1. 新疆农业大学水利与土木工程学院,乌鲁木齐,830052
2. 新疆大学地理与遥感科学学院,乌鲁木齐,830046
3. 西北农林科技大学水利与建筑工程学院, 陕西 杨凌,712100
[ "姚海坤(1995-),男,博士研究生,主要从事大库盘水库泥沙淤积防治研究。E-mail:haikunyao@163.com" ]
纸质出版:2023
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姚海坤, 侍克斌, 孔选昭, 等. 渭干河上游流域近60年的入库水沙变化特征及趋势分析[J]. 水土保持学报, 2023,37(5):121-129.
YAO Haikun, SHI Kebin, KONG Xuanzhao, et al. Analysis of the Characteristics and Trend of Runoff and Sediment of Reservoir in the Upper Reaches of the Weigan River in the Past 60 Years[J]. 2023, 37(5): 121-129.
姚海坤, 侍克斌, 孔选昭, 等. 渭干河上游流域近60年的入库水沙变化特征及趋势分析[J]. 水土保持学报, 2023,37(5):121-129. DOI: 10.13870/j.cnki.stbcxb.2023.05.015.
YAO Haikun, SHI Kebin, KONG Xuanzhao, et al. Analysis of the Characteristics and Trend of Runoff and Sediment of Reservoir in the Upper Reaches of the Weigan River in the Past 60 Years[J]. 2023, 37(5): 121-129. DOI: 10.13870/j.cnki.stbcxb.2023.05.015.
研究干旱半干旱地区多沙河流的水沙特性及趋势
对流域内水沙调控、水沙预测具有重要意义。基于宏观(微观)的角度来详细研究干旱半干旱地区多沙河流的水沙特性及趋势
以期为流域内水沙调控、水沙预测提供理论帮助。应用累积距平法、ITA法和ITA-CB法计算克孜尔水库入库流量、入库输沙率
并分别从年内、年际、年代际3个尺度系统地分析流量、输沙率的变化特征与趋势。结果表明:(1)年内水沙分布特征高度相似
二者的最高值均分布在7月
其最低值分别分布在3月和1月
年际尺度上波动性强且差异明显;(2)年度入库流量呈现上升趋势且有增加倾向
夏季表现为上升趋势且存在减弱倾向
其中高值区升高趋势减弱
需要注意干旱的极端气候;(3)年度输沙率呈上升趋势
季度尺度下的趋势特征均表现为下降趋势
其中夏秋两季下降趋势有减弱倾向
冬季出现增强倾向。与传统分析方法相比
ITA与ITA-CB方法能够有效识别出序列内部间存在的微观趋势
有助于详细分析区域水沙的变化特征。
Studying the runoff and sediment characteristics and trends of sandy rivers in arid and semi-arid regions is of great significance for water and sediment regulation and prediction in the basin. Based on the macro (micro) perspective
the characteristics and trends of sandy rivers in arid and semi-arid areas were studied in detail
in order to provide theoretical help for flow and sediment regulation and prediction in river basins. In this study
the umulative distance method
ITA method and ITA-CB method were used to calculate the inflow flow and sediment transport rate of Kezier Reservoir
meanwhile the characteristics and trends of flow and sediment transport rate were systematically analyzed from the three scales of intrayear
interannual and interdecade scales. The results showed that:(1) The distribution characteristics of flow and sediment were highly similar in the year
with the highest value in July and the lowest value in March and January
respectively
with strong volatility and obvious differences on the interannual scale. (2) The annual inbound flow in the past 58 years showed an upward trend with an increasing tendency
and in summer it showed an upward trend with a weakening tendency
among which the upward trend of the high-value area weakened
and it was necessary to pay attention to the extreme climate of drought. (3) The annual sediment transport rate showed an upward trend
and the trend characteristics under the quarterly scale showed a downward trend
among which the downward trend in summer and autumn tended to weaken
and it showed a tendency to strengthen in winter. Compared with traditional analysis methods
ITA and ITA-CB methods could effectively identify the microscopic trends within the sequence
and were more helpful for analyzing the changes of regional flow and sediment in detail.
隆院男,唐蓉,蒋昌波,等.近60年湘江流域水沙特性及其对人类活动的响应[J].农业工程学报,2018,34(24):132-143.
韩丹丹,穆兴民,高鹏,等.极端降水条件下大理河流域水沙特征对比分析[J].中国水土保持科学,2019,17(6):61-68.
黄川,娄霄鹏,刘元元.金沙江流域泥沙演变过程及趋势分析[J].重庆大学学报(自然科学版),2002,25(1):21-23.
杨敏,毛德华,刘培亮,等.1951-2015年洞庭湖水沙变化特征分析[J].武汉大学学报(工学版),2018,51(12):1050-1062,1071.
万新宁,李九发,何青,等.长江中下游水沙通量变化规律[J].泥沙研究,2003(4):29-35.
王佳琦,贾燕锋.近60年大凌河中上游水沙变化特征[J].水土保持研究,2018,25(3):35-40.
宋浩然.大凌河中上游水沙演变趋势及突变特征分析[J].水土保持应用技术,2018(1):10-13.
郑春喜.大凌河中上游水沙变化特征分析[J].中国水能及电气化,2018(3):52-56.
彭俊.1950年以来鄱阳湖流域水沙变化规律及影响因素分析[J].长江流域资源与环境,2015,24(10):1751-1761.
张强,陈桂亚,姜彤,等.近40年来长江流域水沙变化趋势及可能影响因素探讨[J].长江流域资源与环境,2008,17(2):257-263.
史红玲,胡春宏,王延贵,等.淮河流域水沙变化趋势及其成因分析[J].水利学报,2012,43(5):571-579.
郭世兴,刘斌,王光社,等.基于Mann-Kendall法的汉江上游水沙趋势分析[J].水电能源科学,2015,33(11):140-142.
连运涛,王昱,郑健,等.黑河流域上游水沙输移趋势及其成因分析[J].干旱区资源与环境,2019,33(3):98-104.
姜泓旭,田鹏,穆兴民,等.不同时间尺度孤山川流域水沙关系变化及驱动因素[J].水土保持学报,2020,34(2):86-92,215.
王延贵,刘茜,史红玲.江河水沙变化趋势分析方法与比较[J].中国水利水电科学研究院学报,2014,12(2):190-195,201.
宋逸云,黄峰.衢江水沙变化趋势分析[J].水资源保护,2017,33(4):40-46.
刘思海,侍克斌,张宏科,等.近60年渭干河上游克孜尔水库水沙变化趋势及其影响因素分析[J].干旱区资源与环境,2018,32(8):153-160.
张明旺,侍克斌,朱跃亮,等.近60 a渭干河上游与黑孜河交汇处水沙变化特征及影响因素分析[J].甘肃农业大学学报,2022,57(2):153-163.
von Storch H. Misuses of statistical analysis in climate research[M]//von Storch H, Navarra A. Analysis of Climate Variability. Berlin, Heidelberg:Springer,1995:11-26.
张洪波,王斌,辛琛,等.去趋势预置白方法对径流序列趋势检验的影响[J].水力发电学报,2016,35(12):56-69.
张洪波,张姝琪,李吉程,等.基于TFPW-DT-ICSS法的渭河水文序列方差变异识别与诊断[J].华北水利水电大学学报(自然科学版),2017,38(4):47-53.
张洪波,李哲浩,席秋义,等.基于改进过白化的Mann-Kendall趋势检验法[J].水力发电学报,2018,37(6):34-46.
Hamed K H, Ramachandra Rao A. A modified Mann-Kendall trend test for autocorrelated data[J].Journal of Hydrology,1998,204(1/2/3/4):182-196.
Yue S, Pilon P, Phinney B, et al. The influence of autocorrelation on the ability to detect trend in hydrological series[J].Hydrological Processes,2002,16(9):1807-1829.
Bayazit M, Önöz B. To prewhiten or not to prewhiten in trend analysis?[J].Hydrological Sciences Journal,2007,52(4):611-624.
Şen Z. Innovative trend analysis methodology[J].Journal of Hydrologic Engineering,2012,17(9):1042-1046.
吴国栋,薛河儒,刘廷玺.1961-2016年锡林河流域降水及平均气温变化特征及趋势[J].干旱区地理,2021,44(3):769-777.
吴国栋,刘廷玺,薛河儒.一种基于ITA改进的水文气象序列趋势分析法[J].河海大学学报(自然科学版),2022,50(1):1-6,37.
肖晰文,张芸露,刘春红,等.1961-2016年西昌气候干湿演变趋势研究[J].人民珠江,2022,43(10):1-9.
王涛,伊丽努尔·阿力甫江,李思颖,等.三种趋势分析法在东帕米尔高原降水特征分析中的应用[J].气象,2022,48(10):1312-1320.
Kong X Z, Shi K B, Yao H K, et al. A comparative study of runoff and sediment trends between the classical method and variance-corrected ITA method[J].Arabian Journal of Geosciences,2022,15(18):1514.
Şen Z. Innovative trend significance test and applications[J].Theoretical and Applied Climatology,2017,127(3):939-947.
Alashan S. An improved version of innovative trend analyses[J].Arabian Journal of Geosciences,2018,11(3):50.
周海龙.木扎提河悬移质泥沙特性及输沙量探析[J].陕西水利,2019(4):64-65,68.
陈波.渭干河流域洪水分析[J].河南水利与南水北调,2019,48(7):38-40.
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