environmental conditions including metrological parameters (precipitation, temperature, humidity and etc.) various stresses and nutrition, could affect  germination and  seeds vigor during of development, ripping and leven after harvesting of soybean seed. for this, experiments of completely randomized design ( as nested)by four replications were performed in seed laboratory of gorgon universit...

In the present study, a modelling approach based on Geographical Information Systems (GIS) analysis is presented with the aim of identifying the influence of environmental parameters on three genera, namely, Tortula, Grimmia and Bryum as representatives of Iranian bryoflora. By using ArcGIS Desktop, we produced a model for environmental variables include altitude, precipitation, temperature and...

The paper presents principle of operation and design of the most popular chemical sensors for measurement of volatile organic compounds (VOCs) in outdoor and indoor air. It describes the sensors for evaluation of explosion risk including pellistors and IR-absorption sensors as well as the sensors for detection of toxic compounds such as electrochemical (amperometric), photoionization and semico...

Distributed/semi-distributed models are considered to be sensitive to the spatial resolution of the data input. In this paper, we take a small catchment in high urbanized Yangtze River Delta, Qinhuai catchment as study area, to analyze the impact of spatial resolution of precipitation and the potential evapotranspiration (PET) on the long-term runoff and flood runoff process. The data source in...

Climatic parameters’ modeling is very important in environmental data processing. This is a consequence that climatic parameters vary dramatically in time and space. Moreover, the climate variables are dependent to each other and also to earth surface conditions such as height. The other problem is that climatic parameters are measured as a point based variables in weather stations. However, fo...

A hybrid (physical–statistical) scheme is developed to resolve the finescale distribution of daily precipitation over complex terrain. The scheme generates precipitation by combining information from the upper-air conditions and from sparsely distributed station measurements; thus, it proceeds in two steps. First, an initial estimate of the precipitation is made using a simplified orographic pr...

Theory proposes that increased environmental stochasticity negatively impacts population viability. Thus, in addition to the directional changes predicted for weather parameters under global climate change (GCC), the increase in variance of these parameters may also have a negative effect on biodiversity. As a case study, we assessed the impact of interannual variance in precipitation on the vi...