河南省典型农区近地表大气氨时空分布特征及主要影响因素

doi:10.3864/j.issn.0578-1752.2025.01.010

中国农业科学 ›› 2025, Vol. 58 ›› Issue (1): 127-140.doi: 10.3864/j.issn.0578-1752.2025.01.010

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

河南省典型农区近地表大气氨时空分布特征及主要影响因素

吕金岭¹^,²(), 尤克³, 王小非¹, 肖强⁴, 李文峰⁵, 马进⁶, 杨清⁷, 张金平⁸, 孔海江⁹, 常运华¹⁰^,^*()

¹ 河南省农业科学院植物营养与资源环境研究所，郑州 450002
² 河南省农业生态环境重点实验室，郑州 450002
³ 河南省生态环境监测和安全中心，郑州 450046
⁴ 北京市农林科学院植物营养与资源环境研究所，北京 100097
⁵ 许昌市气象局，河南许昌 461099
⁶ 洛阳市气象局，河南洛阳 471026
⁷ 安阳市气象局，河南安阳 455099
⁸ 新乡市气象局，河南新乡 453003
⁹ 中国气象局河南省农业气象保障重点实验室，郑州 450003
¹⁰ 南京信息工程大学大气环境中心，南京 210044

收稿日期:2024-01-05 接受日期:2024-05-21 出版日期:2025-01-01 发布日期:2025-01-07
通信作者:
常运华，E-mail：changy13@nuist.edu.cn
联系方式: 吕金岭，E-mail：lvjinling2008@163.com。
基金资助:
河南省农业科学院杰出青年基金项目(2023JQ04); 国家自然科学基金(41807098); 国家重点研发计划(2017YFC0212400)

Variation Characteristics and Key Influencing Factors of Near-Surface Ambient Ammonia Concentration in Typical Cropland Areas in Henan Province

LÜ JinLing¹^,²(), YOU Ke³, WANG XiaoFei¹, XIAO Qiang⁴, LI WenFeng⁵, MA Jin⁶, YANG Qing⁷, ZHANG JinPing⁸, KONG HaiJiang⁹, CHANG YunHua¹⁰^,^*()

¹ Institute of Plant Nutrition, Resources and Environmental Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002
² Henan Key Laboratory of Agricultural Eco-Environment, Zhengzhou 450002
³ Henan Ecological Environment Monitoring and Security Center, Zhengzhou 450046
⁴ Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097
⁵ Xuchang Meteorological Bureau, Xuchang 461099, Henan
⁶ Luoyang Meteorological Bureau, Luoyang 471026, Henan
⁷ Anyang Meteorological Bureau, Anyang 455099, Henan
⁸ Xinxiang Meteorological Bureau, Xinxiang 453003, Henan
⁹ Henan Key Laboratory of Agrometeorological Support and Applied Technique, China Meteorological Administration, Zhengzhou 450003
¹⁰ Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044

Received:2024-01-05 Accepted:2024-05-21 Published:2025-01-01 Online:2025-01-07

摘要/Abstract

摘要：

【目的】农田氨挥发是大气颗粒物中铵盐的主要来源之一，对城市和农村空气质量有密切影响。对河南省典型农区近地表大气氨浓度时空变化特征及关键影响因素进行系统研究，为农田区域大气颗粒污染物的针对性治理提供科学依据。【方法】选取河南省10个代表性农田区域（小麦-玉米轮作区），利用被动法，开展为期两年的近地表大气氨浓度监测与驱动因素研究。【结果】从时间上（季节性）来看，不同季节近地表大气氨浓度差异较大，其中夏季近地表大气氨平均浓度最高，为12.0 μg N·m^-3，其次为春季和秋季，均值分别为10.8和8.9 μg N·m^-3，冬季最低，均值仅为6.7 μg N·m^-3。从空间上来看，豫东开封农田区域氨浓度最高，其年平均氨浓度可达14.7 μg N·m^-3，其次为豫北新乡和安阳，其年均大气氨浓度分别为12.5和11.0 μg N·m^-3，再次为豫中郑州和豫北的焦作，其近地表大气氨浓度分别为10.9和10.6 μg N·m^-3，而豫西的洛阳、平顶山、豫南许昌、漯河和黄泛区（周口）的近地表大气氨浓度较低，其数值介于7.9—9.6 μg N·m^-3之间。从土壤类型来看，不同土壤类型近地表大气氨浓度存在明显不同，其中潮土近地表大气氨浓度最高，为11.0—14.7 μg N·m^-3，褐土和黄褐土区其氨浓度介于9.0—9.6 μg N·m^-3之间，砂姜黑土和黄棕壤农田区域氨浓度较低，为8.06—8.11 μg N·m^-3。不同区域的近地表大气氨浓度高低是多重因素共同作用的结果，其中氮肥施用量和土壤pH与近地表大气氨浓度存在显著的正相关关系，降雨量与近地表大气氨浓度存在显著的负相关关系，几种因素的交互作用导致河南省农田系统近地表大气氨浓度差异较大。【结论】基于以上研究结果，降低施氮量有助于系统性降低河南省农田区域近地表氨浓度；豫北和豫东农田区是重点关注区域。

关键词: 小麦-玉米轮作区, 大气氨浓度, 时空分布, 被动采样, 线性相关性分析, 反距离法, 河南省

Abstract:

【Objective】 Ammonia volatilization from cropland is one of the main sources of ammonium salts in atmospheric particulate matter, which has a close impact on urban and rural air quality. The temporal-spatial variation characteristics of near-surface atmospheric ammonia concentration and key influencing factors in a typical agricultural area of Henan Province was conducted systematically, so as to provide the scientific basis for targeted management of atmospheric particulate pollutants in cropland areas.【Method】10 typical cropland areas (wheat-maize rotation areas) in Henan Province were selected to conduct a two-year study on monitoring near-surface ammonia concentration by using the ammonia passive method and investigating its driving factors. 【Result】 In terms of time (seasonality), the highest average near-surface ammonia concentration value was found in summer, with an average of 12.0 μg N·m^-3, followed by spring and autumn, with an average of 10.8 and 8.9 μg N·m^-3, respectively, and the lowest value in winter, with an average of only 6.7 μg N·m^-3. From a spatial perspective, the highest ammonia concentration in the cropland area of Zhengzhou in east Henan was 14.7 μg N·m^-3 on average, followed by Xinxiang and Anyang in north Henan with annual average atmospheric ammonia concentrations of 12.5 and 11.0 μg N·m^-3, respectively. Zhengzhou in central Henan and Jiaozuo in north Henan had near-surface atmospheric ammonia concentrations of 10.9 and 10.6 μg N·m^-3, respectively, while the near-surface atmospheric ammonia concentrations in Luoyang, Pingdingshan, Xuchang, Luohe and Zhoukou in west Henan and south Henan were between 7.9 and 9.6 μg N·m^-3. From the perspective of soil types, among which fluvo-aquic soils had the highest near-surface ammonia concentration, with values ranging from 11.0 to 14.7 μg N·m^-3; the ammonia concentration values in the cinnamon soil and yellow cinnamon soil areas ranged from 9.0 to 9.6 μg N·m^-3; the ammonia concentration in lime concretion lime concretion black soil and yellow brown soil cropland was relatively low, with values ranging from 8.06 to 8.11 μg N·m^-3. The high and low near-surface ammonia concentrations in different regions were the result of multiple factors working together. Among them, there was a significant positive correlation between nitrogen fertilizer application rate and soil pH value and near-surface ammonia concentration, while there was a significant negative correlation between rainfall and near-surface ammonia concentration.【Conclusion】Based on the above research results, it was believed that reducing nitrogen application rate could help to systematically reduce the near-surface ammonia concentration in the cropland area of Henan Province, and the cropland area of northern and eastern Henan Province were the key areas of attention.

Key words: wheat-maize rotation areas, near-surface ambient ammonia concentration, temporal-spatial variation characteristics, passive sampling, linear correlation analysis, inverse distance method, Henan Province

吕金岭, 尤克, 王小非, 肖强, 李文峰, 马进, 杨清, 张金平, 孔海江, 常运华. 河南省典型农区近地表大气氨时空分布特征及主要影响因素[J]. 中国农业科学, 2025, 58(1): 127-140.

LÜ JinLing, YOU Ke, WANG XiaoFei, XIAO Qiang, LI WenFeng, MA Jin, YANG Qing, ZHANG JinPing, KONG HaiJiang, CHANG YunHua. Variation Characteristics and Key Influencing Factors of Near-Surface Ambient Ammonia Concentration in Typical Cropland Areas in Henan Province[J]. Scientia Agricultura Sinica, 2025, 58(1): 127-140.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2025.01.010

https://www.chinaagrisci.com/CN/Y2025/V58/I1/127

图/表 10

图1

表1

表2

图2

图3

图4

图5

图6

图7

表3

参考文献 32

[1]	刘学军, 沙志鹏, 宋宇, 董红敏, 潘月鹏, 高志岭, 李玉娥, 马林, 董文旭, 胡春胜, 王文林, 王悦, 耿红, 郑云昊, 顾梦娜. 我国大气氨的排放特征、减排技术与政策建议. 环境科学研究, 2021, 34(1): 149-157.
	LIU X J, SHA Z P, SONG Y, DONG H M, PAN Y P, GAO Z L, LI Y E, MA L, DONG W X, HU C S, WANG W L, WANG Y, GENG H, ZHENG Y H, GU M N. China’s atmospheric ammonia emission characteristics, mitigation options and policy recommendations. Research of Environmental Sciences, 2021, 34(1): 149-157. (in Chinese)
[2]	GU B J, ZHANG L, VAN DINGENEN R, VIENO M, VAN GRINSVEN H J, ZHANG X M, ZHANG S H, CHEN Y F, WANG S T, REN C C, RAO S, HOLLAND M, WINIWARTER W, CHEN D L, XU J M, SUTTON M A. Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM_2.5 air pollution. Science, 2021, 374(6568): 758-762.
[3]	XU W, ZHAO Y H, WEN Z, CHANG Y H, PAN Y P, SUN Y L, MA X, SHA Z P, LI Z Y, KANG J H, LIU L, TANG A H, WANG K, ZHANG Y, GUO Y X, ZHANG L, SHENG L F, ZHANG X M, GU B J, SONG Y, VAN DAMME M, CLARISSE L, COHEUR P F, COLLETT J L Jr, GOULDING K, ZHANG F S, HE K B, LIU X J. Increasing importance of ammonia emission abatement in PM_2.5 pollution control. Science Bulletin, 2022, 67(17): 1745-1749.
[4]	蔡祖聪, 颜晓元, 朱兆良. 立足于解决高投入条件下的氮污染问题. 植物营养与肥料学报, 2014, 20(1): 1-6.
	CAI Z C, YAN X Y, ZHU Z L. A great challenge to solve nitrogen pollution from intensive agriculture. Journal of Plant Nutrition and Fertilizer, 2014, 20(1): 1-6. (in Chinese)
[5]	周斌, 王雪, 段玉森, 顾传奇, 朱健. 北京秋冬季大气氨观测研究. 环境科学学报, 2022, 42(9): 384-391.
	ZHOU B, WANG X, DUAN Y S, GU C Q, ZHU J. The observation of atmospheric ammonia in Beijing during autumn and winter. Acta Scientiae Circumstantiae, 2022, 42(9): 384-391. (in Chinese)
[6]	吾拉哈提·阿达力别克, 展晓莹, 周丰, 居学海, 习斌, 黄宏坤, 靳拓, 许丹丹. 京津冀地区农业源氨排放的时空格局与减排潜力. 农业环境科学学报, 2021, 40(10): 2236-2245.
	WULAHATI·ADALIBIEKE, ZHAN X Y, ZHOU F, JU X H, XI B, HUANG H K, JIN T, XU D D. Spatiotemporal pattern and potential to mitigate ammonia emissions from agriculture in Beijing-Tianjin- Hebei region, China. Journal of Agro-Environment Science, 2021, 40(10): 2236-2245. (in Chinese)
[7]	谢梓豪, 樊品镐, 武华, 程琨, 潘根兴. 基于氨挥发因子方法的中国农田氨排放量估算. 环境科学学报, 2020, 40(11): 4180-4188.
	XIE Z H, FAN P G, WU H, CHENG K, PAN G X. Deriving volatile factors and estimating direct ammonia emissions for crop cultivation in China. Acta Scientiae Circumstantiae, 2020, 40(11): 4180-4188. (in Chinese)
[8]	刘湘雪, 蒲维维, 马志强, 林伟立, 韩婷婷, 李颖若, 周礼岩, 石庆峰. 北京地区大气氨时空变化特征. 中国环境科学, 2021, 41(8): 3473-3483.
	LIU X X, PU W W, MA Z Q, LIN W L, HAN T T, LI Y R, ZHOU L Y, SHI Q F. Study on the temporal and spatial variation of atmospheric ammonia in Beijing. China Environmental Science, 2021, 41(8): 3473-3483. (in Chinese)
[9]	邵生成, 常运华, 曹芳, 林煜棋, 范美益, 谢锋, 洪一航, 章炎麟. 南京城市大气氨-铵的高频演化及其气粒转化机制. 环境科学, 2019, 40(10): 4355-4363.
	SHAO S C, CHANG Y H, CAO F, LIN Y Q, FAN M Y, XIE F, HONG Y H, ZHANG Y L. High-frequency evolution of urban atmospheric ammonia and ammonium and its gas-to-particle conversion mechanism in Nanjing city. Environmental Science, 2019, 40(10): 4355-4363. (in Chinese)
[10]	BENEDICT K B, CHEN X, SULLIVAN A P, LI Y, DAY D, PRENNI A J, LEVIN E J T, KREIDENWEIS S M, MALM W C, SCHICHTEL B A, COLLETT J L Jr. Atmospheric concentrations and deposition of reactive nitrogen in Grand Teton National Park. Journal of Geophysical Research: Atmospheres, 2013, 118(20): 11875-11887.
[11]	LI Y, SCHICHTEL B A, WALKER J T, SCHWEDE D B, CHEN X, LEHMANN C M B, PUCHALSKI M A, GAY D A, JR COLLETT J L. Increasing importance of deposition of reduced nitrogen in the United States. Proceedings of the National Academy of Sciences of the United States of America, 2016, 113(21): 5874-5879.
[12]	KIM M S, KOO N, HYUN S, KIM J G. Comparison of ammonia emission estimation between passive sampler and chamber system in paddy soil after fertilizer application. International Journal of Environmental Research and Public Health, 2020, 17(17): 6387.
[13]	SCHJOERRING J K, SOMMER S G, FERM M. A simple passive sampler for measuring ammonia emission in the field. Water, Air, and Soil Pollution, 1992, 62(1): 13-24.
[14]	闵炬, 孙海军, 陈贵, 姜振萃, 陆扣萍, 纪荣婷, 施卫明. 太湖地区集约化农田氮素减排增效技术实践. 农业环境科学学报, 2018, 37(11): 2418-2426.
	MIN J, SUN H J, CHEN G, JIANG Z C, LU K P, JI R T, SHI W M. The practice of technologies for nitrogen emission reduction and efficiency increase in intensive farmland of Tai Lake region. Journal of Agro-Environment Science, 2018, 37(11): 2418-2426. (in Chinese)
[15]	吕金岭, 王小非, 寇长林. 两种方法测定砂姜黑土玉米季农田氨挥发. 磷肥与复肥, 2020, 35(11): 45-49.
	LÜ J L, WANG X F, KOU C L. Two methods for determination of ammonia volatilization in corn field of lime concretion black soil. Phosphate & Compound Fertilizer, 2020, 35(11): 45-49. (in Chinese)
[16]	贾玉欢, 王春迎, 孙凯, 马景金, 曹璟, 李谦, 武蕾丹, 马博健, 马江红, 王玉红. 洛阳市2017年大气氨排放清单的建立及其空间分布特征. 中国环境监测, 2021, 37(5): 116-124.
	JIA Y H, WANG C Y, SUN K, MA J J, CAO J, LI Q, WU L D, MA B J, MA J H, WANG Y H. The establishment of the anthropogenic ammonia emission inventory and its spatial distribution characteristics in Luoyang city in 2017. Environmental Monitoring in China, 2021, 37(5): 116-124. (in Chinese)
[17]	王琛, 尹沙沙, 于世杰, 卫军华, 谷幸珂, 宫密秘, 张瑞芹. 河南省2013年大气氨排放清单建立及分布特征. 环境科学, 2018, 39(3): 1023-1030.
	WANG C, YIN S S, YU S J, WEI J H, GU X K, GONG M M, ZHANG R Q. A 2013-based atmospheric ammonia emission inventory and its characteristic of spatial distribution in Henan Province. Environmental Science, 2018, 39(3): 1023-1030. (in Chinese)
[18]	WANG C, DUAN J K, REN C C, LIU H B, REIS S, XU J M, GU B J. Ammonia emissions from croplands decrease with farm size in China. Environmental Science & Technology, 2022, 56(14): 9915-9923.
[19]	LUO X S, LIU X J, PAN Y P, WEN Z, XU W, ZHANG L, KOU C L, LV J L, GOULDING K. Atmospheric reactive nitrogen concentration and deposition trends from 2011 to 2018 at an urban site in North China. Atmospheric Environment, 2020, 224: 117298.
[20]	HE Y X, PAN Y P, ZHANG G Z, JI D S, TIAN S L, XU X J, ZHANG R J, WANG Y S. Tracking ammonia morning peak, sources and transport with 1Hz measurements at a rural site in North China Plain. Atmospheric Environment, 2020, 235: 117630.
[21]	吕金岭, 王小非, 骆晓声, 梁少民, 寇长林. 减氮条件下砂壤质潮土区小麦-玉米轮作体系氨挥发特征及排放系数. 植物营养与肥料学报, 2021, 27(2): 346-359.
	LÜ J L, WANG X F, LUO X S, LIANG S M, KOU C L. Ammonia volatilization characteristics and emission coefficients of wheat and maize rotation in sandy fluvo-aquic soil under reduced N fertilization. Journal of Plant Nutrition and Fertilizers, 2021, 27(2): 346-359. (in Chinese)
[22]	LUO X S, LIU P, TANG A H, LIU J Y, ZONG X Y, ZHANG Q, KOU C L, ZHANG L J, FOWLER D, FANGMEIER A, CHRISTIE P, ZHANG F S, LIU X J. An evaluation of atmospheric Nr pollution and deposition in North China after the Beijing Olympics. Atmospheric Environment, 2013, 74: 209-216.
[23]	PAN Y P, TIAN S L, ZHAO Y H, ZHANG L, ZHU X Y, GAO J, HUANG W, ZHOU Y B, SONG Y, ZHANG Q, WANG Y S. Identifying ammonia hotspots in China using a national observation network. Environmental Science & Technology, 2018, 52(7): 3926-3934.
[24]	HAYASHI K, KOMADA M, MIYATA A. Atmospheric deposition of reactive nitrogen on turf grassland in central Japan: Comparison of the contribution of wet and dry deposition. Water, Air, & Soil Pollution: Focus, 2007, 7(1): 119-129.
[25]	胡瞒瞒, 董文旭, 王文岩, Gokul Gaudel, Peter Mosongo, 胡春胜. 华北平原氮肥周年深施对冬小麦-夏玉米轮作体系土壤氨挥发的影响. 中国生态农业学报(中英文), 2020, 28(12): 1880-1889.
	HU M M, DONG W X, WANG W Y, GAUDEL G, MOSONGO P, HU C S. The effects of deep application of nitrogen fertilization on ammonia volatilization in a winter wheat/summer maize rotation system in the North China Plain. Chinese Journal of Eco-Agriculture, 2020, 28(12): 1880-1889. (in Chinese)
[26]	谢威, 王盈盈, 孙婷, 王慎强, 赵旭. 室内培养条件下两种氨挥发监测方法的比较. 农业环境科学学报, 2019, 38(11): 2632-2641.
	XIE W, WANG Y Y, SUN T, WANG S Q, ZHAO X. Comparison of the ammonia detector-tube and boric acid absorption-standard acid titration methods to quantify ammonia volatilization in soil incubation. Journal of Agro-Environment Science, 2019, 38(11): 2632-2641. (in Chinese)
[27]	张惠, 杨正礼, 罗良国, 张晴雯, 易军, 王永生, 陈媛媛, 王明. 黄河上游灌区稻田氨挥发损失研究. 植物营养与肥料学报, 2011, 17(5): 1131-1139.
	ZHANG H, YANG Z L, LUO L G, ZHANG Q W, YI J, WANG Y S, CHEN Y Y, WANG M. Study on the ammonia volatilization from paddy field in irrigation area of the Yellow River. Plant Nutrition and Fertilizer Science, 2011, 17(5): 1131-1139. (in Chinese)
[28]	XU J, CHEN J, ZHAO N, WANG G C, YU G Y, LI H, HUO J T, LIN Y F, FU Q Y, GUO H Y, DENG C R, LEE S H, CHEN J M, HUANG K. Importance of gas-particle partitioning of ammonia in haze formation in the rural agricultural environment. Atmospheric Chemistry and Physics, 2020, 20(12): 7259-7269.
[29]	SHEN J L, LI Y, LIU X J, LUO X S, TANG H, ZHANG Y Z, WU J S. Atmospheric dry and wet nitrogen deposition on three contrasting land use types of an agricultural catchment in subtropical central China. Atmospheric Environment, 2013, 67: 415-424.
[30]	LI Y, THOMPSON T M, VAN DAMME M, CHEN X, BENEDICT K B, SHAO Y X, DAY D, BORIS A, SULLIVAN A P, HAM J, WHITBURN S, CLARISSE L, COHEUR P F, COLLETT J L Jr. Temporal and spatial variability of ammonia in urban and agricultural regions of northern Colorado, United States. Atmospheric Chemistry and Physics, 2017, 17(10): 6197-6213.
[31]	赵燕. 河南省砂姜黑土系统分类归属及代表土系的建立[D]. 郑州: 郑州大学, 2012.
	ZHAO Y. Calcic black soils classified in Chinese soil taxonomy and the soil series established in Henan Province[D]. Zhengzhou: Zhengzhou University, 2012. (in Chinese)
[32]	吕金岭, 王小非, 李太魁, 寇长林. 不同施肥方式下砂姜黑土冬小麦-夏玉米轮作农田氨挥发特征及排放系数. 中国生态农业学报(中英文), 2020, 28(12): 1869-1879.
	LÜ J L, WANG X F, LI T K, KOU C L. Ammonia emission characteristics and emission coefficients of wheat and corn rotation cropland under different fertilization methods in lime concretion black soil. Chinese Journal of Eco-Agriculture, 2020, 28(12): 1869-1879. (in Chinese)

地点 Location	经度 Latitude	纬度 Longitude	海拔 Altitude(m)	年均气温 Annual mean temperature (℃)	年均降雨量 Average rainfall (mm)	采样时期 Period
新乡Xinxiang, XX	113°35′24″	35°25′27″	76	14.0	573.4	2017.5.10-2019.4.9
平顶山 Pingdinshan, PDS	114°33′48″	36°4′59″	124	14.9	745.8	2017.5.10-2019.4.15
黄泛区 Huangfanqu, HFQ	114°15′13″	34°43′22″	64	14.0	750.0	2017.5.22-2019.6.9
郑州Zhenzhou, ZZ	113°10′13″	35°7′39″	108	14.3	542.2	2017.5.3-2019.3.21
漯河Luohe, LH	113°35′21″	33°27′40″	136	14.6	759.0	2017.5.15-2019.6.13
许昌Xuchang, XC	114°0′49″	34°11′24″	71	14.5	705.6	2017.5.9-2019.4.9
焦作Jiaozhuo, JZ	113°10′13″	35°7′39″	142	14.0	603.5	2017.5.4-2019.4.3
安阳Anyang, AY	114°33′48″	36°4′59″	70	13.5	576.0	2017.5.10-2019.4.8
开封Kaifeng, KF	114°11′47″	34°34′34″	69	14.0	635.0	2017.5.10-2018.9.15
洛阳Luoyang, LY	112°24′12″	34°25′11″	250	13.8	578.0	2017.5.23-2019.4.15

地点 Site	土壤类型 Soil type	土壤pH Soil pH	作物类型¹⁾ Crop type	氮肥种类占比^2） Proportion of nitrogen fertilizer species (%)			施氮量 Nitrogen application rate (kg·hm^-2)
地点 Site	土壤类型 Soil type	土壤pH Soil pH	作物类型¹⁾ Crop type	尿素 Urea	氯化铵³⁾ NH₄Cl	其他氮肥 Other N	施氮量 Nitrogen application rate (kg·hm^-2)
新乡XX	潮土 CT	8.7	W-M	55	43	2	500
平顶山PDS	黄棕壤HZT	6.5	W-M	60	38	2	500
黄泛区HFQ	黄褐土HHT	6.7	W-M	57	41	2	480
郑州ZZ	潮土CT	8.2	W-M	53	45	2	500
漯河LH	砂姜黑土SJHT	5.9	W-M	62	36	2	470
许昌XC	砂姜黑土SJHT	5.9	W-M	62	36	2	480
焦作JZ	潮土/褐土CT/HT	6.8	W-M	54	44	2	500
安阳AY	潮土CT	8.5	W-M	57	41	2	500
开封KF	潮土CT	8.4	W-M	55	43	2	550
洛阳LY	褐土HT	7.1	W-M	56	42	2	480

		NH₃	pH	Pre.	N	Tem.
相关性 Correlation	NH₃	1	0.831	-0.568	0.859	0.353
	pH		1	-0.772	0.638	-0.646
	Pre.			1	-0.344	0.404
	N				1	-0.384
	Tem.					1
显著性（单尾） Significance (single tail)	NH₃		0.001**	0.043*	0.001**	0.070
	pH			0.004**	0.024*	0.022*
	Pre.				0.166	0.124
	N					0.137
	Tem.

河南省典型农区近地表大气氨时空分布特征及主要影响因素

Variation Characteristics and Key Influencing Factors of Near-Surface Ambient Ammonia Concentration in Typical Cropland Areas in Henan Province

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 32

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	高兴祥, 孔媛, 张耀中, 李美, 李健, 金岩, 张国福, 刘帅帅, 刘明平, 曾艳, 柏连阳. 河南省冬小麦田杂草群落分布现状及其变化原因分析[J]. 中国农业科学, 2025, 58(1): 91-100.
[2]	冯晓琳, 张楚天, 许晨阳, 耿增超, 胡斐南, 杜伟. 陕西省土壤无机碳的时空分布特征及影响因素[J]. 中国农业科学, 2024, 57(8): 1517-1532.
[3]	朱瑞明, 赵荣钦, 焦士兴, 李小建, 肖连刚, 谢志祥, 杨青林, 王帅, 张慧芳. 河南省乡镇尺度冬小麦灌溉碳排放强度空间格局及影响因素分析[J]. 中国农业科学, 2024, 57(5): 950-964.
[4]	高慧珊, 李根明, 张进财, 姬广兴, 李青松. 河南省畜禽粪便同效当量替代化肥供需平衡分析[J]. 中国农业科学, 2024, 57(23): 4746-4760.
[5]	张英, 原青云, 任芳, 胡国君, 范旭东, 董雅凤. 葡萄浆果内坏死病毒RT-qPCR检测技术建立及其在葡萄砧木中的时空分布规律[J]. 中国农业科学, 2024, 57(14): 2771-2780.
[6]	曹鹏, 许建建, 李楚欣, 王新亮, 王春庆, 宋晨虎, 宋震. 柑橘黄化花叶病毒的实时定量PCR检测及其在寄主植株中的时空分布规律[J]. 中国农业科学, 2023, 56(18): 3574-3584.
[7]	熊淑萍, 高明, 张志勇, 秦步坛, 徐赛俊, 付新露, 王小纯, 马新明. 基于GIS的河南省小麦产量及产量构成要素时空差异分析[J]. 中国农业科学, 2022, 55(4): 692-706.
[8]	李方杰,任建强,吴尚蓉,陈仲新,张宁丹. 河南省冬小麦种植频率时空变化及影响因素分析[J]. 中国农业科学, 2020, 53(9): 1773-1794.
[9]	李世景, 徐萍, 张正斌, 卫云宗. 黄淮旱地冬小麦农艺性状与生育期气象因子的时空分布特征及互作关系[J]. 中国农业科学, 2019, 52(10): 1686-1697.
[10]	徐霞,赵亚南,黄玉芳,闫军营,叶优良. 不同地力水平下的小麦施肥效应[J]. 中国农业科学, 2018, 51(21): 4076-4086.
[11]	郭尔静，杨晓光，王晓煜，张天一，黄晚华，刘子琪，Tao Li. 湖南省双季稻产量差时空分布特征[J]. 中国农业科学, 2017, 50(2): 399-412.
[12]	赵双进, 唐晓东, 赵鑫, 冯燕, 赵聪聪, 张孟臣. 大豆开花落花及时空分布的观察研究[J]. 中国农业科学, 2013, 46(8): 1543-1554.
[13]	董朝阳1, 杨晓光1, 杨婕1, 解文娟12, 叶清13, 赵锦1, 李克南1. 中国北方地区春玉米干旱的时间演变特征和空间分布规律[J]. 中国农业科学, 2013, 46(20): 4234-4245.
[14]	王静, 杨晓光, 吕硕, 刘志娟, 李克南, 荀欣, 刘园, 王恩利. 黑龙江省春玉米产量潜力及产量差的时空分布特征[J]. 中国农业科学, 2012, 45(10): 1914-1925.
[15]	. 利用表型和SSR标记分析河南省玉米地方品种的遗传多样性[J]. 中国农业科学, 2009, 42(4): 1136-1144 .