自然科学版
陕西师范大学学报(自然科学版)
流域侵蚀产沙研究
钱塘江流域产沙空间变异特征及影响因素
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梁石正雄,方海燕*
(中国科学院 地理科学与资源研究所 陆地水循环及地表过程院重点实验室,北京 100101;中国科学院大学 资源与环境学院,北京 100049)
方海燕,男,副研究员,硕士生导师,研究方向为土壤侵蚀与水土保持。E-mail: fanghy@igsnrr.ac.cn
摘要:
以钱塘江流域11个子流域为研究对象,采用1964—1989年、2006—2015年水文站水沙记录数据,通过提取流域侵蚀产沙的潜在影响因子,运用相关分析、主成分分析及多元回归分析等方法,对钱塘江流域产沙空间变异特征及影响因素进行研究。结果发现:钱塘江流域11个子流域的产沙模数空间变异性大,产沙模数从113.26 t/(km2·a) 变化到 309.55 t/(km2·a),平均值为185.51 t/(km2·a);流域产沙量与流域面积、河流长度和径流量在0.05水平上呈显著正相关关系,而产沙模数随流域面积增加而减小的相关性不显著,但与聚集指数、香农多样性指数和斑块密度等景观指数在0.01水平上呈显著相关;多元回归分析表明,模型对年产沙量(YS)模拟效果较好,但对年产沙模数(YSS)的模拟存在一定不确定性;以流域面积、河流长度为代表的流域形态因子对产沙量的贡献达到75.6%,以景观指数为代表的主成分对产沙模数的贡献达到44.4%,这表明产沙模数与流域景观特征关系密切,可根据流域地形地貌特征,合理调整土地利用结构控制流域的侵蚀产沙。
关键词:
钱塘江流域;流域产沙;空间特征;影响因素
收稿日期:
2018-07-12
中图分类号:
S157.1
文献标识码:
A
文章编号:
1672-4291(2019)04-0067-09
基金项目:
国家自然科学基金(4157127)
Doi:
Spatial variations of catchment sediment yields and their influencing factors in Qiantang River catchment
LIANG Shizhengxiong, FANG Haiyan*
(1 Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract:
11 sub-catchments in the Qiantang River catchment, northeastern Zhejiang province were selected, and runoff and sediment yield data in 1964-2015 monitored at the hydrometric stations were used to obtain catchment sediment yield YS and YSS (YSS,the ratio of YS to catchment area). Their spatial variations and the potential influencing factors of catchment YS and YSS were analyzed through correlation analysis, principal component analysis (PCA) and multiple regression analysis. The results showed that the catchment YS and YSS varied greatly in space. The catchments YSS ranged from 113.26 t/(km2·a) to 309.55 t/(km2·a),with an average of 185.51 t/(km2·a). Catchment YS was positively correlated with drainage area, stream length and runoff amount at 0.05 significance level. In contrast, catchment YSS was negatively correlated with drainage area. However, landscape metrics such as patch density, aggregation index and Shannon′s diversity index were significantly correlated with catchment YSS. The multiple regression analysis showed that the performances of YS and YSS model were satisfactory. The contributions of morphological factors such as catchment area and river length to catchment YS reached 75.6%. The contribution of landscape metrics to catchment YSS reached 44.4%. In the study area, catchment YSS was closely related to the landscape patterns. This study implies that reasonable adjustment of landscape patterns is one of effective ways to control catchment sediment loss in the Qiantang River catchment and other catchments with similar environmental characteristics.
KeyWords:
Qiantang River catchment; catchment sediment yield; spatial feature; influencing factor