Europäisches Journal für Experimentalbiologie Offener Zugang

Abstrakt

The influence of wastewater Sirjan golgohar industrial on chemical properties of cultivated soils in several species of trees pasture

Ehsan Kashani and Alireza Moradi

The aim of this study were to investigate the influence of wastewater Sirjan golgohar industrial on chemical properties of cultivated soils in several species of trees pasture. This study was performed at the Sirjan city which is located in southwest of kerman province (1766 meters above the sea level, 29º 27 N latitude and 55º 40 E longitude, and 162 mm annual rainfall). This experiment was conducted a completely randomized design block testing in split factorial with 5 treatment and 3 replicated. In this study, we used different ratios of water and wastewater including control (normal water), 25% wastewater + 75% water, 50% water + 50% wastewater, 75% wastewater + 25% water and wastewater of sirjan golgohar industrial. These treatment were used for irrigation of several species of pasture trees (Pestasia atlantica, Amygdalus scoparia, Amygdalus elaegnifolia and Acer monspessulanum). Soil salinity, sodium adsorption ratio (SAR) and soil organic matter wer evaluated in this study. Data were analyzed by ANOVA using general linear model procedure of SPSS software. Significance between means was tested using Duncan Multiple Range Test. Results showed that the difference between mean treatments in the study was significant (P<0.05). Comparison of chemical properties in soil before and after treatment showed that the using of wastewater sirjan golgohar industrial were increased chemical properties in soils. With the increasing of waste, the amount of organic materials have also increased, the treatment with wastewater have the largest amount of organic matter. In generally, we can conclude that the using of wastewater treatments due to decrease salting and increase organic matter than to control treatments can improve the soil for the plants.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert