A geo - knowledge - based surface modelling of agricultural climate resources

Transcription

1 Journal of Fuzhou University Natural Science Edition Vol 39 No 5 Oct 2011 DOI CNKI /N ~ km 1 km P46 TP3 A A geo - knowledge - based surface modelling of agricultural climate resources LU Yi - min 1 YUE Tian - xiang 2 1 Key Laboratory of Data Mining & Information Sharing of Ministry of Education Spatial Information Research Center of Fujian Province Fuzhou University Fuzhou Fujian China 2 State Key Laboratory of Resource and Environment Information System Institute of Geographic Sciences and Nature Resources Research CAS Beijing China Abstract In this paper we investigate methods to acquire and incorporate geoscience knowledge such as the way to transform geo - scientific knowledge into constraint or initial value of the models then put forward a novel surface model of agricultural climate resources which combine trend surface method with spatial interpolation Based on the air temperature data covering the period from 1951 to 2002 observed in 735 stations which obtained from National Meteorological Information Center in China the formulae included longitude latitude elevation and surface roughness used to estimate the annual mean temperature has been obtained The results with 1km 1km resolution in national scale show high accuracy and match the high and low temperature center correctly They imply abundant information and portray more details in the spatial distribution of annual mean temperature The values estimated by model are close to the observed true air temperature measurements in the whole study area Keywords geoscience knowledge trend surface method spatial interpolation agricultural climate resources annual mean temperature E - mail luym@ lreis ac cn J01268 XRC KF0008SA

2 IDW Kriging Spline 1 DEM PRISM NDVI DEM digital elevation model Delphi DTM

3 5 721 DEM 10% Delphi DEM Fig 1 1 Technical route of geo - knowledge - based surface modelling

4 z i x i y i = z^ i x i y i + ε' x i y i + ε i i = 1 2 n 1 n z i x i y i z^ i x i y i ε' x i y i ε i μ σ NDVI detrending 3 Weierstrass IDW Kriging Spline ~ ~ 50 a 8 km NDVI http / /glcf umiacs umd edu /data /gimms / GIMMS NOAA / AVHRR - NDVI 1 km DEM GTOPO

5 NO- AA - AVHRR NDVI NDVI 1 km X km Y km E m IndAsp V tuj 20 DEM Lsr Lsroughness Lsr = 1 /cos π / Slope /180 2 Lsr Slope Fig 2 2 Locations of the meteorological stations in the study area 731 t 6 X km Y km E m IndAsp V tuj Lsr 3 3 R Adj - R MAE 0 78 RMSE t trend = X XE YE ELsr X Y E 2 3 t trend ε' x T trend 3 ε' x IDW IDW p

6 X Y E Lsr 3 4 Fig 3 The general trend of annual temperature Fig 4 The local change of annual temperature Fig 5 5 Simulation results of annual temperature in the study area

7 ~ km 1 km MAE 0 78 RMSE m van der Veer G Voerkelius S Lorentz G et al Spatial interpolation of the deuterium and oxygen - 18 composition of global precipitation using temperature as ancillary variable J Journal of Geochemical Exploration Lu Yi - min Yue Tian - xiang Chen Chuan - fa et al Solar radiation modeling based on stepwise regression analysis in China J Journal of Remote Sensing J Azadeh A Maghsoudi A Sohrabkhani S An integrated artificial neural networks approach for predicting global radiation J Energy Conversion and Management

8 Mubiru J Banda E Estimation of monthly average daily global solar irradiation using artificial neural networks J Solar Energy J / J Zhu A - xing Yang Lin Li Bao - lin et al Construction of membership functions for predictive soil mapping under fuzzy logic J Geoderma / Vladimirov I Mapping of the regenerative and age dynamics of Taiga Forests on the basis of remotely sensed data geographical knowledge and mathematical models J Journal of Remote Sensing Daly C Gibson W P Taylor G H et al A knowledge - based approach to the statistical mapping of climate J Climate Research Daly C Halbleib M Smith J I et al Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States J International Journal of Climatology J A M Howard A S Hatton B Reitsma F et al Developing a geoscience knowledge framework for a national geological survey organisation J Computers & Geosciences Chen Zi - tan Hierarchy of knowledge in GIS J Science in China Series E Technological Sciences Bennie J Huntley B Wiltshire A et al Slope aspect and climate spatially explicit and implicit models of topographic microclimate in chalk grassland J Ecological Modelling J J D J J Immerzeel W W Rutten M M Droogers P Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula J Remote Sensing of Environment J