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A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity

A Case Study of Henan, China

Bibliographic Data

ID15511770
AuthorsXiaotong Xie (China University of Mining and Technology), Xiaoshun Li (China University of Mining and Technology, corresponding author), Weikang He (0000-0002-5243-8253, China University of Mining and Technology)
Year2020
Volume17
Issue3
Pages900-900
Publication date2020-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17030900
PMID32024072
OpenAlexW3003243689
LanguageEN
Citations received4
References cited45

As a key element in China's spatial planning, the development zoning of land space has become a focus of China's current activity. During its rapid social and economic development, China has faced severe and diverse challenges regarding sustainable development, such as farmland occupation, environmental degradation, urban land disorder expansion, etc. Against this backdrop, research on the linkage between resource-environmental carrying capacity (RECC) and the development zoning of land space in the process of sustainable development has received increased attention, and an accurate evaluation of the RECC would provide useful guidance for Chinese policy makers to carry out the development zoning of land space. This paper uses Henan Province as an example to construct a comprehensive evaluation model of "resource carrying capacity (RCC)-eco-environmental carrying capacity (EECC)-socio-economic carrying capacity (SECC)", which calculates the level of RECC in a provincial area. In addition, this paper designs a correlation model between the RECC and the development zoning of land space, which uses a three-dimensional magic cube evaluation model to analyze the development zoning layout of land space. The results showed that a geographical pattern exists, where in the southwestern areas of Henan Province have a higher RECC than the central and northeastern areas. The results also indicated that the land space patterns of Henan Province can be divided into seven types of areas through a three-dimensional magic cube evaluation model, which can better reflect the spatial differentiation characteristics of the comprehensive index of RECC. The results of this study offer an important reference for policy-makers to make decisions and also provide a scientific and pragmatic basis for the formulation of sustainable development strategies

Business · Carrying capacity · China · Civil engineering · Environmental planning · Environmental resource management · Geography · Land use · Resource (disambiguation · Sustainable development · Zoning · Child Nutrition and Water Access · Computer Science · Engineering · Environmental Science · Water Resources and Sustainability · Ecology

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    Open Access•Michelle Graymore, M L M Graymore et al.•Ecological Economics•2010

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Unique citing works4
Citations per year0,8
Citation span2021 - 2022 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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