云南星云湖流域种植业面源污染驱动力分析

doi:10.19741/j.issn.1673-4831.2018.0251

生态与农村环境学报 ›› 2019, Vol. 35 ›› Issue (6): 730-737.doi: 10.19741/j.issn.1673-4831.2018.0251

云南星云湖流域种植业面源污染驱动力分析

郑田甜¹, 赵筱青^1,2, 卢飞飞¹, 普军伟¹, 苗培培¹

1. 云南大学资源环境与地球科学学院, 云南昆明 650500;
2. 云南大学“一带一路”研究院, 云南昆明 650500

收稿日期:2018-05-07 出版日期:2019-06-25 发布日期:2019-06-25
通讯作者: 赵筱青 E-mail:xqzhao@ynu.edu.cn
作者简介:郑田甜(1994-),女,陕西西安人,硕士生,主要研究方向为农业面源污染及土地利用。E-mail:1971504997@qq.com
基金资助:
玉溪地区三大湖泊（抚仙湖、星云湖、杞麓湖）遥感监测项目（玮元-A2016191）；云南大学第八届研究生科研创新项目（ynuy2016113）；云南大学一流学科地理学学科建设项目（C176210103，C176210215）；云南喀斯特山区水土资源-生态耦合协调及国土空间优化调控项目〔2018FY001（-017）〕

Analysis on the Driving Force of Farming Non-Point Source Pollution in the Xingyun Lake Basin of Yunan Province

ZHENG Tian-tian¹, ZHAO Xiao-qing^1,2, LU Fei-fei¹, PU Jun-wei¹, MIAO Pei-pei¹

1. College of Resource Environment and Earth Science, Yunnan University, Kunming 650500, China;
2. “Belt and Road” Research Institute, Yunnan University, Kunming 650500, China

Received:2018-05-07 Online:2019-06-25 Published:2019-06-25

摘要/Abstract

摘要：

种植业面源污染是湖泊水的主要污染源之一，但是有关种植业面源污染驱动力的研究甚少。为了研究星云湖流域种植业面源污染的驱动力，通过流失系数法计算2005、2010和2015年种植业化肥流失量，由多元线性回归分析其影响因素。结果表明：（1）农业人口占总人口的比重、耕地比重、经济作物和果树的播种面积、经济作物与粮食作物的播种面积比、第一产业产值均与化肥流失量呈正相关；粮食作物的播种面积、人均非农收入、环保投资指数均与化肥流失量呈负相关。（2）经济作物和果树的播种面积、经济作物与粮食作物播种面积比与化肥流失量正相关程度最高，均大于0.9，所以星云湖流域种植业面源污染大小的决定因素是种植结构。建议下一步对星云湖流域种植业结构和空间布局进行优化。

关键词: 种植业面源污染, 多元线性回归模型, 驱动力

Abstract:

Farming non-point source pollution is one of the main sources of water pollution in lakes. However, little research has been done on the driving force of farming non-point source pollution. In order to study the driving forces of nonpoint source pollution in farming industry in Xingyun Lake Basin, the amount of fertilizer loss from farming industry in 2005, 2010 and 2015 was calculated by the loss coefficient method, and the influencing factors was analyzed by multiple linear regression. The results show that:(1) The proportion of agricultural population in the total population, the proportion of cultivated land, the farming area of economic crops and fruit trees, the ratio of sowing area of economic crops and grain crops, and the output value of the first industry are positively correlated with the amount of chemical fertilizer loss. The sown area of grain crops, non-agricultural income per capita, and environmental protection investment index are all negatively related to the amount of chemical fertilizer loss. (2) The farming area of economic crops and fruit trees, the ratio of sowing area of economic crops to grain crops and the amount of chemical fertilizer loss are the highest, which are all greater than 0. 9. Therefore, the decisive factor of planting non-point source pollution is planting structure in Xingyun Lake Basin.

Key words: farming non-point source pollution, multiple linear regression model, driving force

中图分类号:

X824

郑田甜, 赵筱青, 卢飞飞, 普军伟, 苗培培. 云南星云湖流域种植业面源污染驱动力分析[J]. 生态与农村环境学报, 2019, 35(6): 730-737.

ZHENG Tian-tian, ZHAO Xiao-qing, LU Fei-fei, PU Jun-wei, MIAO Pei-pei. Analysis on the Driving Force of Farming Non-Point Source Pollution in the Xingyun Lake Basin of Yunan Province[J]. Journal of Ecology and Rural Environment, 2019, 35(6): 730-737.

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云南星云湖流域种植业面源污染驱动力分析

Analysis on the Driving Force of Farming Non-Point Source Pollution in the Xingyun Lake Basin of Yunan Province

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