Responses of selected plants to petroleum contamination during phytoremediation
محل انتشار: اولین همایش تخصصی مهندسی محیط زیست
سال انتشار: 1385
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,697
فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CEE01_478
تاریخ نمایه سازی: 8 تیر 1385
چکیده مقاله:
Difference in the ability of various plant species to germinate and grow in contaminated soils should be better explored in order to choose the most appropriate plant species in the development of any phytoremediation process. In this study, germination and subsequent growth of seven plants including tall fescue (Festuca arundiacea), Agropyron smithi, Puccenillia distance, white clover (Trifolium repens), canola (Brassica napus), safflower (Carthamus tinctorius) and sunflower (Heliantus annus) were tested in soils with three petroleum contamination levels. Presence of Total Petroleum Hydrocarbons (TPHs) in the soil had no effect on seed germination of agropyron, white clover, sunflower and safflower, although canola and white clover seedlings were sensitive to these compounds and failed to produce dry yield matter at the end of trial period. In contrast, seed germination of canola, puccenillia and tall fescue were decreased in the contaminated soils. No reduction was found in dry weight of puccenillia in contaminated soils (C1 and C2) compared to control, however, the presence of TPHs proportional to the contamination level, decreased dry weight of sunflower and safflower. The results showed that plant genotypes studied here significantly varied in seed germination in petroleum contaminated soils although germination did not predict the plant genotypes differences in subsequent growth. It indicates that germination testing alone does not provide a short cut to assessing the suitability of plant species for subsequent testing in field trials.
کلیدواژه ها:
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :