干旱区生态环境知识资源中心(Arid): Measurable sediment discharge from a karst underground river in southwestern China: temporal variabilities and controlling factors

Arid

DOI	10.1007/s12665-020-8826-7
	Measurable sediment discharge from a karst underground river in southwestern China: temporal variabilities and controlling factors
	Li, Jianhong 1; Pu, Junbing 1; Zhang, Tao 1; Xiong, Xiaofeng 1; Wang, Sainan 1,2; Huo, Weijie 1; Yuan, Daoxian 1
通讯作者	Pu, Junbing
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2020
卷号	79 期号:4
英文摘要	Severe soil erosion is a critical issue in karst areas. Due to a lack of surface streams, soils often discharge from karst catchments via groundwater. Quantifying sediment discharge (SD) from karst groundwater will help managers to develop effective methods of soil conservation. The time series of the monthly SD and controlling factors (water discharge, precipitation, potential evapotranspiration, and normalized difference vegetation index) of the Nandong Underground River System (NURS), a typical karst underground river catchment in southwest China, from 1998 to 2015 were analyzed. To investigate the changing seasonal characteristics of monthly sediment discharge and controlling factors and predict the variations in monthly sediment discharge, an analysis of variance (ANOVA), seasonal Mann-Kendall test, and seasonal decomposition of time series by loess (STL) were conducted to identify changes in the seasonal characteristics of the SD and the controlling factors on a monthly scale. The results of these analyses indicated that the SD and its controlling factors varied considerably from month to month and the annual soil loss mainly occurred from June to September. The SD gradually decreased during April and May due to the decreasing of precipitation in March and April during the 1998-2015 period. The decrease of rainfall not only reduces the intensity of soil erosion on the surface, but also reduces the flow and velocity of underground rivers, reducing the transport capacity of suspended matter. Our study showed that the bivariate state-space model had the lowest Akaike's information criterion (AIC) score (- 7.594 and - 7.686) and root mean square error (RMSE) (0.022 x 10(6) m(3) and 0.020 x 10(6) m(3)) values and the highest R-2 values (0.983 and 0.984) for the calibration and validation periods, and was the best state-space model to describe the temporal distribution of the monthly sediment discharge in the NURS. A method that allows for the correct estimation and evaluation of soil erosion and the determination of the regional soil and water conservation can be useful for better karst catchment management in the NURS.
英文关键词	Sediment discharge Precipitation driven State-space model Karst underground river system
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000514916000002
WOS关键词	SOIL-EROSION ; WATER DISCHARGE ; LOESS PLATEAU ; YANGTZE-RIVER ; PEARL RIVER ; LAND-USE ; ROCKY DESERTIFICATION ; RAINFALL REGIMES ; VEGETATION COVER ; YELLOW-RIVER
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314422
作者单位	1.Chinese Acad Geol Sci, Key Lab Karst Dynam MNR & Guangxi, Inst Karst Geol, 50 Qixing Ave, Guilin 541004, Peoples R China; 2.Southwest Univ, Sch Geog Sci, Chongqing Key Lab Karst Environm, Chongqing 400715, Peoples R China
推荐引用方式 GB/T 7714	Li, Jianhong,Pu, Junbing,Zhang, Tao,et al. Measurable sediment discharge from a karst underground river in southwestern China: temporal variabilities and controlling factors[J],2020,79(4).
APA	Li, Jianhong.,Pu, Junbing.,Zhang, Tao.,Xiong, Xiaofeng.,Wang, Sainan.,...&Yuan, Daoxian.(2020).Measurable sediment discharge from a karst underground river in southwestern China: temporal variabilities and controlling factors.ENVIRONMENTAL EARTH SCIENCES,79(4).
MLA	Li, Jianhong,et al."Measurable sediment discharge from a karst underground river in southwestern China: temporal variabilities and controlling factors".ENVIRONMENTAL EARTH SCIENCES 79.4(2020).