Environmental Impact Assessment Paper

In this text is discussed about some basic information concerning the data and its gathering tools as a part of Environmental Impact Assessment. The review is organized as an attempt to answer some basic questions about data and its collection within Environmental Impact Assessment procedure. What is data? What kind of data exist within EIA? Why is data necessary for Environmental Impact Assessment? What are the main sources of data in Environmental Impact Assessment? Goal and purpose of this topic is to explain how the collection of data is made and which are the main sources of data in Environmental Impact Assessment. For complete understanding of the topic short introduction in Environmental Impact Assessment and its phases is presented.

To conduct such study the various data is necessary. Main motivation of this text is to explain what are the main sources of data and when exactly within Environmental Impact Assessment procedure this data is necessary.

As mentioned before, Environmental Impact Assessment can be defined as a Environment management tool, used for identification of environmental effects of proposed actions and projects (Noble, 2006). This process is applied prior to major decisions being made. It is very important tool used for modifying and changing the design of proposed projects and actions, if this kind of project adjustment is necessary (Marriott,1997). It can be considered as one of the most important tools of sustainable development (Unep,1992). Environmental Impact Assessment implementation differs from country to country but all this systems have some fundamental structure in common. It is very important to know this structure (Harrop,1997). Usually Environmental Impact assessment starts with screening. In the process of screening decision is made wether Environmental Impact Assessment is needed or not. Some of the projects and actions are rated as insignificant in the terms of

For data to achieve certain meaning it is necessary to be transferred into information. Data basically does not mean anything unless there is certain question that can be answered with the data. For making information out of the raw data it is important to process data. This kind of process is called data mining. Data mining is the process of discovering patterns and regularities in large data set (Shaheen,2015). Data transformed into information can lead to knowledge about certain phenomenon. All of this is still not the guarantee that the knowledge is true. After gaining certain knowledge in condition that this knowledge is true it is possible to advance in decision making (Brandenburg, learning script,