北江流域水文特征变异研究

doi:10.11849/zrzyxb.2013.05.011

自然资源学报 ›› 2013, Vol. 28 ›› Issue (5): 822-831.doi: 10.11849/zrzyxb.2013.05.011

北江流域水文特征变异研究

李艳¹, 陈晓宏^2,3, 张鹏飞⁴

1. 广东商学院资源与环境学院, 广州 510320;
2. 中山大学水资源与环境研究中心, 广州 510275;
3. 华南地区水循环与水安全广东普通高校重点实验室, 广州 510275;
4. 广东嘉应学院地理科学与旅游学院, 广东梅州 514015

收稿日期:2011-02-25 修回日期:2012-10-29 出版日期:2013-05-20 发布日期:2013-05-20
作者简介:李艳(1978- ),女,新疆人,讲师,博士,主要从事水文与水资源研究。E-mail:liyan2990@yahoo.com.cn
基金资助:
国家自然科学基金项目(41001019);国家自然科学基金重点项目(51210013);广东省科技厅项目(2010B050300010);国家重点基础研究发展计划(973)项目(2010CB428405); 中英瑞气候变化适应项目广东气候变化风险评估及适应对策研究(ACCC/20100705-1);中山大学重大项目培育和新兴交叉学科项目(10lgzd11)。

Researchof Hydrological Characteristic Variation in Beijiang River Basin

LI Yan¹, CHEN Xiao-hong^2,3, ZHANG Peng-fei⁴

1. Department of Resources and Environment, Guangdong University of Business Studies, Guangzhou 510320, China;
2. Center for Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China;
3. Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Sun Yat-sen University, Guangzhou 510275, China;
4. Geography Science and Travel College, Jiaying University, Meizhou 514015, China

Received:2011-02-25 Revised:2012-10-29 Online:2013-05-20 Published:2013-05-20

摘要/Abstract

摘要：

水文特征变异研究是水文学研究中的重点之一。水文特征变异不仅包括时间、空间上的概念,还包括属性上的概念。研究水文序列在属性、时间及空间上的变异,才能够全面地反映水文序列的变异情况。论文探讨了水文特征变异的内涵,提出水文特征变异是研究对象或现象在属性、时间和空间上的变异量度。以北江流域径流量及降雨量资料为基础,全面分析了属性范畴下及时空范畴下北江流域水文序列的变异情况。结果表明:1992-2006年的径流量序列和1973-2006年的径流量序列相对于1956-1972年的径流量序列都发生了变异;从重心移动方向来看,北江流域在1959、1967、1975和1983年移动方向发生了转折,从重心移动的距离来看,降雨重心离多年平均较远的年份分别是1967、1975、1983和2000年。

关键词: 水文水资源, 水文特征变异, 相关积分法, 重心模型, 北江流域

Abstract:

Hydrological characteristic variation is a main content in hydrological research. Hydrological characteristic variation includes not only the concept of time and space, but also includes concept of attribute. Study of hydrological sequence in attribute, spatial and temporal variation can reflect the true situation of hydrological characteristic variation all around. This paper discusses the connotation of hydrological variation, and puts forward the measurement of hydrological characteristic variation in attribute category, time domain and space domain. An example was given based on the runoff and rainfall series of Beijiang River Basin to reveal the hydrological variation characteristics from attribute category and the space-time category comprehensively. The calculation shows that the runoff series of 1992-2006 and 1973-2006 all varied in contrast with 1992-2006; from spatial analysis, the gravity center model shows that the rainfall has changed in direction in 1959, 1967, 1975 and 1983 from the moving direction of gravity center, and the years that the gravity center moved far away to the average value were 1967, 1975, 1983 and 2000 from the moving distance of gravity center.

Key words: hydrology and water resources, hydrological characteristic variation, correlation integral, center gravity model, Beijiang River Basin

中图分类号:

P333.9

李艳, 陈晓宏, 张鹏飞. 北江流域水文特征变异研究[J]. 自然资源学报, 2013, 28(5): 822-831.

LI Yan, CHEN Xiao-hong, ZHANG Peng-fei. Researchof Hydrological Characteristic Variation in Beijiang River Basin[J]. JOURNAL OF NATURAL RESOURCES, 2013, 28(5): 822-831.

参考文献

[1] 熊立华, 周芬, 肖义, 等. 水文时间序列变点分析的贝叶斯方法[J]. 水电能源科学, 2003, 21(4):39-41. [XIONG Li-hua, ZHOU Fen, XIAO Yi, et al. Bayesian method for detecting change-points of hydrological time series. Water Resources and Power, 2003, 21(4):39-41.]

[2] 刘攀, 郭生练, 王才君, 等. 三峡水库汛期分期的变点分析方法研究[J]. 水文, 2005, 25(1):18-23. [LIU Pan, GUO Sheng-lian, WANG Cai-jun, et al. Flood season staged for three gorges reservoir based on the change-point approach. Hydrology, 2005, 25(1):18-23.]

[3] 张一驰, 周成虎, 李宝林. 基于Brown-Forsythe检验的水文序列变异点识别[J]. 地理研究, 2005, 24(5):741-747. [ZHANG Yi-chi, ZHOU Cheng-hu, LI Bao-lin. Brown-Forsy based method for detecting change points in hydrological time series. Geographical Research, 2005, 24(5):741-747.]

[4] 陈广才, 谢平. 水文变异的滑动F识别与检验方法[J]. 水文, 2006, 26(2):57-60. [CHEN Guang-cai, XIE Ping. Slide F test of change-point analysis. Hydrology, 2006, 26(2):57-60.]

[5] 张升堂, 拜存有, 万三强, 等. 人类活动的水文效应研究综述[J]. 水土保持研究, 2004, 11(3):317-319. [ZHANG Sheng-tang, BAI Cun-you, WAN San-qiang, et al. The Research process on hydrological effects to human activities. Research of Soil and Water Conservation, 2004, 11(3):317-319.]

[6] 沈宏. 天然径流还原计算方法初步探讨[J]. 水利规划与设计, 2003(3):15-18. [SHEN Hong. Preliminary discussion of natural runoff reductive calculation method. Water Conservancy Planning and Designing, 2003(3):15-18.]

[7] Ismaiylov G Kh, Fedorov V M. Analysis of long-term variations in the Volga annual runoff [J]. Water Resources, 2001, 28(5):469-476.

[8] 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, 22(6):599-606. [YAO Zhi-jun, GUAN Yan-ping, GAO Ying-chun. Analysis of distribution regulation of annual runoff and affection to annual runoff by human activity in the Chaobaihe River. Progress in Geogeaphy, 2003, 22(6):599-606.]

[9] Montanari A, Rosso R, Taqqu M S. A seasonal fractional ARFIMA model applied to the Nile River monthly at Aswan [J]. Water Resources Research, 2000, 36:1249-1259.

[10] 张闻胜, 王银堂. 时间序列分解模型在水文要素中长期预报中的应用[J]. 水文, 2001, 21(1):21-24. [ZHANG Wen-sheng, WANG Yin-tang. Application of the time series decomposable model in medium and long-term hydrologic forecasting. Hydrology, 2001, 21(1):21-24.]

[11] Tucci C E M, Clarke R T, Collischonn W, et al. Long-term flow forecasts based on climate and hydrologic modeling: Uruguay River Basin [J]. Water Resource Research, 2003, 39(7):SWC3-1-SWC3-11.

[12] 李道峰, 田英, 刘昌明. 黄河河源区变化环境下分布式水文模拟[J]. 地理学报, 2004, 59(4):565-573. [LI Dao-feng, TIAN Ying, LIU Chang-ming. Distributed hydrological simulation of the source regions of the yellow river under environmental changes. Acta Geographica Sinica, 2004, 59(4):565-573.]

[13] 李艳, 陈晓宏, 王兆礼. 北江流域径流量分布规律及其变异性分析[J]. 水资源与水工程学报, 2006, 17(4):14-17. [LI Yan, CHEN Xiao-hong, WANG Zhao-li. Analysis on the distribution and the variability of recorded runoff at ShiJiao station in the BeiJiang River. Journal of Water Resources & Water Engineering, 2006, 17(4):14-17.]

[14] 李艳, 陈晓宏, 王兆礼. 人类活动对北江流域径流系列变化的影响初探[J]. 自然资源学报, 2006, 21(6):910-915. [LI Yan, CHEN Xiao-hong, WANG Zhao-li. A primary discuss to the influence of human activities on the variability of runoff series of the BeiJiang river. Journal of Natural Resources, 2006, 21(6):910-915.]

[15] 李艳, 陈晓宏, 张鹏飞. 北江流域径流序列年内分配特征及其趋势分析[J]. 中山大学学报:自然科学版, 2007, 46(5):113-116. [LI Yan, CHEN Xiao-hong, ZHANG Peng-fei. Research on annual distribution and its trend of runoff in Beijiang River, Guangdong. Acta Scientiarum Naturalium Universitatis Sun-YatSeni, 2007, 46(5):113-116.]

[16] 陈晓宏, 陈泽宏. 洪水特征的时间变异性识别[J]. 中山大学学报:自然科学版, 2000, 39(1):96-100. [CHEN Xiao-hong, CHEN Ze-hong. Recognition on the variability of hydrological time series. Acta Scientiarum Naturalium Universitatis Sun-YatSeni, 2000, 39(1):96-100.]

[17] 王孝礼, 胡宝清, 夏军. 水文时序趋势与变异点的R/S分析法[J]. 武汉大学学报:工学版, 2002, 35(2):10-12. [WANG Xiao-li, HU Bao-qing, XIA Jun. R/S analysis method of trend and aberrance point on hydrological time series. Engineering Journal of Wuhan University, 2002, 35(2):10-12.]

[18] 张治昊. 黄河口水沙过程变异与演变响应[D]. 北京:中国水利水电科学研究院, 2005. [ZHANG Zhi-hao. Variation of the Processes of Flow and Sediment and Response of the Evolution in the Yellow River Estuary. Beijing: China Institute of Water Resources and Hydropower Research, 2005.]

[19] 金菊良, 魏一鸣, 丁晶. 基于遗传算法的水文时间序列变点分析方法[J]. 地理科学, 2005, 25(6):720-723. [JIN Ju-liang, WEI Yi-ming, DING Jing. Genetic algorithm based change-point analysis method for hydrological time series. Scientia Geographica Sinica, 2005, 25(6):720-723.]

[20] 朱颖元, 石凝. 福州市一百年来(1900-1999年)年降水量序列统计特性分析[J]. 水文, 2002, 22(3):22-25. [ZHU Ying-yuan, SHI Ning. Analysis on the statistical characteristics of Fuzhou annual precipitation time series during the past one hundred years. Hydrology, 2002, 22(3):22-25.]

[21] 徐建华, 岳文泽. 近20年来中国人口重心与经济重心的演变及其对比分析[J]. 地理科学, 2001, 21(5):385-389. [XU Jian-hua, YUE Wen-ze. Evolvement and comparative analysis of the population center gravity and the economy gravity center in recent twenty years in China. Scientia Geographica Sinica, 2001, 21(5):385-389.]

[22] 乔家君, 李小建. 近50年来中国经济重心移动路径分析[J]. 地域研究与开发, 2005, 24(1):12-16. [QIAO Jia-jun, LI Xiao-jian. The shift route of Chinese economic gravity center in recent 50 years. Areal Research and Development, 2005, 24(1):12-16.]

北江流域水文特征变异研究

Researchof Hydrological Characteristic Variation in Beijiang River Basin

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 10

Metrics

本文评价

推荐阅读 0

[1]	陈舒婷, 郭兵, 杨飞, 韩保民, 范业稳, 杨潇, 何田莉, 刘悦, 杨雯娜. 2000—2015年青藏高原植被NPP时空变化格局及其对气候变化的响应[J]. 自然资源学报, 2020, 35(10): 2511-2527.
[2]	李维杰, 王建力. 太行山脉不同量级降雨侵蚀力时空变化特征[J]. 自然资源学报, 2019, 34(4): 785-801.
[3]	刘占明, 陈子燊, 路剑飞, 黄强. 广东北江流域降水时空分布及其与Niño 3区SST相关性分析[J]. 自然资源学报, 2013, 28(5): 786-798.
[4]	赵玲玲, 夏军, 王中根, 李宗礼. 北京潜在蒸散发量年内-年际的气候变化特征及成因辨识[J]. 自然资源学报, 2013, 28(11): 1911-1921.
[5]	凌红波, 徐海量, 张青青, 史薇. 新疆玛纳斯河径流过程的非线性特征[J]. 自然资源学报, 2011, 26(4): 683-693.
[6]	彭远新, 林振山. 能源消费产生的SO₂和工业烟尘排放量时空演变分析[J]. 自然资源学报, 2010, 25(1): 52-59.
[7]	李艳, 陈晓宏, 王兆礼. 人类活动对北江流域径流系列变化的影响初探[J]. 自然资源学报, 2006, 21(6): 910-915.
[8]	仇亚琴, 王水生, 贾仰文, 王浩, 周祖昊, 胡冬梅, 严登华, 李娟. 汾河流域水土保持措施水文水资源效应初析[J]. 自然资源学报, 2006, 21(1): 24-30.
[9]	李云玲, 裴源生, 秦大庸. 黑河下游河道渗漏规律研究[J]. 自然资源学报, 2005, 20(2): 195-199.
[10]	贾仰文, 王浩, 王建华, 罗翔宇, 周祖昊, 严登华, 秦大庸. 黄河流域分布式水文模型开发和验证[J]. 自然资源学报, 2005, 20(2): 300-308.