Song, Shisong Cao, Mingyi Du, Linlin Lu
Summary: This study used remotely sensed data to analyze the spatiotemporal variations in land consumption rate, population growth rate, and the ratio of land consumption rate to population growth rate, and explored their relations with the implementation of sustainable development goals in China. The results showed that the ratio of land consumption rate to population growth rate had more synergies with sustainable development goals compared to the individual perspectives of land consumption rate or population growth rate. The synergies and trade-offs of this ratio were more evident in undeveloped economic zones.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Geosciences, Multidisciplinary
Luyang Pan, Linlin Lu, Peng Fu, Vilas Nitivattananon, Huadong Guo, Qingting Li
Summary: The urbanization process has intensified surface urban heat island effects in the Bangkok Metropolitan Region. In this study, a data fusion algorithm was used to fill cloud-induced data gaps and create high-resolution data by blending Landsat and MODIS remote sensing images. The fused data was then used to retrieve land surface temperature for winter months from 2000 to 2020. Spatial cluster analysis was employed to capture the spatiotemporal variations in surface urban heat island, and gradient analysis and geographically weighted regression were used to analyze the effects of land cover composition on land surface temperature. The results provide valuable information for developing heat mitigation strategies in metropolitan regions.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Environmental Sciences
Huicong Jia, Fang Chen, Enyu Du, Lei Wang
Summary: Drought vulnerability assessment is crucial for risk management, thus the development of scientific assessment models is urgent. While there is mature research on vulnerability curves for earthquakes, floods, and typhoons, the studies on drought vulnerability curves are limited. In this study, based on historical drought data in China, three remote sensing indexes were used to construct five regional drought vulnerability curves. The results showed that different regions had varying vulnerability levels, and the arid and ecologically fragile area in the farming pastoral ecotone was identified as a high-risk area. This study reduces the difficulty of developing vulnerability curves and provides valuable insights for accurate drought risk assessment and emergency response.
Article
Green & Sustainable Science & Technology
Wang Li, Wen-Yong Guo, Maya Pasgaard, Zheng Niu, Li Wang, Fang Chen, Yuchu Qin, Jens-Christian Svenning
Summary: Climate and human factors are the most important drivers of global forest structure, with human factors being dominant at the regional level. Uncertainties still exist regarding the pervasiveness of climate change and human activities on forests and how they will shape the future forest structure. Understanding the relative influences of climate and human activities is essential for predicting the role of forests in carbon cycling, biodiversity conservation, and climate mitigation strategies.
NATURE SUSTAINABILITY
(2023)
Article
Environmental Sciences
Muhammad Majeed, Linlin Lu, Muhammad Mushahid Anwar, Aqil Tariq, Shujing Qin, Mohamed E. El-Hefnawy, Mohamed El-Sharnouby, Qingting Li, Abdulrahman Alasmari
Summary: The aim of this study was to evaluate the flash flood susceptibility of district Jhelum, Punjab, Pakistan using geospatial model and Frequency Ratio and Analytical Hierarchy Process. Eight influential flood-causing parameters were considered, including Digital Elevation Model, slope, distance from the river, drainage density, Land use/Land cover, geology, soil resistivity, and rainfall deviation. According to the study, several areas of the region have been classified into different flood zones based on these parameters. The findings provide guidelines for disaster management authorities, infrastructure planners, and climatologists.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Multidisciplinary Sciences
Aqil Tariq, Yan Jiango, Qingting Li, Jianwei Gao, Linlin Lu, Walid Soufan, Khalid F. Almutairi, Muhammad Habib-ur-Rahman
Summary: The present study used RS and GIS techniques to monitor the spatio-temporal changes in forest cover from 1990 to 2017. The results showed that forest area decreased from 1990 to 2010 but increased from 2013 to 2017 due to the implementation of the One Billion Tree Project. This study demonstrated the improvement of forest sustainability through concurrent reforestation in barren land areas and the integration of RS and GIS into forestry organization practices in Khyber Pakhtun Khwa (KPK), Pakistan.
Article
Environmental Sciences
Fang Chen, Jinxiao Wang, Bin Li, Aqiang Yang, Meimei Zhang
Summary: The aim of this study was to identify possible causes of thickness changes for Himalayan debris-covered glaciers. The results showed that the thickness changes were mainly influenced by debris thicknesses, ice cliffs and supraglacial lakes, with different dominant factors for different regions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Enyu Du, Fang Chen, Huicong Jia, Lei Wang, Aqiang Yang
Summary: This study analyzes the spatiotemporal evolution patterns and hysteresis relationship of meteorological and agricultural droughts in the middle and lower reaches of the Yangtze River in China. It finds that irrigated arable land is more sensitive to drought and experiences agricultural drought before rainfed arable land. Furthermore, the study reveals that agricultural drought lags behind meteorological drought by approximately 33 days during the development process of drought events.
Article
Construction & Building Technology
Linlin Lu, Peng Fu, Ashraf Dewan, Qingting Li
Summary: The complex interactions between urban characteristics and thermal environments in megacities in tropical regions are yet to be fully understood. This study investigated the relationship between urban characteristics and land surface temperature (LST) in Chennai, Dhaka, and Kolkata. The study found that factors such as normalized difference built-up index, albedo, and normalized difference vegetation index were most influential in determining LST. The study recommended using high-albedo materials for building roofs, roads, and hardscapes to alleviate surface urban heat island effect in Dhaka and Kolkata, and increasing sky view factor in Chennai and Kolkata.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Environmental Sciences
Liying Han, Linlin Lu, Peng Fu, Chao Ren, Meng Cai, Qingting Li
Summary: This study used Landsat 8 satellite data and MODIS products to create time series land surface temperatures for analysis of the seasonal variations in surface urban heat island (SUHI) in Xi'an, China. The results showed that open building types generally have lower land surface temperatures than compact building types. The highest SUHI intensity was observed in compact mid-rise buildings (LCZ2) in July, while the lowest was observed in open high-rise buildings (LCZ4). The SUHI intensity peaked about 17-23 days later than the background land surface temperatures. The annual SUHI hysteresis cycles exhibited an anti-clockwise concave-up pattern in the monsoon-influenced hot-summer humid continental climate (Dwa per Ko center dot ppenGeiger climate scheme). The SUHI intensity in autumn was higher than in spring under the same background land surface temperatures. These findings provide valuable information for developing heat mitigation strategies in different seasons.
Article
Environmental Sciences
Bo Yu, Fang Chen, Cheng Ye, Ziwen Li, Ying Dong, Ning Wang, Lei Wang
Summary: Poverty is a major cause of social instability worldwide, and reducing poverty is a crucial goal for global sustainable development. This study proposes a model to enhance nighttime light images and calculate county-level poverty index, demonstrating the effectiveness of poverty reduction efforts in China.
REMOTE SENSING OF ENVIRONMENT
(2023)
Editorial Material
Multidisciplinary Sciences
Peng Gong, Huadong Guo, Bin Chen, Fang Chen, Guojun He, Dong Liang, Zhonghui Liu, Zhongchang Sun, Jin Wu, Zhenci Xu, Dongmei Yan, Hongsheng Zhang
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Haiying Zhang, Fang Chen, Lei Wang, Ning Wang, Bo Yu
Summary: This study generated a reservoir inventory for China in 2016 and 2021 with an overall accuracy of 99.71%. From 2016 to 2021, 10.32% of the reservoirs experienced an increase in storage capacity, while 22.73% experienced a decrease. Most provinces and river basins in China have expanded their accumulated storage capacity during this period.
Article
Geochemistry & Geophysics
Meimei Zhang, Fang Chen, Bin Li
Summary: This study proposes an end-to-end multistep question-driven VQA system for remote sensing. By using a multiple-step attention mechanism and a question-driven module, the proposed model demonstrates superior performance in RSVQA compared to other models, and it shows a robust ability in understanding complex questions and image content.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Oceanography
Ha-Kyung Kim, In-Hwan Cho, Eun-A Hwang, Young-Hyo Kim, Jeong-Suk Moon, Bae-Kyung Park, Baik-Ho Kim
Summary: This study investigated the distribution of diatoms in 324 estuaries on the Korean Peninsula from 2016 to 2018, with a focus on the ecological impact of artificial dams. The results highlighted the complex interactions between dams, land use, and diatom communities, providing important data for ecosystem management and biodiversity conservation. Understanding the consequences of artificial dams on diatom distribution is crucial for preserving estuarine health.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Tianhang Gao, Jia Tian, Chuan Huang, Hongyu Wu, Xing Xu, Changjian Liu
Summary: This study explores the microcontainer transport service and route selection problem within the context of a new transportation corridor. A multiobjective planning model is established to minimize transportation cost, time, and carbon emissions. The findings demonstrate that the New Western Land and Sea Corridor is appealing for time-sensitive cargoes and can enhance economic benefits with supportive policies.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Jintao Ma, Zhengjie Wu, Mengqian Guo, Qiuguang Hu
Summary: With the deepening of economic globalization and regional economic integration, marine fisheries are becoming increasingly connected to national strategic interests and economic vitality. It is necessary to explore the synergistic evolution of marine fisheries economic development, environmental protection, and technological progress in order to promote sustainable and healthy development of marine fisheries.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Wenhan Ren, Yuhan Xu, Jing Ni
Summary: This paper focuses on the key role of human economic activities in the evolution of ecological security from the perspective of eco-industrial symbiosis and constructs a symbiotic system of indicators considering human economic activities and all subsystems. The research findings reveal that in China's coastal areas, the socio-economic development index shows a stable upward trend, the environmental capacity index remains stable, and the ecological impact index shows a fluctuating and undulating trend.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Xiao Zhou
Summary: This study develops a spatial risk assessment approach for maritime transportation in China using machine learning and geospatial big data. The study identifies wave height, rainfall, and sea surface temperature as the most influential factors affecting navigational safety. It also analyzes the matching relationship between coastal search and rescue resources and maritime transportation risks.
OCEAN & COASTAL MANAGEMENT
(2024)
Review
Oceanography
X. Yang, Z. Y. Lin, W. J. Zhang, S. Xu, M. Y. Zhang, Z. D. Wu, B. Han
Summary: The study highlights the increasing importance of Arctic navigation safety and identifies gaps in the application of risk assessment methodologies. It calls for decision-oriented modelling techniques and bridging the gap between academic research and practical application.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Vladimir J. Alarcon, Anna C. Linhoss, Christopher R. Kelble, Paul F. Mickle, Alexandra Fine, Enrique Montes
Summary: Estuaries and coastal areas are undergoing rapid changes due to climate change and sea level rise. This research presents a salinity transport model for Biscayne Bay and investigates the potential impacts of altered precipitation, increased salinity/temperature, and sea level rise on bay salinity. The findings suggest that current restoration plans may not be sufficient to maintain current salinity conditions, and management measures such as urban greening, artificial groundwater recharge, and water consumption reduction should be considered.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Manuel Vargas-Yanez, Ana Reeves-Bueno, Sara Fernandez-Topham, Francina Moya, Enrique Ballesteros, Cristina Alonso, Teresa Perez-Sanchez, Patricia Romero-Fernandez, Silvia Sanchez-Aguado, Ricardo Felix Sanchez-Leal, M. Carmen Garcia-Martinez
Summary: This study analyzed the phytoplankton communities in the upper 100 m of the Gulf of Cadiz and the Alboran Sea using time series data. The results show that these two regions can be considered as two differentiated bioregions, with the latter having higher productivity.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Donna Dimarchopoulou, Ioannis Keramidas, Konstantinos Tsagarakis, Vasiliki Markantonatou, Ghassen Halouani, Athanassios C. Tsikliras
Summary: The study shows that spatiotemporal simulation modeling is an effective tool for investigating management options in ecosystem-based fisheries management. It demonstrates that fisheries restricted areas can help rebuild the biomass of exploited stocks, but their effectiveness depends on the size and location of the areas. The study also suggests that a parallel reduction in total fishing effort is necessary to achieve the highest benefits of protection.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Junita D. Karlsen, Ludvig Ahm Krag, Bent Herrmann
Summary: Fisheries management is transitioning from a single-species approach to an ecosystem-based approach to address the complexities of mixed-species fisheries. A dual compartment codend concept can provide a complex selectivity profile and allow for flexible adjustments at sea, improving compliance with management objectives.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Yi-Zhuo Zhang, Cheng Xue, Na Wang, Gang Chen
Summary: This paper evaluates typical coastal provinces and cities in China, constructing an evaluation indicator system and clarifying the regional differences in the sustainable development capacity of China's marine fisheries industry. The results show that Shandong Province and Fujian Province have advantages in sustainable development, while Tianjin, Hebei Province, and Shanghai have room for improvement.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Caimao Tan, Tiantian Qin, Junliang He, Yu Wang, Hang Yu
Summary: This study addresses the storage space allocation problem of container yards based on the dual-cycle operation mode. A mixed integer programming model is established to optimize container transportation distance. The results show that dual-cycle operation can decrease transportation distance and the space allocation method based on it is more effective than traditional methods. The study also provides management insights for container ports and suggests effective solutions for bottleneck problems.
OCEAN & COASTAL MANAGEMENT
(2024)
Article
Oceanography
Haye H. Geukes, Peter M. van Bodegom, Alexander P. E. van Oudenhoven
Summary: This study aims to identify and explore the information requirements at different stages of the decision-making process of coastal nature-based solutions (NbS). The study found substantial differences in information requirements across the decision-making stages, with values and indicators becoming more specific and concrete as the stages progressed. The study also suggests that future changes in the information required for decision-making on coastal NbS can be anticipated and prepared for.
OCEAN & COASTAL MANAGEMENT
(2024)