|Table of Contents|

Huanglong Walnut Suitability Evaluation Based on GIS

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年15
Page:
89-95
Research Field:
Publishing date:

Info

Title:
Huanglong Walnut Suitability Evaluation Based on GIS
Author(s):
HE Zhengbing1; XU Yao2; LI Yanjie2
(1.Shaanxi Longtu Forestry Bureau,Foping,Shaanxi 712100;2.College of Forestry,Northwest A&F University,Yangling,Shaanxi 712100)
Keywords:
GIS; walnut; regression inverse distance weighting; fuzzy comprehensive evaluation method; eco-climatic suitability evaluation
PACS:
-
DOI:
10.11937/bfyy.20194100
Abstract:
Huanglong of Shaanxi Province was taken as the research object.Based on the meteorological data and DEM of the seven observatories of the county meteorological bureau from 2007 to 2014,the grid transformation of 30 m×30 m grid was used as the statistical unit.Using the comprehensive interpolation of GIS inverse distance weight method and fuzzy comprehensive evaluation methods and related mathematical models to evaluate the ecological climate suitability of walnut in Huanglong,Shaanxi Province.The results showed that the evaluation index system and evaluation index of walnut suitableness in Huanglong based on 8 evaluation factors,the fuzzy comprehensive evaluation method was used to divide the eco-climatic suitability of Huanglong′s walnuts into the most suitable areas,general suitable areas and unsuitable areas,which were basically accord with the local actual situation.The thematic map of walnut planning suitable areas in Huanglon,which was completed by ArcGIS,had a certain guiding role in the development of walnut industry in Huanglong.Through comprehensive evaluation of walnut suitability in the study area,it was found that the southwestern part of the town and the middle part of Sancha township,the southwestern part of Jietoumiao town,and the southern part of the Fanjiazhuozi community had the best suitability.Other areas were not as suitable as these areas,and a few areas were not suitable for planting walnuts.

References:

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Last Update: 2020-10-29