ASSESSMENT OF THE PERFORMANCE OF ORGANIC AND INORGANIC BIO-FILTERS FOR ENHANCING THE SELF- PURIFICATION IN A HEAVILY POLLUTED DRAIN

Country:

Egypt

Location:

Sendbees drain in the Eastern Delta.

Time period :

2016

Implementing Institution/ Organization:

Strategic Research Unit of the National Water Research Center (NWRC).

Funded by :

NWRC

Goals

Improving agriculture drainage water quality to be suitable for irrigation and to be safe for the environment and farmers health.

Objectives

Assessment of the performance of organic and inorganic bio-filters for enhancing the self- purification at one of the most polluted drains in Eastern Delta, Sendbees Drain and to determine the most efficient and low-price bio-filter material.

Methodology (approach)

1. Field investigation and surveying of different drains to evaluate their environmental conditions
2. Water sampling along the selected drain (Sendbees drain) to study its quality
3. Lab analysis of water samples considering different pollutants
4. Design, construction and analysis of the self-purification system



Conclusions

The organic bio-filter (wood) is effectively improving the fecal coliform, DO and TP and less deteriorate COD and BOD than the inorganic bio-filter (plastic).
Organic bio- filter such as wood is much effective in enhancing the self-purification of the drain than the inorganic bio-filter (plastic).
Organic bio-filter (Wood) is economically efficient.

Lessons learned

Reuse of agricultural drainage water is one of the most Important non-conventional water sources which could be used for agricultural production.

Enhancing the self-purification capacity of the agricultural drains could be carried out using biofilter material is very economic technique to improve the agriculture drainage water quality to be suitable for irrigation.

References (resources) Found is the case study

SRU, NWRC, Study report “Assessment of the Performance of Organic and Inorganic Bio-filters for Enhancing the Self- Purification in a Heavily Polluted Drain” May 2016.

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