Climate Suitability Analysis of Oat Planting Based on GIS in Ningxia

doi:10.11923/j.issn.2095-4050.cjas2020-0010

Abstract

Abstract:

In order to make rational use of climate resources, give full play to the role of meteorology in serving agriculture, and scientifically plan the development of oat industry in Ningxia. Based on the production and meteorological data of oats in central and southern Ningxia from 2017 to 2018, the climatic suitability zoning index of oats was determined by correlation analysis method. According to the climate data and geographic information data of 23 surface meteorological stations in Ningxia from 1981 to 2010, the spatial distribution of zoning indexes was simulated. Based on the weight of each index, the climate suitability zoning map of oats was obtained by raster calculation. The results showed that the climate suitable area was mainly distributed in the cold mountain area in the south of Ningxia, the secondary suitable area was mainly distributed in the arid and rainless area in the middle of Ningxia, and the unsuitable area was mainly distributed in the Yellow River Plain in the middle and north of Ningxia. The study could provide a scientific basis for the rational planning of the industrial layout, introduction and popularization of new varieties of oats in Ningxia.

Key words: Oat, Climate Suitability, Zoning, Ningxia, GIS

CLC Number:

S162.2

Zhao Jinlong, Wang Jinxin, Ma Liwen. Climate Suitability Analysis of Oat Planting Based on GIS in Ningxia[J]. Journal of Agriculture, 2021, 11(9): 79-84.

Figures/Tables 7

分区指标	适宜	次适宜	不适宜
5—6月降水量/mm	>90	60~90	<60
6—7月最高气温≥32℃日数/d	<5	5~10	>10
4—8月平均最高气温/℃	18~24	24~26	>26或<18
编码值T	2	1	0
综合指标P	8	1~4	0

分区指标	方程	决定系数	F值
5—6月降水量/mm	$Y = - 887.458 - 17.5034 φ + 14.68309 λ + 0.033857 h$	0.95	130.18
6—7月最高气温≥32℃日数/d	$Y = - 77.5207 + 3.744005 φ - 0.42716 λ - 0.0052 h$	0.81	26.65
4—8月平均最高气温/℃	$Y = 81.45128 - 0.14586 φ - 0.3824 λ - 0.0077 h$	0.97	209.28

分区指标	方程	决定系数	F值
5—6月降水量/mm	$Y = - 887.458 - 17.5034 φ + 14.68309 λ + 0.033857 h$	0.95	130.18
6—7月最高气温≥32℃日数/d	$Y = - 77.5207 + 3.744005 φ - 0.42716 λ - 0.0052 h$	0.81	26.65
4—8月平均最高气温/℃	$Y = 81.45128 - 0.14586 φ - 0.3824 λ - 0.0077 h$	0.97	209.28

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