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
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    • Received : 2012-11-12
    • Accepted : 2013-03-21
    • Published : 2013-06-30

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