Water consumption estimation and evapotranspiration inversion based on remote sensing technology

被引:0
作者
Di, Suchuang [1 ]
Wu, Wenyong [1 ]
Liu, Honglu [1 ]
Pan, Xingyao [1 ]
机构
[1] Beijing Hydraulic Research Institute
来源
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2012年 / 28卷 / 10期
关键词
Evapotranspiration; Green land; Irrigation; Remote sensing; Surface energy balance model; Water consumption;
D O I
10.3969/j.issn.1002-6819.2012.10.016
中图分类号
学科分类号
摘要
The water consumption quantity and spatial characteristics of green land within the 5th Ring Road of Beijing city was studied based on high resolution remote sensing imagine, long time series meteorology data, and water consumption research results for different green land vegetation types. These procedures included pre-processing remote sensing imagines, distinguishing green land with stratified classification method, estimating irrigation water quantity for green land in different dry scenes accounting for different meteorological conditions and vegetation types, and inversing daily evapotranspiration. The green land area within the 5th Ring Road was 197.3 km 2, accounting for 29.7% of total urban area. The annual green land water consumption was 161 Mm 3, and the net irrigation water values in different dry scenarios were 109, 75, 59, 35 Mm 3 for the hydrological years of 95%, 75%, 50% and 25% respectively. Regional daily ET was inversed through Landsat Data and SEBAL model, and daily ET values of different land covers in summer were 11.1 mm for urban lakes, 5.7 mm for dense vegetation area, 4.0 mm for sparse vegetation area. Total daily water consumption was 1.266 Mm 3, and the daily ET values were 0.103, 0.142, 0.204 and 0.817 Mm 3 for these regions within 2nd Ring Road, between 2nd and 3rd Ring Road, between 3rd and 4th Ring Road, between 4th and 5th Ring Road, respectively. These results provide total water consumption and spatial distribution information for designing irrigation system of urban green land.
引用
收藏
页码:98 / 104
页数:6
相关论文
共 20 条
[1]  
Beijing statistical yearbook 2009
[2]  
Li Z., Lu G., Zhao B., Et al., Water consumption of green space and gardens in the Summer Palace of Beijing, Journal of Beijing Forestry University, 31, 1, pp. 66-72, (2009)
[3]  
Liu C., Gao Z., Gao W., Retrieval evaptranspiration and land surface temperature in response to land use/cover change basedon remote sensing data, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 23, 8, pp. 1-8, (2007)
[4]  
Li F., Xu Z., Li J., Characteristics of the spatial and temporal distribution for regional evapotranspiration in the Yellow River Delta based on MODIS data, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 25, 2, pp. 113-120, (2009)
[5]  
Cai X., Xu Z., Su B., Et al., Distributed simulation for regional evapotranspiration and verification by using remote sensing, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 25, 10, pp. 154-160, (2009)
[6]  
Wu X., Hu T., Wang X., Et al., Review of estimating and measuring regional evapotranspiration, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 25, 10, pp. 257-262, (2006)
[7]  
Yang B., Ren L., Wang G., Et al., Estimaton of evapotranspiration in catchment based on distributed watershed hydrological model, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 25, SUPPL.2, pp. 18-22, (2009)
[8]  
Liang L., Li L., Zhang L., Et al., Sensitivity of the reference crop evapotranspiration in growing season in the West Songnen Plain, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 24, 5, pp. 1-5, (2008)
[9]  
Lu M., Pu Y., Huang X., Application of remote sensing on urban green, Journal of Chinese Landscape architecture, 16, 71, pp. 41-44, (2000)
[10]  
Li S., Feng Z., Gong W., Et al., Evaluation of urban green land using QuickBird data, Journal of Beijing Forestry University, 30, 1, pp. 68-72, (2008)