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The Impact of Cropland Spatial Pattern Change on Grain Production in China
Li Yuanyuan, Tan Minghong, Zhang Hongqi
Strategic Study of CAE 2018, Volume 20, Issue 5, Pages 90-95 doi: 10.15302/J-SSCAE-2018.05.014
Cropland is the basis of grain production. In recent decades, the spatial pattern of cropland in China has changed significantly, which has caused some impact on grain production. Based on land cover data of 1990, 2000, and 2010, this study explored changes in the spatial pattern of cropland, and constructed a database with a spatial resolution of 1 km based on county-level agricultural statistics and soil organic matter data, which is the representative of crop productivity. The results show that: during the period from 1990 to 2010, drastic reclamation happened in Northeast and Northwest China while the cropland acreage decreased in Huang-Huai-Hai Plain; the main source of new cropland during the study period was grassland (46.9%), and the lost cropland was mainly converted to forest land (36.6%) in the first ten years and then to construction land (53.0%) in the following ten years; the changes in the spatial pattern of cropland have caused a decrease of 2.0% in the average crop productivity, and during this period, the construction land mostly occupied high-quality cropland, while the newly reclaimed cropland had lower crop productivity.
Keywords： 耕地是粮食生产的基础，近几十年来中国耕地空间格局变化显著，对粮食生产造成一定影响。本研究以1990 年土地覆被数据为基础，探究耕地空间格局变化，并基于县级农业统计数据和土壤有机质数据得到空间分辨率为1 ，在此期间建设用地多占用优质耕地，而新开垦的耕地粮食生产力普遍较低。
The Underestimated Role of the Heat Pump in Achieving China’s Goal of Carbon Neutrality by 2060
Hongzhi Yan, Chuan Zhang, Zhao Shao, Markus Kraft, Ruzhu Wang
Engineering 2023, Volume 23, Issue 4, Pages 13-18 doi: 10.1016/j.eng.2022.08.015
New Standards Release Sets Stage for 5G Future
Erika K. Carlson
Engineering 2021, Volume 7, Issue 3, Pages 275-276 doi: 10.1016/j.eng.2021.01.003
Development Strategy of Agricultural Big Data and Information Infrastructure
Sun Jiulin, Li Denghua, Xu Shiwei, Wu Wenbin, Yang Yaping
Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 10-18 doi: 10.15302/J-SSCAE-2021.04.002
Agricultural big data and information infrastructure are important foundations for modern agriculture, prerequisites for smart agriculture, and new elements of agricultural growth in the new era. In this article, we analyze the development status and existing problems of China’s agricultural big data and information infrastructure considering the strategic needs and challenges of smart agriculture development; summarize the relevant policies, action plans, and experiences in China and abroad; propose the strategic objectives of developing agricultural big data and information infrastructure in 2025, 2035, and 2050; and devise the future development technology roadmap. In the future, big data development should be promoted in the entire agricultural industry chain and the construction of the agricultural big data system needs to be standardized by building an integrated data sharing mechanism. Breakthroughs achieved in key common technologies can expand the application of agricultural big data. Agricultural big data industry bases are required for creating application clusters of agricultural big data. An urban–rural integrated information infrastructure needs to be built by coordinating urban and rural resources, and an agricultural cyberspace that features interconnection of everything, human–computer interaction, and sky–space–earth–sea integration is expected to be created. From the policy aspect, China should strengthen the overall planning to improve its rural network infrastructure and the digital transformation of traditional infrastructure, along with promoting the basic research and development of chips, model components, and basic information systems. Moreover, it should focus on core technologies such as agricultural big data acquisition, analysis, and service; strengthen the collaborative innovation of systems and mechanisms to achieve standardization and integrated sharing of agricultural data; and build a high-level talent team to provide basic support for developing smart agriculture in China.
Keywords： agricultural big data，information infrastructure，technical route，smart agriculture
On the Data-Driven Materials Innovation Infrastructure
Hong Wang, X.-D. Xiang, Lanting Zhang
Engineering 2020, Volume 6, Issue 6, Pages 609-611 doi: 10.1016/j.eng.2020.04.004
Constraints for Sustainable Land Use in China and Countermeasures
Li Boheng
Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 7-12
Large population, limited land resources and environmental pollution are the main constraints for sustainable land use in China. It is an ambitious goal of the new millennium to monitor land use dynamically with remote sensing technology, enhance management of primary agricultural land, build gardening and ecologically sound agricultural conditions, and to achieve dynamic balance of total agricultural land areas in China.
Keywords： land use sustainable development countermeasures
Teng Zhou, Zhen Song, Kai Sundmacher
Engineering 2019, Volume 5, Issue 6, Pages 1017-1026 doi: 10.1016/j.eng.2019.02.011
Materials development has historically been driven by human needs and desires, and this is likely to continue in the foreseeable future. The global population is expected to reach ten billion by 2050, which will promote increasingly large demands for clean and high-efficiency energy, personalized consumer products, secure food supplies, and professional healthcare. New functional materials that are made and tailored for targeted properties or behaviors will be the key to tackling this challenge. Traditionally, advanced materials are found empirically or through experimental trial-and-error approaches. As big data generated by modern experimental and computational techniques is becoming more readily available, data-driven or machine learning (ML) methods have opened new paradigms for the discovery and rational design of materials. In this review article, we provide a brief introduction on various ML methods and related software or tools. Main ideas and basic procedures for employing ML approaches in materials research are highlighted. We then summarize recent important applications of ML for the large-scale screening and optimal design of polymer and porous materials, catalytic materials, and energetic materials. Finally, concluding remarks and an outlook are provided.
Keywords： Big data Data-driven Machine learning Materials screening Materials design
Engineering Fronts Data and Methodology 2017
Global Engineering Front Project Team
Engineering Fronts 2017, Volume 1, Issue 1, Pages 2-6
Wang Yongsheng, Li Yuheng , Liu Yansui
Strategic Study of CAE 2019, Volume 21, Issue 2, Pages 48-54 doi: 10.15302/J-SSCAE-2019.02.017
Land is the all-important resource and material for human survival and development. Healthy, ecological, and highly efficient farmland is the basis of modern agriculture. Eliminating land use obstacles and improving crop living conditions are improtant for providing healthy and fertile soils for improved crop varieties. This study intends to address the issues of sandy land consolidation and sustainable use in Mu Us Sandy Land area. Soil reconstruction with natural red clay or loess is an economical and ecological method for sandy land improvement. Complex technology systems and patterns are constructed through land consolidation engineering experiments, including sandy land structuralization consolidation, crop varieties optimized selection, and water and fertilizer precision management. Sandy soil oriented consolidation will provide scientific supporting for degraded land consolidation and modern agrciultural development. In the furture, a related land engineering technonolgy system and a whole-chain land project management mechanism should be intensified through soil reconstruction, farmland building, and soil improvement from micro, meso, and macro level, respectively.
Keywords： land consolidation modern agriculture soil reconstruction crop optimized selection Mu Us Sandy Land
Science-based Engineering R & D of Complex Systems
Xu Zhilei
Strategic Study of CAE 2002, Volume 4, Issue 10, Pages 26-30
Nuclear weapons are complex systems with special requirements on effectiveness, safety and reliability and, therefore, science-based engineering studies have been conducted, while enhancing system engineering and computer simulation. To further study mechanics and material science for environmental adaptability of the complex systems, theoretical and computational advances must be pursued. The most important issues are theoretical modeling and test designing. Unfortunately, appropriate theories and models for complex system have not been formed yet so far. Following the science development in the 21st century, applications of computer simulations will be speed up for complex systems investigations in various disciplines.
Keywords： complex systems nuclear weapons computer simulation modeling of functional systems
Perspectives on cross-domain visual analysis of cyber-physical-social big data Perspective
Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12, Pages 1551-1684 doi: 10.1631/FITEE.2100553
Keywords： 可视分析；三元空间；大数据；跨域
Nanjing University of Science & Technology
Qian Wei,Gong Xianghu
Strategic Study of CAE 2007, Volume 9, Issue 3, Pages 62-66
Aiming at the success of the franchise of Nanjing Cioss-River Tunnel, this paper analysis the structure of the risks in the infrastructure franchise and its influences. For it is impossible to get a complete contract between the private sector and the government, the goverment should take some appropriate measures and set up a good governance structure to deal with these risks, which is a key factor to affect the success of franchise.
Keywords： franchise Nanjing Cross-River Tunnel incomplete contract risk governance
Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure Review
Bowen Du, Junchen Ye, Hehua Zhu, Leilei Sun, Yanliang Du
Engineering 2023, Volume 25, Issue 6, Pages 194-203 doi: 10.1016/j.eng.2022.07.016
Intelligent sensing, mechanism understanding, and the deterioration forecasting based on spatio–temporal big data not only promote the safety of the infrastructure but also indicate the basic theory and key technology for the infrastructure construction to turn to intelligentization. The advancement of underground space utilization has led to the development of three characteristics (deep, big, and clustered) that help shape a tridimensional urban layout. However, compared to buildings and bridges overground, the diseases and degradation that occur underground are more insidious and difficult to identify. Numerous challenges during the construction and service periods remain. To address this gap, this paper summarizes the existing methods and evaluates their strong points and weak points based on real-world space safety management. The key scientific issues, as well as solutions, are discussed in a unified intelligent monitoring system.
Keywords： Structure health monitoring Underground space infrastructure Machine learning Spatio–temporal data
Zhang Rui,Shi Xiaopeng and Chen Yingwu
Strategic Study of CAE 2017, Volume 19, Issue 5, Pages 97-102 doi: 10.15302/J-SSCAE-2017.05.017
Accelerating the development of "specialized, elaborative, characteristic" little giant (SECLG) enterprises is essential in order to enhance the overall competitiveness of China's enterprises, encourage endogenous and innovation-driven growth, heighten total-factor productivity, and implement strategic supply-side reform. This is a necessary path which is adapted to China's national conditions and the sustained healthy development of the manufacturing industry. In an effort to discover these good nurturing practices and experiences, the research presented in this paper is focused on the southern Jiangsu province, which is an important agglomeration area of China's SECLG enterprises. This paper could serve as a reference for SECLG enterprises nurturing policy-making. It could also be useful in fields like the in-depth implementation of the innovation-driven and strong industrial base strategy.
Keywords： “specialized elaborative characteristic” little giant (SECLG) industrial base policy system
Constructing Internet Plus New Infrastructure in Cities
Fan Lingjun, Yang Fei , Zheng Weicheng , Hong Xuehai , Fan Dongrui
Strategic Study of CAE 2020, Volume 22, Issue 4, Pages 106-113 doi: 10.15302/J-SSCAE-2020.04.005
Internet Plus New Infrastructure is a key component of the Internet Plus initiative. This study analyzes the demand,development status, and problems regarding the Internet Plus New Infrastructure mode, and proposes that establishing the Internet Plus New Infrastructure mode requires addressing the effective aggregation, integration, and application of massive data and ensuring realtime processing and response with high concurrency, low latency, and high security and reliability of network services. This study also demonstrates the typical construction path for constructing the Internet Plus New Infrastructure mode, that is, to address the efficient integration and effective use of city data through the construction of data middle offices and to provide both high-throughput and high quality services through the “information high-speed rail stations.” The concepts and technical essentials of the data middle offices and information high-speed rail stations are analyzed, which are the core infrastructures of the Internet Plus initiative. To promote the Internet Plus initiative in China, countermeasures and suggestions for the construction of the Internet Plus New Infrastructure mode in cities are proposed from the perspective of planning, policy implementation, and flexible operating models.
Keywords： Internet Plus new infrastructure data middle office information high-speed train high-throughput computing
Title Author Date Type Operation
The Impact of Cropland Spatial Pattern Change on Grain Production in China
Li Yuanyuan, Tan Minghong, Zhang Hongqi
Journal Article
The Underestimated Role of the Heat Pump in Achieving China’s Goal of Carbon Neutrality by 2060
Hongzhi Yan, Chuan Zhang, Zhao Shao, Markus Kraft, Ruzhu Wang
Journal Article
Development Strategy of Agricultural Big Data and Information Infrastructure
Sun Jiulin, Li Denghua, Xu Shiwei, Wu Wenbin, Yang Yaping
Journal Article
On the Data-Driven Materials Innovation Infrastructure
Hong Wang, X.-D. Xiang, Lanting Zhang
Journal Article
Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design
Teng Zhou, Zhen Song, Kai Sundmacher
Journal Article
Principle and Method of Modern Agricultural Two-Dimension Optimization Engineering Experiment: A Case Study of Mu Us Sandy Land
Wang Yongsheng, Li Yuheng , Liu Yansui
Journal Article
Perspectives on cross-domain visual analysis of cyber-physical-social big data
Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com
Journal Article
Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure
Bowen Du, Junchen Ye, Hehua Zhu, Leilei Sun, Yanliang Du
Journal Article
The Nurturing Path of “Specialized, Elaborative, Characteristic” Little Giant Enterprises: Study on Southern Jiangsu Province
Zhang Rui,Shi Xiaopeng and Chen Yingwu
Journal Article
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