基于模糊数学的柑橘种植土地适宜性评价

doi:10.3969/j.issn.1004-1524.2022.01.17

浙江农业学报 ›› 2022, Vol. 34 ›› Issue (1): 141-152.DOI: 10.3969/j.issn.1004-1524.2022.01.17

基于模糊数学的柑橘种植土地适宜性评价

习文勇(), 傅佩红^*()

华中农业大学资源与环境学院,湖北武汉 430070

收稿日期:2021-03-03 出版日期:2022-01-25 发布日期:2022-02-05
通讯作者: 傅佩红
作者简介:* 傅佩红,E-mail: fph@mail.hzau.edu.cn
习文勇(1995—),男,江西樟树人,硕士研究生,研究方向为土地资源评价与管理。E-mail: 1975116967@qq.com
基金资助:
中央高校基本科研业务费专项资金(2662019PY074);国家重点研发计划(2017YFD0202000)

Land suitability evaluation of citrus cultivation based on fuzzy mathematics

XI Wenyong(), FU Peihong^*()

College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China

Received:2021-03-03 Online:2022-01-25 Published:2022-02-05
Contact: FU Peihong

摘要/Abstract

摘要：

将模糊数学理论引入柑橘种植的土地适宜性评价中,以湖北省通山县为例,在当地的农用地中采集207个土壤样本点,将气候、土壤和地形数据转换为模糊隶属度数据,然后在ArcGIS软件环境中结合层次分析法和模糊数学方法,建立包含15项指标的柑橘种植土地适宜性评估模型。结果表明,该区域有26.94%(652.37 km²)、32.85%(795.51 km²)、23.14%(560.42 km²)和17.07%(413.40 km²)的土地分别非常适合、适中、勉强适合和不适合柑橘生产。研究结果与当地生产实际相吻合,说明建立的研究方法可行,可为提高土地利用效率,以及更好地指导柑橘生产提供参考。

关键词: 通山县, 模糊数学, 柑橘, 适宜性评价

Abstract:

This study introduces fuzzy mathematics theory into the land suitability evaluation for citrus planting.By taking Tongshan County in Hubei Province as an example, 207 soil sample points were collected from local agricultural land, and climate, soil and topographic data were converted into fuzzy membership data.Then, the analytic hierarchy process and fuzzy mathematics method in the ArcGIS software environment were combined, and a suitability evaluation model of citrus planting land containing 15 indicators was established. The results showed that 26.94% (652.37 km²), 32.85% (795.51 km²), 23.14% (560.42 km²) and 17.07% (413.40 km²) of the land in this area were highly suitable, moderately suitable, marginally suitable and not suitable for citrus production, respectively. The research results were consistent with the actual production, indicating that the established research methods were feasible and could provide references for improving land utilization efficiency and better guiding citrus production.

Key words: Tongshan County, fuzzy mathematics, citrus, suitability evaluation

中图分类号:

S-03
P964

习文勇, 傅佩红. 基于模糊数学的柑橘种植土地适宜性评价[J]. 浙江农业学报, 2022, 34(1): 141-152.

XI Wenyong, FU Peihong. Land suitability evaluation of citrus cultivation based on fuzzy mathematics[J]. Acta Agriculturae Zhejiangensis, 2022, 34(1): 141-152.

图/表 11

参考文献 24

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样本属性 Sample attribute	有效样本数 Effective samples number	最小值 Minimum	最大值 Maximum	平均值 Average	中位数 Median	标准差 Standard deviation	偏度 Skewness	峰度 Kurtosis
有机质Organic matter/(g·kg^-1)	201	9.75	43.2	22.04	21.2	6.74	0.79	3.50
有效磷Available P/(mg·kg^-1)	192	4.8	112.8	21.66	14.5	18.57	2.12	8.22
速效钾Available K/(mg·kg^-1)	191	55	253	116.57	105.5	45.08	1.09	3.77
pH	200	4.37	7.68	6.27	6.17	0.64	0.18	2.47
土壤容重Soil bulk density/(g·cm^-3)	202	0.85	1.11	0.97	0.97	0.04	-0.12	2.81

样本属性 Sample attribute	有效样本数 Effective samples number	最小值 Minimum	最大值 Maximum	平均值 Average	中位数 Median	标准差 Standard deviation	偏度 Skewness	峰度 Kurtosis
有机质Organic matter/(g·kg^-1)	201	9.75	43.2	22.04	21.2	6.74	0.79	3.50
有效磷Available P/(mg·kg^-1)	192	4.8	112.8	21.66	14.5	18.57	2.12	8.22
速效钾Available K/(mg·kg^-1)	191	55	253	116.57	105.5	45.08	1.09	3.77
pH	200	4.37	7.68	6.27	6.17	0.64	0.18	2.47
土壤容重Soil bulk density/(g·cm^-3)	202	0.85	1.11	0.97	0.97	0.04	-0.12	2.81

目标层Target layer	准则层Criterion layer	指标层Index layer	权重Weight
土地适宜性Land suitability	气候Climate(0.214 3)	年平均温度Annual average temperature(0.333 3)	0.071 4
		年最低温度Annual minimum temperature(0.333 3)	0.071 4
		年降水量Annual precipitation(0.166 7)	0.035 7
		相对湿度Relative humidity(0.166 7)	0.035 7
	土壤理化性质	有机质Organic matter(0.447 7)	0.159 9
	Soil physical and chemical properties	有效磷Available P(0.191 0)	0.068 2
	(0.357 1)	速效钾Available K(0.191 0)	0.068 2
		pH(0.115 1)	0.041 1
		土壤容重Soil bulk density(0.055 2)	0.019 7
	地形Terrain(0.142 9)	海拔Elevation(0.573 6)	0.081 9
		坡度Slope(0.139 9)	0.020 0
		坡向Aspect(0.286 4)	0.040 9
	土质条件Soil condition(0.285 7)	质地构型Texture configuration(0.128 5)	0.036 7
		土壤类型Soil type(0.594 9)	0.170 0
		土壤质地Soil texture(0.276 6)	0.079 0

目标层Target layer	准则层Criterion layer	指标层Index layer	权重Weight
土地适宜性Land suitability	气候Climate(0.214 3)	年平均温度Annual average temperature(0.333 3)	0.071 4
		年最低温度Annual minimum temperature(0.333 3)	0.071 4
		年降水量Annual precipitation(0.166 7)	0.035 7
		相对湿度Relative humidity(0.166 7)	0.035 7
	土壤理化性质	有机质Organic matter(0.447 7)	0.159 9
	Soil physical and chemical properties	有效磷Available P(0.191 0)	0.068 2
	(0.357 1)	速效钾Available K(0.191 0)	0.068 2
		pH(0.115 1)	0.041 1
		土壤容重Soil bulk density(0.055 2)	0.019 7
	地形Terrain(0.142 9)	海拔Elevation(0.573 6)	0.081 9
		坡度Slope(0.139 9)	0.020 0
		坡向Aspect(0.286 4)	0.040 9
	土质条件Soil condition(0.285 7)	质地构型Texture configuration(0.128 5)	0.036 7
		土壤类型Soil type(0.594 9)	0.170 0
		土壤质地Soil texture(0.276 6)	0.079 0

指标 Index	隶属函数类型 Membership function type	下限 Lower limit	最佳下限 Optimal lower limit	最佳上限 Optimal upper limit	上限 Upper limit
年平均温度Annual average temperature/℃	S型Sigmoid	13	—	—	17
年最低温度Annual minimum temperature/℃	S型Sigmoid	-10	—	—	-4
年降水量Annual precipitation/mm	S型Sigmoid	1 600	—	—	2 000
相对湿度Relative humidity/%	倒S型Inverted sigmoid	75	—	—	80
有效磷Available P/(mg·kg^-1)	S型Sigmoid	10	—	—	30
速效钾Available K/(mg·kg^-1)	S型Sigmoid	50	—	—	180
有机质Organic matter/(g·kg^-1)	抛物线型Parabolic	15	25	35	45
pH值 pH value	抛物线型Parabolic	5.0	6.5	7.0	7.5
土壤容重Soil bulk density/(g·cm^-3)	抛物线型Parabolic	0.5	1.5	2.0	3.0
海拔Elevation/m	抛物线型Parabolic	60	150	800	1 600
坡度Slope/(°)	倒S型Inverted sigmoid	6	—	—	25

基于模糊数学的柑橘种植土地适宜性评价

Land suitability evaluation of citrus cultivation based on fuzzy mathematics

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指标 Index	类型 Type	隶属度 Membership	指标层 Index layer	类型 Type	隶属度 Membership
坡向Aspect	平面Flat	1.0	质地构型	薄层型Thin layer type	0.55
	北North	0.3	Texture configuration	松散型Loose type	0.30
	东北Northeast	0.4		紧实型Compacttype	0.75
	东East	0.5		夹层型Mezzaninetype	0.85
	东南Southeast	0.8		上紧下松型Compact top and loose bottom type	0.40
	南South	1.0		上松下紧型Loose top and compact bottom type	1.00
	西南Southwest	0.7		海绵型Sponge type	0.95
	西West	0.5	土壤类型Soil type	红壤性土Red soil	0.95
	西北Northwest	0.2		红色石灰土Red lime soil	0.60
土壤质地Soil texture	砂土Sand	0.60		棕红壤Brown-red soil	0.90
	砂壤Sandy soil	0.85		棕色石灰土Brown lime soil	0.55
	轻壤Light soil	0.90		中性紫色土Neutral purple soil	0.65
	中壤Middle soil	1.00		典型黄棕壤Typical yellow-brown soil	0.80
	重壤Heavy soil	0.95		石灰性紫色土Calcareous purple soil	0.50
	黏土Clay	0.70

指标Index	适宜性等级Suitability level	面积Area/km²	占比Proportion/%	SI
气候Climate	S1	1 403.73	57.96	[0.79,0.99)
	S2	231.54	9.56	[0.74,0.79)
	S3	309.49	12.78	[0.65,0.74)
	N	476.95	19.69	[0.10,0.65)
土壤理化性质	S1	453.76	18.74	[0.79,0.99)
Soil physical and chemical properties	S2	371.80	15.35	[0.74,0.79)
	S3	822.76	33.97	[0.65,0.74)
	N	773.38	31.94	[0.10,0.65)
地形Terrain	S1	747.08	30.85	[0.79,0.99)
	S2	313.10	12.93	[0.74,0.79)
	S3	640.28	26.44	[0.65,0.74)
	N	721.25	29.78	[0.10,0.65)
土质条件Soil condition	S1	1 650.07	68.14	[0.79,0.99)
	S2	448.78	18.53	[0.74,0.79)
	S3	120.69	4.98	[0.65,0.74)
	N	202.16	8.35	[0.10,0.65)
土地适宜性Land suitability	S1	652.37	26.94	[0.79,0.99)
	S2	795.51	32.85	[0.74,0.79)
	S3	560.42	23.14	[0.69,0.74)
	N	413.40	17.07	[0.10,0.69)

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