Spatial distribution of marine chemicals along a transect from Zhongshan Station to the Grove Mountain area, Eastern Antarctica

2014 ◽  
Vol 57 (10) ◽  
pp. 2366-2373
Author(s):  
Xiang Qin ◽  
ChuanJin Li ◽  
CunDe Xiao ◽  
ShuGui Hou ◽  
MingHu Ding ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Mountain Area ◽  
Zhongshan Station ◽  
Marine Chemicals

scholarly journals Population distribution characteristics and its relationship with natural factors in karst mountainous areas of Northwest Guangxi

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Shana Shi ◽  
Bingkang Xie ◽  
Baoqing Hu ◽  
Chuanyong Tang ◽  
Yan Yan ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Population Distribution ◽  
Basic Unit ◽  
Distribution Characteristics ◽  
Mountainous Areas ◽  
Mountain Area ◽  
Natural Factors ◽  
The Impact ◽  
Population Spatial Distribution

The smallest administrative unit of the sixth national census-township (town) is selected as the basic unit, the population spatial distribution characteristics at the township (town) level in karst mountainous areas of northwest Guangxi are analyzed by using Lorenz curve and spatial correlation analysis method, and the influence intensity of natural factors on regional population spatial distribution is detected by using geographic detector method. The results show that: 1. the spatial distribution of population at the township (town) level has the characteristics of imbalance, showing generally significant positive correlation and certain aggregation; 2. there are significant differences in the impact of the spatial distribution of various natural factors on the population distribution. For the towns without karst distribution in the northwest and central south of the study area, the population density increases with the increase of factors conducive to human residence, but the average population density is only 79 people / km2. In the towns with karst distribution in the East and south, the spatial distribution of population density and natural factors is not a simple increase or decrease relationship, but fluctuates with the change of karst distribution area. 3. The factor detection results of the geographic detector show that the altitude has the greatest impact on the spatial distribution of population. The interactive detection results show that the impact intensity of any two natural factors after superposition and interaction presents nonlinear enhancement and two factor enhancement. It can be seen that the karst mountain area in northwest Guangxi is similar to other areas. Altitude is one of the main factors affecting the spatial distribution of population, but the river network density and unique geological landform of karst mountain area have a strong catalytic effect on the spatial distribution of population. The superposition and interaction with other factors can further strengthen the impact on population distribution.

Spatial distribution of 17O-excess in surface snow along a traverse from Zhongshan station to Dome A, East Antarctica

2015 ◽  
Vol 414 ◽  
pp. 126-133 ◽  
Author(s):  
Hongxi Pang ◽  
Shugui Hou ◽  
Amaelle Landais ◽  
Valérie Masson-Delmotte ◽  
Frederic Prie ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
East Antarctica ◽  
Dome A ◽  
Zhongshan Station ◽  
Surface Snow

scholarly journals Climatological features and trends of extreme precipitation during 1979–2012 in Beijing, China

2015 ◽  
Vol 369 ◽  
pp. 97-102 ◽  
Author(s):  
Z. X. Xu ◽  
Q. Chu
Keyword(s):  
Spatial Distribution ◽  
Urban Area ◽  
Extreme Precipitation ◽  
Precipitation Amount ◽  
Annual Precipitation ◽  
Mountain Area ◽  
Beijing Area ◽  
North Eastern ◽  
Precipitation Threshold ◽  
Beijing China

Abstract. In this study, three kinds of hourly precipitation series with the spatial resolution of 0.1° are used to analyze the climatological features and trends of extreme precipitation during the period of 1979–2012 in Beijing, China. The results show that: (1) the spatial distribution of median annual precipitation, with a range from 500 to 825 mm, is similar to that of local topography, which increases from the northwest to the southeast. Taking the urban area as a centre, the inter-annual precipitation in the Beijing area displays an outward decreasing tendency at the maximum rate of 125 mm per decade (125 mm × 10 a−1); (2) extreme precipitation amount, which accounts for 40–48% of total precipitation amount, has a similar spatial distribution to average annual precipitation; (3) the spatial distribution of extreme precipitation days and threshold estimated as the upper 95 percentile are significantly different from that of extreme precipitation, with maximum values concentrated on the urban area and the eastern mountain area, and minimum values in northwest; (4) extreme precipitation days (Ex_pd95) show an opposite distribution to extreme precipitation threshold (Ex_pv95), indicating that areas with greater precipitation threshold may has less precipitation days, and vice versa; (5) an apparent spatiotemporal decreasing tendency is detected in extreme precipitation amount. The downward tendencies are also found in extreme precipitation threshold. Unlike Ex_pv95, in most of the study area, Ex_pd95 is virtually unchanged; (6) downward trends of extreme precipitation is slightly smaller than that of annual precipitation, and the reducing amplitude of north-eastern areas are much higher than the areas in the southwest.

scholarly journals Emitter and tourist destination in Romania

2020 ◽  
Vol 12 (Special Issue 1) ◽  
pp. 120-138
Author(s):  
GRIGORE VASILE HERMAN ◽  
DORINA CAMELIA ILIEȘ ◽  
OLIVIER DEHOORNE ◽  
ALEXANDRU ILIEȘ ◽  
ALPHONSE SAMBOU ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Low Flow ◽  
The Black Sea ◽  
Urban Centers ◽  
Tourist Destination ◽  
Mountain Area ◽  
Tourist Destinations ◽  
Black Sea Coast ◽  
Important Center ◽  
The One

Background: The need to identify, analyze and establish relationships between destinations and tourist emission, as terminus points between which the tourist circulation takes place, arises from the structural and functional complexity of tourism, on the one hand, and from its unprecedented expansion, on the other hand. Material and methods: Within the present study, which concerned Romania as a tourist destination, a number of specific, determinative indicators for the emission areas and the tourist destinations were identified and analyzed. Results: The obtained results focused on the analysis of: capacity, hierarchy, spatial distribution and establishment of relations between tourist emission / reception centers. They pointed out that Bucharest is the most important center of emission and tourist destination, followed by big urban centers of Constanța, Brasov, Mangalia, Cluj, Sibiu, Iași, etc., with some oscillations in what supposes their capacity of emission respectively tourist reception. Conclusions: The spatial distribution of the tourist emission-reception centers at the level of Romania is a discontinuous, individualized nuclei of utmost importance (the mountain area, the Black Sea coast and the Bucharest area) and the poor areas in infrastructure and tourist objectives, which determines a low flow of tourists.

scholarly journals Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China

2018 ◽  
Vol 8 (11) ◽  
pp. 2075 ◽  
Author(s):  
Yunfeng Hu ◽  
Yueqi Han ◽  
Yunzhi Zhang
Keyword(s):  
Spatial Distribution ◽  
Population Distribution ◽  
High Sensitivity ◽  
Guizhou Province ◽  
Vegetation Coverage ◽  
Web Crawler ◽  
Rocky Desertification ◽  
Mountain Area ◽  
Time Space ◽  
Western Yunnan

Rocky desertification is an important type of ecological degradation in southwest of China. The author uses the web crawler technology and obtained 9345 journal papers related to rocky desertification from 1950s to 2016 in China. The authors also constructed a technological process to extract research hot regions on rocky desertification and then a spatial distribution map of research hot regions on rocky desertification was formed. Finally, the authors compared the spatial distribution using the sensitivity map of rocky desertification to find the differences between two maps. The study shows that: (1) rocky desertification research hot regions in China are mainly distributed in Guizhou, Yunnan and Guangxi, especially in Bijie, Liupanshui, Guiyang, Anshun, Qianxinan Autonomous Prefecture, QianNan Autonomous Prefecture, Qiandongnan Autonomous Prefecture in Guizhou Province, Hechi, Baise, Nanning, Guilin in Guangxi Zhuang Autonomous Region and Zhaotong in Yunnan Province. (2) The research hot regions on rocky desertification have good spatial consistency with the sensitivity regions of rocky desertification. At the prefecture level, the overlap rate of the two regions reached 85%. Because of the influence of topography, vegetation coverage, population distribution, traffic accessibility and other factors, there were regions that consisted of combinations of high sensitivity but low research popularity regarding rocky desertification; these sites included Qionglai Mountain-Liangshan Area of Sichuan, Wushan-Shennongjia Area of Hubei, Hengduan Mountain Area of western Yunnan and Dupangling Area of southern Hunan. (3) The research hot regions and sensitive regions cannot be matched completely in time, space and concept. Therefore, we can use their spatial distribution differences to improve the pertinence of planning, governance and study of rocky desertification.

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