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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Methodological framework for identifying sustainability intervention priority areas on coastal landscapes and its application in China 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 766, 页码: 13 作者:  Wang Yafei;  Fan Jie;  Li Jiuyi;  Zhou Bing-Bing;  Wang Qiang 收藏  |  浏览/下载：44/0  |  提交时间：2021/06/10 Sustainability early-warnings  Safe operating space  Social-environmental systems  Landscape sustainability  Coastal region   Interaction between urbanization and eco-environment in the Tibetan Plateau 期刊论文 JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 卷号: 31, 期号: 2, 页码: 298-324 作者:  Feng Yuxue;  Li Guangdong 收藏  |  浏览/下载：10/0  |  提交时间：2021/06/10 urbanization  eco-environment  coupling coordination degree  decoupling  prediction  Tibetan Plateau   A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 250, 页码: 14 作者:  Cheng, Shifen;  Lu, Feng;  Peng, Peng 收藏  |  浏览/下载：15/0  |  提交时间：2020/05/19 Heavy-duty diesel trucks  Traffic emissions  Vehicle emissions inventory  Spatiotemporal patterns   The nexus between regional eco-environmental degradation and rural impoverishment in China 期刊论文 HABITAT INTERNATIONAL, 2020, 卷号: 96, 页码: 15 作者:  Zhou, Yang;  Li, Yurui;  Liu, Yansui 收藏  |  浏览/下载：4/0  |  提交时间：2020/05/19 Regional impoverishment  Eco-environmental degradation  Poverty-environmental nexus  Poverty alleviation  Disaster risk prevention  China   Constructing HLM to examine multi-level poverty-contributing factors of farmer households: Why and how? 期刊论文 PLOS ONE, 2020, 卷号: 15, 期号: 1, 页码: 17 作者:  Jiang, Yuewen;  Huang, Chong;  Yin, Duoduo;  Liang, Chenxia;  Wang, Yanhui 收藏  |  浏览/下载：7/0  |  提交时间：2021/03/23 A Digital Signage Audience Classification Model Based on the Huff Model and Backpropagation Neural Network 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 71708-71720 作者:  Zhang, Xun;  Xie, Xiaolan;  Wang, Yuxue;  Zhang, Xiaohu;  Jiang, Dong 收藏  |  浏览/下载：13/0  |  提交时间：2021/03/23 Classification algorithms  Neural networks  Prediction algorithms  Roads  Data models  Backpropagation  Advertising  Digital signage  backpropagation algorithms  classification algorithms  geographic information systems   Use of Intensity Analysis to Measure Land Use Changes from 1932 to 2005 in Zhenlai County, Northeast China 期刊论文 CHINESE GEOGRAPHICAL SCIENCE, 2017, 卷号: 27, 期号: 3, 页码: 441-455 作者:  Yang, Yuanyuan;  Liu, Yansui;  Xu, Di;  Zhang, Shuwen 收藏  |  浏览/下载：9/0  |  提交时间：2019/09/25 intensity analysis  land use and land cover change  pattern  driving forces  Northeast China   useofintensityanalysistomeasurelandusechangesfrom1932to2005inzhenlaicountynortheastchina 期刊论文 chinesegeographicalscience, 2017, 卷号: 27, 期号: 3, 页码: 441 作者:  Yang Yuanyuan;  Liu Yansui;  Xu Di;  Zhang Shuwen 收藏  |  浏览/下载：9/0  |  提交时间：2020/03/23 Assessment of bioenergy potential on marginal land in China 期刊论文 Bioenergy developed from energy plants will play a more and more important role in future energy supply. Much attention has been paid to energy plants in recent years. As China has fairly limited cultivated land resources, the bioenergy development may mainly rely on the exploitation of marginal land. This study focused on the assessment of marginal land resources and bio-fuel potential in China using newly acquired data and Geographic Information System (GIS) techniques. A multi-factor analysis method was adopted to identify marginal lands for bioenergy development in China, with data of several main types of energy plants on the eco-environmental requirements and natural habits employed. A combined planting zonation strategy was proposed, which was targeted for five species of energy plants including Helianthus tuberous L. Pistacia chinensis. Jatropha curcas L., Cassava and Vernicia fordii. The results indicated that total area of marginal land exploitable for development of energy plants on a large scale was about 43.75 million ha. If 10% of this marginal land was fully utilized for growing the energy plants, the production of bio-fuel would be 13.39 million tons. (C) 2010 Elsevier Ltd. All rights reserved., 2011, 卷号: 15, 期号: 2, 页码: 1050-1056 作者:  Zhuang, Dafang(庄大方);  Huang, Yaohuan;  Jiang, Dong 收藏  |  浏览/下载：294/30  |  提交时间：2011/06/10 Marginal land  Bioenergy  Energy plants  GIS  Remote sensing