[1]BAI Ganggang,HOU Jingming,SHI Yupin,et al.Analysis of the Contribution Rates of Factors to Runoff in Hulu River Based on Support Vector Machine Regression[J].Research of Soil and Water Conservation,2020,27(02):112-117.
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Analysis of the Contribution Rates of Factors to Runoff in Hulu River Based on Support Vector Machine Regression
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 02
Page number:
112-117
Column:
Public date:
2020-03-30
- Title:
- Analysis of the Contribution Rates of Factors to Runoff in Hulu River Based on Support Vector Machine Regression
- CLC:
- P333
- DOI:
- -
- Abstract:
- In order to quantitatively study the effects of climate change and human activities on runoff changes in a watershed, the Hulu River Basin is selected as study area. The impacts of precipitation and human activities on the decreasing trend of runoff has been quantitatively analyzed by using accumulative anomaly, the double-accumulation curve method and support vector machine(SVM)regression methods based on the data from 1965 to 2015. The results show that SVM regression model is better than general linear regression model by comparing the coefficients of determination, thus this method is used to establish regression equation; without regard to the effect of evapotranspiration, the contributions of human activities were 80.44%, 76.12% and 86.98%,respectively, at the study periods of 1972—1985, 1986—1991 and 1992—2015 on the reference period of 1965—1971; the relationship between soil and water conservation measures and runoff in the watershed is established, and the project of returning farmland to forestland is identified as the main mode of human activity affecting runoff in this basin. This research can provide the guidance for the development of water resources in the basin and an optimization plan for soil and water conservation projects in the future.
- References:
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[1] 王彦君,王随继,苏腾.降水和人类活动对松花江径流量变化的贡献率[J].自然资源学报,2015,30(2):304-314.
[2] 郭爱军,畅建霞,黄强,等.渭河流域气候变化与人类活动对径流影响的定量分析[J].西北农林科技大学学报:自然科学版,2014,42(8):212-220.
[3] 王随继,闫云霞,颜明,等.皇甫川流域降水和人类活动对径流量变化的贡献率分析:累积量斜率变化率比较方法的提出及应用[J].地理学报,2012,67(3):388-397.
[4] 张建云,章四龙,王金星,等.近50年来中国六大流域年际径流变化趋势研究[J].水科学进展,2007,18(2):230-234.
[5] 董磊华,熊立华,于坤霞,等.气候变化与人类活动对水文影响的研究进展[J].水科学进展,2012,23(2):278-285.
[6] 聂中青,贾冰,丁贞玉,等.近50 a葫芦河流域气候变化特征[J].兰州大学学报:自然科学版,2009,45(2):7-11,19.
[7] 王淑红,张钰,王大超,等.1956—2016年渭河支流葫芦河流域径流及降水的年际变化特征[J].冰川冻土,2018,40(2):370-377.
[8] 魏国孝,杨佳丽,徐涛,等.甘肃葫芦河流域径流变化的SWAT模型模拟[J].兰州大学学报:自然科学版,2009,45(6):1-7.
[9] 孙悦,李栋梁.1975—2011年渭河上游径流演变规律及对气候驱动因子的响应[J].冰川冻土,2014,36(2):413-423.
[10] 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.
[11] 张学工.关于统计学习理论与支持向量机[J].自动化学报,2000,26(1):36-46.
[12] Kromer P, Musilek P, Pelikan E, et al. Support Vector Regression of multiple predictive models of downward short-wave radiation[C]∥2014 International Joint Conference on Neural Networks. New Jersey, USA: IEEE,2014.
[13] 黄辉,马思佳,王庆,等.多参数影响下污水总氮浓度预测最优方法研究[J].南京大学学报:自然科学版,2017,53(6):1194-1202.
[14] 陈琳,刘俊民,刘小学.支持向量机在地下水水质评价中的应用[J].西北农林科技大学学报:自然科学版,2010,38(11):221-226.
[15] 曲嘉铭,徐长江,陈华,等.基于支持向量机回归的区域洪水频率分析[J].人民长江,2018,49(16):14-18,86.
[16] 张丽. SWAT模型参数优化与土地利用变化的径流效应研究[D].陕西杨凌:西北农林科技大学,2016.
[17] 寇萌,焦菊英.黄土丘陵沟壑区抵抗土壤侵蚀的植物群落结构特征[J].水土保持研究,2018,25(6):7-14,21.
[18] 刘泉,陈朝镇.黄土高原水土流失的现状与思考[J].绵阳师范学院学报,2007,26(2):101-105.
[19] Zhang M F, Wei X H, Sun P S, et al. The effect of forest harvesting and climatic variability on runoff in a large watershed: The case study in the Upper Minjiang River of Yangtze River basin[J]. Journal of Hydrology, 2012,464/465:1-11.
[20] 穆兴民,张秀勤,高鹏,等.双累积曲线方法理论及在水文气象领域应用中应注意的问题[J].水文,2010,30(4):47-51.
[21] 李永娜.基于支持向量机的回归预测综述[J].信息通信,2014(11):32-33.
[22] 杜树新,吴铁军.用于回归估计的支持向量机方法[J].系统仿真学报,2003,15(11):1580-1585,1633.
[23] 赵广举,穆兴民,田鹏,等.近60年黄河中游水沙变化趋势及其影响因素分析[J].资源科学,2012,34(6):1070-1078.
[24] 侯钦磊,白红英,任园园,等.50年来渭河干流径流变化及其驱动力分析[J].资源科学,2011,33(8):1505-1512.
[25] 张艳霞,于瑞宏,薛浩,等.锡林河流域径流量变化对气候变化与人类活动的响应[J].干旱区研究,2019,36(1):67-76.
[26] 邱临静,郑粉莉,尹润生,等.降水变化和人类活动对延河流域径流影响的定量评估[J].气候变化研究进展,2011,7(5):357-362.
[27] 姚治君,管彦平,高迎春.潮白河径流分布规律及人类活动对径流的影响分析[J].地理科学进展,2003(6):599-606.
[28] 王明玉,王百田.不同水土保持措施对黄土高原小流域年径流和产沙的影响:以平凉纸坊沟为例[J].林业科学,2016,52(8):10-20.
[29] 张守红,刘苏峡,莫兴国,等.降雨和水保措施对无定河流域径流和产沙量影响[J].北京林业大学学报,2010,32(4):161-168.
[30] 穆兴民,王飞,李靖,等.水土保持措施对河川径流影响的评价方法研究进展[J].水土保持通报,2004,24(3):73-78.
[31] 王淑红.渭河支流葫芦河干流径流变化特征及其影响因素分析研究[D].兰州:兰州大学,2018.
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Last Update:
2020-02-25