Annual nitrate load patterns in an agricultural watershed in consecutive dry years
Abstract Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration data. The data set spanned 12 years including three consecutive dry years. Baseflow separation, load estimation, and nonparametric linea...
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Published in | Hydrology Research Vol. 52; no. 4; pp. 847 - 863 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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01.08.2021
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Abstract | Abstract
Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration data. The data set spanned 12 years including three consecutive dry years. Baseflow separation, load estimation, and nonparametric linear regression were applied to separate point source (PS), baseflow, and surface runoff NO3-N loads from the total load. The mean annual nonpoint source (NPS) load was 2.84 kg·ha−1·yr−1, accounting for 90.8% of the total load. Baseflow contributed approximately one-fourth of the natural runoff and half of the NPS load. The baseflow nitrate index (i.e., the ratio of baseflow NO3-N load to total NPS NO3-N load) was 25.4% higher in consecutive dry years than in individual dry years. This study demonstrated that baseflow is the preferential hydrological pathway for NO3-N transport in the HRB and that baseflow delivers a higher NO3-N percentage to streams under long-term drought than under short-term drought. This study highlights the alarming evidence that continuous drought caused by climate change may lead to a higher rate of nitrogen loss in agricultural watersheds. |
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AbstractList | Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration data. The data set spanned 12 years including three consecutive dry years. Baseflow separation, load estimation, and nonparametric linear regression were applied to separate point source (PS), baseflow, and surface runoff NO3-N loads from the total load. The mean annual nonpoint source (NPS) load was 2.84 kg·ha−1·yr−1, accounting for 90.8% of the total load. Baseflow contributed approximately one-fourth of the natural runoff and half of the NPS load. The baseflow nitrate index (i.e., the ratio of baseflow NO3-N load to total NPS NO3-N load) was 25.4% higher in consecutive dry years than in individual dry years. This study demonstrated that baseflow is the preferential hydrological pathway for NO3-N transport in the HRB and that baseflow delivers a higher NO3-N percentage to streams under long-term drought than under short-term drought. This study highlights the alarming evidence that continuous drought caused by climate change may lead to a higher rate of nitrogen loss in agricultural watersheds. Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration data. The data set spanned 12 years including three consecutive dry years. Baseflow separation, load estimation, and nonparametric linear regression were applied to separate point source (PS), baseflow, and surface runoff NO3-N loads from the total load. The mean annual nonpoint source (NPS) load was 2.84 kg·ha−1·yr−1, accounting for 90.8% of the total load. Baseflow contributed approximately one-fourth of the natural runoff and half of the NPS load. The baseflow nitrate index (i.e., the ratio of baseflow NO3-N load to total NPS NO3-N load) was 25.4% higher in consecutive dry years than in individual dry years. This study demonstrated that baseflow is the preferential hydrological pathway for NO3-N transport in the HRB and that baseflow delivers a higher NO3-N percentage to streams under long-term drought than under short-term drought. This study highlights the alarming evidence that continuous drought caused by climate change may lead to a higher rate of nitrogen loss in agricultural watersheds. HIGHLIGHTS Baseflow is the preferential hydrological pathway for nitrate transport in the Huai River Basin.; Baseflow delivers a higher percentage of nitrate to streams in consecutive dry years than in individual dry years.; The combination of baseflow separation, load estimation, and nonparametric linear regression provides a convenient method to differentiate the nitrate load from different sources.; Abstract Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration data. The data set spanned 12 years including three consecutive dry years. Baseflow separation, load estimation, and nonparametric linear regression were applied to separate point source (PS), baseflow, and surface runoff NO3-N loads from the total load. The mean annual nonpoint source (NPS) load was 2.84 kg·ha−1·yr−1, accounting for 90.8% of the total load. Baseflow contributed approximately one-fourth of the natural runoff and half of the NPS load. The baseflow nitrate index (i.e., the ratio of baseflow NO3-N load to total NPS NO3-N load) was 25.4% higher in consecutive dry years than in individual dry years. This study demonstrated that baseflow is the preferential hydrological pathway for NO3-N transport in the HRB and that baseflow delivers a higher NO3-N percentage to streams under long-term drought than under short-term drought. This study highlights the alarming evidence that continuous drought caused by climate change may lead to a higher rate of nitrogen loss in agricultural watersheds. |
Author | Ruan, Xiaohong Chen, Shuai |
Author_xml | – sequence: 1 givenname: Shuai orcidid: 0000-0003-1629-7278 surname: Chen fullname: Chen, Shuai organization: Key Laboratory for Surficial Geochemistry of the Ministry of Education, Nanjing University, Nanjing 210023, China, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China – sequence: 2 givenname: Xiaohong surname: Ruan fullname: Ruan, Xiaohong organization: Key Laboratory for Surficial Geochemistry of the Ministry of Education, Nanjing University, Nanjing 210023, China, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China |
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References | key-10.2166/nh.2021.135-23 key-10.2166/nh.2021.135-45 key-10.2166/nh.2021.135-44 key-10.2166/nh.2021.135-21 key-10.2166/nh.2021.135-43 key-10.2166/nh.2021.135-20 key-10.2166/nh.2021.135-41 key-10.2166/nh.2021.135-40 Chen (key-10.2166/nh.2021.135-7) 2017; 53 key-10.2166/nh.2021.135-29 key-10.2166/nh.2021.135-28 Andersen (key-10.2166/nh.2021.135-4) 2014; 195 key-10.2166/nh.2021.135-27 key-10.2166/nh.2021.135-25 key-10.2166/nh.2021.135-47 key-10.2166/nh.2021.135-24 key-10.2166/nh.2021.135-46 Ge (key-10.2166/nh.2021.135-16) 2006; 27 Barlow (key-10.2166/nh.2021.135-5) 2015 Ju (key-10.2166/nh.2021.135-26) 2010 Helsel (key-10.2166/nh.2021.135-22) 1992 key-10.2166/nh.2021.135-12 key-10.2166/nh.2021.135-34 key-10.2166/nh.2021.135-11 key-10.2166/nh.2021.135-33 key-10.2166/nh.2021.135-10 key-10.2166/nh.2021.135-32 key-10.2166/nh.2021.135-31 key-10.2166/nh.2021.135-8 key-10.2166/nh.2021.135-30 key-10.2166/nh.2021.135-9 key-10.2166/nh.2021.135-6 key-10.2166/nh.2021.135-19 key-10.2166/nh.2021.135-18 key-10.2166/nh.2021.135-17 key-10.2166/nh.2021.135-39 key-10.2166/nh.2021.135-38 key-10.2166/nh.2021.135-15 key-10.2166/nh.2021.135-37 key-10.2166/nh.2021.135-14 key-10.2166/nh.2021.135-36 key-10.2166/nh.2021.135-13 key-10.2166/nh.2021.135-35 key-10.2166/nh.2021.135-2 key-10.2166/nh.2021.135-3 Runkel (key-10.2166/nh.2021.135-42) 2004 key-10.2166/nh.2021.135-1 |
References_xml | – ident: key-10.2166/nh.2021.135-14 doi: 10.1002/hyp.5675 – ident: key-10.2166/nh.2021.135-9 doi: 10.1038/nplants.2017.74 – ident: key-10.2166/nh.2021.135-2 doi: 10.1016/j.jhydrol.2004.03.013 – ident: key-10.2166/nh.2021.135-30 doi: 10.1016/j.scitotenv.2017.03.029 – ident: key-10.2166/nh.2021.135-45 doi: 10.1016/j.jhydrol.2010.11.006 – ident: key-10.2166/nh.2021.135-10 doi: 10.1016/j.pce.2015.11.005 – start-page: 55 volume-title: Fundamental Research on Fate and Efficient Use of Nitrogen Fertilizer in Main Agroecosystems year: 2010 ident: key-10.2166/nh.2021.135-26 article-title: Nitrogen cycling and ecoenvironment effect of winter wheat-summer maize rotation in North China Plain (in Chinese) contributor: fullname: Ju – ident: key-10.2166/nh.2021.135-17 doi: 10.1029/2001WR001149 – ident: key-10.2166/nh.2021.135-23 doi: 10.1016/j.agwat.2018.06.026 – ident: key-10.2166/nh.2021.135-15 doi: 10.1016/j.jhydrol.2008.01.005 – volume-title: Statistical Methods in Water Resources year: 1992 ident: key-10.2166/nh.2021.135-22 contributor: fullname: Helsel – volume: 195 start-page: 53 year: 2014 ident: key-10.2166/nh.2021.135-4 article-title: Mitigating diffuse nitrogen losses in the Nordic-Baltic countries publication-title: Agriculture, Ecosystems & Environment doi: 10.1016/j.agee.2014.05.009 contributor: fullname: Andersen – ident: key-10.2166/nh.2021.135-44 doi: 10.1016/j.jhydrol.2004.03.010 – ident: key-10.2166/nh.2021.135-8 doi: 10.1029/WR025i005p00937 – ident: key-10.2166/nh.2021.135-46 doi: 10.1016/j.catena.2020.104994 – ident: key-10.2166/nh.2021.135-27 doi: 10.2166/wst.2010.245 – ident: key-10.2166/nh.2021.135-35 – ident: key-10.2166/nh.2021.135-29 doi: 10.1016/j.jclepro.2015.08.074 – ident: key-10.2166/nh.2021.135-47 doi: 10.1016/j.chemosphere.2018.04.133 – ident: key-10.2166/nh.2021.135-18 doi: 10.1002/wrcr.20492 – ident: key-10.2166/nh.2021.135-21 doi: 10.1002/hyp.13597 – ident: key-10.2166/nh.2021.135-40 doi: 10.1016/j.scitotenv.2009.01.053 – ident: key-10.2166/nh.2021.135-41 doi: 10.1080/00103624.2013.742333 – ident: key-10.2166/nh.2021.135-32 doi: 10.1007/s11356-019-04470-1 – volume: 53 start-page: 860 issue: 5 year: 2017 ident: key-10.2166/nh.2021.135-7 article-title: Modeling of nitrate flux between groundwater and surface water based on a coupled model in Shaying River Basin publication-title: Journal of Nanjing University (Natural Science) contributor: fullname: Chen – ident: key-10.2166/nh.2021.135-12 doi: 10.1038/s41586-019-1594-4 – ident: key-10.2166/nh.2021.135-24 doi: 10.2134/jeq1999.00472425002800010005x – ident: key-10.2166/nh.2021.135-37 doi: 10.1016/j.agee.2014.02.002 – ident: key-10.2166/nh.2021.135-6 – volume-title: Load Estimator (LOADEST) – A FORTRAN Program for Estimating Constituent Loads in Streams and Rivers year: 2004 ident: key-10.2166/nh.2021.135-42 doi: 10.3133/tm4A5 contributor: fullname: Runkel – ident: key-10.2166/nh.2021.135-20 doi: 10.1016/j.jhydrol.2015.04.005 – ident: key-10.2166/nh.2021.135-34 doi: 10.3390/su12229497 – ident: key-10.2166/nh.2021.135-11 doi: 10.1016/j.agee.2014.06.007 – ident: key-10.2166/nh.2021.135-3 doi: 10.2112/SI80-010.1 – ident: key-10.2166/nh.2021.135-25 doi: 10.1016/S2095-3119(17)61743-X – ident: key-10.2166/nh.2021.135-28 doi: 10.1073/pnas.1816892116 – ident: key-10.2166/nh.2021.135-36 doi: 10.1127/metz/2018/0912 – ident: key-10.2166/nh.2021.135-13 doi: 10.1016/j.cej.2018.01.128 – ident: key-10.2166/nh.2021.135-33 doi: 10.13031/2013.23153 – ident: key-10.2166/nh.2021.135-1 doi: 10.1023/A:1024592815576 – ident: key-10.2166/nh.2021.135-31 doi: 10.1007/s11631-020-00412-8 – ident: key-10.2166/nh.2021.135-39 doi: 10.1016/j.agee.2020.107223 – volume-title: U.S. Geological Survey Groundwater Toolbox, a Graphical and Mapping Interface for Analysis of Hydrologic Data (Version 1.0): User Guide for Estimation of Base Flow, Runoff, and Groundwater Recharge from Streamflow Data year: 2015 ident: key-10.2166/nh.2021.135-5 contributor: fullname: Barlow – volume: 27 start-page: 268 issue: 4 year: 2006 ident: key-10.2166/nh.2021.135-16 article-title: The quaternary aquifer division and character analysis of plain in Huaihe River basin publication-title: Resources Survey & Environment contributor: fullname: Ge – ident: key-10.2166/nh.2021.135-19 doi: 10.1007/s11430-016-5329-1 – ident: key-10.2166/nh.2021.135-43 doi: 10.1111/j.1745-6584.2001.tb00350.x – ident: key-10.2166/nh.2021.135-38 doi: 10.1016/j.agee.2012.07.002 |
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Snippet | Abstract
Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N... Nitrate (NO3-N) load characteristics in consecutive dry years in the Huai River Basin (HRB), China, were examined using streamflow and NO3-N concentration... |
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SubjectTerms | Agricultural runoff agricultural watershed Agricultural watersheds Aquifers Base flow baseflow baseflow enrichment ratio Climate change consecutive dry years Drought Fertilizers Groundwater discharge huai river basin Hydrology Load nitrate load Nitrates Nitrogen Precipitation River basins Rivers Runoff Seasons Stream discharge Stream flow Streams Surface runoff Surface water Water pollution |
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Title | Annual nitrate load patterns in an agricultural watershed in consecutive dry years |
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