2018
DOI: 10.3390/su10093004
|View full text |Cite
|
Sign up to set email alerts
|

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

Abstract: The realization of regional sustainable development has been a popular research topic during the process of urbanization. To explore the coordination relationships between urban development and ecological security-taking Urumqi city, a representative arid city in Xinjiang, China, as a study area-this study has constructed a framework of spatial suitability evaluation based on the characteristics of a Mountain-Oasis-Desert System (MODS) in an arid area under the framework of major function oriented zoning (MFOZ… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
4
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 45 publications
1
4
0
Order By: Relevance
“…This method presented an apparent advantage compared with other studies and can be applied to assess vulnerability, particularly in arid lands. In TRB, ecological vulnerability showed a distribution pattern which not only corresponded with the actual situation, a typical mountain-oasis-desert pattern in an arid area, but was also consistent with the development requirements of the region [44]. Adequate and rational desert construction in arid areas expanded the living space of human beings and improved the quality of the local ecological environment [67,68].…”
Section: Discussionsupporting
confidence: 59%
See 1 more Smart Citation
“…This method presented an apparent advantage compared with other studies and can be applied to assess vulnerability, particularly in arid lands. In TRB, ecological vulnerability showed a distribution pattern which not only corresponded with the actual situation, a typical mountain-oasis-desert pattern in an arid area, but was also consistent with the development requirements of the region [44]. Adequate and rational desert construction in arid areas expanded the living space of human beings and improved the quality of the local ecological environment [67,68].…”
Section: Discussionsupporting
confidence: 59%
“…In 2017, the population and gross national product accounted for 11.83% and 28.51% of Xinjiang, respectively, while the land area accounted for 1.39% of Xinjiang. However, because of the typical temperate continental arid climate and increasing development intensity in the middle oasis, urban expansion [43], lack of water resources [44], environment pollution [45], soil erosion [46], desertification [47], and the fragile ecological environment have already negatively influenced the local development and posed great challenges to the sustainable development of the basin, making the TRB appropriate for assessing ecological vulnerability. Establishing a quantitative ecological vulnerability assessment framework in a raster scale is important for a more detailed understanding of the ecosystem in TRB.…”
Section: Introductionmentioning
confidence: 99%
“…To date, the work has been translated into English, Italian, German, Mongolian, Chinese, and many other languages [ 19 , 20 ]. There are three editions of Chinese translation: Journey to the Dead City (Guixing Chen, 2001) [ 21 ], Mongolia, Amdo and The Dead city of Harahot (Xilong Wang, Shuqing Ding, 2002) [ 22 ], and Mongolia, Amdo and The Dead city of Harahot (full version) (Xilong Wang, Shuqing Ding, 2011) [ 23 ].
Fig.
…”
Section: Introductionmentioning
confidence: 99%
“…The evaluation result reflects the matching degree between land characteristics and agricultural requirements [3,7]. It has been applied to analyze agricultural development potential [8], optimize land use patterns, identify spatial conflicts, improve agricultural land productivity, develop crop insurance models [9], and conduct major function-oriented zoning [10].…”
Section: Introductionmentioning
confidence: 99%
“…CI 1 represents the consistency index of agricultural land, calculated by Equation(9). CI average represents the average consistency index, which is equal to the average of CI 0 and CI 1 , calculated by Equation(10).…”
mentioning
confidence: 99%