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Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Geology & Exploration is the property of Xian Research Institute of China Coal Research Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hydrogeology & Engineering Geology / Shuiwendizhi Gongchengdizhi is the property of Hydrogeology & Engineering Geology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the entropy weight method and fuzzy variable set theory,23 water samples were extracted from the four water sources at Shoushan mine and the thirteenth mine in Pingdingshan coalfield, a mathematical model of identification of mine water inrush was built, and the sources of 8 water samples were identified using the model. The results show that the probability of the 6 chemical indexes, namely Ka++Na+ ,Ca2+ ,Mg2+ ,Cl- ,SO42- and HCO3-, appearing near the Interval specific value is relatively high；the weights of Ka++Na+ and Ca2+ were 0. 270 8 and 0. 371 3 with entropy weight method,much higher than other index weight,and the sum of weights accounted for 64. 21% indicating the major role in the mine water inrush identification ； the identification results of 7 groups of water samples were consistent with the actual type except the water sample 8,accuracy rate reaching 87. 5% ；for Pingdingshan coalfield, selecting the optimization criterion of parameter α = 2 in the identification model, the accuracy of entropy weight-variable fuzzy set model to identify the source of water inrush is higher ； the model should be established on the basis of abundant spatial and temporal water quality data, and improved using the new information to ensure the identified model conforming to the reality and keeping pace with the times. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)