Search Results - "Mao, Wanliu"

Comparison of Machine-Learning Methods for Urban Land-Use Mapping in Hangzhou City, China by Mao, Wanliu, Lu, Debin, Hou, Li, Liu, Xue, Yue, Wenze

“…Urban land-use information is important for urban land-resource planning and management. However, current methods using traditional surveys cannot meet the…”
Get full text

Non-Linear Response of PM2.5 Pollution to Land Use Change in China by Lu, Debin, Mao, Wanliu, Xiao, Wu, Zhang, Liang

“…Land use change has an important influence on the spatial and temporal distribution of PM2.5 concentration. Therefore, based on the particulate matter (PM2.5)…”
Get full text

Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data by Lu, Debin, Mao, Wanliu, Zheng, Lilin, Xiao, Wu, Zhang, Liang, Wei, Jing

“…The lockdown of cities in the Yangtze River Delta (YRD) during COVID-19 has provided many natural and typical test sites for estimating the potential of air…”
Get full text

Promoting low-carbon land use: from theory to practical application through exploring new methods by Chuai, Xiaowei, Xu, Hongbo, Liu, Zemiao, Xiang, Ai, Luo, Yuting, Mao, Wanliu, Wang, Tong, Ye, Xin, Miao, Lijuan, Zhao, Rongqin, Zhang, Fengtai

“…Cities are main carbon emissions generators. Land use changes can not only affect terrestrial ecosystems carbon, but also anthropogenic carbon emissions…”
Get full text

Response of PM2.5 pollution to land use in China by Lu, Debin, Xu, Jianhua, Yue, Wenze, Mao, Wanliu, Yang, Dongyang, Wang, Jinzhu

“…As the spatial carrier of the emission sources and influencing factors of PM2.5, land use and its changes can inevitably affect local and regional PM2.5…”
Get full text

Effects of land use and landscape pattern on PM2.5 in Yangtze River Delta, China by Lu, Debin, Mao, Wanliu, Yang, Dongyang, Zhao, Jianan, Xu, Jianhua

“…Land cover-landscape pattern affects the atmospheric environment directly or indirectly, and the understanding of the atmospheric environment response to land…”
Get full text

Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018 by Gong, Peng, Chen, Bin, Li, Xuecao, Liu, Han, Wang, Jie, Bai, Yuqi, Chen, Jingming, Chen, Xi, Fang, Lei, Feng, Shuailong, Feng, Yongjiu, Gong, Yali, Gu, Hao, Huang, Huabing, Huang, Xiaochun, Jiao, Hongzan, Kang, Yingdong, Lei, Guangbin, Li, Ainong, Li, Xiaoting, Li, Xun, Li, Yuechen, Li, Zhilin, Li, Zhongde, Liu, Chong, Liu, Chunxia, Liu, Maochou, Liu, Shuguang, Mao, Wanliu, Miao, Changhong, Ni, Hao, Pan, Qisheng, Qi, Shuhua, Ren, Zhehao, Shan, Zhuoran, Shen, Shaoqing, Shi, Minjun, Song, Yimeng, Su, Mo, Ping Suen, Hoi, Sun, Bo, Sun, Fangdi, Sun, Jian, Sun, Lin, Sun, Wenyao, Tian, Tian, Tong, Xiaohua, Tseng, Yihsing, Tu, Ying, Wang, Hong, Wang, Lan, Wang, Xi, Wang, Zongming, Wu, Tinghai, Xie, Yaowen, Yang, Jian, Yang, Jun, Yuan, Man, Yue, Wenze, Zeng, Hongda, Zhang, Kuo, Zhang, Neng, Zhang, Tao, Zhang, Yu, Zhao, Feng, Zheng, Yichen, Zhou, Qiming, Clinton, Nicholas, Zhu, Zhiliang, Xu, Bing

Get full text