Export Characteristics of Nitrate-N and Its Dominant Factors in Typical Basins of the Three Gorges Reservoir Area

LI Le; MA Wei; GOU Mengmeng; WANG Na; LIU Changfu; XIAO Wenfa

doi:10.13870/j.cnki.stbcxb.2022.04.010

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Export Characteristics of Nitrate-N and Its Dominant Factors in Typical Basins of the Three Gorges Reservoir Area

更新时间：2025-03-12

- Export Characteristics of Nitrate-N and Its Dominant Factors in Typical Basins of the Three Gorges Reservoir Area
- Vol. 36, Issue 4, Pages: 74-84(2022)
- 作者机构：
  
  1. 中国林业科学研究院森林生态环境与自然保护研究所, 国家林业和草原局森林生态环境重点实验室,北京,100091
  2. 中国水利水电科学研究院水生态环境研究所,北京,100038
  3. 南京林业大学南方现代林业协同创新中心,南京,210037
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2022.04.010
  CLC： X131.2
- Published：2022
- 稿件说明：
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LI Le, MA Wei, GOU Mengmeng, et al. Export Characteristics of Nitrate-N and Its Dominant Factors in Typical Basins of the Three Gorges Reservoir Area[J]. 2022, 36(4): 74-84.
DOI：

LI Le, MA Wei, GOU Mengmeng, et al. Export Characteristics of Nitrate-N and Its Dominant Factors in Typical Basins of the Three Gorges Reservoir Area[J]. 2022, 36(4): 74-84. DOI： 10.13870/j.cnki.stbcxb.2022.04.010.

摘要

为研究流域硝态氮来源、输出特征及驱动因素，应用SWAT模型对三峡库区梅溪河和大宁河流域径流和硝态氮负荷进行模拟，进而解析流域水文过程及硝态氮来源，并基于随机森林模型量化了不同影响因素（气候、土地利用、土壤类型、地形）对径流和硝态氮负荷的影响程度。结果表明：（1）不同土地利用类型间硝态氮负荷差异显著，年负荷强度表现为园地（20.41 kg/hm2）>旱地（12.51 kg/hm2）>水田（10.31 kg/hm2）>建设用地（7.09 kg/hm2）>林地（0.62 kg/hm2）>草地（0.46 kg/hm2），旱地是梅溪河（80%）和大宁河流域（67%）硝态氮输出的主要来源；（2）梅溪河和大宁河流域基流系数分别为67%和62%，基流是硝态氮主要运移途径，分别贡献68%和60%的硝态氮输出；（3）径流分配和硝态氮输出具有明显季节变异性，旱季基流对2个流域径流和硝态氮的贡献均在70%以上，雨季地表径流输出的硝态氮分别占36%和42%；（4）降雨量是影响总径流的主要因素，土壤类型是影响地表径流和基流的主要因素；土地利用是影响不同径流途径硝态氮的主要因素，其次是土壤类型，二者相对重要性之和大于70%。综上，环境土地利用冲突是造成硝态氮流失的根本原因，源头控制仍是三峡库区面源污染防控的关键环节；在地表径流控制的基础上亟待纳入旱地和园地基流途径控制策略。

Abstract

In order to study the sources

export characteristics and influencing factors of nitrate-N

the SWAT model was implemented to simulate the runoff and nitrate-N loads in the Meixi River and Daning River basins in the Three Gorges Reservoir Area (TGRA). Then

the hydrological processes and sources of nitrate-N in the basins were analyzed. Based on the random forest model

the effects of different influencing factors (i.e.

climate

land use

soil type and topography) on runoff and nitrate-N loads were also quantified. The results showed that:(1) The nitrate-N load varied significantly among different land use types

and the annual load intensity followed the order of orchard (20.41 kg/hm2)>dryland (12.51 kg/hm2)>paddy field (10.31 kg/hm2)>construction land (7.09 kg/hm2)>forestland (0.62 kg/hm2)>grassland (0.46 kg/hm2). Dryland was found to be the main source of nitrate-N export in the Meixi River (80%) and Daning River basins (67%).(2) The base flow coefficient in the Meixi River and Daning River basins was 67% and 62%

respectively

and base flow was the main transport pathway of nitrate-N

contributing 68% and 60% of nitrate-N export in the two basins

respectively. (3) Runoff distribution and nitrate-N export had obvious seasonal variation

the base flow contributed above 70% to both runoff and nitrate-N in these two basins in the dry season

and surface runoff contributed 36% and 42% to nitrate-N export in the two basins in the rainy season

respectively. (4) Rainfall was the main factor affected total runoff

and soil type was the main factor affected surface runoff and base flow. Land use was the main factor affected nitrate-N in different runoff pathways

followed by soil type

and the sum of their relative importance was over 70%. In conclusion

environmental land use conflicts were the root cause of nitrate-N loss

and source control was still a key of non-point source pollution prevention and control in the TGRA. In addition to surface runoff control

it was urgent to incorporate dry land and orchard base flow pathway control strategies.

关键词

Keywords

references

Liang K, Jiang Y F, Qi J Y, et al. Characterizing the impacts of land use on nitrate load and water yield in an agricultural watershed in Atlantic Canada[J].Science of the Total Environment, 2020, 729:e138793.

Bowles T M, Atallah S S, Campbell E E, et al. Addressing agricultural nitrogen losses in a changing climate[J].Nature Sustainability, 2018, 1(8):399-408.

邓华, 高明, 龙翼, 等.石盘丘小流域不同土地利用方式下土壤氮磷流失形态及通量[J].环境科学, 2021, 42(1):251-262.

Shen Z Y, Chen L, Hong Q, et al. Assessment of nitrogen and phosphorus loads and causal factors from different land use and soil types in the Three Gorges Reservoir Area[J].Science of the Total Environment, 2013, 454:383-392.

Varanka S, Hjort J, Luoto M. Geomorphological factors predict water quality in boreal rivers[J].Earth Surface Processes and Landforms, 2015, 40(15):1989-1999.

Wu J H, Lu J. Spatial scale effects of landscape metrics on stream water quality and their seasonal changes[J].Water Research, 2021, 191:e116811.

何圣嘉, 吕军.流域基流氮磷流失的非点源污染定量研究[J].水土保持学报, 2017, 31(6):20-26.

He S J, Lu J. Contribution of baseflow nitrate export to non-point source pollution[J].Science China Earth Sciences, 2016, 59(10):1912-1929.

Fan B Q, Wang H Y, Zhai L M, et al. Leached phosphorus apportionment and future management strategies across the main soil areas and cropping system types in northern China[J].Science of the Total Environment, 2022, 805:e150441.

Pacheco F A L, Fernandes L F S. Environmental land use conflicts in catchments:A major cause of amplified nitrate in river water[J].Science of the Total Environment, 2016, 548:173-188.

Li L, Gou M M, Wang N, et al. Landscape configuration mediates hydrology and nonpoint source pollution under climate change and agricultural expansion[J].Ecological Indicators, 2021, 129:e107959.

李乐, 刘常富.三峡库区面源污染研究进展[J].生态科学, 2020, 39(2):215-226.

Zhu Y X, Chen L, Wei G Y, et al. Uncertainty assessment in baseflow nonpoint source pollution prediction:The impacts of hydrographic separation methods, data sources and baseflow period assumptions[J].Journal of Hydrology, 2019, 574:915-925.

袁江, 李瑞, 舒栋才, 等.基于SWAT模型的喀斯特流域产流特征对石漠化治理措施的响应[J].水土保持学报, 2021, 35(6):151-160.

刘伟, 安伟, 杨敏, 等.基于SWAT模型的三峡库区大宁河流域产流产沙模拟及土壤侵蚀研究[J].水土保持学报, 2016, 30(4):49-56.

石荧原.三峡区间流域非点源污染的精细化模拟研究[D].武汉:武汉大学, 2017.

李睿康, 李阳兵, 文雯, 等.典型流域土壤侵蚀演变的高程、坡度空间差异比较[J].水土保持学报, 2017, 31(5):99-107.

孟现勇, 师春香, 刘时银, 等.CMADS数据集及其在流域水文模型中的驱动作用:以黑河流域为例[J].人民珠江, 2016, 37(7):1-19.

齐德轩, 马巍, 党承华, 等.三峡水库支流库湾营养源解析及水体富营养化调控对策研究[J].中国水利水电科学研究院学报, 2021, 19(3):318-328.

Neitsch S L, Arnold J G, Kiniry J R, et al. Soil and water assessment tool theoretical documentation version 2009[R].Texas:Texas Water Resources Institute, 2011:1-647.

田扬, 肖桂荣.基于CMADS驱动下SWAT模型的敖江流域径流模拟[J].长江科学院院报, 2020, 37(11):27-32.

Moriasi D N, Arnold J G, Van Liew M W, et al. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations[J].Transactions of the ASABE, 2007, 50(3):885-900.

李文超, 雷秋良, 翟丽梅, 等.流域氮素主要输出途径及变化特征[J].环境科学, 2018, 39(12):5375-5382.

李宁, 汪丽娜.基于随机森林回归算法的用水总量影响因素解析:以广东省为例[J].华南师范大学学报(自然科学版), 2021, 53(1):78-84.

Wu L, Liu X, Chen J L, et al. Overcoming equifinality:Time-varying analysis of sensitivity and identifiability of SWAT runoff and sediment parameters in an arid and semiarid watershed[J/OL].Environmental Science and Pollution Research, 2022. https://doi.org/10.1007/s11356-022-18573-9.

贾海燕, 雷阿林, 雷俊山, 等.紫色土地区水文特征对硝态氮流失的影响研究[J].环境科学学报, 2006, 26(10):1658-1664.

熊子怡, 王子芳, 龙翼, 等.紫色土旱坡地氮流失通量对减肥配施秸秆的响应[J].环境科学, 2020, 41(4):1930-1940.

陈成龙, 高明, 木志坚, 等.三峡库区小流域不同土地利用类型"土壤-水体"氮磷含量特征及其相互关系[J].环境科学, 2017, 38(8):3254-3263.

李红颖, 王思楚, 高孟宁, 等.渗漏是三峡库区砂质土橘园氮磷流失的主要途径[J].土壤学报, 2021, 59(4):1078-1088.

朱波, 汪涛, 王建超, 等.三峡库区典型小流域非点源氮磷污染的来源与负荷[J].中国水土保持, 2010(10):34-36, 71.

Liang X Y, Li Y B. Spatiotemporal features of farmland scaling and the mechanisms that underlie these changes within the Three Gorges Reservoir Area[J].Journal of Geographical Sciences, 2019, 29(4):563-580.

王甜, 黄志霖, 曾立雄, 等.三峡库区柑橘园施肥量对土壤氮淋失及残留量的影响[J].环境科学, 2019, 40(3):1468-1474.

Gao J B, Wang S M, Li Z Q, et al. High nitrate accumulation in the vadose zone after land-use change from croplands to orchards[J].Environmental Science and Technology, 2021, 55(9):5782-5790.

Shen Z Y, Chen L, Chen T. Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method:A case study of SWAT model applied to Three Gorges Reservoir Region, China[J].Hydrology and Earth System Sciences, 2012, 16(1):121-132.

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