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河南省人类活动净磷输入的时空变化与影响参数
引用本文:马华,雷秋良,杜新忠,闫铁柱,裴玮,张天鹏,李影,罗加法,周脚根,刘宏斌. 河南省人类活动净磷输入的时空变化与影响参数[J]. 中国环境科学, 2022, 42(3): 1318-1326
作者姓名:马华  雷秋良  杜新忠  闫铁柱  裴玮  张天鹏  李影  罗加法  周脚根  刘宏斌
作者单位:1. 中国农业科学院农业资源与农业区划研究所, 农业农村部面源污染控制重点实验室, 北京 100081;2. 中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101;3. 中国科学院大学, 北京 100049;4. 新西兰皇家农业科学院, 汉密尔顿 3240;5. 淮阴师范学院, 江苏 淮阴 223300
基金项目:国家自然科学基金区域创新发展联合基金项目(U20A20114);国家自然科学基金项目(41877009,31572208)
摘    要:为探究河南省人类活动净磷输入状况,基于河南省18个省辖市(县辖市)行政单元统计数据,利用人类活动净磷输入量(NAPI)模型,核算河南省1990、1995、2000、2005、2010、2015和2019年人类活动净磷输入量.结果表明:在时间尺度上,1990~2015年河南省NAPI整体呈升高趋势,2015~2019年略...

关 键 词:人类活动净磷输入量(NAPI)  时空变化趋势  流动人口  河南省  参数不确定性
收稿时间:2021-07-22

Spatio-temporal variation and the impacts from parameters analysis of net anthropogenic phosphorus inputs in Henan province
MA Hua,LEI Qiu-liang,DU Xin-zhong,YAN Tie-zhu,PEI Wei,ZHANG Tian-peng,LI Ying,LUO Jia-fa,ZHOU Jiao-gen,LIU Hong-bin. Spatio-temporal variation and the impacts from parameters analysis of net anthropogenic phosphorus inputs in Henan province[J]. China Environmental Science, 2022, 42(3): 1318-1326
Authors:MA Hua  LEI Qiu-liang  DU Xin-zhong  YAN Tie-zhu  PEI Wei  ZHANG Tian-peng  LI Ying  LUO Jia-fa  ZHOU Jiao-gen  LIU Hong-bin
Abstract:In order to explore the status of net anthropogenic phosphorus input in Henan province, this study was based on the statistics data of 18province-administered towns and used the net anthropogenic phosphorus input (NAPI) model to calculate the phosphorus flow in the province from 1990~2019. NAPI of Henan Province had an overall upward trend from 1990 to 2015 and a slight decrease from 2015 to 2019. However, the NAPI of Henan Province was always higher than the national average in China, with an average annual growth rate of 2.86%. On a spatial scale, the east was higher than the west, and gradually decreased in a radial pattern to the north, west, and south. The main cities that affected NAPI in Henan Province are the Zhoukou, Xuchang, Shangqiu, Puyang, and Luohe cities, accounting for 47.05% of the total NAPI in Henan Province. A detailed analysis demonstrated that phosphate fertilizer application was the main contributor to NAPI, with the average annual contribution rate of 85.78% that was highly correlated with NAPI (R2>0.8). The second and third most important sources were food/feed and non-food inputs, accounting for 10.63% and 2.56%, respectively. Furthermore, among the input components of the NAPI model, the net phosphorus input of food/feed was most affected by the parameters, where its variation ranged from -23.48% to 66.81%; The second input was fertilizers, which varied in a range of -1.76% to 3.52%, affected by the parameters; The higher the proportion of components in the NAPI model, the more sensitive their parameters are, and the sensitivity index of the parameters contained in the Pfer components is higher than that of Pim and Pnf.
Keywords:net anthropogenic phosphorus inputs(NAPI)  spatiotemporal change  floating population  Henan Province  parameter uncertainty  
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