Impact of climate change on the variation of nitrogen and phosphorus fluxes at watershed scale: a case study in watersheds of Yan’an City
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摘要: 采用外源污染物负荷模型和流域氮、磷通量核算模型,结合流域土地利用和气象数据,在延安市4条河流流域建立了流域氮、磷负荷经验模型,分析流域氮、磷通量与净人为氮、磷输入量,降水量,土地利用类型等因子之间的响应关系。结果表明:净人为氮、磷输入量,降水量和土地利用类型变化是氮、磷通量变化的主要原因,其中降水量可以分别解释流域氮、磷通量变化的25.67%和18.29%,降水量的增加会显著增加氮、磷通量;利用区域气候模式数据模拟了近期和远期不同发展情景下流域氮、磷通量的变化情况,在气候变化的驱动下,即使净人为氮、磷输入量和土地利用类型保持现状不变,氮、磷通量在远期预测中仍会呈增加趋势,林地面积的增加可以在一定程度上减缓降水对氮、磷通量的影响。气候变化和人类活动均会对流域氮、磷通量产生影响,在制定流域氮、磷削减方案时,需要考虑气候变化对方案效果的影响。Abstract: The external pollutant loading model and the nitrogen and phosphorus fluxes model, combining land use pattern and meteorological data, were used to established an empirical model of nitrogen and phosphorus loading in four river watersheds of Yan’an City, for analyzing the response relation of the fluxes of nitrogen and phosphorus on net anthropogenic nitrogen and phosphorus input, precipitation, land use pattern and other factors. According to the results, the net anthropogenic nitrogen and phosphorus input, precipitation and land use pattern were the main causes for the change of the nitrogen and phosphorus fluxes. Precipitation could respectively explain 25.67% and 18.29% of the nitrogen and phosphorus fluxes variation, and the increasing precipitation will significantly increase the nitrogen and phosphorus fluxes. A meteorological dataset from regional climate models was used to simulate the short-term and long-term variation of nitrogen and phosphorus fluxes under different development scenarios, and the results showed that driven by the change of climate, even if the net anthropogenic nitrogen and phosphorus loading and the land use pattern remained unchanged, the future nitrogen and phosphorus fluxes would still increase in the long-term prediction. The increasing of forest land could mitigate a certain extent of the influence of precipitation on nitrogen and phosphorus fluxes. These results indicated that climate change as well as anthropogenic activities could affect the nitrogen and phosphorus fluxes, and the impact of climate change on the effectiveness of nitrogen and phosphorus reduction programs should be considered while formulating the nitrogen and phosphorus reduction programs.
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Key words:
- nitrogen fluxes /
- phosphorus fluxes /
- climate change /
- precipitation /
- non-point source pollution
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[1] HUO S L, MA C Z, XI B D, et al. Development of methods for establishing nutrient criteria in lakes and reservoirs:a review[J]. Journal of Environmental Sciences, 2018,67(5):54-66. [2] JANSSEN A B G, de JAGER V C L, JANSE J H, et al. Spatial identification of critical nutrient loads of large shallow lakes:implications for Lake Taihu(China)[J]. Water Research, 2017,119:276-287.
pmid: 28477543[3] FEZZI C, HARWOOD A R, LOVETT A A, et al. The environmental impact of climate change adaptation on land use and water quality[J]. Nature Climate Change, 2015(5):255-260. [4] JEZNACH L C, HAGEMANN M, PARK M H, et al. Proactive modeling of water quality impacts of extreme precipitation events in a drinking water reservoir[J]. Journal of Environmental Management, 2017,201:241-251.
doi: 10.1016/j.jenvman.2017.06.047 pmid: 28667842[5] HAGEMANN M. Predictive modeling of riverine constituent concentrations and loads using historic and imposed hydrologic conditions[M]. Massachusetts:Department of Civil and Environmental Engineering,University of Massachusetts, 2016. [6] SCAVIA D, DAVID A J, AREND K K, et al. Assessing and addressing the re-eutrophication of Lake Erie:central basin hypoxia[J]. Journal of Great Lakes Research, 2014,40:226-246. [7] DIAZ R J, ROSENBERG R. Spreading dead zones and consequences for marine ecosystems[J]. Science, 2008,321:926-929.
pmid: 18703733[8] HUO S L, HE Z S, MA C Z, et al. Spatio-temporal impacts of meteorological and geographic factors on the availability of nitrogen and phosphorus to algae in Chinese lakes[J]. Journal of Hydrology, 2019,572:380-387. [9] HAVENS K E, PAERL H W. Climate change at a crossroad for control of harmful algal blooms[J]. Environmental Science & Technology, 2015,49:12605-12606.
doi: 10.1021/acs.est.5b03990 pmid: 26465060[10] HONG B, SWANEY D P, MRTH C M, et al. Evaluating regional variation of net anthropogenic nitrogen and phosphorus inputs(NANI/NAPI),major drivers,nutrient retention pattern and management implications in the multinational areas of Baltic Sea Basin[J]. Ecological Modelling, 2012,227:117-135. [11] DEL-GIUDICE D, ZHOU Y, SINHA E, et al. Long-term phosphorus loading and springtime temperatures explain interannual variability of hypoxia in a large temperate lake[J]. Environmental Science & Technology, 2018,52:2046-2054.
pmid: 29301072[12] SINHA E, MICHALAK A M. Precipitation dominates interannual variability of riverine nitrogen loading across the Continental United States[J]. Environmental Science & Technology, 2016,50:12874-12884.
doi: 10.1021/acs.est.6b04455 pmid: 27771946[13] HO J C, MICHALAK A M. Phytoplankton blooms in Lake Erie impacted by both long-term and springtime phosphorus loading[J]. Journal of Great Lakes Research, 2017,43:221-228. [14] ZHOU Y, MICHALAK A M, BLELTSKY D, et al. Record-breaking Lake Erie hypoxia during 2012 drought[J]. Environmental Science & Technology, 2015,49:800-807.
pmid: 25522015[15] DAVID M B, DRINKWATER L E, MCISAAC G F. Sources of nitrate yields in the Mississippi River Basin[J]. Journal of Environmental Quality, 2010,39:1657-1667.
doi: 10.2134/jeq2010.0115 pmid: 21043271[16] SHI Y, WANG G, GAO X. Role of resolution in regional climate change projections over China[J]. Climate Dynamics, 2018,51:2375-2396. [17] ZHOU B, XU Y, WU J, et al. Projected changes in haze pollution potential in China:an ensemble of regional climate model simulations[J]. Atmospheric Chemistry and Physics, 2017,17:10109-10123.
doi: 10.5194/acp-17-10109-2017[18] 张冬峰, 韩振宇, 石英. CSIRO-Mk3.6.0模式及其驱动下RegCM4.4模式对中国气候变化的预估[J]. 气候变化研究进展, 2017,13(6):557-568.ZHANG D F, HAN Z Y, SHI Y. Comparison of climate projection between the driving CSIRO-Mk3.6.0 and the downscaling simulation of RegCM4.4 over China[J]. Climate Change Research, 2017,13(6):557-568. [19] VUUREN D P V, EDMONDS J, KAINUMA M, et al. The representative concentration pathways:an overview[J]. Climatic Change, 2011,109(1/2):5-31.
doi: 10.1007/s10584-011-0148-z[20] SINHA E, MICHALAK A M, CALVIN K V, et al. Societal decisions about climate mitigation will have dramatic impacts on eutrophication in the 21st century[J]. Nature Communications, 2019(10):939. [21] TI C P, PAN J J, XIA Y Q, et al. A nitrogen budget of mainland China with spatial and temporal variation[J]. Biogeochemistry, 2012,108:381-394.
doi: 10.1007/s10533-011-9606-y[22] OBOUR A K, SILVERIA M L, VENDRAMINI J M B. A phosphorus budget for bahiagrass pastures growing on a typical florida spodosol[J]. Agronomy Journal, 2011,103:611-616.
doi: 10.2134/agronj2010.0372[23] HAN Y, FAN Y, YANG P, et al. Net anthropogenic nitrogen inputs(NANI) index application in Mainland China[J]. Geoderma, 2014,213:87-94.
doi: 10.1016/j.geoderma.2013.07.019[24] HAN Y, YU X, WANG X, et al. Net anthropogenic phosphorus inputs(NAPI) index application in Mainland China[J]. Chemosphere, 2013,90:329-337.
doi: 10.1016/j.chemosphere.2012.07.023[25] SPRAGUE L A, HIRSCH R M, AULENBACH B T. Nitrate in the Mississippi River and its tributaries,1980 to 2008:are we making progress[J]. Environmental Science & Technology, 2011,45:7209-7216.
doi: 10.1021/es201221s pmid: 21823673[26] HIRSCH R M, MOYER D L, ARCHFIELD S A. Weighted regressions on time,discharge,and season(WRTDS),with an application to chesapeake bay river inputs[J]. Journal of the American Water Resources Association, 2010,46:857-880.
doi: 10.1111/j.1752-1688.2010.00482.x pmid: 22457569[27] 李二辉, 穆兴民, 赵广举. 1919—2010年黄河上中游区径流量变化分析[J]. 水科学进展, 2014,25(2):155-163.LI E H, MU X M, ZHAO G J. Temporal changes in annual runoff and influential factors in the upper and middle reaches of Yellow River from 1919-2010[J]. Advances in Water Science, 2014,25(2):155-163. [28] 张元星. 流域水沙变化对水土保持梯田措施的响应研究[D]. 杨凌:西北农林科技大学, 2014. [29] WANG S, FU B, PIAO S, et al. Reduced sediment transport in the Yellow River due to anthropogenic changes[J]. Nature Geoscience, 2015(9):38-41. [30] LI Z, LIU W Z, ZHANG X C, et al. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China[J]. Journal of Hydrology, 2009,377:35-42.
doi: 10.1016/j.jhydrol.2009.08.007[31] 赵跃中, 穆兴民, 严宝文, 等. 延河流域植被恢复对径流泥沙的影响[J]. 泥沙研究, 2014(4):67-73.ZHAO Y Z, MU X M, YAN B W, et al. Influence of vegetation restoration on runoff and sediment of Yanhe Basin[J]. Journal of Sediment Research, 2014(4):67-73. [32] MCISAAC G F, DAVID M B, GERTNER G Z. Illinois river nitrate-nitrogen concentrationsand loads:long-term variation and association with watershed nitrogen inputs[J]. Journal of Environmental Quality, 2016,45(4):1268-1275.
doi: 10.2134/jeq2015.10.0531 pmid: 27380075[33] HONG B, SWANEY D P, HOWARTH R W. 30-A toolbox for calculating net anthropogenic nitrogen inputs(NANI)[J]. Environmental Modelling & Software, 2011,26:623-633.
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