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Electric Vehicles Contribute To China's Energy Security And Carbon Peaking And Carbon Neutrality, Jianfeng GUO, Xuemei ZHANG, Qi CAO, Fu GU 2024 Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China

Electric Vehicles Contribute To China's Energy Security And Carbon Peaking And Carbon Neutrality, Jianfeng Guo, Xuemei Zhang, Qi Cao, Fu Gu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The current international situation is complicated and unstable, and China is in the midst of an important economic transition as it deals with the twin concerns of energy security and carbon peaking and carbon neutrality (referred to as dual carbon goals). Although the dual carbon goals aim a strong emphasis on energy security, certain emission reduction strategies will place restrictions on energy security that is directly connected, such as energy supply and grid load, making it challenging to simultaneously fulfill the optimization goal. China now has the task of figuring out how to rationalize and optimize the coordinated promotion of …


The Fuxi Farm: Practice Exploration And Reflection On Integrated Innovation Of Smart Agriculture Technology, Yucheng ZHANG, Xiaobo ZHANG, Shuqin GAO, Congcong ZHENG, Jingyao ZHANG, Ya WEN, Lujun LI, Zhuo WANG, Tie LI, Honglong ZHAO 2024 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

The Fuxi Farm: Practice Exploration And Reflection On Integrated Innovation Of Smart Agriculture Technology, Yucheng Zhang, Xiaobo Zhang, Shuqin Gao, Congcong Zheng, Jingyao Zhang, Ya Wen, Lujun Li, Zhuo Wang, Tie Li, Honglong Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Smart agriculture plays a pivotal role in enhancing food security by optimizing resource use and improving crop yields through the application of AI technologies. The establishment of smart farms is critical to rapidly integrating AI into agricultural production, offering platforms for both the deployment and testing of AI solutions and equipment. This paper examines the development of smart farms, with a focus on practices from developed countries, and assesses the current status of smart farming in China. We then focus on exploring the content, pathways, and practices for constructing a smart agricultural production system in China through the establishment of …


Accelerate Innovation Of Forage Intelligent Breeding Technology: Reflection And Suggestions, Haichun JING, Weijuan HU, Jingbo JIN, Jingyu ZHANG, Yao ZHOU, Yue GONG, Gang YAO, Lei WANG, Kang CHONG 2024 State Key Laboratory of Forage Breeding-by-Design and Utilization, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; Academician Workstation of Agricultural High-tech Industrial Area of the Yellow River Delta, National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, Dongying 257300, China

Accelerate Innovation Of Forage Intelligent Breeding Technology: Reflection And Suggestions, Haichun Jing, Weijuan Hu, Jingbo Jin, Jingyu Zhang, Yao Zhou, Yue Gong, Gang Yao, Lei Wang, Kang Chong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is facing unprecedented changes today, with continuous population growth intensifying the pressure on food demand. The shift towards diversified dietary structures has increased the demand for feed grains, while climate change further threatens China’s food security by affecting agricultural productivity and carbon sequestration economy. At present, China has entered a new era of food supply and feed. As the food supply for animals, forage is the core component of feed, and its industrial development has profound strategic significance for ensuring national food security. This study analyzes the current situation of China’s forage seed industry, summarizes the cutting-edge achievements …


Rapid Soil Detection Technology Aids In Assessing Soil Nutrients In China, Wei WU, Xiaoyong LIAO, Xiaopeng LI, Yuntao WU, Huixian LU, Yucheng ZHANG, Jiabao ZHANG 2024 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China

Rapid Soil Detection Technology Aids In Assessing Soil Nutrients In China, Wei Wu, Xiaoyong Liao, Xiaopeng Li, Yuntao Wu, Huixian Lu, Yucheng Zhang, Jiabao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Soil quality is the core issue for ensuring China’s food security, and soil health is the top priority of soil quality. Comprehensive, rapid and accurate acquisition of soil background data is the prerequisite for achieving homogeneous soil management and formulating balanced fertilization strategies, which will play a key role in improving non-point source pollution caused by unreasonable fertilization and achieving balanced grain yield increase. This study reviews rapid soil testing methods both domestically and internationally. Based on previous research, it proposes a technical approach to rapidly detect soil nutrient concentrations by calculating the gamma quanta released during the decay of …


Hillside Agricultural Machinery And Agricultural Intelligence Driven By New Technologies, Hong QIAO, Yanfeng LYU, Enhao ZHENG 2024 Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Hillside Agricultural Machinery And Agricultural Intelligence Driven By New Technologies, Hong Qiao, Yanfeng Lyu, Enhao Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Hilly and mountainous areas play a crucial role in China’s agricultural production. However, the low level of comprehensive mechanization for crop cultivation, planting, and harvesting in these regions severely hampers the modernization of agriculture. The complex terrain and diverse cropping patterns in hilly areas necessitate the development of specialized agricultural machinery and robots tailored to these unique landscapes. To advance this process, the Chinese government has introduced a series of policies in recent years to support the research and development of agricultural machinery for hilly regions, providing strong backing for the advancement of agricultural technology in these areas. Against this …


Artificial Intelligence Innovation For Smart Plant Factory To Diversify Its Big Food Production Functions, Huaqin GONG, Haichun JING, Xin TAN, Xianhui WANG, Yucheng ZHANG, Rongcheng LIN, Mingyu YANG, Shuang LIN, Hualing XIE, Yanping YANG, Shitang YE, Peng LI, Tingyun KUANG 2024 Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

Artificial Intelligence Innovation For Smart Plant Factory To Diversify Its Big Food Production Functions, Huaqin Gong, Haichun Jing, Xin Tan, Xianhui Wang, Yucheng Zhang, Rongcheng Lin, Mingyu Yang, Shuang Lin, Hualing Xie, Yanping Yang, Shitang Ye, Peng Li, Tingyun Kuang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China’s food security is facing more and more severe and complex challenges, such as tight balance between food demand and supply, the upgrading of consumption structure, and resource constraints. The plant factory is an advanced scenario in agricultural production, a diversified food production system that gets rid of the constraints of “ask for food from the mother nature” and respond to disasters and wars, and is oriented to space. Nevertheless, the high cost greatly limits the application and development of plant factories. The rapid development of artificial intelligence will bring new opportunities for the innovative development and expansion of plant …


Development Of An Empirical Ground-Motion Model For Post-Mining Induced Seismicity Near Gardanne, France, Pierre Gehl, Pascal Dominique, Hideo Aochi, Mickael Delatre, Jannes Kinscher, Isabelle Contrucci 2024 Risks and Prevention Division, BRGM, Orléans, France

Development Of An Empirical Ground-Motion Model For Post-Mining Induced Seismicity Near Gardanne, France, Pierre Gehl, Pascal Dominique, Hideo Aochi, Mickael Delatre, Jannes Kinscher, Isabelle Contrucci

Journal of Sustainable Mining

Since the closure of mining activities in 2003, the coal basin of Gardanne in South-East France has experienced thousands of small-magnitude earthquake events, mostly triggered by the flooding of mine workings. Some of these events have been powerful enough to be strongly felt by the population, generating nuisance and concern about potential damage to buildings. The aim of this study is to improve the characterisation of the level of ground motion at the surface, by developing a ground-motion model for post-mining induced seismicity, based on several years of recorded data. A Bayesian-based method is applied to the data in order …


Hydraulic Borehole Mining (Hbm) Technology Employed In Lignite Mining – Technical, Economic And Market Aspects, Bartłomiej Jura, Piotr Krawczyk, Jacek Skiba, Natalia Howaniec 2024 Central Mining Institute, Department of Mining Aerology, Katowice, Poland,

Hydraulic Borehole Mining (Hbm) Technology Employed In Lignite Mining – Technical, Economic And Market Aspects, Bartłomiej Jura, Piotr Krawczyk, Jacek Skiba, Natalia Howaniec

Journal of Sustainable Mining

The results of a cost-effectiveness and economic efficiency assessment of the Hydraulic Borehole Mining (HBM) technology applied to lignite mining are presented. The Dynamic Generation Cost, the Net Present Value, and the Internal Rate of Return were calculated for the extraction of lignite at a rate of about 3.44 million Mg/year from a mining parcel of 1 2.5 km, taking into account CAPEX and OPEX. The cost of mining 1 Mg of lignite using the HBM technology was reported to be lower than its market prices before the energy crisis in Europe caused by the war in Ukraine. The values …


Predicting Open-Pit Mine Production Using Machine Learning Techniques, Faustin Nartey Kumah, Alex Kwasi Saim, Millicent Nkrumah Oppong, Clement Kweku Arthur 2024 Department of Mineral Engineering, New Mexico Institute of Mining and Technology, Socorro, New Mexico, USA

Predicting Open-Pit Mine Production Using Machine Learning Techniques, Faustin Nartey Kumah, Alex Kwasi Saim, Millicent Nkrumah Oppong, Clement Kweku Arthur

Journal of Sustainable Mining

In mining, where production is affected by several factors, including equipment availability, it is necessary to develop reliable models to accurately predict mine production to improve operational efficiency. Hence, in this study, four (4) machine learning algorithms – namely: artificial neural network (ANN), random forest (RF), gradient boosting regression (GBR) and decision tree (DT)) – were implemented to predict mine production. Multiple Linear Regression (MLR) analysis was used as a baseline study for comparison purposes. In that regard, one hundred and twenty-six (126) datasets from an open-pit gold mine were used. The developed models were evaluated and compared using the …


Identification Of Strong Tremor Causes For Appropriate Rock Burst Prevention In A Hard Coal Mine, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska 2024 Polish Mining Group, Ruda Hard Coal Mine, Poland

Identification Of Strong Tremor Causes For Appropriate Rock Burst Prevention In A Hard Coal Mine, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska

Journal of Sustainable Mining

The exploitation carried out in the Bielszowice part of the Ruda Hard Coal Mine is mainly accompanied by seismic and rock burst hazards. The occurrence of high-energy tremors may be associated with many factors, e.g., fracturing of thick layers of high-strength rocks or destruction processes of a stressed and/or thick coal seam. These factors are often combined when excavating a single longwall panel. Determining the causes of strong tremors is of fundamental importance for mining and rock burst prevention. The extraction of the 004z longwall panel in the top layer of coal seam No. 504 was designed in complex geological …


Sustainability Considerations Of Generative A.I., Thomas Pantazes 2024 West Chester University of Pennsylvania

Sustainability Considerations Of Generative A.I., Thomas Pantazes

Sustainability Research & Practice Seminar Presentations

Dr. Thomas Pantazes of the WCU Teaching and Learning Center shares Sustainability Considerations of Generative A.I.


More Than Just A Funky Smell: Fungal Volatiles Have Physiological Consequences, Joan Bennett 2024 Rutgers University

More Than Just A Funky Smell: Fungal Volatiles Have Physiological Consequences, Joan Bennett

Sustainability Seminar Series

Volatile organic compounds (VOCs) are low molecular weight molecules that easily evaporate at room temperature. Fungal VOCs are responsible for the musty odors we associate with damp indoor environments. It has been hypothesized that they contribute to “sick building syndrome.” The Bennett lab has developed several genetic model systems to test the toxicity of fungal VOCs and found that VOCs have a range of unexpected biological functions.


A Quick And Cost-Effective Method For Monitoring Deforestation Of Oil Sands Mining Activities Using Synthetic Aperture Radar And Multispectral Real-Time Satellite Data From Sentinel-1 And Sentinel-2., J Garcia del Real, M. Alcaraz 2024 Polytechnic University of Cartagena, Mining and Civil Engineering, Cartagena - Spain

A Quick And Cost-Effective Method For Monitoring Deforestation Of Oil Sands Mining Activities Using Synthetic Aperture Radar And Multispectral Real-Time Satellite Data From Sentinel-1 And Sentinel-2., J Garcia Del Real, M. Alcaraz

Journal of Sustainable Mining

Alberta’s oil sands mining operations rank among the largest human-made structures globally. Monitoring through the use of Synthetic Aperture Radar (SAR) and Multispectral satellite imaging is an indispensable strategy in attaining sustainable development and mitigating deforestation in the third-largest verified oil reserves worldwide. This paper introduces a novel approach for cost-effective and reliable monitoring of deforestation caused by oil sands mining, avoiding cumbersome methods. It focuses on observing forest/non-forest areas affected by Suncor Energy Company’s mining assets in Alberta, using a combination of SAR and Multispectral satellite remote sensing. Radar images from Sentinel-1B and Multispectral images from Sentinel-2A were analyzed …


The Role Of Muslim Women In Nigeria’S Socioeconomic Development Through The Implementation Of The United Nations Sustainable Development Goals, Faqiat Afolake Adeaga 2024 University of South Florida

The Role Of Muslim Women In Nigeria’S Socioeconomic Development Through The Implementation Of The United Nations Sustainable Development Goals, Faqiat Afolake Adeaga

USF Tampa Graduate Theses and Dissertations

This research explores the often underestimated yet pivotal role of Muslim women in propelling socio-economic development in Nigeria, specifically focusing on the implementation of the United Nations Sustainable Development Goals (SDGs). The primary research question seeks to comprehend the transformative impact of faith-based women-led NGOs, including Ansar-ud- Deen, Nawair-ud-Deen, FOMWAN, and NASFAT, on Muslim women's empowerment and their contribution to SDG1 (extreme poverty), SDG3 (health), SDG4 (education), and SDG5 (gender equality) in Nigeria. Simultaneously, the secondary research question explores successful strategies employed by these organizations in empowering Muslim women, with a keen focus on potential areas for improvement. Incorporating research …


Analysis Of The Impact Of Water Treatment By Liming Sedimentation And Dredging On The Content Of Heavy Metals In Fish Intended For Consumption, Asfie Maidie, Ismail Fahmy Almadi, Muchlis Efendi, Rekha Yusdha Nilawardhani, Komsanah Sukarti, Henny Pagoray 2024 Mulawarman University, Dept. Aquaculture, Indonesia

Analysis Of The Impact Of Water Treatment By Liming Sedimentation And Dredging On The Content Of Heavy Metals In Fish Intended For Consumption, Asfie Maidie, Ismail Fahmy Almadi, Muchlis Efendi, Rekha Yusdha Nilawardhani, Komsanah Sukarti, Henny Pagoray

Journal of Sustainable Mining

The present study sought to determine the presence of metals and arsenic, a metalloid, among the fish of a coal mine reservoir, where the water was treated regularly through liming sedimentation combined with dredging, and the fish living in an adjoining river. The potential hazard of metals in fish as human food was analyzed. Except for selenium (an important metal to the human body), which was higher among the river fish than in the reservoir fish (P < 0.01), there were no particular patterns of other studied metals found in either habitat (P > 0.05), and apparently not related to the fish family that consumed by local people. Measurements of bioaccumulation factor (BAF) yielded scattered values from …


Agricultural Groundcover Update January 2024, Justin Laycock 2024 Department of Primary Industries and Regional Development, Western Australia

Agricultural Groundcover Update January 2024, Justin Laycock

Natural resources published reports

Summary

  • About 94% of the grainbelt had adequate (more than 50%) vegetative groundcover to prevent wind erosion in January 2024.
  • In the northern half of the grainbelt, a larger-than-average area has 51–60% groundcover, which is expected to decrease to below 50% over the coming months.
  • Just under 6% of the grainbelt (855,000 ha) had less than 50% groundcover, which is inadequate to prevent wind erosion. West Midlands Ag Soil Zone had the highest risk of wind erosion and 14.5% of this farmland had inadequate groundcover.
  • Less than 0.5% of the grainbelt had a high to very high risk of wind …


Trees In Urban Environments: How Soil Quality Impacts Tree Performance, Saidan Qi 2024 CUNY Graduate Center

Trees In Urban Environments: How Soil Quality Impacts Tree Performance, Saidan Qi

Dissertations, Theses, and Capstone Projects

Cities around the world are increasingly investing in reforestation and afforestation efforts to mitigate impacts from climate change and population growth. However, urban soil conditions can be unfavorable for tree growth. Street trees are widely known to suffer from poor soil quality, but there has been no comprehensive review of this topic so far. Clean soils can be transported from nonurban areas to support cities’ green projects, but this approach is not sustainable. Artificial (constructed) soils can be created from various materials and have been proposed as an alternative medium for urban tree growth, but no research has been done …


Examining The Health Risks Of Particulate Matter 2.5 In New York City: How It Affects Marginalized Groups And The Steps Needed To Reduce Air Pollution, Freddy Castro 2024 CUNY Graduate Center

Examining The Health Risks Of Particulate Matter 2.5 In New York City: How It Affects Marginalized Groups And The Steps Needed To Reduce Air Pollution, Freddy Castro

Dissertations, Theses, and Capstone Projects

The following examines the impact of particulate matter 2.5 (PM2.5) on public health, focusing on its sources and effects on vulnerable populations in New York City. PM2.5 is a particle that is 2.5 micrometers or less in diameter and, because of its size, can enter the bloodstream affecting the respiratory and cardiovascular systems and further complicating the health of the immunocompromised. Recent studies have shown that PM2.5 can come from various sources, including transportation and industrial emissions, as well as indoor sources like cigarettes and gas-operated stoves. Despite reduced levels of PM2.5 due to recent policy changes and initiatives taken …


Investigating The Mass Mortality Induced Factors Of Pearl Oyster (Pinctada Radiata) At Abu Dhabi Pearls Farm, Uae, Hamad Ahmed Almansoori 2024 United Arab Emirates University

Investigating The Mass Mortality Induced Factors Of Pearl Oyster (Pinctada Radiata) At Abu Dhabi Pearls Farm, Uae, Hamad Ahmed Almansoori

Theses

The aquaculture of shellfish plays a crucial role in enhancing maritime environments by mitigating algal blooms and improving water quality through the filtration of organic matter, nutrients, and bacteria. This study investigated the environmental factors influencing oyster (Pinctada radiata) mortalities through a comprehensive analysis of water quality in Al Mirfa and Al Mughirah farming sites of Abu Dhabi (UAE), from February 2021 to February 2022. To reach such understanding of the main factors led to mass mortalities of cultivated oysters, different monthly sampling and both chemical and biological analyses of the farm water, sediments as well as for both living …


Rewilding Our Story: Using Storytelling To Combat Climate Change, Calli Lambard 2024 West Chester University of Pennsylvania

Rewilding Our Story: Using Storytelling To Combat Climate Change, Calli Lambard

Sustainability Research & Practice Seminar Presentations

Calli Lambard, WCU Office of Sustainability, Rewilding Our Story: Using Storytelling to Combat Climate Change


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