摘要
以三江平原7个国家级气象站1959—2013年的月降水量数据为基础,采用近似熵理论、ArcGIS空间分析理论,分析了近50a三江平原月降水量的空间复杂性。结果表明:三江平原月降水量表现出了较强的非线性特征,其中南部鸡西站月降水量的极差最大,达到了340.1mm,北部富锦站月降水量的极差最小,仅为231.6mm;月降水量空间复杂性东西方向整体呈现出了条状分布,且由西南向东北逐渐增加,这主要与三江平原西南部海拔低,湿地面积多,降水日数与降水强度小,且多为山区等因素有关。研究成果对于指导三江平原科学合理地利用降水资源具有一定的指导意义。
The approximate entropy theory and ArcGIS spatial analysis theory were used to analyze the spatial complexity of monthly precipitation data collected at seven national weather stations in the Sanjiang Plain from 1959 to 2013. The results showed that the monthly precipitation presented a strong nonlinear feature. The range of monthly precipitation in Jixi station was maximum, which reached to 340.1 mm, and it was minimum in Fujin station, which only reached to 231.6 mm. The spatial complexity of monthly precipitation presented a strip distribution at the east-west direction and increased gradually from the southwest to north- east. The low altitude, more wetland and mountain areas, small precipitation intensity and precipitation day were the main drivers of difference in the spatial complexity characteristics. The research results can provide guidance for scientific investigations and the reasonable use of rainfall resources in the Sanjiang Plain.
出处
《水土保持研究》
CSCD
北大核心
2015年第2期113-116,122,共5页
Research of Soil and Water Conservation
基金
国家自然科学基金(51179032
51479032)
水利部公益性行业科研专项经费项目(201301096)
教育部新世纪优秀人才支持计划
黑龙江省高校长江学者后备支持计划项目
黑龙江省杰出青年基金(JC201402)
关键词
三江平原
近似熵理论
月降水量
空间复杂性
Sanjiang Plain
approximate entropy theory
monthly precipitation
spatial complexity
