Zhang Mingjie, Zhao Yanxia. The climate suitability zoning method of the solar greenhouse in the Northern of China. J Appl Meteor Sci, 2013, 24(3): 278-286.
Citation: Zhang Mingjie, Zhao Yanxia. The climate suitability zoning method of the solar greenhouse in the Northern of China. J Appl Meteor Sci, 2013, 24(3): 278-286.

The Climate Suitability Zoning Method of the Solar Greenhouse in the Northern of China

  • Received Date: 2012-11-12
  • Rev Recd Date: 2013-03-21
  • Publish Date: 2013-06-30
  • With the mathematical statistical methods and consideration of the climatic condition requirements of solar greenhouse development, six factors which represent four aspects of light, temperature, wind and snow are chosen as the assessment indices based on the analysis of main climate factors related to solar greenhouse production in the northern of China. They are the total radiation in winter, the number of overcast days in solar greenhouse production season, the average temperature in winter, the annual extreme minimum temperature, the average monthly maximum wind velocity in production season and the average annual maximum snow depth. Then, using weighted index method, an integrated index model of climate suitability zoning is established. Index weights are determined by analytic hierarchy process. And last, a comprehensive climate zoning map of the solar greenhouse development is drawn out with GIS which divides the climatic suitability in this region into four grades: The most suitable, suitable, less suitable and unsuitable. In order to refine the zoning map, Ningxia and eastern Gansu, Henan, Shaanxi with different climatic characteristics in the study area are selected as three typical areas and more detailed climate suitability zoning are carried out, respectively. Results show that for differences of climate resources and their combination conditions, their effects on the development of solar greenhouse are different and weights of the same division index are distrinct in different areas. Fine zonings in typical areas can provide more practical guiding significance in greenhouse production run.In general, the zoning results are in line with the actual situation which proves the selection of index, the division of index threholds and the zoning method reasonable and feasible. At the same time, the quantitative description and complexicy of zoning indexes are realized by AHP and GIS tools. The zoning method not only has solid theory basis, but also is practical. Therefore, this attempt can provide an effective and reasonable way for future research. In addition, some development suggestions are discussed in accordance with the division results, providing reference basis for rationally utilizing climate resourses and adjusting the layout for solar greenhouse development reasonablly.
  • Fig. 1  The study area in the paper

    Fig. 2  Hierarchical structure of climatic suitability zoning indexes

    Fig. 3  Climatic suitability zoning map of solar greenhouse

    Fig. 4  Climatic suitability zoning map of solar greenhouse in typical study areas

    (a) Ningxia and eastern Gansu, (b) Shaanxi, (c) Henan

    Table  1  Limit value of zoning indexes

    区划指标 最适宜 适宜 次适宜 不适宜
    冬季总辐射C1/(MJ·m-2) C1≥920 920 > C1≥850 850 > C1≥700 C1 < 700
    生产季阴天日数C2/d C2≤30 30 < C2≤52 52 < C2≤80 C2 > 80
    冬季平均气温C3/℃ C3≥0 0 > C3≥-5 -5 > C3≥-8 C3 < -8
    年极端最低气温C4/℃ C4≥-10 -10 > C4≥-15 -15 > C4≥-20 C4 < -20
    生产季月最大风速平均值B3/(m·s-1) B3≤8 8 < B3≤11 11 < B3≤14 B3 > 14
    年最大积雪深度平均值B4/cm B4≤5 5 < B4≤7 7 < B4≤10 B4 > 10
    DownLoad: Download CSV

    Table  2  Judgment matrix of A-B

    A B1 B2 B3 B4
    B1 1 1 1 1
    B2 1 1 2 2
    B3 1 1/2 1 1
    B4 1 1/2 1 1
    DownLoad: Download CSV

    Table  3  Average random consistency index IR (the 1000 positive reciprocal matrix calculation results)

    矩阵阶数 IR
    1 0.00
    2 0.00
    3 0.52
    4 0.89
    5 1.12
    6 1.26
    7 1.36
    8 1.41
    9 1.46
    10 1.49
    11 1.52
    12 1.54
    13 1.56
    14 1.58
    15 1.59
    DownLoad: Download CSV

    Table  4  Judgment matrix of B-C

    B1 C1 C2 B2 C3 C4
    C1 1 1/2 C3 1 1/2
    C2 2 1 C4 2 1
    DownLoad: Download CSV

    Table  5  Index weight determined by analytic hierarchy process method

    层次 代号 该层次权重 相对目标权重
    A-B B1 0.244 0.244
    B2 0.345 0.345
    B3 0.205 0.205
    B4 0.205 0.205
    B1-C C1 0.333 0.081
    C2 0.667 0.163
    B2-C C3 0.333 0.115
    C4 0.667 0.230
    DownLoad: Download CSV

    Table  6  Index values in typical study areas

    气候特征值 宁夏和陇东地区 河南 陕西
    范围 平均 范围 平均 范围 平均
    生产季太阳总辐射/(MJ·m-2) 2557~2964 2785 2115~2525 2326 2299~3385 2639
    冬季总辐射/(MJ·m-2) 881~1010 941 680~859 755 634~971 859
    1月总辐射/(MJ·m-2) 281~325 304 218~282 243 205~317 279
    生产季总日照时数/h 966~2133 1491 934~1179 1059 641~1497 1082
    生产季阴天日数/d 22~76 41 68~886 77 33~123 75
    冬季日照时数/h 393~644 575 339~469 398 223~598 431
    1月日照时数/h 130~218 194 107~160 133 76~206 147
    冬季平均气温/℃ -6.72~-0.12 -4.34 0.64~3.94 2.26 -6.28~4.95 -0.21
    1月平均气温/℃ -8.61~-1.70 -6.29 -0.96~2.36 0.64 -8.83~3.63 -2.00
    年极端最低气温/℃ -23.46~-11.85 -19.15 -12.5~-7.35 -10.01 -24.10~-4.69 -13.43
    5年一遇最大风速/(m·s-1) 11.95~23.42 17.17 10.04~18.38 14.94 10.36~20.72 15.73
    生产季月最大风速均值/(m·s-1) 6.64~16.24 11.02 6.74~12.51 9.57 5.66~13.79 9.43
    5年一遇最大积雪深度/cm 6.05~17.44 10.29 9.63~19.59 14.35 5.29~14.17 9.61
    年最大积雪深度均值/cm 0.62~10.36 4.47 6.43~11.85 9.28 2.46~10.93 6.60
    DownLoad: Download CSV

    Table  7  Limit value of zoning indexes in typical study areas

    区划指标 最适宜 适宜 次适宜 不适宜
    冬季总辐射/(MJ·m-2) C1≥920 920 > C1≥850 850 > C1≥700 C1 < 700
    生产季阴天日数/d C 2≤30 30 < C2≤52 52 < C2≤80 C2 > 80
    冬季平均气温/℃ C3≥0 0 > C3≥-5 -5 > C3≥-8 C3 < -8
    年极端最低气温/℃ C4≥-10 -10 > C4≥-15 -15 > C4≥-20 C4 < -20
    5年一遇最大风速/(m·s-1) B5≤14 14 < B5≤17 17 < B5≤20 B5 > 20
    5年一遇最大积雪深度/cm B6≤8 8 < B6≤11 11 < B6≤15 B6 > 15
    DownLoad: Download CSV

    Table  8  Index weight determined by analytic hierarchy process method in typical study areas

    地区 冬季总辐射 生产季节阴天日数 冬季平均气温 年极端最低气温 生产季月最大风速均值 年最大积雪深度均值
    宁夏和陇东地区 0.117 0.117 0.122 0.243 0.277 0.125
    陕西 0.129 0.386 0.063 0.127 0.190 0.105
    河南 0.184 0.367 0.055 0.111 0.085 0.198
    DownLoad: Download CSV
  • [1]
    陈端生, 徐师华, 刘步洲.我国加温温室蔬菜合理布局的探讨.农业工程学报, 1985, 1(2):36-42. http://www.cnki.com.cn/Article/CJFDTOTAL-NYGU198502003.htm
    [2]
    张纪增.日光温室栽培区的划分.农村实用工程技术, 1991(3):12. http://www.cnki.com.cn/Article/CJFDTOTAL-NSGJ199103015.htm
    [3]
    崔读昌.中国农业气候学.杭州:浙江科学技术出版社, 1999. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
    [4]
    邱仲华, 康永故, 王捷, 等.甘肃高效节能日光温室区划初报.农业工程学报, 1996, 12(增刊):143-144. http://www.cnki.com.cn/Article/CJFDTOTAL-NKGL199705011.htm
    [5]
    吕国华, 汪洪礼, 史为民, 等.新疆节能日光温室发展区划与结构优化探讨.农业工程学报, 1996, 12(增刊):48-51. http://cdmd.cnki.com.cn/Article/CDMD-10712-2010050501.htm
    [6]
    齐玉春.我国东部淮河以北地区节能型日光温室蔬菜生产的气候区划风险初探.北京:中国农业大学, 1998.
    [7]
    汪李平, 向长萍.我国节能型日光温室的气候区划.农业工程学报, 1998, 14(增刊):36-41. http://www.cnki.com.cn/Article/CJFDTOTAL-NJYJ200605034.htm
    [8]
    张亚红, 陈青云.中国温室气候区划及评述.农业工程学报, 2006, 22(11):197-202. doi:  10.3321/j.issn:1002-6819.2006.11.040
    [9]
    赵子征.中国西北地区节能型日光温室蔬菜生产气候区划.北京:中国农业大学, 2005.
    [10]
    魏晓明, 齐飞, 丁小明.我国设施园艺发展区域适应性的研究.农机化研究, 2010, 32(5):212-216. http://www.cnki.com.cn/Article/CJFDTOTAL-NJYJ201005062.htm
    [11]
    朱琳, 叶殿秀, 陈建文, 等.陕西省冬小麦干旱风险分析及区划.应用气象学报, 2002, 13(2):201-206. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20020226&flag=1
    [12]
    郭文利, 王志华, 赵新平, 等.北京地区优质板栗细网格农业气候区划.应用气象学报, 2004, 15(3):382-384. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040347&flag=1
    [13]
    何燕, 李政, 廖雪萍.基于GIS的巴西陆稻IAPAR-9种植气候区划研究.应用气象学报, 2007, 18(2):219-224. doi:  10.11898/1001-7313.20070237
    [14]
    陈端生. 论加强设施园艺生产气候区划和微气候环境控制研究//工厂化农业可持续发展研讨会论文集. 北京: 北京出版社, 2000: 248-253.
    [15]
    陆魁东, 黄晚华, 方丽, 等.气象灾害指标在湖南春玉米种植区划中的应用.应用气象学报, 2007, 18(4):548-554. doi:  10.11898/1001-7313.20070416
    [16]
    鲁纯养.农业生物环境原理.北京:农业出版社, 1994:23-45. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
    [17]
    马承伟.农业设施设计与建造.北京:中国农业出版社, 2008:24-54. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
    [18]
    周长吉. 对我国"十五"温室产业发展的建议//工厂化农业可持续发展研讨会论文集. 北京: 北京出版社, 2000: 235-241.
    [19]
    孙智辉, 蒋小莉, 曹雪梅.延安日光温室内温度预测方法与指标的确立.中国农学通报, 2010, 26(15):372-377. http://www.cnki.com.cn/Article/CJFDTOTAL-ZNTB201015080.htm
    [20]
    孙智辉, 李宏群, 郑小阳.延安日光温室冬季低温冻害天气分析与预报.中国农业气象, 2005, 26(3):197-199. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY200503017.htm
    [21]
    崔建云, 董晨娥, 左迎之, 等.外部气象条件对日光温室气象条件的影响.气象, 2006, 32(3):101-106. doi:  10.7519/j.issn.1000-0526.2006.03.016
    [22]
    魏瑞江, 王春乙, 范增禄.石家庄地区日光温室冬季小气候特征及其与大气候的关系.气象, 2010, 36(1):98-103. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201001018.htm
    [23]
    赵鸿, 张强, 杨启国, 等.黄土高原半干旱雨养区日光温室小气候分析.应用气象学报, 2007, 18(5):628-634. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070596&flag=1
    [24]
    刘可群, 黎明锋, 杨文刚.大棚小气候特征及其与大气候的关系.气象, 2008, 34(7):102-107. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200807015.htm
    [25]
    崔海.宁夏NKWS-Ⅲ型日光温室环境特征及其对黄瓜生育生理的影响.银川:宁夏大学, 2009.
    [26]
    刘克长, 张继祥, 任宗兴.日光温室气象条件的观测研究.山东农业大学学报:自然科学版, 2001, 32(1):50-54. http://www.cnki.com.cn/Article/CJFDTOTAL-SCHO200101010.htm
    [27]
    许彦平, 姚晓红, 蒲永义, 等.天水日光温室光温生产潜力估算及区划研究.甘肃科学学报, 2004, 16(1):52-56. http://www.cnki.com.cn/Article/CJFDTOTAL-GSKX200401014.htm
    [28]
    魏瑞江, 赵春雷.基于GIS的河北果菜日光温室最佳发展区域确定.中国农业资源与区划, 2005, 26(1):35-38. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGNZ200501008.htm
    [29]
    金志凤, 邓睿, 黄敬峰.基于GIS的浙江杨梅种植区划.农业工程学报, 2008, 24(8):214-218. http://www.cnki.com.cn/Article/CJFDTOTAL-NYGU200808048.htm
    [30]
    赵艳霞, 何磊, 刘寿东, 等.农业生态系统脆弱性评价方法.生态学杂志, 2007, 26(5):754-758. http://www.cnki.com.cn/Article/CJFDTOTAL-JXSZ201603011.htm
    [31]
    Satty T L. 层次分析法在资源分配、管理和冲突分析中的应用. 许树柏, 译. 北京: 煤炭工业出版社, 1988.
    [32]
    李元左, 邱涤珊.基于广义判断形式的模糊排序方法.模糊系统与数学, 1997, 11(4):65-71. http://www.cnki.com.cn/Article/CJFDTOTAL-MUTE704.012.htm
    [33]
    汪应洛.系统工程理论、方法与应用 (第二版).北京:高等教育出版社, 1998:144-176. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
    [34]
    周秉荣, 李凤霞, 申双和, 等.青海高原雪灾预警模型与GIS空间分析技术应用.应用气象学报, 2007, 18(3):373-379. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070360&flag=1
    [35]
    史自航.发展设旋农业应重视防御灾害性天气——2009年河北省栾城县温室雪灾调查.新农业, 2010(8):35-36. http://www.cnki.com.cn/Article/CJFDTOTAL-XNYZ201008025.htm
    [36]
    魏家鹏, 于贤昌.近期雪灾对寿光蔬菜日光温室的影响.中国蔬菜, 2010(9):7-8. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGSC201009005.htm
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    • Received : 2012-11-12
    • Accepted : 2013-03-21
    • Published : 2013-06-30

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