摘要
为探讨多因素组合作用下青海省高寒草地退化的情况,量化并挖掘多因素集与青海省草地退化之间的关联关系,文中以高寒草地为研究对象,通过收集2005—2014年青海省气象数据、社会经济等各方面的数据并进行分级,以草地NDVI指数为退化评价指标,采用FP-growth算法来分析高寒草地植被覆盖退化与影响因子之间的关联性,经过置信度筛选得到以下结果:影响青海省高寒草地退化的影响因素集为[G4,Q1,J2],即当GDP均值在较高水平(157.8亿元~191.76亿元)、气温均值在较低水平(-15.77~-8.94℃)以及降水均值在较低水平(385.18~1 570.80 mm)的同时发生条件下,草地盖度较低,草地容易产生退化的情况。该结果具有较高的置信度,验证了FP-growth算法在草地退化多因素组合研究中的可行性。
In order to explore the degradation of alpine grassland in Qinghai province caused by the combination of various influencing factors,the relationship between multi-factor set and grassland degradation in Qinghai province was quantified and explored.In this paper,alpine grassland is taken as the research object.The data of various aspects such as meteorological data and social economy in Qinghai province from 2005 to 2014 are collected and graded.The grassland NDVI index is used as the degradation evaluation index,and the FP-growth algorithm is used to analyze the correlation between vegetation cover degradation and impact factors of alpine grassland.Through the higher confidence screening,the following conclusions: the influencing factors affecting the degradation of alpine grassland in Qinghai province are [G4,Q1,J2],that is,when the GDP average is at a higher level(157.8 billion yuan~ 19.17 billion yuan),when the average temperature is at a low level(-15.77~-8.94 ℃) and the average precipitation value is at a low level(385.18~1 570.80 mm),the grass cover is low and the grass is prone to degradation.The results have high confidence,which verifies the feasibility of the FP-growth algorithm in the multi-factor combination of grassland degradation.
引文
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