Land use zoning using a coupled gridding-self-organizing feature maps method: A case study in China. (10th September 2017)
- Record Type:
- Journal Article
- Title:
- Land use zoning using a coupled gridding-self-organizing feature maps method: A case study in China. (10th September 2017)
- Main Title:
- Land use zoning using a coupled gridding-self-organizing feature maps method: A case study in China
- Authors:
- Fei, Duqiu
Cheng, Qiong
Mao, Xufeng
Liu, Fenggui
Zhou, Qiang - Abstract:
- Abstract: Huangshui River Valley (HRV) is a typical valley area located in the northeast of the Qinghai-Tibetan plateau. Its long and narrow space, large vertical gradient and diverse land use types bring great challenges to the land use zoning in this region. The paper aims to propose a gridding-self-organizing feature maps (SOFM) coupled method based on grid cell, which will be more reliable and refined, if compared to the method of commonly used administrative regions as the basic analytic units. Firstly the focused study area is divided into 500 m × 500 m grid cells. Six indexes, including grassland, cultivated land, forest land, construction land, population density and per capita income are both spatialized and quantified in every grid. Meanwhile, that SOFM neural network model is at the usage of classifying the land use into six zoning areas can be certain. And urban area, urban-rural transition area, agriculture-forestry transition area, typical agricultural area, agriculture-pastoral transition area, and typical pastoral area are sure to belong to them. Its results can vividly indicate the actual situation where land use pattern is in constant changes in Huangshui River Valley (HRV). The research will provide a specific method for the substantial utilization of land resources. Highlights: A Gridding-SOFM coupled method was developed to study the land use zoning. The Huangshui River valley in Qinghai-Tibet Plateau was used as an example. Results showed that the landAbstract: Huangshui River Valley (HRV) is a typical valley area located in the northeast of the Qinghai-Tibetan plateau. Its long and narrow space, large vertical gradient and diverse land use types bring great challenges to the land use zoning in this region. The paper aims to propose a gridding-self-organizing feature maps (SOFM) coupled method based on grid cell, which will be more reliable and refined, if compared to the method of commonly used administrative regions as the basic analytic units. Firstly the focused study area is divided into 500 m × 500 m grid cells. Six indexes, including grassland, cultivated land, forest land, construction land, population density and per capita income are both spatialized and quantified in every grid. Meanwhile, that SOFM neural network model is at the usage of classifying the land use into six zoning areas can be certain. And urban area, urban-rural transition area, agriculture-forestry transition area, typical agricultural area, agriculture-pastoral transition area, and typical pastoral area are sure to belong to them. Its results can vividly indicate the actual situation where land use pattern is in constant changes in Huangshui River Valley (HRV). The research will provide a specific method for the substantial utilization of land resources. Highlights: A Gridding-SOFM coupled method was developed to study the land use zoning. The Huangshui River valley in Qinghai-Tibet Plateau was used as an example. Results showed that the land use zoning can be categorized into six land-use zonings areas. Field verification results indicate the fitness of the proposed method for land use zoning. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 161(2017)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 161(2017)
- Issue Display:
- Volume 161, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 161
- Issue:
- 2017
- Issue Sort Value:
- 2017-0161-2017-0000
- Page Start:
- 1162
- Page End:
- 1170
- Publication Date:
- 2017-09-10
- Subjects:
- Gridding-SOFM coupled method -- Land-use zoning -- Huangshui River valley
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2017.05.028 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4625.xml