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author:

Wang, Xingfeng (Wang, Xingfeng.) [1] | Li, Daichao (Li, Daichao.) [2] (Scholars:李代超) | Wu, Sheng (Wu, Sheng.) [3] (Scholars:吴升) | Xie, Xiaowei (Xie, Xiaowei.) [4] | Lu, Jiaqi (Lu, Jiaqi.) [5]

Indexed by:

EI PKU

Abstract:

Carrying out the layout of the rice planting industry in a specific area is an important content of scientifically formulating the regional agricultural planting industry plan, and the comprehensive suitability evaluation of rice planting environment is the premise of rice planting industry layout. This paper takes Pucheng County, Fujian Province, a good grain and oil Demonstration County in China as the research area. The Analytic Hierarchy Model was used to construct a rice planting suitability evaluation system with 21 indicators in five categories: soil conditions, site conditions, irrigation and drainage conditions, climate conditions and mechanical farming conditions. The evaluation system uses geological models, regression models and spatial interpolation methods to calculate and simulate the spatial distribution data of evaluation indicators to form a 5 m× 5 m resolution evaluation index grid data set. The suitability index model was established by using experience index method to carry out comprehensive suitability evaluation of rice planting environment in fine scale. Analyzing the rice yield of the actual samples and the comprehensive suitability index of the rice planting environment, it was found that the two were significantly positively correlated, which verified the correctness and feasibility of the evaluation work of this study. Finally, the K- means attribute clustering method was used to identify the spatial pattern of multi- dimensional environmental suitability of rice planting in the research area. The results show that: The cultivated land area with high, relatively and moderately suitable rice planting in the study area accounted for 84.4% of the cultivated land area of the whole county, and the sub- suitable cultivated land only accounted for 15.6%. The overall suitability of cultivated land was relatively high. The comprehensive suitability for rice planting and the suitability of various indicators are higher in the type I cluster area. Type II cluster area have higher comprehensive suitability for rice planting, but the suitability of irrigation and drainage conditions is very low. The comprehensive suitability of rice planting in type III cluster area is relatively high, but the suitability of site conditions and soil conditions are lower. Type IV cluster area have low overall suitability for rice planting, and the lowest suitability for irrigation and drainage conditions. This study can provide a method for the evaluation of the suitability of rice planting, and provide a basis for Pucheng County to carry out agricultural planting planning more rationally and scientifically. © 2021, Science Press. All right reserved.

Keyword:

Climate models Cluster analysis Geographic information systems Irrigation K-means clustering Land use Oils and fats Regression analysis

Community:

  • [ 1 ] [Wang, Xingfeng]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 2 ] [Wang, Xingfeng]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350002, China
  • [ 3 ] [Wang, Xingfeng]National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350002, China
  • [ 4 ] [Li, Daichao]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 5 ] [Li, Daichao]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350002, China
  • [ 6 ] [Li, Daichao]National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350002, China
  • [ 7 ] [Wu, Sheng]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 8 ] [Wu, Sheng]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350002, China
  • [ 9 ] [Wu, Sheng]National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350002, China
  • [ 10 ] [Xie, Xiaowei]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 11 ] [Xie, Xiaowei]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350002, China
  • [ 12 ] [Xie, Xiaowei]National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350002, China
  • [ 13 ] [Lu, Jiaqi]The Academy of Digital China, Fuzhou University, Fuzhou; 350002, China
  • [ 14 ] [Lu, Jiaqi]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350002, China
  • [ 15 ] [Lu, Jiaqi]National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350002, China

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Source :

Journal of Geo-Information Science

ISSN: 1560-8999

CN: 11-5809/P

Year: 2021

Issue: 8

Volume: 23

Page: 1484-1496

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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