Multi-scale risk assessment of stream pollution by wastewater of olive oil mills in Kolymvari, Crete

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• 作者：Christos G. Karydas (1)
  Ioannis L. Sarakiotis (2)
  George C. Zalidis (3)
  
• 关键词：Olive oil mills ; OMW ; Kolymvari ; Crete ; Multi ; scale risk assessment
• 刊名：Earth Science Informatics
• 出版年：2014
• 出版时间：March 2014
• 年：2014
• 卷：7
• 期：1
• 页码：47-58
• 全文大小：1,708 KB
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• 作者单位：Christos G. Karydas (1)
  Ioannis L. Sarakiotis (2)
  George C. Zalidis (3)
  
  1. Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Lab of Forest Management and Remote Sensing, Mouschounti & Dimokritou str., 55134, Kalamaria, Greece
  2. Department of Geoinformatics in Environmental Management, Mediterranean Agronomic Institute of Chania, Makedonias str. 1, 73100, Chania, Greece
  3. School of Agriculture, Lab of Remote Sensing and GIS, Aristotle University of Thessaloniki, Farm of the University, Petrina Ktiria, Thessaloniki, Greece
  
• ISSN：1865-0481

文摘

In the streams of the Mediterranean island of Crete (Greece), olive mill wastewater (OMW) has been reported to reduce biodiversity up to 85?%. Mere conduction of impact assessment based on pollutant concentrations, however, cannot reveal how impacted areas may be connected to the pollution sources. In this study, we developed a new methodology which allows for a dynamic cause-effect linking of pollution sources and impacted areas through the pathways of OMW. Risk is hierarchically assessed and mapped at three different scales and more specifically, at the source scale (targeting olive mill units and their waste tanks), at the receptor scale (targeting potential impacted sites in the streams) and at the watershed scale (which is the scale of overall water management). The approach is based mainly on remote sensing data without taking account of groundwater regimes or field measurements. Involvement of local experts for recognizing spatial features of interest and selecting appropriate risk parameters was proved necessary and efficient in order to model the stream pollution risk realistically. Potential impacted sites in the stream network were occasionally verified by a field survey. The results comprise a set of risk maps at the three different scales. The constructed digital geo-database can be updated or modified and thus is considered to be a dynamic tool for future environmental management in the service of the local community.