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
Runoff and Sediment Yield Modeling and Soil Erosion Analysis in Daning River Watershed in Three Gorges Reservoir Region Based on SWAT Model
查看参考文献22篇
|
文摘
|
为研究三峡库区大宁河流域土壤侵蚀的状况和特点,应用SWAT模型对大宁河流域进行了产流产沙模拟,并基于SWATCUP工具中的SUFI-2方法对模型进行了参数敏感性分析、校正、验证和不确定性分析(2008—2010年为校正期,2011—2013年为验证期),进而分析了流域内土壤侵蚀状况和不同土地利用、土壤类型和坡度对土壤侵蚀的影响,并提出了土壤流失超标区域防治措施。结果表明:(1)校正后的SWAT模型在大宁河流域产流模拟中,校正期和验证期的p-factor值分别为0.89和0.75,r-factor值分别为0.75和0.69,R~2分别为0.92和0.91,NS分别为0.87和0.91;在产沙模拟中,校正期和验证期的p-factor值分别为0.90和0.95,r-factor值分别为1.04和1.05,R~2分别为0.77和0.75,NS分别为0.74和0.72。构建的SWAT模型适合大宁河流域产流产沙模拟和土壤侵蚀状况研究,且不确定性满足要求。(2)整个大宁河流域2008—2013年的平均侵蚀模数为468.88 t/(km~2?a),总体土壤侵蚀强度属于微度,但在局部子流域(1,2,3,4,22)的土壤侵蚀强度属于轻度,超过了流域土壤流失容许量500 t/(km~2?a),其面积占整个流域的37.44%。(3)导致轻度土壤侵蚀区域土壤流失超标的因子包括土地利用类型中的耕地和草地、土壤类型中的深色淋溶土和饱和黏磐土以及坡度>25°的耕地和草地,其中饱和黏磐土所占面积过多可能是导致轻度侵蚀区域土壤流失超标的最主要原因。建议在轻度土壤侵蚀区域,对饱和黏磐土、坡度 >25°的耕地和草地进行一定比例的退耕还林和退草还林。 |
|
其他语种文摘
|
To analyze the soil erosion status and characteristics of Daning River basin in Three Gorges Reservoir Region,this study firstly applied SWAT to create a model to simulate runoff and sediment yield,in which the calibration period is from 2008 to 2010 and validation period is from 2011 to 2013.The parameter sensitivity, calibration,validation and uncertainty analysis of the model were further conducted through the use of SWATCUP and SUFI-2.Afterwards,the calibrated model was used to analyze the status of soil erosion and explore the influence of different land use,soil type and slope gradient on soil erosion.Finally,a suggestion to prevent and control soil loss was put forward.The results indicated that:(1)In the runoff simulation in Daning River watershed by using the calibrated SWAT model,during the calibration and validation period, the p-factor values were 0.89 and 0.75,the r-factor values were 0.75 and 0.69,R~2 values were 0.92 and 0.91,and NS values were 0.87 and 0.91,respectively.While in the sediment simulation,the p-factor values were 0.90 and 0.95,the r-factor values were 1.04 and 1.05,R~2 values were 0.77 and 0.75,and NS values were 0.74 and 0.72,respectively.The constructed SWAT model could be successfully used for simulation in Daning River watershed and uncertainty of the model could meet the requirements.Furthermore,the model could be used to analyze soil erosion status of Daning River watershed.(2)The average erosion modulus of the whole basin was 468.88 t/(km~2?a),which indicated the micro-erosion of soil.The overall status of Daning River watershed was good.However,the average erosion modulus of local regions of the watershed (1,2,3,4,22)exceeded the soil loss tolerance,500 t/(km~2?a),and the soil erosion intensity of these regions was mild.The total area of these local regions accounted for 37.44%of the whole river basin.(3)The factors resulting in the local regions exceeding soil loss tolerance based on average erosion modulus included AGRL,PAST,eutric planosols,Chromic Luvisols,and slope gradient>25°.Among them,the proportion of the area covered by eutric planosols in mild soil erosion region was too large,which may be the main reason resulting in the average erosion modulus of mild soil erosion region exceeding the soil loss tolerance. To prevent and control soil loss in mild soil erosion region,it is suggested that a certain percentage of AGRL (agricultural land)and PAST (pasture land)covered by eutric planosols with larger than >25°of slope gradient should be gradually returned to FRST(forest land). |
|
来源
|
水土保持学报
,2016,30(4):49-56 【核心库】
|
|
DOI
|
10.13870/j.cnki.stbcxb.2016.04.009
|
|
关键词
|
大宁河流域
;
SWAT
;
SWATCUP
;
SUFI-2算法
;
不确定性分析
;
土壤侵蚀
;
饱和黏磐土
|
|
地址
|
中国科学院生态环境研究中心, 环境水质学国家重点实验室, 北京, 100085
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1009-2242 |
|
学科
|
农业基础科学 |
|
基金
|
国家自然科学基金项目
|
|
文献收藏号
|
CSCD:5776186
|
参考文献 共
22
共2页
|
|
1.
肖军仓. 基于SWAT模型的抚河流域土壤侵蚀模拟.
水土保持研究,2013,20(1):14-18,24
|
被引
7
次
|
|
|
|
|
2.
刘世梁. 基于SWAT模型的澜沧江中游小流域水土流失与NDVI时空动态相关性.
水土保持学报,2013,30(1):62-67
|
被引
1
次
|
|
|
|
|
3.
Wu Y P. Modeling of soil erosion and sediment transport in the East River Basin in southern China.
Science of the Total Environment,2012,441(20):159-168
|
被引
3
次
|
|
|
|
|
4.
Hassen M. Modeling of sediment yield in Maybar gauged watershed using SWAT northeast Ethiopia.
Catena,2015,127(4):191-205
|
被引
6
次
|
|
|
|
|
5.
范丽丽. 基于SWAT模型的大宁河流域非点源污染空间特性研究.
水土保持通报,2008,28(4):133-137
|
被引
20
次
|
|
|
|
|
6.
丁京涛. 基于SWAT模型的大宁河流域污染物负荷分布特性分析.
环境工程学报,2009,3(12):2153-2158
|
被引
7
次
|
|
|
|
|
7.
花利忠. 基于AnnAGNPS模型的大宁河流域泥沙输移比评价.
水土保持通报,2009,29(3):154-158
|
被引
5
次
|
|
|
|
|
8.
冯家兄. 论巫溪县大宁河流域气候地域特征.
环球人文地理,2014(16):33
|
被引
2
次
|
|
|
|
|
9.
车振海. 试论土壤渗透系数的经验公式和曲线图.
东北水利水电,1995(9):17-19
|
被引
9
次
|
|
|
|
|
10.
Neitsch S L.
Soil and water assessment tool theoretical documentation version 2009,2011:251-266
|
被引
1
次
|
|
|
|
|
11.
Dile Y T. Evaluation of CFSR climate data for hydrologic prediction in Data-Scarce watersheds:An application in the Blue Nile River Basin.
Journal of the American Water Resources Association,2014,50(5):1226-1241
|
被引
7
次
|
|
|
|
|
12.
Daniel R F. Using the climate forecast system reanalysis as weather input data for watershed models.
Hydrological Processes,2014,28(22):5613-5623
|
被引
1
次
|
|
|
|
|
13.
Karim C.
SWAT-CUP:SWAT calibration and uncertainty programs:A user manual,2015:12-18
|
被引
1
次
|
|
|
|
|
14.
Nash J E. River flow forecasting through conceptual models part I:A discussion of principles.
Journal of Hydrology,1970,10(3):282-290
|
被引
642
次
|
|
|
|
|
15.
Michael W. Suitability of SWAT for the conservation effects assessment project:Comparison on USDA Agricultural Research Service Watersheds.
Journal of Hydrological Engineering,2007,12(2):173-189
|
被引
1
次
|
|
|
|
|
16.
吕乐婷. 基于SWAT模型的东江流域径流模拟.
自然资源学报,2014,29(10):1746-1757
|
被引
22
次
|
|
|
|
|
17.
Moriasi D N. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.
Transactions of the ASABE,2007,50(3):885-900
|
被引
357
次
|
|
|
|
|
18.
.
SL190-2007,土壤侵蚀分类分级标准,1997
|
被引
1
次
|
|
|
|
|
19.
许其功. 三峡库区大宁河流域非点源污染研究.
环境工程学报,2008,2(3):299-303
|
被引
13
次
|
|
|
|
|
20.
杨军军. 湟水流域SWAT模型构建及参数不确定性分析.
水土保持研究,2013,20(1):82-88,93
|
被引
22
次
|
|
|
|
|
了解气象卫星更多信息，请访问