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Park M, Britton D, Daley W, McMurray G, Navaei M, Samoylov A, Usher C, Xu J. Artificial intelligence, sensors, robots, and transportation systems drive an innovative future for poultry broiler and breeder management. Anim Front 2022; 12:40-48. [PMID: 35505844 PMCID: PMC9056034 DOI: 10.1093/af/vfac001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Affiliation(s)
- Michael Park
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Douglas Britton
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Wayne Daley
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Gary McMurray
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Milad Navaei
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Alex Samoylov
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Colin Usher
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
| | - Jie Xu
- Intelligent Sustainable Technologies Division, Aerospace, Transportation, and Advanced Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA 30318, USA
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Zhang G, Li H, He R, Lu P. Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions. COMPLEX INTELL SYST 2022; 8:1369-1387. [PMID: 34934610 PMCID: PMC8677927 DOI: 10.1007/s40747-021-00595-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 10/21/2021] [Indexed: 11/26/2022]
Abstract
The outbreak of COVID-19 has greatly threatened global public health and produced social problems, which includes relative online collective actions. Based on the life cycle law, focusing on the life cycle process of COVID-19 online collective actions, we carried out both macro-level analysis (big data mining) and micro-level behaviors (Agent-Based Modeling) on pandemic-related online collective actions. We collected 138 related online events with macro-level big data characteristics, and used Agent-Based Modeling to capture micro-level individual behaviors of netizens. We set two kinds of movable agents, Hots (events) and Netizens (individuals), which behave smartly and autonomously. Based on multiple simulations and parametric traversal, we obtained the optimal parameter solution. Under the optimal solutions, we repeated simulations by ten times, and took the mean values as robust outcomes. Simulation outcomes well match the real big data of life cycle trends, and validity and robustness can be achieved. According to multiple criteria (spans, peaks, ratios, and distributions), the fitness between simulations and real big data has been substantially supported. Therefore, our Agent-Based Modeling well grasps the micro-level mechanisms of real-world individuals (netizens), based on which we can predict individual behaviors of netizens and big data trends of specific online events. Based on our model, it is feasible to model, calculate, and even predict evolutionary dynamics and life cycles trends of online collective actions. It facilitates public administrations and social governance.
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Affiliation(s)
- Gang Zhang
- School of Economics and Management, Shaanxi University
of Science and Technology, Xi’an, China
| | - Hao Li
- School of Economics and Management, Shaanxi University
of Science and Technology, Xi’an, China
| | - Rong He
- School of Economics and Management, Shaanxi University
of Science and Technology, Xi’an, China
| | - Peng Lu
- School of Economics and Management, Xinjiang University, Xinjiang, China
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Du X, Gu LP, Wang TT, Kou HJ, Sun Y. The relationship between the molecular composition of dissolved organic matter and bioavailability of digestate during anaerobic digestion process: Characteristics, transformation and the key molecular interval. BIORESOURCE TECHNOLOGY 2021; 342:125958. [PMID: 34560433 DOI: 10.1016/j.biortech.2021.125958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/12/2021] [Accepted: 09/13/2021] [Indexed: 06/13/2023]
Abstract
In this study, swine wastewater (SW) and cow wastewater (CW) were used for anaerobic digestion (AD). We found the bioavailability of dissolved organic matter (DOM) was affected by the molecular weight ranges and molecular composition during the AD process. The organic substance in the small molecular range (0-5 kDa) accumulated due to a larger molecular fraction (>10 kDa) degradation, which enhanced the bioavailability of the DOM. Moreover, based on the excitation emission matrix-parallel factor (EEM-PARAFAC) analysis, the protein-like component in 0-5 kDa molecular size and humic-like component over 5 kDa are significantly positively correlated with DOM bioavailability. This study indicated that increasing the hydrolysis of larger organic matter and humification degree of molecular weights>5 kDa are critical solutions to improving the bioavailability of DOM. These conclusions can help explain the molecular mechanisms of DOM transformation and the AD process of livestock wastewater.
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Affiliation(s)
- Xian Du
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, PR China
| | - Li-Peng Gu
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, PR China
| | - Ting-Ting Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, PR China
| | - Hui-Juan Kou
- Ulanqab animal husbandry station of Inner Mongolia Autonomous Region, Inner Mongolia 012000, PR China
| | - Ying Sun
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, PR China.
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Wang J, Okopi SI, Ma H, Wang M, Chen R, Tian W, Xu F. Life cycle assessment of the integration of anaerobic digestion and pyrolysis for treatment of municipal solid waste. BIORESOURCE TECHNOLOGY 2021; 338:125486. [PMID: 34273626 DOI: 10.1016/j.biortech.2021.125486] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/27/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
The integration of anaerobic digestion (AD) and pyrolysis (Py) could be a solution to economically utilize the organic fraction of municipal solid waste (OFMSW). However, it is not clear whether the environmental impact of the integrated pathway always outperforms the two single technologies. In this study, two integrated pathways (AD-Py, Py-AD) were compared with single AD and Py from the life cycle environmental impacts point of view. The results indicate that the environmental impacts of the four pathways are heavily dependent on their energy inputs and outputs. AD-Py is more environmentally friendly (-11.53 of total environmental impact /kg OFMSW) than single AD or Py. Py-AD exhibites the heaviest environmental burden (2.75 of total environmental impact /kg OFMSW) in all pathways. Therefore, AD-Py can be the top priority of treating OFMSW among the four pathways from the environmental viewpoint. This work could provide a theoretical support for the utilization of OFMSW.
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Affiliation(s)
- Junqi Wang
- Loess Plateau Eco-environment Restoration & Livable Villages Research Center, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Solomon Inalegwu Okopi
- Loess Plateau Eco-environment Restoration & Livable Villages Research Center, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Haoxiang Ma
- Deep Sea Engineering Division, Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
| | - Miao Wang
- Loess Plateau Eco-environment Restoration & Livable Villages Research Center, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Rui Chen
- Loess Plateau Eco-environment Restoration & Livable Villages Research Center, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Wangyang Tian
- Zhejiang Eco Environmental Technology Co. LTD, Huzhou 313000, China
| | - Fuqing Xu
- Loess Plateau Eco-environment Restoration & Livable Villages Research Center, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
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Sustainable Agri-Food Processes and Circular Economy Pathways in a Life Cycle Perspective: State of the Art of Applicative Research. SUSTAINABILITY 2021. [DOI: 10.3390/su13052472] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This study aims at providing a systematic and critical review on the state of the art of life cycle applications from the circular economy point of view. In particular, the main objective is to understand how researchers adopt life cycle approaches for the measurement of the empirical circular pathways of agri-food systems along with the overall lifespan. To perform the literature review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was considered to conduct a review by qualitative synthesis. Specifically, an evaluation matrix has been set up to gather and synthesize research evidence, by classifying papers according to several integrated criteria. The literature search was carried out employing scientific databases. The findings highlight that 52 case studies out of 84 (62% of the total) use stand-alone life cycle assessment (LCA) to evaluate the benefits/impacts of circular economy (CE) strategies. In contrast, only eight studies (9.5%) deal with the life cycle costing (LCC) approach combined with other analyses while no paper deals with the social life cycle assessment (S-LCA) methodology. Global warming potential, eutrophication (for marine, freshwater, and terrestrial ecosystems), human toxicity, and ecotoxicity results are the most common LCA indicators applied. Only a few articles deal with the CE assessment through specific indicators. We argue that experts in life cycle methodologies must strive to adopt some key elements to ensure that the results obtained fit perfectly with the measurements of circularity and that these can even be largely based on a common basis.
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An Investigation of the Potential Adoption of Anaerobic Digestion for Energy Production in Irish Farms. ENVIRONMENTS 2021. [DOI: 10.3390/environments8020008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Anaerobic digestion (AD) has been recognised as an effective means of simultaneously producing energy while reducing greenhouse gas (GHG) emissions. Despite having a large agriculture sector, Ireland has experienced little uptake of the technology, ranking 20th within the EU-28. It is, therefore, necessary to understand the general opinions, willingness to adopt, and perceived obstacles of potential adopters of the technology. As likely primary users of this technology, a survey of Irish cattle farmers was conducted to assess the potential of on-farm AD for energy production in Ireland. The study seeks to understand farmers’ motivations, perceived barriers, and preferred business model. The study found that approximately 41% of the 91 respondents were interested in installing AD on their farming enterprise within the next five years. These Likely Adopters tended to have a higher level of education attainment, and together, currently hold 4379 cattle, potentially providing 37,122 t year−1 of wastes as feedstock, resulting in a potential CO2 reduction of 800.65 t CO2-eq. year−1. Moreover, the results indicated that the primary consideration preventing the implementation of AD is a lack of information regarding the technology and high investment costs. Of the Likely Adopters and Possible Adopters, a self-owned and operated plant was the preferred ownership structure, while 58% expressed an interest in joining a co-operative scheme. The findings generated provide valuable insights into the willingness of farmers to implement AD and guidance for its potential widespread adoption.
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