Dose and frequency dependent effects of olive mill wastewater treatment on the chemical and microbial properties of soil

被引:49
作者
Magdich, Salwa [1 ,2 ,3 ]
Ben Ahmed, Chedlia [1 ,3 ]
Jarboui, Raja [2 ]
Ben Rouina, Bechir [1 ]
Boukhris, Makki [3 ]
Ammar, Emna [2 ]
机构
[1] Inst Olivier Sfax, Lab Ameliorat Prod Oleicole & Arbres Fruitiers, Sfax 3000, Tunisia
[2] Univ Sfax, UR Etud & Gest Environm Urbains & Cotiers, Ecole Natl Ingn Sfax, Sfax 3038, Tunisia
[3] Fac Sci Sfax, Lab Ecol Vegetale, Sfax 3018, Tunisia
关键词
Olive mill wastewater (OMW); Soil layers; Spreading; Physico-chemical properties; Microbial flora; Principal component analysis (PCA); OIL EXTRACTION PLANTS; PHENOLIC CONTENT; POULTRY MANURE; RESIDUES; PONDS; STABILIZATION; BACTERIA; COMPOST; SLUDGE; FIELD;
D O I
10.1016/j.chemosphere.2013.06.066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Olive mill wastewater (OMW) is a problematic by-product of olive oil production. While its high organic load and polyphenol concentrations are associated with troublesome environmental effects, its rich mineral and organic matter contents represent valuable nutrients. This study aimed to investigate the valorization of this waste biomass as a potential soil conditioner and fertilizer in agriculture. OMW was assayed at three doses 50, 100, and 200 m(3) ha(-1) year(-1)) over three successive years in olive fields. The effects of the effluent on the physico-chemical and microbial properties of soil-layers were assessed. The findings revealed that the pH of the soil decreased but electrical conductivity and organic matter, total nitrogen, sodium, and potassium soil contents increased in proportion with OMW concentration and frequency of application. While no variations were observed in phosphorus content, slow increases were recorded in calcium and magnesium soil contents. Compared to their control soil counterparts, aerobic bacteria and fungi increased in proportion with OMW spreading rates. The models expressing the correlation between progress parameters and OMW doses were fitted into a second degree polynomial model. Principal component analysis showed a strong correlation between soil mineral elements and microorganisms. These parameters were not related to phosphorus and pH. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1896 / 1903
页数:8
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