指纹因子和估算模型对复合指纹识别泥沙来源的影响

doi:10.16843/j.sswc.2022.06.017

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Abstract [Background] The composite fingerprinting approach has been developed as one of the most important methods in sediment and contaminant source study, change tracing in erosional environment, and integrated management improvement of watersheds. Fingerprints and contribution estimation models are key aspects affecting the accuracy of sediment source identification, which further influence the tracing reliability of correlated contaminant source and erosional environment change, as well as the development of watershed management strategies. Thus, it is significant to understanding the impact of fingerprints and estimation models on sediment source. [Methods] This study summarizes research progress on the screening methods of fingerprints, selection of estimation models, and correction of key factors in models to clarify their impacts on the accurate identification of sediment sources using the composite fingerprinting approach. [Results] The selection of an optimal composite fingerprinting group or multiple composite fingerprinting groups had a significant impact on sediment source identification, which was also the case for the selection of different types of models. This was because fingerprints not only linked soil in source areas and deposited sediment, but also provided the basis for the selection of estimation models. Studies conducted in the same region suggested that sediment contribution from the same source varied up to 18.0% and 14.2%, respectively, when adopting different composite fingerprints selection methods and contribution estimation models. Thus, future research must enhance system study of the approach, and focus on solving the issue that previous studies lacked reliable validation of sediment source estimation using the composite fingerprinting approach through other reliable methods. It is urgent to obtain reliable and precise sediment source quantification data through scientific experiments using multiple techniques. Based on these precise verification data, further studies should first check and confirm the primary uncertainty sources affecting sediment source discrimination; second, select better fingerprints screening method; and third, improve contribution estimation models and algorithms of the key factors. [Conclusions] The ultimate objective is to improve the composite fingerprinting approach, and establish a normative methodology for the accurate quantification of sediment sources to serve the reasonable design of soil water conservation measures.

Key words： composite fingerprinting approach optimal composite fingerprinting approach multiple composite fingerprinting approach sediment source estimation model particle sorting

Received: 09 August 2021

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S157

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	Articles by authors
	ZHANG Jiaqiong
	YIN Minfeng
	LIU Ying
	DANG Zhen
	BAI Ruru
	SHANG Yueting
	YANG Mingyi

Cite this article:

ZHANG Jiaqiong,YIN Minfeng,LIU Ying, et al. Influence of fingerprinting properties and estimation models on sediment source discrimination via composite fingerprinting approach[J]. SSWC, 2022, 20(6): 143-150.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2022.06.017 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2022/V20/I6/143

[1]	COLLINS A L, PULLEY S, FOSTER I D L, et al. Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users[J]. Journal of environmental management, 2017, 194:86.
[2]	TANG Qiang, FU Bojie, WEN Anbang, et al. Fingerprinting the sources of water-mobilized sediment threatening agricultural and water resource sustainability: Progress, challenges and prospects in China[J]. Science China-Earth Sciences, 2019, 62(12):177.
[3]	ZHANG Jiaqiong, YANG Mingyi, ZHANG Fengbao, et al. Revealing soil erosion characteristics using deposited sediment sources in a complex small catchment in the wind-water erosion crisscross region of the Chinese Loess Plateau[J]. Geoderma, 2020, 379(26):114634.
[4]	李勉, 李平, 杨二, 等. 黄土丘陵区淤地坝建设后小流域泥沙拦蓄与输移特征[J]. 农业工程学报, 2017, 33(18):80. LI Mian, LI Ping, YANG Er, et al. Characteristics of sediment retention and transport in small watershed after construction of check dams in Loess Hilly Area[J]. Transactions of the CSAE, 2017, 33(18):80.
[5]	王靖宇, 方红卫, 黄磊, 等. 重金属随泥沙迁移过程的数学模型[J]. 水科学进展, 2014, 25(2):225. WANG Jingyu, FANG Hongwei, HUANG Lei, et al. A transport model for heavy metals in sediments[J]. Advances in Water Science, 2014, 25(2):225.
[6]	BROSINSKY A, FOERSTER S, SEGL K, et al. Spectral fingerprinting: Sediment source discrimination and contribution modelling of artificial mixtures based on VNIR-SWIR spectral properties[J]. Journal of Soils and Sediments, 2014, 14:1949.
[7]	KOITER A J, OWENS P N, PETTICREW E L, et al. The behavioural characteristics of sediment properties and their implications for sediment fingerprinting as an approach for identifying sediment sources in river basins[J]. Earth-Science Reviews, 2013, 125:24.
[8]	陈方鑫, 张含玉, 方怒放, 等. 利用两种指纹因子判别小流域泥沙来源[J]. 水科学进展, 2016, 27(6):867. CHEN Fangxin, ZHANG Hanyu, FANG Nufang, et al. Using two kinds of fingerprint factors to identify sediment in a small catchment[J]. Advances in Water Science, 2016, 27(6):867.
[9]	张加琼, 王晓彤, 杨明义, 等. 颗粒分选与有机质因子对复合指纹识别泥沙来源的影响[J]. 地理科学, 2021, 41(3):504. ZHANG Jiaqiong, WANG Xiaotong, YANG Mingyi, et al. Effect of particle sorting and organic matter on sediment source study using composite fingerprints[J]. Scientia Geographica Sinica, 2021, 41(3):504.
[10]	LACEBY J P, EVRARD O, SMITH H G, et al. The challenges and opportunities of addressing particle size effects in sediment source fingerprinting: a review[J]. Earth-Science Reviews, 2017, 169:85.
[11]	KOITER A J, OWENS P N, PETTICREW E L, et al. Assessment of particle size and organic matter correction factors in sediment source fingerprinting investigations: An example of two contrasting watersheds in Canada[J]. Geoderma, 2018, 325:195.
[12]	柳本立, Zhang Xunchang John, 牛百成, 等. 多组复合指纹示踪法及其应用[J]. 地球科学进展, 2019, 34(10):1092. LIU Benli, ZHANG Xunchang John, NIU Baicheng, et al. A multiple composite fingerprinting method and its application[J]. Advances in Earth Science, 2019, 34(10):1092.
[13]	HADDADCHI A, OLLEY J, LACEBY P. Accuracy of mixing models in predicting sediment source contributions[J]. Science of the Total Environment, 2014, 497:139.
[14]	MANJORO M, ROWNTREE K, KAKEMBO V, et al. Use of sediment source fingerprinting to assess the role of subsurface erosion in the supply of fine sediment in a degraded catchment in the Eastern Cape, South Africa[J]. Journal of environmental management, 2017, 194:27.
[15]	TOMBEUR F D, CORNU S, BOURLES D, et al. Retention of 10Be, 137Cs and 210Pbxs in soils: Impact of physico-chemical characteristics[J]. Geoderma, 2020, 367:114242.
[16]	LI Guanglu, PANG Xiaoming. Difference in organic carbon contents and distributions in particle-size fractions between soil and sediment on the southern Loess Plateau, China[J]. Journal of Mountain Science, 2014, 11(3):717.
[17]	杜鹏飞, 黄东浩, 秦伟, 等. 基于不同模型不同指纹因子的东北黑土区小流域泥沙来源分析[J]. 水土保持学报, 2020, 34(1):84. DU Pengfei, HUANG Donghao, QIN Wei, et al. Sediment source in a small watershed located in the black soil region of Northeast China based on different models and various fingerprints[J]. Journal of Soil and Water Conservation, 2020, 34(1):84.
[18]	韩春贵. 算术平均值及其分布[J]. 环境技术, 2007(2):49. HAN Chungui. Average value of arithmetic and its distribution[J]. Environmental Technology, 2007(2):49.
[19]	ZHANG X C John, LIU B L. Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction[J]. Geoderma, 2016, 268:108.
[20]	NIU Baicheng, QU Jianjun, ZHANG Xunchang John, et al. Quantifying provenance of reservoir sediment using multiple composite fingerprints in an arid region experiencing both wind and water erosion[J]. Geomorphology, 2019, 332:112.
[21]	COLLINS A L, WALLING D E, WEBB L, et al. Apportioning catchment scale sediment sources using a modified composite fingerprinting technique incorporating property weightings and prior information[J]. Geoderma, 2010, 155(3/4):249.
[22]	COLLINS A L, BLACKWELL M, BOECKX P, et al. Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes[J]. Journal of Soils and Sediments, 2020, 20(12):4160.
[23]	NIU Baicheng, TAN Lihai, ZHANG Xunchang John, et al. Targeted control of sand hazards for a railway in extremely arid regions using fingerprinting approaches[J]. Geomorphology, 2020, 361:107189.
[24]	陈鸿. 利用不同指纹识别方法估算东北黑土区典型小流域泥沙来源[D]. 陕西杨凌:西北农林科技大学, 2021:28. CHEN Hong. Estimation of sediment sources in typical small watersheds in the northeastern black soil region using different fingerprinting methods[D]. Yangling Shaanxi: Northwest A&F University, 2021:28.
[25]	CHEN Fangxin, ZHANG Fengbao, FANG Nufang, et al. Sediment source analysis using the fingerprinting method in a small catchment of the Loess Plateau, China[J]. Journal of Soils and Sediments, 2016, 16(5):1655.
[26]	ZHANG Jiaqiong, YANG Mingyi, ZHANG Fengbao, et al. Fingerprinting sediment sources after an extreme rainstorm event in a small catchment on the Loess Plateau, PR China[J]. Land Degradation & Development, 2017, 28(8):2527.
[27]	NOSRATI K, COLLINS A L, MADANKAN M. Fingerprinting sub-basin spatial sediment sources using different multivariate statistical techniques and the Modified MixSIR model-Science Direct[J]. Catena, 2018, 164:32.
[28]	FANG Haiyan, FAN Zemeng. Fingerprinting sediment sources of the Shouchang River in the southeastern China[J]. Environmental Earth Sciences, 2021, 80(1):33.
[29]	BEHROOZ R D, GHOLAMI H, TELFER M W, et al. Using GLUE to pull apart the provenance of atmospheric dust[J]. Aeolian Research, 2019, 37:1.
[30]	HUANGFU Y C, ESSINGTON M E, HAWKINS S A, et al. Testing the sediment fingerprinting technique using the SIAR model with artificial sediment mixtures[J]. Journal of Soils and Sediments, 2020, 20(3):1771.
[31]	HUGHES A O, OLLEY J M, CROKE J C, et al. Sediment source changes over the last 250 years in a dry-tropical catchment, central Queensland, Australia[J]. Geomorphology, 2009, 104(3/4):262.
[32]	史玮玥, 岳荣, 方怒放. 黄土高原地区泥沙来源复合指纹示踪研究进展[J]. 水土保持通报, 2019, 39(3):276. SHI Weiyue, YUE Rong, FANG Nufang. A review of research on sediment sources discrimination with composite fingerprints techniques in Loess Plateau[J]. Bulletin of Soil and Water Conservation, 2019, 39(3):276.
[33]	MOTHA J A, WALBRINK P J, HAIRSINE P B, et al. Determining the sources of suspended sediment in a forested catchment in southeastern Australia[J]. Water Resource Research, 2003, 39(3):53.
[34]	COLLINS A L, WALLING D E, LEEKS G J L. Composite fingerprinting of the spatial source of fluvial suspended sediment: A case study of the Exe and Severn River Basins, United Kingdom[J]. Géomorphologie: Relief, Processes, Environment, 1996, 2(2):41.
[35]	FOLK R L, WARD W C. Brazos River bar: A study in the significance of grain size parameters[J]. Journal of Sedimentary Research, 1957, 27(1):3.
[36]	GALL M L, EVRARD O, FOUCHER A, et al. Quantifying sediment sources in a lowland agricultural catchment pond Using 137Cs activities and radiogenic 87Sr/86Sr ratios[J]. Science of the Total Environment, 2016, 566:968.
[37]	曹文洪, 刘冰. 应用指纹识别方法确定泥沙来源研究进展[J]. 中国水利水电科学研究院学报, 2018, 16(5):353. CAO Wenhong, LIU Bing. Review of research progress in application of fingerprints method to determination of sediment source[J]. Journal of China Institute of Water Resources and Hydropower Research, 2018, 16(5):353.
[38]	赵恬茵, 王志兵, 吴媛媛, 等. 基于指纹识别技术的小流域泥沙来源研究进展[J]. 水土保持研究, 2020, 27(2):377. ZHAO Tianyin, WANG Zhibing, WU Yuanyuan, et al. A review of studies on sediment source of small catchment using composite fingerprinting[J]. Research of Soil and Water Conservation, 2020, 27(2):377.
[39]	周慧平, 周宏伟, 陈玉东. 指纹技术识别泥沙来源: 不确定性研究进展[J]. 土壤学报, 2019, 56(6):1279. ZHOU Huiping, ZHOU Hongwei, CHEN Yudong. Sediment source fingerprinting: Progress in uncertainty analysis[J]. Acta Pedologica Sinica, 2019, 56(6):1279.