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[1]LIU Dong,FU Qiang.Multi-Time Scales Analysis of Main Flood Season Precipitation Series Based on Wavelet Transform in Area of Well-Irrigation in Sanjiang Plain[J].Research of Soil and Water Conservation,2008,15(06):42-45.

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Multi-Time Scales Analysis of Main Flood Season Precipitation Series Based on Wavelet Transform in Area of Well-Irrigation in Sanjiang Plain

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 15 Number of periods: 2008 06 Page number: 42-45 Column: Public date: 2008-12-20

Title:: Multi-Time Scales Analysis of Main Flood Season Precipitation Series Based on Wavelet Transform in Area of Well-Irrigation in Sanjiang Plain

Author(s):: LIU Dong^1,2, FU Qiang¹; 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; well irrigation paddy; main flood season precipitation series; wavelet transform; multi-time scales analysis

CLC:: P426.614

DOI:: -

Abstract:: The rapid increase of paddy field acreage has led to widely descending of groundwater level in area of well irrigation paddy in Sanjiang Plain in recent years.More and more ’hanging pump’ and partial overpumping have been occurring in area of well irrigation paddy.Therefore,the groundwater resource balance in Sanjiang Plain need to be recharged urgently.In order to solve above mentioned problems,the authors took Farm 853 as example,analyzed the multi-time scales variation characteristics and jump characteristics of actual observation main flood season precipitation time series in Farm 853 through using the wavelet theory,and the analysis results of main flood season precipitation series were compared with the variation characters of annual precipitation series.The results showed main flood season precipitation series of Farm 853 had four main periods which were 3,6,29 and 13 years around,and the main periods of main flood season precipitation series and annual precipitation series had better consistency.The study can provide scientific gist for fully utilizing natural precipitation,groundwater resource recharge and sustainable utilization in Farm 853 so much as the entire Sanjiang Plain.

References:: [1] 张景山,王秀华.三江平原地下水开发利用的有效途径[J].水利水电科技进展,1999,19(5):66-67.
[2] 李士峰,崔广臣,杨国顺.三江平原洪涝灾害及治理措施[J].水利水电科技进展,2000,20(1):65-67.
[3] 王韶华,田园.三江平原地下水埋深变化及成因的初步分析[J].灌溉排水学报,2003,22(2):61-64.
[4] 陈怀亮,胡鹏,张雪芬,等.农业气候资源多时间尺度分析:以郑州市小麦玉米为例[J].自然资源学报,2005,20(6):814-821.
[5] 许月卿,李双成,蔡运龙.基于小波分析的河北平原降水变化规律研究[J].中国科学(D辑):地球科学,2004,34(12):1176-1183.
[6] 欧素英,陈子燊.小波变换在相对海平面变化研究中的应用[J].地理科学,2004,24(3):358-364.
[7] 刘忠阳,王勇,丁园圆,等.郑州近54年降水变化的多时间尺度分析[J].气象科技,2005,33(suppl.):123-126.
[8] Ippolitov I I,Kabanov M V,Loginov S V.Wavelet analysis of hidden periodicities in some indexes of solar activity[J].Russian Physics Journal,2002,45(11):1086-1092.
[9] 王文圣,丁晶,李跃清.水文小波分析[M].北京:化学工业出版社,2005:115-141.
[10] 吴东杰,王金生,滕彦国.小波分解与变换法预测地下水位动态[J].水利学报,2004(5):39-45.
[11] Subasi A,Kiymik M K,Akin M,et al.Automatic recognition of vigilance state by using a wavelet-based artificial neural network[J].Neural Comput & Applic,2005,14(1):45-55.
[12] Mi X C,Ren H B,Ouyang Z S,et al.The use of the Mexican Hat and the Morlet wavelets for detection of ecological patterns[J].Plant Ecology,2005,179(1):1-19.
[13] 刘建梅,王安志,裴铁璠,等.杂谷脑河径流趋势及周期变化特征的小波分析[J].北京林业大学学报,2005,27(4):49-55.
[14] 张少文,丁晶,廖杰,等.基于小波的黄河上游天然年径流变化特性分析[J].四川大学学报:工程科学版,2004,36(3):32-37.
[15] 崔凤林,谢春来,付雷,等.小波变换时频能量谱技术在地震层序划分中的应用[J].长春科技大学学报,2000,30(4):397-399.
[16] Torrence C,Compo G P.A Practical Guide to Wavelet Analysis[J].Bulletin of the American Meteorological Society,1998,79(1):61-78.
[17] 郝立生,毕宝贵,姚学祥.太阳活动变化分析[J].空间科学学报,2007,27(4):265-270.

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