摘要
以黑龙江省农垦总局红兴隆管理局为例,运用多尺度熵（MSE）测度该地区12个测站12年（2000~2011年）逐月地下水埋深序列复杂性特征,分析当地气候因素和人类活动对地下水埋深影响。结果表明,江川、597、852、宝山农场逐月地下水埋深序列复杂性等级为Ⅰ级,说明这四个农场地下水埋深可预测性最低。友谊、红旗岭、饶河、291、北兴、曙光、双鸭山七个农场地下水埋深序列复杂性等级为Ⅱ级,说明这七个农场地下水埋深预测难度中等。853农场地下水埋深序列复杂性等级为Ⅲ级,表明其地下水埋深可预测性最高。通过分析降水和水田种植面积比例与地下水埋深间关系,可知二者对地下水资源系统复杂动态变化有重要影响。研究成果揭示区域地下水埋深序列复杂性空间分布特征,识别可能影响因素,为相关领域复杂性测度研究提供参考。
Taking Hongxinglong Administration in Heilongjiang province as an example, this paper computed the complexity measures of 12 years （2000-2011） monthly groundwater depth series in 12 stations, and analyzed the effects that local climatic factors and human activities have on groundwater depth based on the multiscale entropy （MSE）. Results showed that the summations of sample entropy of each dimension of regional groundwater depth series in Farm Jiangchuan, Farm 597, Farm 852, Farm Baoshan were at thel level, illustrating that the groundwater depth was difficult to predict. In Farm Youyi, Farm Hongqiling, Farm Raohe, Farm 291, Farm Beixing, Farm Shuguang and Farm Shuangyashan, the summations of sample entropy of each dimension were at the II level, indicating that the difficulty of groundwater depth series prediction was medium. The summation of sample entropy of each dimension of regional groundwater depth series in Farm 853 was at the level III, showing that the prediction in this area was easy. By analyzing the correlations between precipitation, the proportion of paddy area and groundwater depth series, could reach a conclusion that both of them have an important influence on groundwater depth. Research result revealed the temporal and spatial distribution characteristics of the complexity of regional groundwater depth, identified the potential influencing factors, and could provide a reference mode for complexity measuring in relevant research fields.
出处
《东北农业大学学报》
CAS
CSCD
北大核心
2016年第7期101-108,共8页
Journal of Northeast Agricultural University
基金
国家自然科学基金(51579044
51479032
51179032
41071053)
黑龙江省普通高等学校长江学者后备支持计划项目
黑龙江省水利科技项目(201318
201319
201501
201503)
黑龙江省科研机构创新能力提升专项计划项目(YC2015D006)
关键词
地下水埋深序列
复杂性
多尺度熵
影响因素
groundwater depth series
complexity
multi-scale entropy
influencing factors
