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Splendid Chinese New Year through the lenses of Anhui photographers

Splendid Chinese New Year through the lenses of Anhui photographers
anhuinews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from anhuinews.com Daily Mail and Mail on Sunday newspapers.

Quanjiao
Jiangxi
China
Tingcheng
Hainan
Hefei
Anhui
Chuzhou
Yingshang
Sichuan
Huizhou
Guangdong

China sees more and more "gigabit cities" - People's Daily Online

China sees more and more "gigabit cities" - People's Daily Online
en.people.cn - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from en.people.cn Daily Mail and Mail on Sunday newspapers.

Shaanxi
China
Ziyang
Anhui
Zhongshan
Baoji
Guangdong
Jilin
Nanshan
Liaoning
Henan
Ganzhou

China sees more and more "gigabit cities"

Ninety-seven Chinese cities have newly become "gigabit cities" in 2023, meaning they gained the capability to offer gigabit.

Guangdong
Jilin
China
Zhumadian
Henan
Chuzhou
Anhui
Sichuan
Gansu
Hunan
Jiangsu
Liaoning

First spy shots of Firefly EV, Nio's European brand, spotted in China

First spy shots of Firefly EV, Nio's European brand, spotted in China
carnewschina.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from carnewschina.com Daily Mail and Mail on Sunday newspapers.

Germany
Sweden
Netherlands
Anhui
China
Hefei
Norway
Chuzhou
Denmark
Qin-lihong
Cheetah-automobile

Sustainability | Free Full-Text | Water Conservation Implications Based on Tempo-Spatial Characteristics of Water Footprint in the Water-Receiving Areas of the South-to-North Water Diversion Project, China

In order to continuously promote water conservation efforts to alleviate the pressure of water diversion, water footprint (WF) is used as an effective tool to measure water utilization in the water-receiving areas of the Middle Route and Eastern Route of the South-to-North Water Diversion Project (SNWDP). The tempo-spatial variations of WF and spatial equilibrium of water footprint intensity (WFI) in the study area are quantified using the Mann–Kandle trend test, Sen’s slope, and Dagum Gini coefficient decomposition method for the years of 2005–2020. The results show that WF has a significant decreasing trend (Sen’s slop < 0, significant level < 0.05) in 17 cities in the study area, whereas WF shows a significant increasing trend (Sen’s slop > 0, significant level < 0.05) in 10 cities. Cities in the water-receiving areas are categorized into three types based on the contribution of the water utilization sector to changes in WF as follows: agric

Luohe
Henan
China
Tianjin
Chuzhou
Anhui
Shanghe
Guangdong
Weihai
Shandong
Beijing
Lianyungang

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