کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6297045 1617478 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China
چکیده انگلیسی


- A conceptual model for the plain river ecosystem function in semiarid area and interfered by intensive human activities was developed.
- The gray system model was improved.
- Main functions of plain river ecosystem and the corresponding factors that determine the plain river ecosystem function were proposed.

A comprehensive conceptual model for assessment of river ecosystem function and a multilevel indicator system by including the hydrology and water resources, water environment, physical habitat, as well as biotic structure for the plain river ecosystem function of the Haihe River Basin were constructed in this research. The indicator weights were determined by analytic hierarchy process and the improved gray system model was used to assess the ecosystem function of the Fuyang River in the Haihe River Basin. The elements that determine the plain river ecosystem function are physical habitat, hydrology and water resources, biotic structure and water environment. The maximum membership degree of gray incidence of ecosystem function for the Fuyang River is 0.7228, indicating that ecosystem function of the Fuyang River is at a critical state; comprehensive restoration including water quantity recovery and water quality improvement should be introduced to improve the ecosystem function of the Fuyang River.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 268, 24 October 2013, Pages 37-47
نویسندگان
, , ,