岩溶地下河在SWAT中的概化方法——以毕节倒天河流域为例

张程鹏; 张凤娥; 耿新新; 冀俊杰; 陈永康

doi:10.11932/karst20200503

岩溶地下河在SWAT中的概化方法——以毕节倒天河流域为例

doi: 10.11932/karst20200503

1.
中国地质科学院水文地质环境地质研究所
2.
中国地质科学院水文地质环境地质研究所/自然资源部地下水科学与工程重点实验室
3.
贵州省毕节市水文水资源局

基金项目: 国家”十三五“重点研发计划课题（喀斯特高原山地石漠化综合治理与混农林业复合经营技术与示范，2016YFC0502601）；中央级公益性科研院所中国地质科学院基本科研业务项目（西南典型地区岩溶旱涝成因与防治对策，YYWF201728）

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出版历程
- 发布日期: 2020-10-25

Generalization method of karst underground river in SWAT：An example of the Daotian river watershed in Bijie, Guizhou

1.
Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences
2.
Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences/Key Laboratory of Groundwater Science andEngineering, Ministry of Natural Resources
3.
Hydrology andWater Resources Bureauof Bijie

摘要

摘要: 岩溶地下河的存在严重影响了土壤和水评估工具（SWAT）在岩溶地区的普遍适用性。针对岩溶地下河在SWAT中的概化问题，提出基于数字高程模型（DEM）预处理结合SWAT流域自动识别功能的方法，将岩溶地下河暴露于地表，把岩溶区复杂的地表－地下二元结构简化为地表一元结构，并以贵州毕节地下河发育的倒天河流域为例进行应用。结果表明：① 对比未经概化地下河建立的模型，概化地下河建立的模型识别流域面积增大30.73%，子流域个数增加29.27%，水文响应单元（HRU）个数增加43.82%；② 参数取最大物理意义范围时，未经概化地下河建立的模型p因子=0.64，不满足建模条件，物理模型本身存在问题；③ 概化地下河建立的模型月步长模拟结果：校准期R2=0.96，NS=0.96，验证期R2=0.94，NS=0.93，月尺度模拟效果非常好。岩溶地下河概化方法使SWAT在流域划分方面更加合理，搭建的模型模拟更加合理。该研究拓展了SWAT模型在岩溶区的应用。
- 岩溶流域 /
- 地下河 /
- 概化 /
- 水文模型 /
- SWAT
Abstract: The existence of karst underground rivers seriously affect the general applicability of Soil and Water Assessment Tools (SWAT) in karst areas. To solve this problem, this paper proposes a method based on Digital Elevation Model (DEM) preprocessing combined with SWAT watershed automatic recognition function. It exposes the karst underground river to the surface, and simplifies the complex surface underground binary structure into a surface unitary structure. The application of this method is demonstrated by an example of the Daotian River watershed in Bijie, Guizhou Province. The results show that， (1) compared with the model established without generalization, the area of the basin identified by the model is increased by 30.73%, the number of subbasins increased by 29.27%, and the number of hydrological response units increased by 43.82%, respectively； (2)When the parameters are taken as the maximum range of physical significance, the p-factor of the model established without generalization is 0.64, showing a good SWAT model can not be established without using this method to generalize the underground river； (3) The SWAT model with the generalized underground river is used to perform simulation with a month step length. It yields calibration period R2 = 0.96, NS = 0.96, validation period R2 = 0.94, and NS= 0.93, indicating a good result. The generalization method of karst underground river makes SWAT both in watershed division and simulation more reasonable.
- karst basin, underground river, generalization /
- hydrologic model, SWAT /

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参考文献(14)

[1]	蒋忠诚，罗为群，童立强，等.21世纪西南岩溶石漠化演变特点及影响因素［J］.中国岩溶,2016,35(5): 461-468.
[2]	卢耀如，张凤娥，刘长礼，等.中国典型地区岩溶水资源及其生态水文特性［J］.地球学报,2006,27(5): 393-402.
[3]	白淑英，王莉，史建桥，等.基于SWAT模型的开都河流域径流模拟［J］.干旱区资源与环境,2013，27（9）： 79-84.
[4]	杨明德，谭明，梁虹.喀斯特流域水文地貌系统第一版［M］. 北京: 地质出版社, 1998.
[5]	任启伟.基于改进SWAT模型的西南岩溶流域水量评价方法研究［D］.北京: 中国地质大学,2006.
[6]	Baffaut C， Benson V W. Modeling Flow and Pollutant Transport in a Karst Watershed with SWAT［J］.Transactions of the ASABE，2009，52（2）: 469-479.
[7]	Amatya D M， Jha M， Edwards A E，et al. SWAT-Based Streamflow and Embayment Modeling of Karst-Affected Chapel Branch Watershed， South Carolina［J］.Transactions of the ASABE，2011，54（4）： 1311-1323.
[8]	Nikolaidis N P， Bouraoui F， Bidoglio G. Hydrologic and geochemical modeling of a karstic Mediterranean watershed［J］.Journal of Hydrology，2013，477（1）： 129-138.
[9]	Bakkiyalakshmi P， Stephen R W. Hydrologic Modeling of Flow through Sinkholes Located in Streambeds of Cane Run Stream， Kentucky［J］.Journal of Hydrologic Engineering，2014，20（5）.
[10]	Lai G Y， Yi S K， Liu W，et al. Non-point source pollution simulation in karst region based on modified SWAT Model-A case study in Henggang River Basin［J］.Hupo Kexue/Journal of Lake Sciences，2018，30（6）： 1560-1575.
[11]	https：//5b0988e595225.cdn.sohucs.com/images/20190916/bbc42 63784d8497fbcbe7106f2557cc6.jpeg.
[12]	Abbaspour K C， Johnson C A， Genuchten MTV. Estimating Uncertain Flow and Transport Parameters Using a Sequential Uncertainty Fitting Procedure［J］. Vadose Zone Journal， 2004. 3（4）： 1340-1352.
[13]	Abbaspour KC. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT［J］. Journal of Hydrology， 2007， 333（2-4）：413-430.
[14]	Abbaspour KC， Vaghefi S， Srinivasan R. A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment： A Review of Papers from the 2016 International SWAT Conference［J］. Water， 2017， 10（1）：6.