Spatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the Can coal field (Turkey)

被引：1

作者：

Kayabasi, Ali ^{[1
]}

Turer, Dilek ^{[2
]}

Yesiloglu-Gultekin, Nurgul ^{[3
]}

Gokceoglu, Candan ^{[2
]}

机构：

[1] Eskisehir Osmangazi Univ, Dept Geol Engn, Eskisehir, Turkey

[2] Hacettepe Univ, Dept Geol Engn, Ankara, Turkey

[3] Aksaray Univ, Dept Geol Engn, Aksaray, Turkey

来源：

GEOCARTO INTERNATIONAL | 2016年 / 31卷 / 02期

关键词：

coal quality; production map; air pollution; ANFIS; UNIAXIAL COMPRESSIVE STRENGTH; INFERENCE SYSTEM; GRANITIC-ROCKS; POWER-PLANTS; ANFIS; PREDICTION; POLLUTION;

D O I：

10.1080/10106049.2015.1041564

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Determination of spatial distribution of coal quality parameters can ease management of the operations in coal mines. In this study, in order to provide guidance for the excavations, Can coal mine production map showing regions having suitable coal parameters as feed coals for a power plant and also for public sale was prepared using adaptive neuro-fuzzy inference system tool. Statistical relationships among calorific value, ash content and sulphur content were evaluated using the data obtained from boreholes opened in the mine between 2006 and 2009. According to the obtained production map, coals of Can mine are not suitable for public sale because of their high sulphur content and hence they should be blended with low sulphur coals to meet the requirements, before sale.

引用

页码：193 / 209

页数：17

共 20 条

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