Importance of hydrogeological conditions during formation of the karstic bauxite deposits, Central Guizhou Province, Southwest China: A case study at Lindai deposit

2017 ◽  
Vol 82 ◽  
pp. 198-216 ◽  
Author(s):  
Kun-Yue Ling ◽  
Xiao-Qing Zhu ◽  
Hao-Shu Tang ◽  
Shi-Xin Li
Keyword(s):  
Southwest China ◽  
Guizhou Province ◽  
Hydrogeological Conditions

Spatio-temporal characteristics of rocky desertification in typical Karst areas of Southwest China: A case study of Puding County, Guizhou Province

2018 ◽  
Vol 38 (24) ◽  
Author(s):  
习慧鹏 XI Huipeng ◽  
王世杰 WANG Shijie ◽  
白晓永 BAI Xiaoyong ◽  
唐红 TANG Hong ◽  
吴路华 WU Luhua ◽  
...  
Keyword(s):  
Southwest China ◽  
Guizhou Province ◽  
Rocky Desertification ◽  
Temporal Characteristics ◽  
Karst Areas ◽  
Spatio Temporal

Precipitation extremes in a karst region: a case study in the Guizhou province, southwest China

2009 ◽  
Vol 101 (1-2) ◽  
pp. 53-65 ◽  
Author(s):  
Qiang Zhang ◽  
Chong-Yu Xu ◽  
Zengxin Zhang ◽  
Xi Chen ◽  
Zhaoqing Han
Keyword(s):  
Southwest China ◽  
Precipitation Extremes ◽  
Guizhou Province ◽  
Karst Region

A case study on sulfur sludge harmless treatment in southwest China

2013 ◽  
Author(s):  
Feng Ouyang ◽  
Zhijiao Chen ◽  
Mingjie Tang ◽  
Yahui Zhang
Keyword(s):  
Southwest China

scholarly journals A Case Study on Soundscape Analysis for the Historical and Ethnic Village of Dong Nationality in Zhaoxing County

Acoustics ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 221-234
Author(s):  
Zhiyong Deng ◽  
Kexin Dong ◽  
Danfeng Bai ◽  
Kaicheng Tong ◽  
Aili Liu
Keyword(s):  
Sound Pressure ◽  
Subjective Experience ◽  
Guizhou Province ◽  
Music Listening ◽  
Ethnic Music ◽  
Curve Fit ◽  
Sound Event ◽  
Sound Environment ◽  
Independent Variable

A soundscape is a sound environment of the awareness of auditory perception and social or cultural understandings. Based on a soundscape investigation in 2019 in the historical and ethnic village of Dong Nationality in Zhaoxing County, Guizhou Province of China, a case study on the soundscape analysis with the acoustical sound pressure level and an impressive sound event or soundmark is introduced in this paper. Furthermore, in order to determine the subjective soundscape experience and its influence by the length of background music listening, the independent variable “Length of Listening” and six adjective pairs, such as “Monotonous” to “Rich”, “Clamorous” to “Quiet”, “Stressing” to “Relaxing”, “Boring” to “Vivid”, “Noisy” to “Musical” and “Disliked” to “Preferable” are chosen to obtain a curve-fit, which shows that the length of the music listening background has a higher correlation to the subjective experience, and no sufficient attention has been paid to the context of the traditional soundscape preservation, ethnic music and quiet and soft ambient sounds.

scholarly journals Analysis and Prediction of “AI + Education” Attention Based on Baidu Index—Taking Guizhou Province as an Example

2021 ◽  
Vol 13 (5) ◽  
pp. 120
Author(s):  
Yulin Zhao ◽  
Junke Li ◽  
Jiang-E Wang
Keyword(s):  
Artificial Intelligence ◽  
Southwest China ◽  
Arima Model ◽  
Modern Technology ◽  
Guizhou Province ◽  
Western Region ◽  
Elastic Coefficient ◽  
The Sustainable Development ◽  
Intelligence Education ◽  
Coefficient Method

Studying the attention of “artificial intelligence + education” in ethnic areas is of great significance for China for promoting the integrated development of new educational modes and modern technology in the western region. Guizhou province is an area inhabited by ethnic minorities, located in the heart of Southwest China. The development of its intelligent education has strong enlightenment for the whole country and the region. Therefore, this paper selects the Baidu Index of “artificial intelligence (AI) + education” in Guizhou province from 2013 to 2020, analyzes the spatial–temporal characteristics of its network attention by using the elastic coefficient method, and builds the ARIMA model on this basis to predict future development. The results show that the public’s attention to “AI + education” differs significantly in time and space. Then, according to the prediction results, this paper puts forward relevant suggestions for the country to promote the sustainable development of education in western ethnic areas.

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