基于Hydrus-1D模型的太湖流域农田系统水分渗漏和氮磷淋失特征分析

doi:10.11870/cjlyzyyhj201509008

长江流域资源与环境 >> 2015, Vol. 24 >> Issue (09): 1491-1498.doi: 10.11870/cjlyzyyhj201509008

基于Hydrus-1D模型的太湖流域农田系统水分渗漏和氮磷淋失特征分析

赖晓明^1,2, 廖凯华¹, 朱青¹, 吕立刚^1,3, 徐飞^1,2

1. 中国科学院南京地理与湖泊研究所, 流域地理学重点实验室, 江苏南京 210008;
2. 中国科学院大学, 北京 100049;
3. 南京大学地理与海洋科学学院, 江苏南京 210046

收稿日期:2014-12-17 修回日期:2015-03-24 出版日期:2015-09-20
作者简介:赖晓明(1990~),男,硕士,主要从事土壤水盐迁移研究.E-mail:1270754381@qq.com
基金资助:
江苏省自然科学基金(BK2012502);中国科学院南京地理与湖泊研究所"一三五"重点项目(NIGLAS2012135005)

Feature analysis of soil water leakage and leaching of nitrogen and phosphorus in the typical farmland of taihu lake basin based on hydrus-1d model

LAI Xiao-ming^1,2, LIAO Kai-hua¹, ZHU Qing¹, LV Li-gang^1,3, XU Fei^1,2

1. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
2. University of Chinese academy of sciences, Beijing 100049, China;
3. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210046, China

Received:2014-12-17 Revised:2015-03-24 Online:2015-09-20
Contact: 朱青,E-mail:qzhu@niglas.ac.cn E-mail:qzhu@niglas.ac.cn

摘要/Abstract

摘要： 在土壤水分长期定位观测基础上,应用Hydrus-1D模型对太湖流域典型稻麦轮作农田土壤水分渗漏进行动态模拟,并结合深层土壤溶液取样及氮磷浓度测定,分析了当前耕作方式下农田水分渗漏和氮磷淋失特征。结果表明,土壤水渗漏与降雨、灌溉及前期土壤含水率有关;麦季深层渗漏量小但持续时间长,而稻季单次渗漏量大却持续时间短。模拟时段内铵态氮和可溶解性总磷的淋失主要发生在稻季,淋失量分别为2.62、0.49 kg/hm²,分别占稻麦轮作期总淋失量的96.0%、96.0%,而硝态氮淋失主要发生在麦季,淋失量为57.97 kg/hm²,占总淋失量的80.2%;无机氮淋失的主要形态为硝态氮,其淋失量占总淋失量的96.4%。综合看来,硝态氮应作为主要阻控对象,以减少农田面源污染对地下水及太湖水体的污染风险。此外,氮磷淋失在6、7月份即休耕期和水稻生长早期容易达到峰值,应得到重视。

关键词: 土壤水分, 稻麦轮作, 富营养化, 氮磷淋失

Abstract: Taihu Lake Basin is one of the most serious polluted areas in China, while the eutrophication is the main environmental problem, which is mainly caused by the agricultural non-point source pollution as commonly considered. Therefore, an in-depth study of the agricultural leaching of nitrogen and phosphorus under rice-wheat rotation in Taihu Lake Basin is necessary. In order to get the data of leaching nitrogen and phosphorus, the concentration of the nitrogen and phosphorus in soil water sample should be tested and the leakage of soil water should be acquired. Traditional methods on that have many limitations in practical applications and generally the time-continuous leaching of nitrogen and phosphorus can't be obtained. While in this study, based on long-term measurement of soil water content, the farmland soil water leakage under rice-wheat rotation was simulated using the Hydrus-1D model. Combining simulation results and measurements of soil water nitrogen and phosphorus concentrations at the depth of 60 cm, the leaching of nitrogen and phosphorus were obtained. Comparing to the traditional methods, this method can calculate the data of the leaching of nitrogen and phosphorus by less measurement data. Results showed that the Hyrus-1D model can well simulate the leakage of soil water in the farmlands of Taihu Lake Basin. The soil water leakage was influenced by precipitation, irrigation and antecedent soil water content. The leakage amount was little and the time of duration was long during wheat growing season; while during rice growing season, the leakage amount was large and the time of duration was short. The leaching of ammonium nitrogen and dissolved phosphorus mainly occur during the rice growing season. The leaching of ammonium nitrogen during this period (2.62 kg/hm²) accounted for 96.0% of the total leaching during the whole study period. The leaching of dissolved phosphorus (0.49 kg/hm²) accounted for 96.0% of the total leaching. However, the leaching of nitrate nitrogen mainly occurred during the wheat growing season. The leaching during this season (57.97 kg/hm²) accounted for 89.5% of the total leaching during the whole study period. The main form of inorganic nitrogen leaching from soil was nitrate nitrogen, which accounted for 96.4% of the total inorganic nitrogen leaching. In conclusion, the nitrate nitrogen should be the key control targets in preventing agricultural non-point source pollution, to reduce the risk of agricultural non-point source pollution contaminating the quality of the groundwater and Taihu Lake water body. Besides, the peak leaching time of nitrogen and phosphorus is during fallow period and at the early stage of the growth of paddy (June and July), due to the unstable soil and undeveloped roots in field and frequent rainfall during these periods.

Key words: soil water content, eutrophication, rice-wheat rotation, nitrogen and phosphorus leaching

中图分类号:

X171

赖晓明, 廖凯华, 朱青, 吕立刚, 徐飞. 基于Hydrus-1D模型的太湖流域农田系统水分渗漏和氮磷淋失特征分析[J]. 长江流域资源与环境, 2015, 24(09): 1491-1498.

LAI Xiao-ming, LIAO Kai-hua, ZHU Qing, LV Li-gang, XU Fei. Feature analysis of soil water leakage and leaching of nitrogen and phosphorus in the typical farmland of taihu lake basin based on hydrus-1d model[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1491-1498.

参考文献

[1] 夏立忠,杨林章.太湖流域非点源污染研究与控制[J].长江流域资源与环境,2003,12(1):45-49.
[2] 俞映倞,薛利红,杨林章.不同氮肥管理模式对太湖流域稻田土壤氮素渗漏的影响[J].土壤学报,2011,48(5):988-995.
[3] 黄明蔚,刘敏,陆毅,等.稻麦轮作农田系统中氮素渗漏流失的研究[J].环境科学学报,2007,27(4):629-636.
[4] 张玉珍.农田不同土地利用氮素渗漏量的研究[J].福州大学学报(自然科学版),2006,34(4):620-624.
[5] 廖凯华,徐绍辉,程桂福,等.产芝水库灌区农田水分转化及节水灌溉模式分析[J].农业工程学报,2010,26(5):45-51.
[6] 马欢,杨大文,雷慧闽,等.Hydrus-1D模型在田间水循环规律分析中的应用及改进[J].农业工程学报,2011,27(3):6-12.
[7] LETERME B, MALLANTS D, JACQUES D. Estimation of future groundwater recharge using climatic analogues and Hydrus-1D [J]. Hydrology and Earth System Sciences Discussions, 2012, 9(1): 1389-1410.
[8] 高海鹰,黄丽江,张奇,等.不同降雨强度对农田土壤氮素淋失的影响及LEACHM模型验证[J].农业环境科学学报,2008,27(4):1346-1352.
[9] 李虎,王立刚,邱建军.基于DNDC模型的华北典型农田氮素损失分析及综合调控途径[J].中国生态农业学报,2012,20(4):414-421.
[10] 雷志栋,杨诗秀,谢森传.土壤水动力学[M].北京:清华大学出版社,1988.
[11] VAN GENUCHTEN M TH. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils[J]. Soil Science Society of America Journal, 1980, 44(5): 892-898.
[12] FEDDES R A, KOWALIK P J, ZARADNY H. Simulation of field water use and crop yield [M]. New York, NY: John Wiley and Sons, 1978.
[13] VAN GENUCHTEN M TH. A numerical model for water and solute movement in and below the root zone[R]. Res Rep 121, USDA-ARS, U S Salinity Lab, Riverside, CA, 1987.
[14] HOFFMAN G J, VAN GENUCHTEN M TH. Soil properties and efficient water use: Water management for salinity control[C]//TAYLOR H M, JORDAN W R, SINCLAIR T R, eds. Limitations and Efficient Water Use in Crop Production, Am. Soc. of Agron., Madison, WI, 1983: 73-85.
[15] 黄昌勇,徐建明.土壤学[M].第三版.北京:中国农业出版社,2010.
[16] NASH J E, SUTCLIFFE J V. River flow forecasting through conceptual models part I-A discussion of principles [J]. Journal of Hydrology, 1970, 10(3): 282-290.
[17] 李谦,郑锦森,朱青,等.太湖流域典型土地利用类型土壤水分对降雨的响应[J].水土保持学报,2014,28(1):6-11.
[18] 肖靖,李莉.农田土壤氮素流失研究[J].绿色科技,2014(2):40-42.
[19] 朱兆良,张福锁.主要农田生态系统氮素行为与氮肥高效利用的基础研究[M].北京:科学出版社,2010.
[20] 王德建,林静慧,夏立忠.太湖地区稻麦轮作农田氮素淋洗特点[J].中国生态农业学报,2001,9(1):16-18.
[21] 李勇,杨林章,殷广德.太湖地区直播稻田氮素渗漏损失试验研究[J].植物营养与肥料学报,2010,16(1):99-104.
[22] VAN DER MOLEN D T, BREEUWSMA A, BOERS P C M. Agricultural nutrient losses to surface water in the Netherlands: impact, strategies, and perspectives [J]. Journal of Environmental Quality, 1998, 27: 4-11.

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