scholarly journals Spatial Agglomeration Characteristics of Rural Settlements in Poor Mountainous Areas of Southwest China

2020 ◽  
Vol 12 (5) ◽  
pp. 1818 ◽  
Author(s):  
Guanglian Luo ◽  
Bin Wang ◽  
Dongqi Luo ◽  
Chaofu Wei
Keyword(s):  
Influencing Factors ◽  
Research Area ◽  
Mountainous Area ◽  
Cultivated Land ◽  
Rural Settlements ◽  
Mountainous Areas ◽  
Residential Areas ◽  
Spatial Agglomeration ◽  
Agglomeration Effect ◽  
Highly Correlated

The rural settlements in poverty-stricken mountainous areas are the "living fossils" of an economic society with the characteristics of spatial dispersion and are slowly changing. Spatial agglomeration is the development direction of rural settlements. In-depth exploration of the spatial agglomeration characteristics and influencing factors of rural settlements in poverty-stricken mountainous areas is a way to provide a basis for rural settlement restructuring. We selected Pengshui County, a national poverty-stricken county in the southwestern mountainous area of China, as the research area. Spatial buffer and kernel density analysis were used to analyze the agglomeration characteristics of rural settlements and influencing factors. The results show that: (1) The rural settlements are small in scale and the space is evenly dispersed. 55.63% of the rural settlements’ sizes are less than 1000 m2, 84.15% of the rural settlements’ sizes are less than 2500 m2, and 92.81% of the rural settlements are within 200 m. (2) The elevation and slope of topographic factors have a significant agglomeration effect on rural settlements. However, the slope direction has no agglomeration effect. 85.41% of rural settlements (52.75% of rural settlements are gathered between 400 and 800 m above sea level) are gathered at an altitude of 1000 m or less, and 77.59% of rural settlements are gathered with a slope of 6~25°. Additionally, there are few rural settlements with a slope of 0~2°. Moreover, the distribution of residential areas has no agglomeration effect on rural settlements. (3) The cultivated land exerts the most significant effect on rural settlements followed by roads and water sources, while the role of urban land is weak. 99.48% of rural settlements are concentrated in the 100 m area of cultivated land. Therefore, in the poverty-stricken mountainous areas in the southwestern mountainous areas of China, convenient farming is the primary condition for production and living. Rural settlements are highly correlated with cultivated land. Rural settlements are scattered and concentrated with the scattered cultivated land. The rural settlements were leaded by the distribution of cultivated land. Less high-quality cultivated land with less slope were occupied or not by rural residential areas’ people.

scholarly journals Quality Analysis on Spatial Planning Pattern of Rural Area in Southern Shaanxi, China

2021 ◽  
Vol 13 (22) ◽  
pp. 12668
Author(s):  
Juan Xu ◽  
Mengsheng Yang ◽  
Ziliang Lu ◽  
Dan Liu ◽  
Yan Wu
Keyword(s):  
Spatial Structure ◽  
Rural Area ◽  
Influencing Factors ◽  
Rural Areas ◽  
Research Area ◽  
Quality Analysis ◽  
Small Scale ◽  
Rural Settlements ◽  
Large Area ◽  
Southern Shaanxi

There have been many studies that have only focused on factors affecting the spatial distribution of rural settlements, without paying attention to their function and scale. China’s mountainous rural area has many problems, such as a fragile ecological environment, poor infrastructure and limited public service facilities. As a result, mountainous rural settlements demonstrate a disorderly and scattered layout. This research takes southern Shaanxi as its research area and uses quantitative and qualitative analysis to analyze the field survey data, revealing the spatial format of rural settlements and its influencing factors. The research results show that: (1) The spatial structure of mountainous settlements can be summarized as falling into three types—agglomeration type, belt type, and dispersion type. The individual settlements are discrete, and the spatial structure of the settlement groups exhibits small-scale clustering in a large area. (2) The influencing factors of spatial structure are ranked thus—geomorphological conditions > population quantity > land use scale. (3) The number of settlements in the study area is constantly decreasing, and their boundaries are gradually shrinking, showing randomly distributed characteristics. (4) A radius of 284.12 m can be used as a measure of the development scope of the village to control the scope of settlement construction. The objective of the research is to classify the spatial structure and propose the most optimal spatial mode in mountainous rural areas.

scholarly journals Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

2019 ◽  
Vol 11 (18) ◽  
pp. 4915 ◽  
Author(s):  
Wenhai Xie ◽  
Wanfu Jin ◽  
Kairui Chen ◽  
Jilin Wu ◽  
Chunshan Zhou
Keyword(s):  
Land Use ◽  
Influencing Factors ◽  
Influence Factors ◽  
Land Use Type ◽  
Cultivated Land ◽  
Forest Land ◽  
Mountainous Areas ◽  
Type Conversion ◽  
Traffic Conditions ◽  
Rural Construction

Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

scholarly journals Association between the type of physical activity and metabolic syndrome in middle-aged and older adult residents of a semi-mountainous area in Japan

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Noriko Kudo ◽  
Ritsuko Nishide ◽  
Mayumi Mizutani ◽  
Shota Ogawa ◽  
Susumu Tanimura
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Older Women ◽  
Secondary Data ◽  
Daily Physical Activity ◽  
Mountainous Area ◽  
Mountainous Areas ◽  
Middle Aged ◽  
Type Activity ◽  
Specific Health

Abstract Background Physical activity is reported to prevent metabolic syndrome. However, it is unclear whether exercise or daily physical activity is more beneficial for residents of semi-mountainous areas. This study aimed to identify whether daily physical activity is more beneficial than exercise for the prevention of metabolic syndrome among middle-aged and older residents in semi-mountainous areas. Methods We analyzed secondary data of 636 people who underwent a specific health checkup in a semi-mountainous area of Japan. Physical activity was classified into four types: inactivity (I-type; without exercise and without daily physical activity), only exercise (E-type; with exercise and without daily physical activity), only daily physical activity (D-type; without exercise and with daily physical activity), and full physical activity type (F-type; with exercise and with daily physical activity). We compared the means of risk factors for metabolic syndrome by these four types, followed by logistic regression analysis, to identify whether and to what extent the D-type was less likely to have metabolic syndrome than the E-type. Results The prevalence of metabolic syndrome was 28.5% (men 45.7%, women 15.8%). The proportions of men with exercise and daily physical activity were 38.7% and 52.8%, respectively. For women, the proportions were 33.0% and 47.1%, respectively. In women, the D-type had the significantly lowest BMI, smallest waist circumference, highest HDL-C, and lowest prevalence of metabolic syndrome of the four types; the same was not observed in men. Additionally, D-type activity was more strongly associated with a reduced risk of metabolic syndrome than E-type activity in women (adjusted odds ratio 0.24; 95% confidence interval 0.06–0.85, P = 0.028). Conclusions Compared to middle-aged and older women residents with exercise in a semi-mountainous area of Japan, those with daily physical activity may effectively prevent metabolic syndrome.

Ground motion detection in Central South Asturias (N Spain) by using Sentinel-1 SAR data

2021 ◽  
Author(s):  
Jose Cuervas-Mons ◽  
María José Domínguez-Cuesta ◽  
Félix Mateos-Redondo ◽  
Oriol Monserrat ◽  
Anna Barra
Keyword(s):  
Motion Detection ◽  
Mountainous Area ◽  
Geological Hazards ◽  
Aquifer Recharge ◽  
Velocity Range ◽  
Mountainous Areas ◽  
Sar Images ◽  
Ground Deformations ◽  
Slope Instabilities ◽  
Central South

<p>In this work, the A-DInSAR techniques are applied in a mountainous area located in the Central South of Asturias (N Spain), where there are significant landslide and subsidence phenomena. The main aim of this study is detecting and analysing ground deformations associated to slope instabilities and subsidence processes. For this, 113 SAR images, provided by Sentinel-1A/B between January 2018 and February 2020, were acquired and processed by means of PSIG software (developed by the Geomatics Division of the CTTC). The results show a velocity range between -18.4 and 10.0 mm/year, and minimum and maximum accumulated ground displacements of -35.0 and 17.5 mm. This study has made possible to differentiate local sectors with recent deformation related to landslide incidence, urban/mining subsidence, and land recuperation due to aquifer recharge. This work corroborates the reliability and usefulness of the A-DInSAR processing as a powerful tool in the study and analysis of geological hazards on regional and local scales using Sentinel-1 data collection, showing also the high difficulty of processing mountainous areas with few urban sectors.</p>

Spatial organization of rural territories

2021 ◽  
pp. 751-756
Author(s):  
Sevostyanov A.V. Sevostyanov A.V. ◽  
V.A. Sevostyanov ◽  
A.P. Spiridonova
Keyword(s):  
Scale Development ◽  
Rural Population ◽  
Large Scale ◽  
Spatial Organization ◽  
Low Density ◽  
Rural Settlements ◽  
Residential Areas ◽  
Complex Development

This article covers the issues raised by the objectives of the "The Program for complex development of rural territories" and its subprogram "Providing rural population with affordable and comfortable housing". The authors substantiate the concept "rural agglomeration" and make the suggestions on how to choose rural settlements and land plots suitable for large-scale development of low-density residential areas.

scholarly journals Edaphic characteristics of Austrian pine (Pinus nigra Arn.) forests in the Visegrad area

2016 ◽  
Vol 68 (2) ◽  
pp. 355-362
Author(s):  
Velibor Blagojevic ◽  
Milan Knezevic ◽  
Olivera Kosanin ◽  
Marijana Kapovic-Solomun ◽  
Radovan Lucic ◽  
...  
Keyword(s):  
Pinus Nigra ◽  
Research Area ◽  
Geological Structure ◽  
Forest Communities ◽  
Production Potential ◽  
High Production ◽  
Highly Correlated ◽  
The Impact ◽  
Important Basis ◽  
Forest Habitats

This paper presents the results of soil research in Austrian pine (Pinus nigra Arn.) forest communities in the Visegrad area, carried out to determine the basic soil characteristics and eco-production potential of forest habitats as an important basis and framework for the successful management of these forests on the principles of sustainable development. Austrian pine forests in this region are an important and ecologically valuable community. The complexity of the geological structure and relief dynamics are dominant environmental factors that condition the expressed variability of soils in the study area. Forest communities of Austrian pine are formed on the peridotites and serpentinites, eutric ranker (haplic leptosol), eutric cambisol (haplic cambisols) and pseudogley (haplic planosol), dense granular and marl limestones calcomelanosol (mollic leptosol), rendzina (rendzic leptosol) and calcocambisol (leptic cambisol). The productivity of these soils is highly correlated with depth and texture composition, and the impact of these factors is linked with soil type, climate and other site conditions. In the research area, soil types with low production potential such as rankers, rendzinas, limestone and dolomite calcomelanosol are dominant. Deeper variants of eutric cambisol, pseudogley and calcocambisol can be classified as soils with moderate to high production potential.

scholarly journals Fatigue Load Spectrum of Highway Bridge Vehicles in Plateau Mountainous Area Based on Wireless Sensing

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Li Rui ◽  
Xie Xiaoyu ◽  
Duan Xueyan
Keyword(s):  
Low Cost ◽  
Mineral Resources ◽  
Highway Bridges ◽  
Equivalent Model ◽  
Distribution Model ◽  
Mountainous Area ◽  
Wireless Sensing ◽  
Mountainous Areas ◽  
Load Spectrum ◽  
Fatigue Load

In Yunnan and other plateau mountainous areas, hydropower and mineral resources are abundant, and there are relatively many vehicles used for the transportation of large hydropower facilities. The widespread phenomenon of vehicle overload causes severe fatigue among the drivers. However, there is no reference vehicle load spectrum for fatigue analysis in the existing research. The application of wireless sensing technology to bridge health monitoring is favorable for the entire monitoring system’s low-cost and intelligent development. In this study, wireless sensors are used to collect sensing data in the measured area and perform preliminary filtering processing. The data collected by the sensing layer is aggregated at the TD gateway layer to realize local short-term storage of monitoring data, and 3G wireless transmission is used for the effective processing of the data. The clustering method is used to classify the vehicle models based on investigating the most representative expressway traffic flow information in Yunnan Province. Moreover, the weighted probability distribution model of different vehicle models is established through statistical analysis, which simplifies the composition’s fatigue intensity spectrum model. The selection of five vehicles of the equivalent model followed by a six-axle vehicle has the most significant impact on bridge damage as the standard fatigue vehicle. The research results establish a basis for the fatigue design of highway bridges in plateau and mountainous areas and provide data to establish vehicle fatigue load spectra in national highway regions.

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