کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4374743 1617198 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ecohydrologic modelling of water resources and land use for watershed conservation
ترجمه فارسی عنوان
مدل سازی هیدرولوژیکی سازگار با محیط زیست از منابع آب و استفاده از زمین برای حفاظت از حوضه
کلمات کلیدی
صلاحیت استفاده از زمین. خطر هیدرولوژیک؛ برنامه ریزی استفاده از زمین؛ اولویت بندی هیدرولوژیکی سازگار با محیط زیست ؛ تجزیه و تحلیل فضایی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• Land use land cover can affect hydrologic processes directly or indirectly.
• Watershed-based approach is needed for long term landscape planning.
• An integrated approach links hydrologic risk and suitability analysis.
• Ecohydrologic prioritization using spatial analysis
• Ecohydrologic evaluation of landscape decisions

Land use land cover is an important determinant of ecohydrologic processes in watershed systems. Continued urbanization changes the very nature of ecohydrological regimes of watersheds and increases their vulnerability to flooding, soil loss, and water pollution. To integrate hydrologic risk and suitability analysis into land use decisions, we used an ecohydrologic risk criteria for land use impacts on water quality and quantity in the Riva Creek watershed located to the east of Istanbul, Turkey. Hydrological risks are modeled for each sub-watershed using a spatial analysis. A spatial quantitative assessment is used to rank sub-factors for evaluating suitability for agricultural, residential and forest operations. An expert focus group is used to quantify weights. The results revealed that about 58% of the watershed is prone to hydrologic risk in medium to severe levels. We concluded that ecohydrological evaluations should form the background of landscape assessments in watersheds. An integrated approach and spatial results can provide the basis for long-term planning.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 36, November 2016, Pages 31–41
نویسندگان
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