Climate yield potential is known to be under great effect of climate factors. Based on multi-yearly climate records and agrometeorological observations and by means of the scheme for calculating yield potential (YP) proposed by Huang Bingwei the authors investigate the distribution of mean climate YP for several representative stations in Henan and averaged availability of climate resources for staple crops in this province, and with Zhengzhou station as the typical station, calculated is made of annual YP of photosynthesis, light-temperature, and light - temperature- water and also YP of wheat and corn related to the above three factors. Wavelet analysis shows that on an annual basis, the photosynthesis YP has quasi-8 yearly periods, light-temperature YP gives quasi-8 and quasi-4 yearly periods, and light- temperature-water YP exhibits quasi-6 and quasi-10-yearly periods. Study is also undertaken of availability of climate resources by wheat and corn in the year and their growth season. Finally, analysis is done of effects of meteorological factors upon yields of the staple crops as well as their availability of the climate resources.
Based on 1982-1999 satellite sensings, meteorological data and observations of crop growth/development, a study is conducted on seasonal and interannual variations in vegetation NDVI (normalized difference vegetation index), its response to climate change and its relationship with crop growth/development during the period in Zhengzhou region of Henan province. Evidence suggests that the interannual change is not so pronounced in the regional NDVI, exhibiting, on the whole, an unsteadily increasing trend; stronger seasonality is shown in the annual variation, with a more significant rising trend in spring as opposed to those for summer and autumn; NDVI change is in positive correlation both to temperature and precipitation (stronger response to temperature), with its change subject dominantly to temperature and rainfall in spring and summer, respectively, under varying effect of temperature and precipitation in autumn, and largely under the impacts of heat in winter and during the growth of winter wheat and summer-sown corn the NDVI is positively correlated to the crop height and density (the number of crop individuals per unit area) in their milking stage, the latter acting as a principal factor of NDVI change.
In order to get more accurate air pollution distribution effected by complex terrain such as hilly or mountain areas two models, one is PBL model other is random walk transportation model (Monte Carlo), are developed to simulate air pollutant's concentration distribution. The PBL model is a fine-mesh, higher resolution, three-dimension non-hydrostatic model; higher order turbulence closure scheme is adapted. A wind tunnel experiment for verifying the model's ability is showed that the results of the model accord with the wind tunnel experiment. The outputs of PBL model are inputs of random walk model as the initial meteorological conditions. The case study of modeling a power station air pollution in hilly area in Henan, China expressed in this paper also shows that complex terrain can significantly increase pollution concentration at ground level.