《Integrating ecosystem services conservation into the optimization of urban planning policies in eco-fragile areas: A scenario-based case study》
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- 作者
- Zhonghao Zhang;Zhen Shen;Lulu Liu;Yusi Zhang;Chaoyue Yu;Lihan Cui;Yang Gao
- 来源
- CITIES,Vol.135,Issue1,Article 104200
- 语言
- 英文
- 关键字
- 作者单位
- School of Environmental and Geographical Sciences & Wetlands Ecosystem Observation and Research Field Station, Shanghai Normal University, Shanghai 200234, China;College of Land Science and Technology, China Agricultural University, Beijing 100193, China;China Academy of Urban Planning and Design Western Branch, Chongqing 401121, China;School of Environmental and Geographical Sciences & Wetlands Ecosystem Observation and Research Field Station, Shanghai Normal University, Shanghai 200234, China;College of Land Science and Technology, China Agricultural University, Beijing 100193, China;China Academy of Urban Planning and Design Western Branch, Chongqing 401121, China;University of Agder, Jon Lilletuns vei 9, 4879 Grimstad, Norway;Oslo Metropolitan University, Pilestredet 46, 0167 Oslo, Norway;Aalborg University, Thomas Manns Vej 23, 9220 Aalborg Ø, Denmark;SRM Institute of Science and Technology, NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, Uttar Pradesh, India;College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;Department of Civil Engineering, Najran University, Najran, Saudi Arabia;College of Engineering and Technology, American University of the Middle East, Kuwait;Department of Civil Engineering, Jouf University, Al-Jauf, Saudi Arabia;Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, 22060 Abbottabad, Pakistan;Department of Civil Engineering, King Khalid University, Abha 61421, Saudi Arabia;The Department of Architecture, University of Engineering and Technology Peshawar, Abbottabad Campus, Pakistan;Case study"}]},{"#name":"title","$":{"id":"tit0005"},"_":"Bim-based energy analysis and optimization using insight 360 (case study)"}],"floats":[],"footnotes":[],"attachments":[]},"openArchive":false,"openAccess":true,"document-subtype":"fla","content-family":"serial","contentType":"JL","abstract":{"$$":[{"$$":[{"$":{"id":"sect0005"},"#name":"section-title","_":"Abstract"},{"$$":[{"$":{"view":"all","id":"sp0195"},"#name":"simple-para","_":"Building information modeling (BIM) is a modern data information platform and management tool that promotes the development of green buildings. In Pakistan, the building sector consumes more than 50 % of total energy consumption and it is growing at annual rates of 4.7 % and 2.5 % in household and commercial sectors, respectively. The energy problem is the biggest single economic drag on Pakistan, the Pakistan BIM Council (PBC) is attempting to implement BIM adoption in the construction industry. Using Autodesk Insight 360 and Green Building Studio, an energy analysis and optimization case study of A-Block COMSATS Abbottabad, Pakistan is chosen. This study explores the energy performance of an academic building as a case study in order to optimize energy use by rotating the building 360 degrees at 45-degree intervals and utilizing BIM to install energy-efficient construction materials. Existing academic buildings have lower energy use and annual cost savings. The annual energy and financial savings are 585.10 kWh and 550 $, respectively. Applying factors to energy analysis can result in improved conceptual design with good environmental effectiveness, thus assisting in the pursuit of environmental sustainability."}],"$":{"view":"all","id":"abs0010"},"#name":"abstract-sec"}],"$":{"view":"all","id":"ab0010","class":"author"},"#name":"abstract"}],"$":{"xmlns:ce":true,"xmlns:dm":true,"xmlns:sb":true},"#name":"abstracts"},"pdf":{"urlType":"download","url":"/science/article/pii/S2214509522008877/pdfft?md5=44e1516da13b1f0fbc19ff3632290945&pid=1-s2.0-S2214509522008877-main.pdf"},"iss-first":"","vol-first":"18","isThirdParty":false,"issn-primary-unformatted":"22145095","issn-primary-formatted":"2214-5095"},{"pii":"S1092913422001897","doi":"10.1016/j.anndiagpath.2022.152087","journalTitle":"Annals of Diagnostic Pathology","publicationYear":"2023","publicationDate":"2023-04-01","volumeSupText":"Volume 63","articleNumber":"152087","pageRange":"152087","trace-token":"AAAAQI9YNX3yg4OQGcP-y-vy0nfxCSTVY_8WcnjkV9XdVPUTQXv7oj92-ixcQ443u0ZSOdaV8g9SfIBtF7Dd5q1dZQtDA1RbpZwq1HpvK5n2o6QSTwbA8A","authors":{"content":[{"#name":"author-group","$":{"id":"ag0005"},"$$":[{"#name":"author","$":{"id":"au0005","author-id":"S1092913422001897-e5ae73775e2a775bdd2616a65e985b50"},"$$":[{"#name":"given-name","_":"Paul;Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 1111 Highland Avenue, Madison, WI 53705, USA;Department of Urban and Rural Development, Swedish University of Agricultural Sciences, Uppsala, Sweden
- 摘要
- Alleviating the contradiction between land use change and natural ecosystem protection is an urgent problem that needs to be solved in the context of rapid urbanization. Urban expansion from 2015 to 2035 is simulated under three scenarios in this study using the Future Urban-Regional Environment Simulation (FUTURES) model, with Hohhot, China as the research area. Then, the value of crucial ecosystem services and the trade-offs or synergies between them are calculated for past and future periods. We find that urban expansion is dominated by the occupation of cropland and grassland, leading to the losses of ecosystem services. Especially under the economic priority (EP) scenario, food production may be reduced by up to 2.98 % and soil conservation may be reduced by up to 1.04 %. The directionality of the relationships between ecosystem services will not be reversed under any scenario. Our results also emphasize that although ecosystem services have been effectively protected under the ecological conservation (EC) scenario, it may increase the trade-off intensity among them. By considering the assessment of ecosystem services and changes in their interactions when choosing the urban expansion pattern, managers can optimize planning policies to ensure sustainable urban and community management.