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سال انتشار:
2017
عنوان انگلیسی مقاله:
The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: A case study in Longkou, China
ترجمه فارسی عنوان مقاله:
ارزیابی زیست محیطی مصنوعی محیط زیست یک شهر زغال سنگ ساحلی با استفاده از داده های بزرگ و طولانی مدت: مطالعه موردی در Longkou، چین
منبع:
Sciencedirect - Elsevier - Journal of Cleaner Production, 142 (2017) 854-866. doi:10.1016/j.jclepro.2016.07.011
نویسنده:
Fuhong He a, Lijuan Gu b, Tao Wang a, *, Zhenhua Zhang a, *
چکیده انگلیسی:
The geological and ecological (geo-ecological) environment of the coastal coal-mining city is a basic
element for human subsistence, and it connects the regional economy with social sustainable devel
opment. Using Longkou, a coastal mining city, as an example, a geological and ecological environmental
quality assessment was conducted based on spatiotemporal big data. Remote sensing images, a digital
elevation model (DEM), and precipitation and interpolation processing were used to generate factor
layers. A synthetic evaluation index system was set up, including physical geography, geological condi
tions, mining intensity, ecological environmental recovery and geological hazards associated with
mining. Moreover, an analytical hierarchy process was used to calculate the factor weight of each
evaluation factor, and a consistency check was performed to build an assessment model of the geo
ecological environment of Longkou. The results indicate that multi-factor spatiotemporal big data pro
vide a scientific assessment of the geo-ecological environmental quality with indispensable data and
methods. The spatial distribution of geo-ecological environmental quality presented clear specialization
of zonality, showing poor quality in the coastal coal mine ore concentration area and good quality in the
inland and mountainous areas of Nanshan Mountain. The geo-ecological environmental quality of
Longkou was divided into 5 levels as worst, poor, middle, good and better districts. The good and better
districts accounted for 76.763% of the total area of the assessment region, indicating that the geo
ecological environmental quality of the study area was in good condition. The mining intensity and
ecological environment recovery were major factors in determining the regional variation of the geo
ecological environment of Longkou. The possible causes inducing uncertainties and limitations in eval
uation of the geo-ecological environmental quality were discussed. The model combining AHP with GIS
proposed in this paper is an effective means of evaluating regional geo-ecological environmental quality.
Keywords:Remote sensing|Analytic hierarchy process|Geo-ecological environmental assessment|Coal mine concentration area
قیمت: رایگان
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