本研究以肥城矿区为研究对象。
This paper takes Feicheng mine area as the subject of study.
评价了肥城煤田深部开采底板突水的可能性。
The water - inrush possibility during mining depth coal layer is assessed.
研究了山东肥城桃的品质、产量与种植区地质环境的关系。
Relationship between the quality and yield of Feicheng peach and the local geological environment in Shandong was studied.
最后，对合肥城市空间的道路、街巷以及广场进行了实地调研和系统分析。
In the end, the author of this article investigated and analyzed the situation and environment of the road, street and plaza in Hefei.
有效提高了肥城市的土地资源整合利用水平，大大促进了肥城市的新农村建设。
This work has effectively improved land resource integration and utilization level in Feicheng city, and greatly contributed to the city's new countryside construction.
理清合肥城市空间形态的特征和历史走向，将会有助于合肥城市形象和功能的提升。
Clarify the characteristics of Hefei urban spatial patterns and historical trend, then, it will help to improve Hefei city image and function.
最后以合肥城市环城包河地段为一实证，提出包河地段复兴空间结构模式和复兴方案。
Finally, Hefei City Ring Package River sites for the evidence, put forward packets River lots of space structure model rehabilitation and recovery programs.
肥城矿区水文地质条件极其复杂，奥灰水水位高，水量大，严重制约着煤矿开采的正常进行。
In Feicheng Mi ni ng Area, there are very complex hydrogeological conditions, and high water level and large quantity of water, of Karst water of Ordovician limestone.
通过对肥城煤田晚石炭-早二叠世小有孔虫动物群的研究，共鉴定出小有孔虫化石25属73种。
Based on the study of small foraminiferal fauna in the Late Carboniferous and Early Permian in Feicheng coalfield, 25 genera and 73 species of small foraminiferal fossils are identified.
将人工神经网络技术应用于肥城煤矿区煤层底板突水预报中，并且开发研制成突水预报人工神经网络系统。
Artificial neural network technology is applied to water inrush forecast of coal seam floor of Feicheng mine area.
经过在山东肥城白庄煤矿通风系统状况评价中的实践应用，证明该评价模型是可行的，取得了较好的效果。
By the practical application in Baizhuang coal mine ventilation system evaluation at Shandong Province, the evaluating model is proved to be feasible, and better results are obtained.
经过在山东肥城白庄煤矿通风系统状况评价中的实践应用，证明该评价模型是可行的，取得了较好的效果。
By the practical application in Baizhuang coal mine ventilation system evaluation at Shandong Province, the evaluating model is proved to be feasible, and better results...
建立了合肥城市生活垃圾年产量的预测GM（1，1）模型，并对合肥市未来五年的生活垃圾产量进行了预测。
Then the output in next five years was forecasted by setting up a GM(1,1)Prediction Model about yield of municipal solid waste.
建立了合肥城市生活垃圾年产量的预测GM（1，1）模型，并对合肥市未来五年的生活垃圾产量进行了预测。
Then the output in next five years was forecasted by setting up a GM(1,1)Prediction Model about yield of municipal solid waste.
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