introduction: fao aquacrop model (raes et al., 2009a; steduto et al., 2009) is a user-friendly and practitioner oriented type of model, because it maintains an optimal balance between accuracy, robustness, and simplicity; and it requires a relatively small number of model input parameters. the fao aquacrop model predicts crop productivity, water requirement, and water use efficiency under water...

the objective of this study was to simulate carbon monoxide (co) dispersion exited from the stacks of a cement industry in doroud, iran by gaussian model (gm). four sampling period was conducted for the measurement of co from the factory's three-stack flow during a period of one year. the input parameters were the rate of co emission, meteorological data,  factors related to the stack, and...

in this study a pseudo comprehensive carbon footprint model for fossil fuel power plants is presented. parameters which their effects are considered in this study include: plant type, fuel type, fuel transmission type, internal consumption of the plant, degradation, site ambient condition, transmission and distribution losses. investigating internal consumption, degradation and site ambient con...

Applications of computational techniques to developmental plant biology include the processing of experimental data and the construction of simulation models. Substantial progress has been made in these areas over the past few years. Complex image-processing techniques are used to integrate sequences of two-dimensional images into three-dimensional descriptions of development over time and to e...

combined cycle performance can be improved by improving the performance of gas turbine based topping cycle. amongst various options the effective cooling of gas turbine blade for realizing the higher turbine inlet temperatures is one of the attractive options. the present paper deals with the thermodynam-ic analysis of advanced technology gas/steam combined cycle based power plant having closed...

The role acquired by modeling in plant sciences includes integration of knowledge, exploration of the behavior of the plant system beyond the range of conditions covered experimentally and decision support. The purpose of the model determines its structure. Initially process artificial intelligence (PAI) were developed separately from structural (or: architectural or morphological) plant models...

The ability to assimilate C and allocate non-structural carbohydrates (NSCs) to the most appropriate organs is crucial to maximize plant ecological or agronomic performance. Such C source and sink activities are differentially affected by environmental constraints. Under drought, plant growth is generally more sink than source limited as organ expansion or appearance rate is earlier and stronge...

Flaring emissions during abnormal operating conditions such as plant start-ups, shut-downs, and upsets in chemical process industries (CPI) are usually significant. Flare minimization can help to save raw material and energy for CPI plants, and to improve local environmental sustainability. In this paper, a systematic methodology based on plant-wide dynamic simulation is presented for CPI plant...