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郑 健, 马 静, 王 燕, 向 鹏, 齐兴赟, 李永春.基于气候分区的甘肃省参考作物蒸发蒸腾量时空分布特征水资源与水工程学报[J].,2020,31(1):240-247
基于气候分区的甘肃省参考作物蒸发蒸腾量时空分布特征
Temporal-spatial distribution chracterastics of reference crop evapotranspiration in Gansu based on climatic zones
  
DOI:10.11705/j.issn.1672-643X.2020.01.36
中文关键词:  参考作物蒸发蒸腾量  时空分布  反距离权重空间插值法  气象因子  甘肃省
英文关键词:reference crop evapotranspiration  temporal-spatial distribution  inverse distance weight spatial interpolation method  meteorological factor  Gansu Province
基金项目:国家自然科学基金项目(51969012、51509122); 甘肃省高等学校科技成果转化项目(2018D-04); 甘肃省自然科学基金项目(18JR3RA154); 杨凌示范区产学研用协同创新重大项目计划(2018CXY-14); 甘肃省高等学校产业支撑引导项目(2019C-13)
作者单位
郑 健1,2,3, 马 静1,3,4, 王 燕1,4, 向 鹏1,2, 齐兴赟1,2, 李永春1,2 (1.兰州理工大学 能源与动力工程学院 甘肃 兰州730050 2.兰州理工大学 西部能源与环境研究中心 甘肃 兰州7300503.甘肃省生物质能与太阳能互补供能系统重点实验室甘肃 兰州730050 4.西北低碳城镇支撑技术协同创新中心 甘肃 兰州 730050) 
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中文摘要:
      参考作物蒸发蒸腾量(ET0)是计算作物需水量的重要参数,为了减少甘肃地区因地形和气候跨度大而引起的灌溉参数计算误差,根据甘肃省的地理特征和干湿程度将甘肃地区划分为陇南-甘南湿润区、陇中南部半湿润区、陇中北部半干旱区和河西干旱区4个区域,利用26个国家气象站点1980-2015年的逐日气象资料,采用FAO-56 Penman - Monteith 方程计算ET0,并通过反距离权重空间插值法和偏相关分析法研究了甘肃省整体和不同分区ET0的时空分布特征和影响因素。结果表明:甘肃省ET0年际变化趋势为1980-1991年下降,1991-2015年上升,整体呈上升趋势;甘肃省ET0的空间分布总体为自东南向西北逐渐增加;ET0与日平均风速、日照时数、日最高气温、日最低气温、日平均气温均表现为极显著正相关,与平均相对湿度表现为极显著负相关,且影响程度顺序为,甘肃省:U>N>Tmax>RH>Tmin>Tmean,陇南-甘南湿润区:N>U>Tmax>RH>Tmin>Tmean,陇中南部半湿润区:N>U>RH>Tmax>Tmin>Tmean,陇中北部半干旱区和河西干旱区:U>N>Tmax>RH>Tmin>Tmean。结论:地形和气候对ET0影响很大,由湿润区向干旱区依次增加;各分区ET0差异较大,从东南部向西北部增加;甘肃省ET0主要影响因素为平均风速和日照时数。
英文摘要:
      Reference crop evapotranspiration (ET0) is an important parameter in calculating water requirement of crops. In order to reduce the error in irrigation parameters calculation due to the differences of climate and topography of Gansu province, the area was divided into four regions(the humid area of Longnan and Gannan , the semi-humid area of south Longzhong, the semi-arid area of north Longzhong and the arid area of Hexi) according to the geographical characteristics and humidity degree to analyze the distribution and impact factors of ET0. Daily meteorological data collected from 26 national meteorological stations from 1980 to 2015 was used to calculate ET0 with FAO-56 Penman-Monteith equation, meanwhile, temporal-spatial distribution characteristics and impact factors of ET0 in Gansu province and the four divided regions were analyzed with inverse distance weighted spatial interpolation method (IDW) and partial correlation analysis method. Results showed that the interannual variation trend of ET0 in Gansu province decreased from 1980 to 1991, increased from 1991 to 2015, with an overall increase trend. The spatial distribution of ET0 in Gansu province increased gradually from southeast to northwest. Moreover, ET0 has an extremely significant positive correlation with daily maximum temperature, minimum temperature, daily average temperature, average wind speed and sunshine hours while presents a highly significant negative correlation with average relative humidity. The order of influence degrees of these parameters present a sequence of U>N>Tmax>RH>Tmin>Tmean in the whole Gansu Province, N>U>Tmax>RH>Tmin>Tmean in the humid area of Longnan and Gannan, N>U>RH>Tmax>Tmean>Tmin in the semi-humid area of south Longzhong, and U>N>Tmax>RH>Tmin>Tmean both in the semi-arid area of north Longzhong and the arid area of Hexi. Following conclusions can be made, topography and climate have a great influence on ET0, which increases from humid area to arid area. The ET0 was significantly differentiated in each area and increased from the southeast to the northwest. The main influencing factors of ET0 in Gansu Province were the average wind speed and sunshine hours.
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