Establishment of an integrated decision-making method for planning the ecological restoration of terrestrial ecosystems

2020 ◽  
Vol 741 ◽  
pp. 139852
Author(s):  
Kai Guo ◽  
Xinchang Zhang ◽  
Jiamin Liu ◽  
Zhifeng Wu ◽  
Min Chen ◽  
...  
Keyword(s):  
Decision Making ◽  
Ecological Restoration ◽  
Terrestrial Ecosystems ◽  
Integrated Decision Making

Integrated decision-making for line loss online calculation and management based on situation awareness visualization

2021 ◽  
Author(s):  
Li Yao ◽  
Linna Ni ◽  
Huanlei Yu ◽  
Qi Ding ◽  
Jianmin Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Situation Awareness ◽  
Integrated Decision Making ◽  
Line Loss

scholarly journals An integrated decision-making method for selecting machine tool guideways considering remanufacturability

2018 ◽  
Vol 33 (7) ◽  
pp. 686-700 ◽  
Author(s):  
Zhouyang Ding ◽  
Zhigang Jiang ◽  
Hua Zhang ◽  
Wei Cai ◽  
Ying Liu
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Integrated Decision Making

scholarly journals Is the Change of Soil Carbon Capacity Persistence Rising or Remain Stable With Maturity of Vegetation Restoration?

2021 ◽  
Vol 1 ◽  
Author(s):  
Qian Liu ◽  
Peipei Wang ◽  
Zhijing Xue ◽  
Zhengchao Zhou ◽  
Jun'e Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Carbon ◽  
Ecological Restoration ◽  
Carbon Sink ◽  
Early Stage ◽  
Terrestrial Ecosystems ◽  
Vegetation Restoration ◽  
Land Use Types ◽  
Soc Stock

Emerging consensus is that land-use change resulting through the “Grain for Green” project has had a significant impacted on soil organic carbon (SOC), thereby probably enhancing the carbon sequestration capacity of terrestrial ecosystems. However, it remains largely unknown whether a watershed acts as a source or sink of soil carbon during the later period of ecological restoration. This study comprehensively investigated the changes of SOC stock in 2005, 2010, and 2017 along different land-use types. It was aimed to evaluate the dynamics to SOC storage capacity over different vegetation restoration maturity in the Shanghuang Watershed, China. The results showed that restoration increased the accumulation of organic carbon pools in the early stage. Significant increases in SOC stock were observed in shrubland and grassland in comparison to that in other land uses, and these two land-use types represented the optimal combination for ecological restoration in the basin. The SOC stock did not increase indefinitely during the long-term vegetation restoration process, but rather first increased rapidly with vegetation planting and reached a peak, following which it declined slightly. Therefore, pure vegetation restoration cannot maintain a permanent soil carbon sink, some measures to maintain the stability of carbon and to prolong soil C persistence are essential to take.

Integrated Decision Making in Electric Vehicle and Charging Station Location Network Design

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Namwoo Kang ◽  
Fred M. Feinberg ◽  
Panos Y. Papalambros
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Multidisciplinary Optimization ◽  
Time Range ◽  
Market Demand ◽  
Sequential Decision ◽  
Major Barrier ◽  
Charging Station ◽  
Range Anxiety ◽  
Integrated Decision Making

A major barrier in consumer adoption of electric vehicles (EVs) is “range anxiety,” the concern that the vehicle will run out of power at an inopportune time. Range anxiety is caused by the current relatively low electric-only operational range and sparse public charging station (CS) infrastructure. Range anxiety may be significantly mitigated if EV manufacturers and CS operators work in partnership using a cooperative business model to balance EV performance and CS coverage. This model is in contrast to a sequential decision-making model where manufacturers bring new EVs to the market first and CS operators decide on CS deployment given EV specifications and market demand. This paper proposes an integrated decision-making framework to assess profitability of a cooperative business model using a multidisciplinary optimization model that combines marketing, engineering, and operations considerations. This model is demonstrated in a case study involving battery EV design and direct current (DC) fast-CS location network in Southeast Michigan. The expected benefits can motive both government and private enterprise actions.

scholarly journals Integrated decision-making model for community-based rehabilitation service utilisation among persons with severe mental illness in China: protocol for a cross-sectional, mixed-methods study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e021528 ◽  
Author(s):  
Ruoxi Wang ◽  
Shangfeng Tang ◽  
Ian Shaw ◽  
Zhanchun Feng ◽  
Zhuo Chen ◽  
...  
Keyword(s):  
Decision Making ◽  
Mental Illness ◽  
Mixed Methods ◽  
Mixed Methods Study ◽  
Service Utilisation ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Rehabilitation ◽  
Integrated Decision Making ◽  
Different Levels

IntroductionA common problem low-income and middle-income countries face is the scarcity of community-based rehabilitation (CBR) resources and low service utilisation among persons with severe mental illness (SMI). Despite this problem, the factors and pathways followed influencing one’s decision on service utilisation in China have not been fully comprehended. This study aims to develop a theory-based model that systematically describes the integrated decision-making process of mental health CBR utilisation among persons with SMI in China.Methods/DesignThis cross-sectional, mixed-methods study involves three main stages and is expected to last 3 years, from January 2018 to December 2020. In stage 1, the Social Exchange Theory is deployed as an analytical framework to comprehensively capture factors associated with tendency to use CBR services in China using semistructured interview methodology involving patients with SMI, their primary caregivers and CBR service providers. In stage 2, interpretive structural modelling will be applied to analyse the relationships between factors in different dimensions, at different levels and with different levels of impact. Stage 3 involves a multiregion survey among at least 300 family decision-makers (either the patient or their caregivers) in six communities in three cities to statistically validate the initial model derived in stage 2 using a further structural equation modelling.Ethics and disseminationEthical approval was granted by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (No 2017S319). All interviewees will be provided with written information about the study, and a signed consent will be retrieved prior to the interview. Rules on confidentiality and anonymity of data will be strictly followed. The findings of this study will be disseminated via international and domestic peer-reviewed journals, reports, conference presentations and symposium discussions. Reports will be submitted to the National Natural Science Foundation of China.

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