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| 不同降水年型环境因子对水质的影响 |
| Influence of Environmental Factors on Water Quality in Different Precipitation Years |
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| DOI： |
| 中文关键词: 水质 环境因子 平水年 丰水年 多元逐步线性回归 颍河源头流域 |
| 英文关键词: Water quality Environmental factors Normal year Wet year Multiple stepwise linear regression Ying River headwater basin |
| 基金项目:国家自然科学基金资助项目（32271848） |
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| 摘要点击次数: 239 |
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| 中文摘要: |
| 通过检测2019年和2021年7月—9月颍河源头流域水质，采用多元逐步线性回归分析和冗余分析检验环境因子与水质之间的关系。结果表明：2019年（平水年）流域pH值和EC值较高，而2021年（丰水年）N和P含量较高，这说明强降水可能会导致水体富营养化，而正常降水则更可能出现无机污染。平水年总体水质变化与农业用地面积占比和平均海拔高度相关，两者分别占总解释率的31.1%和18.6%。丰水年总体水质变化的主要影响因子为农业用地面积占比和斑块密度，分别占总解释率的26.1%和15.9%。环境因子在平水年和丰水年对总体水质变化的影响分别占总解释率的74.2%和69.3%。 |
| 英文摘要: |
| Through water quality testing in Ying River headwater basin from July to September 2019 and 2021， multiple stepwise linear regression analysis and redundancy analysis was used to examine the relationship between environmental factors and water quality. The results showed that pH value and EC value in the basin were high in 2019 (normal year)， and N and P contents were high in 2021 (wet year)， indicating that heavy precipitation might lead to water eutrophication， while normal precipitation was more likely to cause inorganic pollution. The overall water quality change in normal years was related to the proportion of agricultural land area and the average altitude， which accounted for 31.1% and 18.6% of the total explanatory rate， respectively. The main factors affecting overall water quality change in wet years were the proportion of agricultural land area and patch density， accounting for 26.1% and 15.9% of the total explanatory rate， respectively. Environmental factors accounted for 74.2% and 69.3% of the total explanatory rate of water quality change in normal and wet years， respectively. |
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