Reservoir resettlement project is an important part of the whole water conservancy project. The smooth implementation of resettlement will directly affect the implementation of other projects in dam areas and reservoir areas. In this paper, an example of an immigration project in China is used to establish GM (1, 1) model with grey system theory. The deviation forecast and analysis of the six migration population data in the three years of the project are made, and the rationalization suggestions are put forward. The purpose is to make the resettlement department timely and quantitatively understand the deviation of resettlement progress, and provide an effective basis for the progress control of the whole project so as to promote the resettlement work as planned. The analysis results show that the model is highly accurate in predicting the deviation of resettlement progress of reservoir resettlement and can be used for medium and long-term predictions. At present, the relocation and resettlement work of the project is lagging behind the planned completion time, and effective measures should be taken to speed up the progress of the project.
Key words
reservoir resettlement /
grey system theory /
GM (1,1) model /
deviation prediction;progress control
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References
[1]程鹏立,李红远.水利水电工程移民安置社会评价研究[J].中国农村水利水电,2009(4):119-123.
[2]李万绪.水电站径流过程的灰色模型[J].水力发电学报,1989(2):65-71.
[3]夏军,叶守泽.灰色系统方法在洪水径流预测中的应用研究与展望[J].水电能源科学,1995(3):197-205.
[4]宋玲,鄢璞.基于优势关系粗糙集的堆石坝施工成本偏差分析[J].水电能源科学,2017,35(3):154-157.
[5]甘月云,陈星,付军,等.基于灰色预测GM(1,1)模型的城镇生活需水量预测[J].水电能源科学,2012,30(9):40-42.
[6]周刚,王弘宇,胡春雪,等.应用灰色新陈代谢GM(1,1)模型预测中长期城市需水量[J].中国农村水利水电,2005(8):16-18.