县域尺度下安徽省耕地质量定级研究——以金安区为例
|
摘要
耕地质量定级是实现对土地自然经济区位属性进行综合评价管理,科学量化耕地数量、质量及分布情况的重要手段。本研究以金安区为例,确定坡度、灌溉保证率、土壤污染状况、中心城镇影响度等21个因子为必选因子,地形部位和土壤养分状况为备选因子,通过特尔斐法获得因子权重,基于网络分析、耗费路径等GIS分析工具,运用衰减法、均值度法与最大最小值法等确定因子分值,计算定级指数。检验发现金安区耕地质量经济效益与耕地定级指数的相关性分析达极显著性水平,根据总分频率曲线法划定级别得出金安区耕地共划分为四个级别。研究结果表明:金安区耕地主要以二级地为主,占全县耕地的48.36%,以三十铺镇最多;一、三级耕地次之,分别占21.91%与29.09%;四级地最少,只有0.64%。耕地总体质量较好。同时,金安区耕地级别呈现出明显的空间分布规律,东高西低,北高南低,与路网密度、城镇化水平、灌溉条件与地形关联密切且级别也反映出耕地在利用方式上的差异。
Cultivated land is the basis of human agricultural production activities, and its quality determines the production capacity of cultivated land. The Jin'an district research area determines 21 factors such as slope, irrigation guarantee rate and central urban influence degree as the mandatory factors. The topographical position and soil nutrient status are the alternative factors. The factor weight is obtained by Delphi method. The grading unit calculates the grading index. The research results show that the correlation between the economic benefits of cultivated land quality and the grading index of cultivated land in Jin'an district is extremely significant. According to the total score frequency curve method, the arable land in Jin'an district isobtained. It is divided into four levels. The cultivated land in Jin'an District is mainly Grade II, accounting for 48.36% of the cultivated land in the county, with the most in the 30 th town; the first and third grades are the second, accounting for 21.91% and29.09% respectively; the fourth level is the least, only 0.64%.The overall quality of cultivated land is good. At the same time,the cultivated land level in Jin'an district showed obvious spatial distribution pattern, which was low in the east, low in the west,high in the north and low in the south. It was closely related to road network density, urbanization level, irrigation conditions and topography, and the level also reflected the difference in utilization mode of cultivated land.
Cultivated land is the basis of human agricultural production activities, and its quality determines the production capacity of cultivated land. The Jin'an district research area determines 21 factors such as slope, irrigation guarantee rate and central urban influence degree as the mandatory factors. The topographical position and soil nutrient status are the alternative factors. The factor weight is obtained by Delphi method. The grading unit calculates the grading index. The research results show that the correlation between the economic benefits of cultivated land quality and the grading index of cultivated land in Jin'an district is extremely significant. According to the total score frequency curve method, the arable land in Jin'an district isobtained. It is divided into four levels. The cultivated land in Jin'an District is mainly Grade II, accounting for 48.36% of the cultivated land in the county, with the most in the 30 th town; the first and third grades are the second, accounting for 21.91% and29.09% respectively; the fourth level is the least, only 0.64%.The overall quality of cultivated land is good. At the same time,the cultivated land level in Jin'an district showed obvious spatial distribution pattern, which was low in the east, low in the west,high in the north and low in the south. It was closely related to road network density, urbanization level, irrigation conditions and topography, and the level also reflected the difference in utilization mode of cultivated land.
引文
[1]朱德举.农用地分等定级标准样地理论与实践[M].北京:中国财政经济出版社,2006.
[2]赵丹.泾阳县耕地定级研究[D].长安大学,2007.
[3] De Garis S A. Valuations of rural leasehold and licensed land in Victoria, Australia[J]. Appraisal Journal, 2010:147-148.
[4]吴群.农用地质量等级划分依据及其基本思路[J].南京农业大学学报(社会科学版),2002,2(1):38-42.
[5]聂艳,周勇,陈平,等.基于GIS的耕地定级方法及其应用[J].长江流域资源与环境,2005,14(3):342-347.
[6]胡存智.中国农用土地分等定级理论与方法研究——兼论《农用地分等规程》总体思路及技术方案设计[J].中国土地科学,2012,(3):4-13.
[7]赵登辉,郭川.对耕地定级与估价几个问题的思考[J].中国土地,1997,(12):18+25.
[8]冯莎,于婧. BP人工神经网络在嘉鱼县农用地定级中的应用研究[J].科技经济市场,2012,(2):4-6.
[9]贾雷,张孝成,星财华,等.基于新规程的耕地定级估价———石柱县实证研究[J].江西农业学报,2013,(6):111-115.
[10]詹波.基于GIS的连城县耕地质量分等定级研究[J].湖南农业科学,2016,(03):49-51+54.
[11]许婷,饶磊,赵小敏,等.农村集体建设用地定级研究——以江西省锦江镇为例[J].江西农业大学学报,2018,40(01):198-205.
[12]金晓斌,张鸿辉,周寅康.农用地定级综合评价中权重系数确定方法探讨[J].南京大学学报(自然科学版),2008,44(4):116-125.
[13]高中贵,彭补拙.我国农用地分等定级研究综述[J].经济地理,2004,24(4):514-519.
[14]王凌云.基于土地利用功能分区的怀来县耕地保护等级评价研究[D].河北农业大学,2013.
[15]刘洁,李宏,高敏华.农用地定级与基准地价评估研究———以吐鲁番市为例[J].中国农业资源与区划,2011,32(2):6-12.
[16] Q Li, X Xu. Research on agricultural land classification method in Zhashui County. International Symposium on Water Resource&Environment Protection, 2011,(4):2812-2815.
[17] GB/T 28405-2012,农用地定级规程[S].中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会,2012.
[18]范胜龙,黄炎和,林金石,等.农用地级别划分的常用方法比较[J].中国土地科学,2010,24(12):38-44.
[19]刘越岩,周勇,肖辉.基于GIS的鄂州市农用地定级评价研究[J].中国农业资源与区划,2005,26(3):32-35.
[20]卫俊.传统统计法与分形法在区域化探中对比[J].科技视界,2014,(33):323-324.
[2]赵丹.泾阳县耕地定级研究[D].长安大学,2007.
[3] De Garis S A. Valuations of rural leasehold and licensed land in Victoria, Australia[J]. Appraisal Journal, 2010:147-148.
[4]吴群.农用地质量等级划分依据及其基本思路[J].南京农业大学学报(社会科学版),2002,2(1):38-42.
[5]聂艳,周勇,陈平,等.基于GIS的耕地定级方法及其应用[J].长江流域资源与环境,2005,14(3):342-347.
[6]胡存智.中国农用土地分等定级理论与方法研究——兼论《农用地分等规程》总体思路及技术方案设计[J].中国土地科学,2012,(3):4-13.
[7]赵登辉,郭川.对耕地定级与估价几个问题的思考[J].中国土地,1997,(12):18+25.
[8]冯莎,于婧. BP人工神经网络在嘉鱼县农用地定级中的应用研究[J].科技经济市场,2012,(2):4-6.
[9]贾雷,张孝成,星财华,等.基于新规程的耕地定级估价———石柱县实证研究[J].江西农业学报,2013,(6):111-115.
[10]詹波.基于GIS的连城县耕地质量分等定级研究[J].湖南农业科学,2016,(03):49-51+54.
[11]许婷,饶磊,赵小敏,等.农村集体建设用地定级研究——以江西省锦江镇为例[J].江西农业大学学报,2018,40(01):198-205.
[12]金晓斌,张鸿辉,周寅康.农用地定级综合评价中权重系数确定方法探讨[J].南京大学学报(自然科学版),2008,44(4):116-125.
[13]高中贵,彭补拙.我国农用地分等定级研究综述[J].经济地理,2004,24(4):514-519.
[14]王凌云.基于土地利用功能分区的怀来县耕地保护等级评价研究[D].河北农业大学,2013.
[15]刘洁,李宏,高敏华.农用地定级与基准地价评估研究———以吐鲁番市为例[J].中国农业资源与区划,2011,32(2):6-12.
[16] Q Li, X Xu. Research on agricultural land classification method in Zhashui County. International Symposium on Water Resource&Environment Protection, 2011,(4):2812-2815.
[17] GB/T 28405-2012,农用地定级规程[S].中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会,2012.
[18]范胜龙,黄炎和,林金石,等.农用地级别划分的常用方法比较[J].中国土地科学,2010,24(12):38-44.
[19]刘越岩,周勇,肖辉.基于GIS的鄂州市农用地定级评价研究[J].中国农业资源与区划,2005,26(3):32-35.
[20]卫俊.传统统计法与分形法在区域化探中对比[J].科技视界,2014,(33):323-324.