Nitrogen inputs and isotopes in precipitation in the North China Plain

Zhang, Y.; Liu, X.J.; Fangmeier, Andreas; Goulding, Keith; Zhang, F.S.

doi:10.1016/j.atmosenv.2007.11.002

Cited by 173 publications

(102 citation statements)

References 41 publications

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“…Wet N deposition was consistent with results in the NCP in the 2000s (Zhang et al, 2008). However, dry deposition of N was much lower than results obtained from monitoring results (Shen et al, 2009).…”

Section: Comparison Between Modeling Results and Observationssupporting

confidence: 73%

“…The seven major provinces on the NCP, namely Beijing, Tianjing, Hebei, Shandong, Henan, Jiangsu and Anhui, share only 8 % of the total area of China but contribute 37 % of the total national GDP (China Statistical Yearbook, 2009). They consume 27 % of the total N fertilizer and 26 % of the total energy nationally (China Statistical Yearbook, 2009), making the NCP one of the great emitters of nitrogenous pollutants (Wang et al, 2005;Zhang et al, 2010;Richter et al, 2005;Clarisse et al, 2009) and one of the high N deposition areas both nationally and globally (Zhang et al, 2008;Shen et al, 2009;He et al, 2010). Although global or continental scale studies of N deposition cover this region (Dentener et al, 2006;Holloway et al, 2002), it is impossible to describe the situation in a region with an area of 313 295 km 2 at resolutions from 0.5 • to 10 • .…”

Section: Introductionmentioning

confidence: 99%

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Simulation of nitrogen deposition in the North China Plain by the FRAME model

et al. 2011

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Abstract. Simulation of atmospheric nitrogen (N) deposition in the North China Plain (NCP) at high resolution, 5 × 5 km 2 , was conducted for the first time by the Fine Resolution Atmospheric Multi-pollutant Exchange (FRAME) model. The total N deposition budget was 1481 Gg in this region, with 77 % from reduced N and 23 % from oxidized N, and the annual deposition rate (47 kg N ha −1 ) was much higher than previously reported values for other parts of the world such as the UK (13 kg N ha −1 ), Poland (7.3 kg N ha −1 ) and EU27 (8.6 kg N ha −1 ). The exported N component (1981 Gg) was much higher than the imported N component (584 Gg), suggesting that the NCP is an important net emission source of N pollutants. Contributions of N deposition budgets from the seven provinces in this region were proportional to their area ratios. The calculated spatial distributions of N deposition displayed high rates of reduced N deposition in the south and of oxidized N deposition in the eastern part. The N deposition exceeded an upper limit of 30 kg N ha −1 for natural ecosystems over more than 90 % of the region, resulting in terrestrial ecosystem deterioration, impaired air quality and coastal eutrophication not only in the NCP itself but also in surrounding areas including the Bohai Sea and the Yellow Sea.

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Section: Comparison Between Modeling Results and Observationssupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Simulation of nitrogen deposition in the North China Plain by the FRAME model

et al. 2011

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“…After we overlaid county boundaries, the annual precipitation was aggregated to the county scale by using the ARCGIS software. According to the monitoring results in North China presented by Zhang et al (2008), the mean volumeweighted bulk N concentrations in precipitation were 3.9 mg/L (2.1-5.9 mg/L) in the 1990s and 5.4 mg/L (2.2-7.5 mg/L) between 2000 and 2010.…”

Section: Atmospheric Bulk (Wet/dry) Deposition (N Atmospheric ) Thementioning

confidence: 99%

Changes in nitrogen budget and potential risk to the environment over 20years (1990–2010) in the agroecosystems of the Haihe Basin, China

Zheng

Ying-xia

et al. 2015

Journal of Environmental Sciences

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The nitrogen balance can serve as an indicator of the risk to the environment of nitrogen loss from agricultural land. To investigate the temporal and spatial changes in agricultural nitrogen application and its potential threat to the environment of the Haihe Basin in China, we used a database of county-level agricultural statistics to calculate agricultural nitrogen input, output, surplus intensity, and use efficiency. Chemical fertilizer nitrogen input increased by 51.7% from partly due to fertilizer composition and type improvement. This level indicates that more than half of nitrogen inputs are lost in agroecosystems. Our results suggest that although the improvement in fertilizer composition and types has partially offset the decrease in nitrogen use efficiency, the environmental risk has still increased gradually over the past 20 years, along with the increase in crop yields and nitrogen application. It is important to achieve a better nitrogen balance through more effective management to significantly reduce the environmental risk, decrease nitrogen surplus intensity, and increase nitrogen use efficiency without sacrificing crop yields.

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“…Different literature sources were used to estimate the average N-uptake by harvested crop and the amount of nitrogen in remaining stubbles and stems (Liu et al, 2003;Vitousek et al, 2009;Zhao et al, 2006). Wet deposition was calculated based on literature values for nitrogen concentrations in precipitation in the BYD catchment (Zhang et al, 2008), actual amount of rainfall during the study period, and the amount of nitrogen input from irrigation with the RW. Volatilization was estimated based on a study on ammonia volatilization from urea application , and under consideration that not only urea, but also other fertilizers were applied at our site (which are less prone to volatilization).…”

Section: Conceptual Model Future Trends and Monitoringmentioning

confidence: 99%

Field scale interaction and nutrient exchange between surface water and shallow groundwater in the Baiyang Lake region, North China Plain

Brauns

Bjerg

Song

et al. 2016

Journal of Environmental Sciences

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Fertilizer input for agricultural food production, as well as the discharge of domestic and industrial water pollutants, increases pressures on locally scarce and vulnerable water resources in the North China Plain. In order to: (a) understand pollutant exchange between surface water and groundwater, (b) quantify nutrient loadings, and (c) identify major nutrient removal pathways by using qualitative and quantitative methods, including the geochemical model PHREEQC) a one-year study at a wheat (Triticum aestivum L.) and maize (Zea mays L.) double cropping system in the Baiyang Lake area in Hebei Province, China, was undertaken. The study showed a high influence of low-quality surface water on the shallow aquifer. Major inflowing pollutants into the aquifer were ammonium and nitrate via inflow from the adjacent Fu River (up to 29.8 mg/L NH 4 -N and 6.8 mg/L NO 3 -N), as well as nitrate via vertical transport from the field surface (up to 134.8 mg/L NO 3 -N in soil water). Results from a conceptual model show an excess nitrogen input of about 320 kg/ha/a. Nevertheless, both nitrogen species were only detected at low concentrations in shallow groundwater, averaging at 3.6 mg/L NH 4 -N and 1.8 mg/L NO 3 -N. Measurement results supported by PHREEQC-modeling indicated cation exchange, denitrification, and anaerobic ammonium oxidation coupled with partial denitrification as major nitrogen removal pathways. Despite the current removal capacity, the excessive nitrogen fertilization may pose a future threat to groundwater quality. Surface water quality improvements are therefore recommended in conjunction with simultaneous monitoring of nitrate in the aquifer, and reduced agricultural N-inputs should be considered.

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Nitrogen inputs and isotopes in precipitation in the North China Plain

Cited by 173 publications

References 41 publications

Simulation of nitrogen deposition in the North China Plain by the FRAME model

Simulation of nitrogen deposition in the North China Plain by the FRAME model

Changes in nitrogen budget and potential risk to the environment over 20years (1990–2010) in the agroecosystems of the Haihe Basin, China

Field scale interaction and nutrient exchange between surface water and shallow groundwater in the Baiyang Lake region, North China Plain

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