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China’s Agriculture Green Development: from Concept to Actions RESEARCH ARTICLE

Frontiers of Agricultural Science and Engineering 2024, Volume 11, Issue 1,   Pages 20-34 doi: 10.15302/J-FASE-2023512

Abstract:

China has initiated a green transformation plan in 2015, which was soon applied to agriculture, known as the Agriculture Green Development (AGD) initiative, with the goals of achieving food security, high resource use efficiency, and an ecofriendly environment. To assess the agricultural transformation from 1997 to 2020, this paper proposes a national-scale indicator system consisting three dimensions (socioeconomic, food production and eco-environmental) and ten sub-dimensions to quantify the AGD score. This study showed that AGD score in China was at a moderate level during 1997–2010, scoring 40 out of 100. During this stage, decreased scores in the sub-dimensions of resource consumption, environmental quality, and environmental cost have offset the improvement in the socioeconomic dimension, resulting in fluctuated scores around 40. In the second stage (2011–2020), China’s AGD score improved but still at moderate level, scoring an average of 46.3, with each dimension increasing by 5.3%–25.0%. These results indicate that China has made progress in the agricultural transformation, transitioning from conceptualization to actions through the implementation of various policies and projects. However, the study emphasizes the need for more effort to address the insufficient and unbalanced development, along with the growing eco-environmental challenges, especially the trade-offs among dimensions.

Keywords: agricultural transformation     Agriculture Green Development     historical trend     indicator system     theoretical    

Evaluation of the influence of El Niño–Southern Oscillation on air quality in southern China from long-term historical

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1460-0

Abstract:

•Strong ENSO influence on AOD is found in southern China region.

Keywords: Niño–Southern Oscillation     Aerosol concentration     Aerosol particle size     Contribution separation     Decadal trend    

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 474-480 doi: 10.1007/s11709-007-0064-5

Abstract: The conservation and adaptive-reuse of historical industrial building is one of the most important issuesIn this paper, the necessity and academic meaning of the conservation and adaptive-reuse of historicaland abroad, and the basic contents of the implementation of the conservation and adaptive-reuse of historicalassessment principles and relevant core technical specifications based on the empirical researches on the historical

Keywords: historical industrial     industrial building     implementation     adaptive-reuse     empirical    

Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 6,   Pages 855-869 doi: 10.1007/s11709-023-0972-z

Abstract: Seismic analysis of historical masonry bridges is important for authorities in all countries hosting

Keywords: masonry arch bridges     seismic behavior     modal properties     pulse-like records     nonlinear time history analysis    

ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 448-458 doi: 10.15302/J-FASE-2017172

Abstract: ., specific to point locations) climate data for historical (1901–2015) and future (2011–2100) yearsIt also integrates and downscales the historical and future climate data using a delta approach.The improvements for baseline portions of historical and future were more substantial.

Keywords: biologically relevant climate variables     downscaling     dynamic local regression     future climate     historical    

Impact of historical pattern of human activities and natural environment on wetland in Heilongjiang River

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 12, doi: 10.1007/s11783-023-1751-8

Abstract:

● Wetlands have been fragmented over the last century by environmental changes.

Keywords: Wetland change     Human activities     Climate change     Driving mechanism     Heilongjiang River Basin    

Multidecadal Trends in Large-Scale Annual Mean SATa Based on CMIP5 Historical Simulations and Future

Nan Xing, Jianping Li, Lanning Wang

Engineering 2017, Volume 3, Issue 1,   Pages 136-143 doi: 10.1016/J.ENG.2016.04.011

Abstract: Fifteen models are selected based on their performances in capturing the temporal variability, long-term trend

Keywords: Surface air temperature anomalies (SATa)     Multidecadal trend     Coupled Model Intercomparison Project     Phase    

Innovation and Trend of Gears-Technology

Liang Guiming

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 1-6

Abstract:

The trend of innovation of gears in the coming 50 years will be seeking miniaturization, puification

Keywords: gears     innovation     trend    

Temporal trend of mortality from major cancers in Xuanwei, China

Hualiang Lin,Bofu Ning,Jihua Li,Guangqiang Zhao,Yunchao Huang,Linwei Tian

Frontiers of Medicine 2015, Volume 9, Issue 4,   Pages 487-495 doi: 10.1007/s11684-015-0413-z

Abstract: This study aimed to investigate the temporal trend of eight major cancers in Xuanwei County using datarates for all other types of cancer were lower than those of the national average, but an increasing trendThe temporal trend could be partly explained by changes in risk factors, but it also may be due to theepidemiological studies are warranted to systematically examine the underlying reasons for the temporal trend

Keywords: cancer     mortality     Xuanwei     temporal trend    

towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1476-1491 doi: 10.1007/s11709-020-0670-z

Abstract: The unprecedented liquefaction-related land damage during earthquakes has highlighted the need to develop a model that better interprets the liquefaction land damage vulnerability (LLDV) when determining whether liquefaction is likely to cause damage at the ground’s surface. This paper presents the development of a novel comprehensive framework based on select case history records of cone penetration tests using a Bayesian belief network (BBN) methodology to assess seismic soil liquefaction and liquefaction land damage potentials in one model. The BBN-based LLDV model is developed by integrating multi-related factors of seismic soil liquefaction and its induced hazards using a machine learning (ML) algorithm-K2 and domain knowledge (DK) data fusion methodology. Compared with the C4.5 decision tree-J48 model, naive Bayesian (NB) classifier, and BBN-K2 ML prediction methods in terms of overall accuracy and the Cohen’s kappa coefficient, the proposed BBN K2 and DK model has a better performance and provides a substitutive novel LLDV framework for characterizing the vulnerability of land to liquefaction-induced damage. The proposed model not only predicts quantitatively the seismic soil liquefaction potential and its ground damage potential probability but can also identify the main reasons and fault-finding state combinations, and the results are likely to assist in decisions on seismic risk mitigation measures for sustainable development. The proposed model is simple to perform in practice and provides a step toward a more sophisticated liquefaction risk assessment modeling. This study also interprets the BBN model sensitivity analysis and most probable explanation of seismic soil liquefied sites based on an engineering point of view.

Keywords: Bayesian belief network     liquefaction-induced damage potential     cone penetration test     soil liquefaction     structural learning and domain knowledge    

Corrigendum to “Multidecadal Trends in Large-Scale Annual Mean SATa Based on CMIP5 Historical Simulations Corrigendum

Nan Xing,Jianping Li,Lanning Wang

Engineering 2017, Volume 3, Issue 3,   Pages 428-428 doi: 10.1016/J.ENG.2017.03.015

Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

Meltem SAPLIOGLU; Ayse UNAL; Melek BOCEK

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 515-532 doi: 10.1007/s11709-022-0814-4

Abstract: These data were analysed using the distance-dependent Mann-Kendall trend analysis method and checkerboard

Keywords: trend analysis     checkerboard model     IRI     driver speed    

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: The results indicated there was a significant long-term increasing trend.

Keywords: Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 325-327 doi: 10.1007/s11465-016-0402-1

Abstract:

Manufacturing is the foundation of a nation’s economy. It is the primary industry to promote economic and social development. To accelerate and upgrade China’s manufacturing sector from “precision manufacturing” to “high-performance and high-quality manufacturing”, a new breakthrough should be found in terms of achieving a “leap-frog development”. Unlike conventional manufacturing, the fundamental theory of “Manufacturing 3.0” is beyond the scope of conventional theory; rather, it is based on new principles and theories at the atomic and/or close-to-atomic scale. Obtaining a dominant role at the international level is a strategic move for China’s progress.

Keywords: atomic manufacturing     Manufacturing 3.0     Manufacturing 2025     Industry 4.0    

Title Author Date Type Operation

China’s Agriculture Green Development: from Concept to Actions

Journal Article

Evaluation of the influence of El Niño–Southern Oscillation on air quality in southern China from long-term historical

Journal Article

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Journal Article

Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations

Journal Article

ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Journal Article

Impact of historical pattern of human activities and natural environment on wetland in Heilongjiang River

Journal Article

Multidecadal Trends in Large-Scale Annual Mean SATa Based on CMIP5 Historical Simulations and Future

Nan Xing, Jianping Li, Lanning Wang

Journal Article

Innovation and Trend of Gears-Technology

Liang Guiming

Journal Article

Continuous Efforts to Fulfill the Historical Mission of China’s Industrialization and Modernization

宋健

Journal Article

Temporal trend of mortality from major cancers in Xuanwei, China

Hualiang Lin,Bofu Ning,Jihua Li,Guangqiang Zhao,Yunchao Huang,Linwei Tian

Journal Article

towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Journal Article

Corrigendum to “Multidecadal Trends in Large-Scale Annual Mean SATa Based on CMIP5 Historical Simulations

Nan Xing,Jianping Li,Lanning Wang

Journal Article

Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

Meltem SAPLIOGLU; Ayse UNAL; Melek BOCEK

Journal Article

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Journal Article