سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 38
نسخه کامل این مقاله ارائه نشده است و در دسترس نمی باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JHEHP-7-4_005
تاریخ نمایه سازی: 28 شهریور 1402
چکیده مقاله:
Background: This study was conducted to investigate the relationship between land use changes and physicochemical characteristics of groundwater in the Dalaki watershed in Bushehr province, from ۲۰۰۶ to ۲۰۱۶.
Methods: In this study, changes in the amounts of chlorine, calcium, sodium, sulfate, and total dissolved solids were investigated. In the first step, the spatial relationships of the aforementioned parameters were evaluated and the optimal models were selected for mapping. Then, using Landsat satellite images, the land use classification was done. Finally, the relationships between land use changes and the physicochemical characteristics of groundwater were surveyed.
Results: According to the analysis of the results, the highest concentration of groundwater in the studied years was observed in rainfed agriculture, palm groves and orchards land uses.
Conclusion: A significant relationship can be established between agricultural uses and the increase in the concentration of groundwater physicochemical characteristics. In other words, agricultural use caused groundwater resources salinity and reduced their quality. Because of the vastness of land use, a large amount of groundwater is taken to irrigate crops. Moreover, rainfed agriculture increased and decreased the number of quality characteristics, however using planting palm trees only increased them.
کلیدواژه ها:
نویسندگان
Fatemeh Zahra Takin
Department of Environmental Sciences, Faculty of Sciences, University of Zanjan, Iran.
Younes Khosravi
Department of Environmental Sciences, Faculty of Sciences, University of Zanjan, Iran.
Abbasali Zamani
Department of Environmental Sciences, Faculty of Sciences, University of Zanjan, Iran.
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 :