Environmental and Resource Security

2017 ◽  
pp. 300-331
Author(s):  
Michael E. Smith
Keyword(s):  
Author(s):  
Mathis Wackernagel ◽  
Laurel Hanscom ◽  
Priyangi Jayasinghe ◽  
David Lin ◽  
Adeline Murthy ◽  
...  

Author(s):  
Ashley Hazel ◽  
Gillian Meeks ◽  
Nita Bharti ◽  
John Jakurama ◽  
Justy Matundu ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liying Liu

AbstractThis paper presents the assessment of water resource security in the Guizhou karst area, China. A mean impact value and back-propagation (MIV-BP) neural network was used to understand the influencing factors. Thirty-one indices involving five aspects, the water quality subsystem, water quantity subsystem, engineering water shortage subsystem, water resource vulnerability subsystem, and water resource carrying capacity subsystem, were selected to establish an evaluation index of water resource security. In addition, a genetic algorithm and back-propagation (GA-BP) neural network was constructed to assess the water resource security of Guizhou Province from 2001 to 2015. The results show that water resource security in Guizhou was at a moderate warning level from 2001 to 2006 and a critical safety level from 2007 to 2015, except in 2011 when a moderate warning level was reached. For protection and management of water resources in a karst area, the modes of development and utilization of water resources must be thoroughly understood, along with the impact of engineering water shortage. These results are a meaningful contribution to regional ecological restoration and socio-economic development and can promote better practices for future planning.


2019 ◽  
Vol 11 (22) ◽  
pp. 6463 ◽  
Author(s):  
Li ◽  
Yin ◽  
Zhang ◽  
Croke ◽  
Guo ◽  
...  

The Beijing-Tianjin-Hebei (Jingjinji) region is the most densely populated region in China and suffers from severe water resource shortage, with considerable water-related issues emerging under a changing context such as construction of water diversion projects (WDP), regional synergistic development, and climate change. To this end, this paper develops a framework to examine the water resource security for 200 counties in the Jingjinji region under these changes. Thus, county-level water resource security is assessed in terms of the long-term annual mean and selected typical years (i.e., dry, normal, and wet years), with and without the WDP, and under the current and projected future (i.e., regional synergistic development and climate change). The outcomes of such scenarios are assessed based on two water-crowding indicators, two use-to-availability indicators, and one composite indicator. Results indicate first that the water resources are distributed unevenly, relatively more abundant in the northeastern counties and extremely limited in the other counties. The water resources are very limited at the regional level, with the water availability per capita and per unit gross domestic product (GDP) being only 279/290 m3 and 46/18 m3 in the current and projected future scenarios, respectively, even when considering the WDP. Second, the population carrying capacity is currently the dominant influence, while economic development will be the controlling factor in the future for most middle and southern counties. This suggests that significant improvement in water-saving technologies, vigorous replacement of industries from high to low water consumption, as well as water from other supplies for large-scale applications are greatly needed. Third, the research identifies those counties most at risk to water scarcity and shows that most of them can be greatly relieved after supplementation by the planned WDP. Finally, more attention should be paid to the southern counties because their water resources are not only limited but also much more sensitive and vulnerable to climate change. This work should benefit water resource management and allocation decisions in the Jingjinji region, and the proposed assessment framework can be applied to other similar problems.


Author(s):  
Xiaoyun Liu ◽  
Wu He ◽  
Li Xu ◽  
Gongjun Yan

AbstractCloud manufacturing has recently become a hot research topic in the manufacturing industry. One of the key bottlenecks that hinders the development and application of cloud manufacturing is security. As the adoption and use of manufacturing cloud depends on its security mechanism to a large extent, we propose a new resource security method to enhance the security of cloud manufacturing services by providing resources exclusive access to cloud virtual machine and restricting cloud access from unauthorized users. To enable authorized users in the right location, right time and right network to access resources, a GeoAuthentication model that maps geographic location, access time, and subnetwork information into a secret key is proposed. We also propose conflict firewall in manufacturing cloud to separate users with conflict of interest.


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