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[1]LÜ,Ping,LIU Dong,et al.Grey Self-memory Model for Groundwater Depth Prediction in Sanjiang Plain[J].Research of Soil and Water Conservation,2011,18(05):239-242.

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Grey Self-memory Model for Groundwater Depth Prediction in Sanjiang Plain

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 05 Page number: 239-242 Column: Public date: 2011-10-20

Title:: Grey Self-memory Model for Groundwater Depth Prediction in Sanjiang Plain

Author(s):: LÜ Ping¹, LIU Dong^1,2, ZHAO Fei-fei¹; 1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China;
2. Postdoctoral Scientific Research Mobile Station of Agriculture and Forestry Economic Management, Northeast Agricultural University, Harbin 150030, China

Keywords:: Sanjiang Plain; prediction of groundwater depth; grey differential equation; self-memory

CLC:: P332.3

DOI:: -

Abstract:: Groundwater resources play an important role in supporting the regional grain production. In view of the problems of paddy field area increasing rapidly and groundwater level decreasing continuously, this study took Farm Qixing in Jiansanjiang branch bureau as an example. According to the groundwater depth monitoring data from 1997 to 2007, the paper established the grey self-memory model for groundwater depth prediction based on grey differential equation and self-memory theory. The results show that the model is feasible, has high accuracy, and the future local groundwater depth has a tendency of continuously decreasing. The study results indicate the temporal variation regulation of local groundwater depth. It provides basis for sustainable development and utilization of groundwater resources in Farm Qixing and even in the entire Sanjiang Plain.

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