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Warm mix asphalt (WMA) is mixed at temperatures ranging 20-50 °C lower than those in which called hot mix asphalt (HMA). The use of synthetic zeolites as a warm mix asphalt additive has exhibited many additional advantages, such as a reduced susceptibility to permanent deformation. However, there are also indications that the use of synthetic zeolites as a warm mix asphalt additive for some percentages increases the moisture sensitivity of pavements except for 5% there is a slightly improve. The results of the study indicated that the selected percentages of synthetic zeolite to the warm asphalt differently effected on the mixture properties. When the mixture properties were compared, it was observed that WMA with 3% of synthetic zeolite reduced the indirect tensile strength value, also the WMA mixture with 5 % of synthetic zeolite decreased the rut depth of the mixtures and slightly increased in the tensile strength ratio (TSR).

Evaluation of the efficiency and estimating crop yield and forecasting are very important, because relation to food security of the country and to reach the stage of self-sufficiency. Research is trying to estimate the crops, and solves the problem of monitoring of farms inaccessible by field visits; monitor the implementation of the agricultural plan in addition, to monitoring the health status of crops. Utilizing application of remote sensing RS, geographical information system (GIS) added satellites imageries with multi temporal and spatial analysis of vegetation cover. The research includes the collection of (12 image) Landsat8 and (3 image) Sentinel-2. In addition the meteorological data from agricultural meteorological stations of the Iraqi Ministry of Agriculture. Moreover the field data. Covered the winter planting season from 01/10/2015 to 01/05/2016.The research includes using Cropwat program to calculation Calendar germination of crops, and using ERDAS IMAGINE 2014 to create process and calculation NDVI, Change Detection, and spectral profile analysis from imageries. Moreover using ArcGIS 10.3 for building Geodatabase, building spatial database, analysis data, and product maps. The results of the evaluation showed that most of the Ain al-Tamur pivotal farms are highly efficient and the results of change detection for the NDVI and NIR are very effective.