Assessment of agricultural production suitability in Nantong City based on ArcGIS technology

LIN Yan; BAI Xiujia; YE Zeyu; ZHANG Heng

2021 Vol. 40, No. 6

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LIN Yan, BAI Xiujia, YE Zeyu, ZHANG Heng. Assessment of agricultural production suitability in Nantong City based on ArcGIS technology[J]. Geological Bulletin of China, 2021, 40(6): 968-977.

Citation:

LIN Yan, BAI Xiujia, YE Zeyu, ZHANG Heng. Assessment of agricultural production suitability in Nantong City based on ArcGIS technology[J]. Geological Bulletin of China, 2021, 40(6): 968-977.

Assessment of agricultural production suitability in Nantong City based on ArcGIS technology

General Prospecting Institute, China National Administration of Coal Geology, Beijing 100039, China

Received Date: 10 February 2020

Revised Date: 08 July 2020

Publish Date: 15 June 2021

Abstract

Abstract

Based on the regional adaptation of agricultural production, the change of crop planting structure and the industrial layout adjustment, as a result of environmental change, Nantong City was selected to build an evaluation system of agricultural production factors with accumulated temperature, annual precipitation, soil fertility, soil heavy metals and slope advantages.The results show the accumulated temperature of Nantong City is high and the interannual variation is generally increasing.The interannual variation of precipitation fluctuates greatly with a trend of firstly increasing and then decreasing over the years.There is a negative correlation between the sunshine duration and the variation of precipitation.Both total nitrogen and the available phosphorus content in soil meet the secondary requirements of soil nutrient standard, while the content of available potassium only meets the requirements of the fourth standard level.The Nemero index of heavy metals in soil is between 0.26 and 0.4, indicating that the environmental quality of soil is safe.Based on ArcGIS technology, spatial analysis and other technical methods are used to classify agricultural areas of Nantong into 4 levels.As a result, Haian is rated as the first-tier suitable area (the most suitable), municipal district of Nantong City and Rudong as the secondary one, Tongzhou and Haimen as the third one, and Qidong and Rugao are rated as the fourth one.The evaluation of agricultural production suitability in Nantong City is expected to provide a reference for layout of crop production and territorial space planning scientifically and rationally.
- ArcGIS technology /
- evaluation factors /
- evaluation system /
- agricultural production suitability /
- Nantong City

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References

[1]	郭佳, 张宝林, 高聚林, 等. 气候变化对中国农业气候资源及农业生产影响的研究进展[J]. 北方农业学报, 2019, 47(1): 105-113. doi: 10.3969/j.issn.2096-1197.2019.01.18 CrossRef Google Scholar
[2]	Zhang L, Song W, Song W. Assessment of agricultural drought risk in the Lancang-Mekong Region, South East Asia[J]. International Journal of Environmental Research and Public Health, 2020, 17(17): 6153-6176. doi: 10.3390/ijerph17176153 CrossRef Google Scholar
[3]	Wielemaker R, Wilken C, Chen W S, et al. Resource Dynamo: A GIS model to match urban nutrient supply with agricultural demand[J]. Journal of Cleaner Production, 2020, 258: 120789. doi: 10.1016/j.jclepro.2020.120789 CrossRef Google Scholar
[4]	Stork M, Schulte A, Murach D. Large-scale fuelwood production on agricultural fields in mesoscale river catchments-GIS-based determination of potentials in the Dahme river catchment(Brandenburg, NE Germany)[J]. Biomass and Bioenergy, 2014, 64: 42-49. doi: 10.1016/j.biombioe.2014.03.029 CrossRef Google Scholar
[5]	AK A, MPb C, SC A, et al. Land evaluation for sustainable development of Himalayan agriculture using RS-GIS in conjunction with analytic hierarchy process and frequency ratio[J]. Journal of the Saudi Society of Agricultural Sciences, 2021, 20(1): 1-17. doi: 10.1016/j.jssas.2020.10.001 CrossRef Google Scholar
[6]	Seyedmohammadi J, Sarmadian F, Jafarzadeh A A, et al. Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture[J]. Geoderma, 2019, 352: 80-95. doi: 10.1016/j.geoderma.2019.05.046 CrossRef Google Scholar
[7]	吕建树. 江苏典型海岸带土壤及沉积物重金属环境地球化学研究[D]. 南京大学博士学位论文, 2015. Google Scholar
[8]	巩万合, 王志强, 郁伟, 等. 南通市农田土壤重金属含量及评价[J]. 黑龙江农业科学, 2014, (10): 34-39. Google Scholar
[9]	巩万合, 王志强, 阚建鸾. 长三角典型农业区耕地土壤重金属污染与潜在生态风险评价[J]. 湖北农业科学, 2017, 56(23): 4493-4496. Google Scholar
[10]	巩万合, 郁伟, 王志强, 等. 南通市耕地土壤肥力演变趋势及培肥对策[J]. 现代农业科技, 2014, (8): 189-191. doi: 10.3969/j.issn.1007-5739.2014.08.119 CrossRef Google Scholar
[11]	巩万合, 杨连飞, 刘蓉蓉, 等. 江苏南通地区耕层土壤微量元素含量与有效性评价[J]. 江苏农业科学, 2014, 42(11): 378-380. Google Scholar
[12]	金成伟, 闫德智, 贾凤薇. 南通市不同农业土地利用方式对土壤理化性质的影响[J]. 江苏农业科学, 2013, 41(6): 336-339. doi: 10.3969/j.issn.1002-1302.2013.06.121 CrossRef Google Scholar
[13]	于淼, 吕晓, 廉丽姝, 等. 江苏省沿海地区土地利用变化及其生态效应[J]. 水土保持通报, 2017, 37(3): 131-139. Google Scholar
[14]	宁立新, 周云凯, 张启斌, 等. 近19年江苏海岸带地区土地利用变化特征[J]. 水土保持研究, 2017, 24(4): 227-233. Google Scholar
[15]	王雪薇, 董增川, 韩锐. 江苏省东台市近65年气温和降水量特征分析[J]. 水电能源科学, 2017, 35(11): 6-9, 21. Google Scholar
[16]	王涛, 陶辉, 杨强. 南通地区1960年-2007年气温与降水的年际和季节变化特征[J]. 资源科学, 2011, 33(11): 2080-2089. Google Scholar
[17]	仇娟娟, 宋正逵, 周荣, 等. 南通市洪涝灾害案例分析与对策探讨[J]. 中国西部科技, 2014, 13(9): 57-59. doi: 10.3969/j.issn.1671-6396.2014.09.025 CrossRef Google Scholar
[18]	陈烨丽. 气象灾害对南通市通州区蔬菜生产的影响及防御措施[J]. 上海农业科技, 2016, (5): 27-28. doi: 10.3969/j.issn.1001-0106.2016.05.014 CrossRef Google Scholar
[19]	黄燕如, 郑玉萍, 廖楠. 基于国土空间规划背景的双评价应用研究——以广州市番禺区生态适宜性评价为例[J]. 现代信息科技, 2020, 4(11): 121-125. Google Scholar
[20]	严圣华, 黄跃飞, 熊娟, 等. 基于"双评价"的市县土地资源评价——以大冶市为例[J]. 国土与自然资源研究, 2020, 000(001): 43-47. Google Scholar
[21]	杜海娥, 李正, 郑煜. 资源环境承载能力评价和国土空间开发适宜性评价研究进展[J]. 中国矿业, 2019, 28(S2): 159-165. Google Scholar
[22]	李瑞敏, 殷志强, 李小磊, 等. 资源环境承载协调理论与评价方法[J]. 地质通报, 2020, 39(1): 80-87. Google Scholar
[23]	王忠蕾, 张训华, 许淑梅, 等. 海岸带地区环境承载能力评价研究综述[J]. 海洋地质动态, 2010, 26(8): 28-34. Google Scholar
[24]	陈武, 李瑞敏, 殷志强, 等. 贵州乌蒙山毕节市七星关区资源环境承载能力评价[J]. 地质通报, 2020, 39(1): 114-123. Google Scholar
[25]	曾毅, 项广鑫, 蒋星祥, 等. 基于国土空间自然适宜性的三类空间划分方法——以湖南省为例[J]. 地质通报, 2020, 39(1): 138-145. Google Scholar
[26]	丰继林, 刘帅, 黄猛. Excel数据与GIS空间数据转换技术研究[J]. 中国新通信, 2013, 15(10): 90-91. doi: 10.3969/j.issn.1673-4866.2013.10.070 CrossRef Google Scholar
[27]	董敏, 孙宝生, 陈川. 基于ArcGIS的地质图图例绘制及意义——以《西准噶尔地区地质图》为例[J]. 新疆地质, 2010, 28(1): 116-118. doi: 10.3969/j.issn.1000-8845.2010.01.023 CrossRef Google Scholar
[28]	葛全胜, 陈泮勤, 方修琦, 等. 全球变化的区域适应研究: 挑战与研究对策[J]. 地球科学进展, 2004(4): 516-524. doi: 10.3321/j.issn:1001-8166.2004.04.005 CrossRef Google Scholar
[29]	钱凤魁, 王文涛, 刘燕华. 农业领域应对气候变化的适应措施与对策[J]. 中国人口资源与环境, 2014, 24(5): 19-24. Google Scholar
[30]	廖启林, 刘聪, 金洋, 等. 江苏土壤地球化学分区[J]. 地质学刊, 2011, 35(3): 225-235. doi: 10.3969/j.issn.1674-3636.2011.03.225 CrossRef Google Scholar
[31]	Lv J, Liu Y, Zhang Z, et al. Distinguishing anthropogenic and natural sources of trace elements in soils undergoing recent 10-year rapid urbanization: a case of Donggang, Eastern China[J]. Environmental Science and Pollution Research, 2015, 22(14): 10539-10550. doi: 10.1007/s11356-015-4213-4 CrossRef Google Scholar
[32]	马志军. 江苏省盐城市沿海滩涂资源可持续开发利用研究[D]. 南京农业大学硕士学位论文, 2006. Google Scholar
[33]	毛桂囡, 龚政, 赵立梅, 等. 江苏入海河道河口治导线研究[J]. 河海大学学报(自然科学版), 2010, 38(4): 462-466. doi: 10.3876/j.issn.1000-1980.2010.04.021 CrossRef Google Scholar
[34]	杨宏忠. 关于海岸滩涂资源投资开发模式的探讨[J]. 中国农垦, 2012, (12): 55-57. doi: 10.3969/j.issn.0529-6382.2012.12.022 CrossRef Google Scholar
[35]	张蛟, 冯芝祥, 崔世友, 等. 滩涂垦区不同盐分水平土壤的盐分动态及土壤因子变化[J]. 江苏农业报, 2017, 33(4): 836-842. Google Scholar