• excavating and removing all contaminated soil and disposing of the soil in an environmentally sound manner; • covering the site with a blanket of uncontaminated soil and installing a runoff control and drainage system to limit the potential contamination of surface water or groundwater; • other in-situ treatment methods that involve complex physical and/or chemical neutralization or extractio...

abstract the objective of the present study is to assess the performance of 18 irrigation districts from ten countries in the world using the benchmarking method and data mining analysis (cluster analysis). irrigation networks of dez, sefidrood, tajan and voshmgir from iran have been compared with 14 irrigation districts from nine other countries. the k- means algorithm was used to analyze the ...

Analysis of hydrologic, geomorphic, and suburbanization data from a small instrumented drainage basin near Iowa City, Iowa, indicates that channel networks are radically altered when suburban development overtakes a drainage basin. Changes in channel networks are such that the network becomes much more efficient in collecting water quickly, so that lag time and kurtosis of storm hydrographs are...

Scaling laws that describe the structure of river networks are shown to follow from three simple assumptions. These assumptions are (1) river networks are structurally self-similar, (2) single channels are self-affine, and (3) overland flow into channels occurs over a characteristic distance (drainage density is uniform). We obtain a complete set of scaling relations connecting the exponents of...

Neural networks because of their abilities are used to patterns recognition. In statistical process control charts, a common cause variation distort expected form of unnatural patterns and so detection of assignable causes efficiently and precisely in a real-time is difficult. Therefore it would be logical to propose models based neural networks for recognition and analysis of patterns in proce...

one of the most important issues related to knowledge discovery is the field of comment mining. opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. this is a subset of data mining. opinion mining can be improved using the data mining algorithms. one of the important parts of opinion minin...