Environmental Suitability Evaluation for Human Settlements in Arid Inland River Basin — A Case Study on the Shiyang River Basin

2012 ◽  
Vol 518-523 ◽  
pp. 4874-4884
Author(s):  
Wei Wei ◽  
Pei Ji Shi ◽  
Jun Zhao ◽  
Xu Feng Wang ◽  
Xue Ping Wang

The paper selects slope, aspect, Relief Degree of Land Surface, land use, vegetation index, hydrology, transportation density and climate as evaluation indexes and sets up the Human Settlements Environmental Index (HEI) model to evaluate the environmental suitability for Human Settlements in Shiyang river basin. Through using spatial analysis technology of GIS such as spatial overlay analysis, buffer analysis and density analysis to establish the spatial situation of nature suitability and spatial pattern for human settlement. The Results showed that: the index of nature suitability for human settlement in Shiyang river basin was between 17.13 and 84.32. In general, nature suitability for human settlement decreased from southwest to northeast. Saw from area pattern, the suitable region mainly distributed in Minqin oasis, Wuwei oasis and Changning basin, which accounting for about1080.01 km2, 2.59% of the total area. Rather and comparatively suitable region mainly distributed around the county in Gulang, Yongchang and north of Tianzhu, which accounting for about1100.30 km2.The common suitable region mainly distributed outside of the county inYongchang, Jinchuan and most area of Minqin county, which accounting for about 23328.04km2, 56.08% of the total area. The unsuitable region mainly distributed upstream and north of river, which accounting for about 9937.60 km2, 23.89% of the total area. Meanwhile, the least suitable region distributed around the Qilian Mountain which covered by snow and cold desert and the intersecting area between Tenger Desert and Badain Jaran Desert. The total area was about 6154.05 km2, which accounting for 14.79% of the total area. Suitable regions for human inhabitance mainly distributed around rivers in the form of ribbons and batches, while others are scattered. Their distribution pattern was identical with the residential spatial pattern. In addition, the relationships between HEI and some factors were also analyzed. There was a clear logarithm correlation between situation of residential environment and population, that is, the correlation coefficient between evaluation value and population density reached 0.851. There was also positive correlation between situation of residential environment and economics, which reached 0.845 between evaluation value of residential environment and GDP. Results also showed the environment was out of bearing the existing population in Shiyang river basin. Spatial distribution of population was profoundly affected by severe environment such as the expanded deserts, the wavy terrains, and the changeful climate. Surface water shortage and slowly economic growth was the bottleneck of nature suitability for human settlement in Shiyang river basin. So according to these problems and various planning, some of residential parts need to relocate in order to improve situation of residential environment.

2021 ◽  
Author(s):  
Wende Chen ◽  
kun zhu ◽  
QUN WU ◽  
Yankun CAI ◽  
Yutian LU ◽  
...  

Abstract Taking Chengdu as the research object, the natural eco-environmental factors such as topography, climate, vegetation, land use and vegetation cover were selected, together with human disturbance factors such as traffic and GDP, and the index weights were calculated by AHP. Based on 3S technology, projection transformation, remote sensing interpretation, information extraction and analysis are carried out, and evaluation model of Chengdu's residential environment adaptability is constructed, which reflects the zoning and spatial distribution characteristics of Chengdu's residential environment adaptability. The results show that: 1) The adaptability index of Chengdu's human settlement environment is between 15.98 and 76.75, and the suitability of human settlement environment is gradually decreasing from the middle to the east and west of Chengdu, and most areas are restricted by human production activities and natural conditions. 2) According to the actual situation, the suitability index can be divided into High-grade suitable areas (284.36 km2, 2.01%), relatively High-grade suitable areas (1802.13 km2, 12.71%), moderately suitable areas (3721.49 km2, 26.24%) and low suitable areas (3731.49 km2, 26.31%). 3) The correlation degree between the spatial distribution of Chengdu population and each index factor is as follows: per capita GDP> topographic relief > temperature and humidity > vegetation coverage > traffic network density > land use > hydrological factors. 4) There is a good correlation between Chengdu human settlements suitability index and the current population density grid layer, and its correlation coefficient is 0.7326. 5) The leading impact indicators of human settlements in different regions are different. The results show that the natural environment conditions in Chengdu are superior and the ecological environment quality is relatively stable, but the human settlement suitability index in the southeast and Longmenshan areas of Chengdu is relatively low. Therefore, in the future development planning of Chengdu, it is necessary to combine the actual environmental conditions and resource carrying capacity, and rationally carry out urban optimization and beautiful countryside construction.


Author(s):  
N. Li ◽  
J. Y. Wang ◽  
H. Y. Wang ◽  
X. L. Yang

Abstract. Ecology and environmental suitability are widely used in urban ecology and regional ecology. However, there is still a lack of systematic evaluation method system for the research impacts of tourism development and tourism resource development on ecology and environment in ecologically sensitive scenic spots. Taking Lijiang River Basin, an ecologically sensitive area with typical karst landforms, as an example, this paper analyses the ecological and environmental suitability of tourism development from the perspective of space. In this paper, TM image and DEM model were firstly used to extract NDVI, slope, slope aspect and other related data. Then, based on the characteristics of the study area, the data of each factor was graded and assigned with a grade value, and the spatial situation of each single factor was analyzed, and superposition was carried out at last. Meanwhile, the study area is divided into three levels for tourism development, namely, unsuitable area, sub-suitable area and suitable area.


2018 ◽  
Vol 38 (13) ◽  
Author(s):  
王玉纯 WANG Yuchun ◽  
赵军 ZHAO Jun ◽  
付杰文 FU Jiewen ◽  
魏伟 WEI Wei

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 712
Author(s):  
Kaifeng Li ◽  
Wenhua Gao ◽  
Li Wu ◽  
Hainan Hu ◽  
Panpan Gong ◽  
...  

Obvious spatial expansion of human settlement occurred in the lower Yellow River floodplain during the Longshan period, but the external factors driving this expansion remain unclear. In this study, we first delineated the hydroclimatic changes at both regional and local scales within and around the lower Yellow River floodplain and then examined the relationships of human settlements with hydroclimatic settings between the pre-Longshan and Longshan periods. The results indicate that the site distribution, site density and hydroclimatic conditions exhibited significant shifts during the pre-Longshan and Longshan periods. In the pre-Longshan period, the intense East Asian summer monsoon and abundant monsoon-related precipitation caused widespread development of lakes and marshes in the lower Yellow River floodplain. As a result, the circumjacent highlands of the lower Yellow River floodplain contained concentrated human settlements. However, the persistent weakening of the East Asian summer monsoon and consequent precipitation decline, in conjunction with accelerated soil erosion due to decreasing forest vegetation and strengthening of human activities on the upstream Loess Plateau in the Longshan period, are likely to have jointly caused both shrinking and faster filling of preexisting lakes and marshes. Subsequently, a large area of arable land had been created in the lower Yellow River floodplain and thus was occupied by locally rapid increasing population, resulting in the notable spatial expansion of human settlements during the Longshan period.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yong Fan ◽  
Shengdi Zhang ◽  
Zongyi He ◽  
Biao He ◽  
Haicong Yu ◽  
...  

The spatial pattern and evolution of urban system have been hot research issues in the field of urban research. In this paper, the network analysis method based on the gravity model and the related measurements were used to reveal the properties of the spatial pattern and evolution of the urban system in the HRB (Huaihe River Basin) of China. The findings of this study are as follows: During the period from 2006 to 2014, the economic contact between the HRB cities has been strengthened, but the differences between cities have been expanding. In general, the HRB cities have not yet formed a close network structure, and a trend of economic integration has not been found. This paper expresses the spatial pattern and evolution of urban system in an intuitive way and helps to explain the evolution mechanism of urban system. The method was confirmed by empirical research. Because of the operational and visual expression, this method has broad application prospects in the urban system research.


Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 577 ◽  
Author(s):  
Lizhen Wang ◽  
Yong Zhao ◽  
Yuefei Huang ◽  
Jianhua Wang ◽  
Haihong Li ◽  
...  

Water-rights trade has proved to be an effective method for coping with water shortages through the transfer of water resources between users. The water allocation system is classified into two categories based on information transparency and water rights transaction goals: administered system (AS) and market-based system (MS). A multi-agent and multi-objective optimal allocation model, built on a complex adaptive system, was introduced to direct the distribution of water resources under an AS in the Shiyang River Basin; it was compared with a market-based water rights transaction model using the bulletin-board approach. Ideal economic agent equations played a dominant role in both models. The government and different water users were conceptualized as agents with different behaviors and goals in water allocation. The impact of water-saving cost on optimal water allocation was also considered. The results showed that an agent’s water-saving behavior was incentivized by high transaction prices in the water market. Under the MS, the highest bid in the quotation set had a dominant influence on how trade was conducted. A higher transaction price will, thus, result in a better benefit ratio, and a lower one will result in inactivity in terms of water rights trade. This will significantly impact the economic benefit to the basin.


2015 ◽  
Vol 3 (5) ◽  
pp. 3225-3250
Author(s):  
H. Z. Zhang ◽  
J. R. Fan ◽  
X. M. Wang ◽  
T. H. Chi ◽  
L. Peng

Abstract. The 2008 Wenchuan earthquake destroyed large areas of vegetation. Presently, these areas of damaged vegetation are at various stages of recovery. In this study, we present a probabilistic approach for slope stability analysis that quantitatively relates data on earthquake-damaged vegetation with slope stability in a given river basin. The Mianyuan River basin was selected for model development, and earthquake-damaged vegetation and post-earthquake recovery conditions were identified via the normalized difference vegetation index (NDVI), from multi-temporal (2001–2014) remote sensing images. DSAL (digital elevation model, slope, aspect, and lithology) spatial zonation was applied to characterize the survival environments of vegetation, which were used to discern the relationships between successful vegetation regrowth and environmental conditions. Finally, the slope stability susceptibility model was trained through multivariate analysis of earthquake-damaged vegetation and its controlling factors (i.e. topographic environments and material properties). Application to the Subao River basin validated the proposed model, showing that most of the damaged vegetation areas have high susceptibility levels (88.1% > susceptibility level 3, and 61.5% > level 4). Our modelling approach may also be valuable for use in other regions prone to landslide hazards.


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