טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
M.Sc Thesis
M.Sc StudentAsli Sare
SubjectReview of the Environmental Problem of Olive Mills Effluents
and of the Technologies Proposed for its Solution
DepartmentDepartment of Civil and Environmental Engineering
Supervisors Dr. Shlomo Kimchie
Professor Emeritus Carlos Dosoretz


Abstract

Olive oil industry is one of the oldest food industries in Israel. There are about 150,000,000 m2 of olive plantation in Israel that produce 27,000 ton olives in a good year.

Olive mills are operating for only around three months a year (end of October up to beginning of February). Depending on the quantity of the olive fruit harvest obtained, the volume of the wastewater produced from the olive oil industry also fluctuates. This creates a problem of non-stable organic loading on the treatment facilities. It is estimated that the total volume of the liquid wastewater from the olive extraction is 1.18 -1.68 m3 per ton of olive fruit.

Olive mill wastewater (OMW) contain toxic materials especially poly-phenol compounds and organic acids these materials are considered inhibitory for various microbial growth, and they can inhibit the biological treatment processes.

The COD values in OMW ranges between 60-140 g/l in the classic method, and between 60-100 g/l in the centrifugal method. Untreated OMW creates bad odors and creates a serious risk for underground water quality, when OMW is used for irrigation of olive plantations; they endanger large quantities of underground water and soil

This research reviews the various technologies for OMW disposal and suggests a decision making model that uses a standard mechanism to choose the most appropriate technology by considering all the relevant environmental and economical parameters.

In order to evaluate the proposed model we had conducted olive mills survey in two places in the Galilee .All the relevant data had been collected and evaluated. Testing the proposed model it was found suitable to be used by decision makers for selecting the most suitable technology for specific cases.