Research progress on the carbon cycle of rivers and lakes
DUAN Wei-yan1, HUANG Chang1,2,3
1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; 2. Shanxi key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, China; 3. Institute of Earth Surface System and Natural Hazards, Northwest University, Xi'an 710127, China
Abstract：This study focuses on the carbon cycle of rivers and lakes. It first illustrates the migration and transformation processes of various carbon components, such as particulate organic carbon (POC), particulate inorganic carbon (PIC), and dissolved organic carbon (DOC), in different aquatic ecosystems, and then elucidates the key factors affecting the carbon flux of rivers and lakes. After that, it summarizes the instruments and laboratory techniques that can be used to determine the carbon content in water. In particular, this study discusses the application of remote sensing technology in carbon component inversion and estimation. At last, it systematically summarizes the research advances in recent years using remote sensing data to estimate the carbon components of rivers and lakes, such as POC, DOC, colored dissolved organic matter (CDOM) and chlorophyll a (Chla). A comprehensive comparison of the carbon cycle models of inland waters that had been established at home and abroad is conducted. Based on the literature review, it is found that different types of rivers and lakes at different latitudes have different influencing factors on carbon flux and carbon cycle, which is determined by local water cycle and water-atmosphere exchange. Traditional laboratory measurements can measure the carbon components of water bodies accurately, whereas satellite remote sensing is able to monitor carbon components in rivers and lakes, such as CDOM, DOC, POC and phytoplankton, at large scales. It provides an effective means to achieve regional water quality carbon cycle processes monitoring. Constructing carbon cycle model is helpful for analyzing the sources and characteristics of carbon components, and revealing the biogeochemical cycle processes. But further improvement on the applicability and robustness of existing models is required.
段巍岩, 黄昌. 河流湖泊碳循环研究进展[J]. 中国环境科学, 2021, 41(8): 3792-3807.
DUAN Wei-yan, HUANG Chang. Research progress on the carbon cycle of rivers and lakes. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(8): 3792-3807.
孙会国,汉景泰,张淑荣,等."05-06"西江特大洪水对河流碳输出通量的影响[J]. 科学通报, 2006,51(23):2773-2779. Song H G, Han J T, Zang S R, et al. "05-06" Xijiang River catastrophic flood impact on river carbon export flux[J]. Chinese Science Bulletin, 2006,51(23):2773-2779.
[2]
朱先进,于贵瑞,高艳妮,等.中国河流入海颗粒态碳通量及其变化特征[J]. 地理科学进展, 2012,31(1):118-122. Zhu X J, Yu G R, Gao Y N, et al. Fluxes of particulate carbon from rivers to the ocean and their changing tendency in China[J]. Progress In Geography, 2012,31(1):118-122.
[3]
Battin T J, Luyssaert S, Kaplan L A, et al. The boundless carbon cycle[J]. Nature Geoscience, 2009,2(9):598-600.
[4]
Raymond P A, Hartmann J, Lauerwald R, et al. Global carbon dioxide emissions from inland waters[J]. Nature, 2013,503(7476):355-359.
[5]
Regnier P, Friedlingstein P, Ciais P, et al. Anthropogenic perturbation of the carbon fluxes from land to ocean[J]. Nature Geoscience, 2013,6(8):597-607.
[6]
Aitkenhead J A,McDowell W H. Soil C:N ratio as a predictor of annual riverine DOC flux at local and global scales[J]. Global Biogeochemical Cycles, 2000,14(1):127-138.
[7]
Li M X, Peng C H, Wang M, et al. The carbon flux of global rivers:A re-evaluation of amount and spatial patterns[J]. Ecological Indicators, 2017,80:40-51.
[8]
Harmon T C. Carbon gas flux to and from inland waters:support for a global observation network[J]. Limnology, 2020,21(3):429-442.
[9]
Butman D, Raymond P A. Significant efflux of carbon dioxide from streams and rivers in the United States[J]. Nature Geoscience, 2011,4(12):839-842.
[10]
张永领.河流有机碳循环研究综述[J]. 河南理工大学学报(自然科学版), 2012,31(3):344-351. Zang Y S. The review of the research of the riverine organic carbon cycle.[J]. Journal of Henan Polytechnic University(Natural Science), 2012,31(3):344-351.
[11]
姚冠荣,高全洲.河流碳循环与全球变化研究进展[C]//中国地理学会2004年学术年会暨海峡两岸地理学术研讨会论文摘要集.广州:中国地理学会, 2004:1. Yao G R, Gao Q Z. Research progress of river carbon cycle and global change//Abstracts of papers of the 2004 annual conference of the Chinese Geographical Society and the cross-strait geography seminar. Guangzhou:Chinese Geographical Society, 2004:1.
[12]
刘二东,杨耀.湖泊碳循环研究进展及研究方法[J]. 北方环境, 2012,24(2):201-204. Liu E D, Yang Y. Research progerss and methods of lake carbon cycle[J]. Northern Environmental, 2012,24(2):201-204.
[13]
杨琳.湖泊水体碳循环研究进展综述[J]. 中国资源综合利用, 2020,38(7):122-124. Yang L. Review on the research progress of carbon cycle in lake water[J]. China Resources Comprehensive Utilization, 2020,38(7):122-124.
[14]
Reiman J H, Xu Y J. Dissolved carbon export and CO2 outgassing from the lower Mississippi River-Implications of future river carbon fluxes[J]. Journal of Hydrology, 2019,578:124093.
[15]
Brunet F, Gaiero D, Probst J L, et al. δ13C tracing of dissolved inorganic carbon sources in Patagonian rivers (Argentina)[J]. Hydrological Processes, 2005,19(17):3321-3344.
[16]
Liu Q Y, Liang Y T, Cai W J, et al. Changing riverine organic C:N ratios along the Pearl River:Implications for estuarine and coastal carbon cycles[J]. Science of the Total Environment, 2020,709:136052.
[17]
Probst J L, Mortatti J, Tardy Y. Carbon river fluxes and weathering CO2 consumption in the Congo and Amazon river basins[J]. Applied Geochemistry, 1994,9(1):1-13.
[18]
Ludwig W, Probst J-L, Kempe S. Predicting the oceanic input of organic carbon by continental erosion[J]. Global Biogeochemical Cycles, 1996,10(1):23-41.
[19]
张连凯,覃小群,杨慧,等.珠江流域河流碳输出通量及变化特征[J]. 环境科学, 2013,34(8):3025-3034. Zhang L K, Tan X Q, Yang H, et al. Transported fluxes of the riverine carbon and seasonal variation in Pearl River Basin[J]. Environmental Science, 2013,34(8):3025-3034.
[20]
魏秀国.珠江流域河流碳通量与流域侵蚀研究[D]. 广州:中国科学院研究生院(广州地球化学研究所), 2003. Wei G X. Study on rivering carbon flux and erosion of Zhujiang (PEARL) River Drainage Basin[D]. Guangzhou:Graduate School of Chinese Academy of Sciences, 2003.
[21]
Li S Y, Lu X X, Bush R T. CO2 partial pressure and CO2 emission in the Lower Mekong River[J]. Journal of Hydrology, 2013,504:40-56.
[22]
包宇飞.雅鲁藏布江水文水化学特征及流域碳循环研究[D]. 北京:中国水利水电科学研究院, 2019. Bao Y F. The study of hydrochemical characteristics and carbon in the Yarlung Zangbo River basin[D]. Beijing:China Institute of Water Resources and Hydropower Research, 2019.
[23]
Wu Y, Zhang J, Liu S M, et al. Sources and distribution of carbon within the Yangtze River system[J]. Estuarine, Coastal and Shelf Science, 2007,71(1/2):13-25.
[24]
Lv S C, Yu Q B, Wang F, et al. A synthetic model to quantify dissolved organic carbon transport in the Changjiang River System:Model structure and spatiotemporal patterns[J]. Journal of Advances in Modeling Earth Systems, 2019,11(9):3024-3041.
[25]
Bousquet P, Peylin P, Ciais P, et al. Regional changes in carbon dioxide fluxes of land and oceans since 1980[J]. science, 2000, 290(5495):1342-1347.
[26]
Fabre C, Sauvage S, Tananaev N, et al. Assessment of sediment and organic carbon exports into the Arctic ocean:The case of the Yenisei River basin[J]. Water Research, 2019,158:118-135.
[27]
Hannah L. Chapter 19-Carbon Sinks and Sources[M]. Boston:Academic Press, 2015:403-422.
[28]
Galy V, Peucker-Ehrenbrink B, Eglinton T. Global carbon export from the terrestrial biosphere controlled by erosion[J]. Nature, 2015, 521(7551):204-207.
[29]
Bouchez J, Galy V, Hilton R G, et al. Source, transport and fluxes of Amazon River particulate organic carbon:Insights from river sediment depth-profiles[J]. Geochimica et Cosmochimica Acta, 2014,133:280-298.
[30]
赖珊,万宏滨,唐芳,等.抚仙湖沉积物有机碳埋藏特征及来源解析[J]. 中国环境科学, 2020,40(3):1246-1256. Lai S, Wang H B, Tang F, et al. Characteristics and source analysis of organic carbon buried in sediments of Fuxian Lake.[J]. China Environmental Science, 2020,40(3):1246-1256.
[31]
Lei Y B, Yao T D, Sheng Y W, et al. Characteristics of δ13CDIC in lakes on the Tibetan Plateau and its implications for the carbon cycle[J]. Hydrological Processes, 2012,26(4):535-543.
[32]
Downing J P, Meybeck M, Orr J C, et al. Land and water interface zones[J]. Water, Air, and Soil Pollution, 1993,70(1-4):123-137.
[33]
Kempe S. Sinks of the anthropogenically enhanced carbon cycle in surface fresh waters[J]. Journal of Geophysical Research:Atmospheres, 1984,89(D3):4657-4676.
[34]
Marsh N B, Lacelle D, Faucher B, et al. Sources of solutes and carbon cycling in perennially ice-covered Lake Untersee, Antarctica[J]. Scientific Reports, 2020,10(1):125-145.
[35]
Johnston S E, Bogard M J, Rogers J A, et al. Constraining dissolved organic matter sources and temporal variability in a model sub-Arctic lake[J]. Biogeochemistry, 2019,146(8):271-292.
[36]
Barbosa P M, Melack J M, Amaral J H F, et al. Dissolved methane concentrations and fluxes to the atmosphere from a tropical floodplain lake[J]. Biogeochemistry, 2020,148(2):129-151.
[37]
Alcocer J, Ruiz-Fernández A C, Oseguera L A, et al. Sediment carbon storage increases in tropical, oligotrophic, high mountain lakes[J]. Anthropocene, 2020,32:100272.
[38]
Chen J A, Yang H Q, Zeng Y, et al. Combined use of radiocarbon and stable carbon isotope to constrain the sources and cycling of particulate organic carbon in a large freshwater lake, China[J]. Science of the Total Environment, 2018,625:27-38.
[39]
类延斌,姚檀栋,张恩楼,等.羌塘高原湖水δ13CDIC值特征及影响因素分析[J]. 湖泊科学, 2011,23(5):673-680. Lei Y B, Yao T D, Zhang E L, et al. Characteristics of δ13CDIC value in lakes on Qiangtang Plateau and its affected factors[J]. Journal Of Lake Science, 2011,23(5):673-680.
[40]
赵登忠,汪朝辉,申邵洪,等.青藏高原典型河流与湖泊表层水体碳时空变化特征初步分析[J]. 长江科学院院报, 2018,35(11):13-19. Zhao D Z, Wang C H, Shen S H, et al. Temporal and spatial changes of carbon in water from typical rivers and lakes over the Tibetan Plateau[J]. Journal of Yangtze River Scientific Research Institut, 2018,35(11):13-19.
[41]
Wen Z D, Song K S, Liu G, et al. Impact factors of dissolved organic carbon and the transport in a river-lake continuum in the Tibet Plateau of China[J]. Journal of Hydrology, 2019,579.
[42]
Qi T C, Xiao Q T, Cao Z G, et al. Satellite estimation of dissolved carbon dioxide concentrations in China¢s Lake Taihu[J]. Environmental Science & Technology, 2020,54(21):13709-13718.
[43]
Yang H K, Graham N J D, Wang W F, et al. Evaluating and improving the reliability of the UV-persulfate method for the determination of TOC/DOC in surface waters[J]. Water Research, 2021,196:116918.
[44]
Yang H, Li Q F, Yu J Z. Comparison of two methods for the determination of water-soluble organic carbon in atmospheric particles[J]. Atmospheric Environment, 2003,37(6):865-870.
[45]
Lewen N, Nugent D. The use of inductively coupled plasma-atomic emission spectroscopy (ICP-AES) in the determination of lithium in cleaning validation swabs[J]. Journal of Pharmaceutical and Biomedical Analysis, 2010,52(5):652-655.
[46]
Du Q, Cai Y G, Chen Z, et al. Determination of trace elements in corydalis conspersa and corydalis linarioides by ICP-AES[J]. Journal of Chemistry, 2020,2020:6567015.
[47]
Maestre S E, Mora J, Hernandis V, et al. A system for the direct determination of the nonvolatile organic carbon, dissolved organic carbon, and inorganic carbon in water samples through inductively coupled plasma atomic emission spectrometry[J]. Analytical chemistry, 2003,75(1):111-117.
[48]
Stefánsson A, Gunnarsson I,Giroud N. New methods for the direct determination of dissolved inorganic, organic and total carbon in natural waters by Reagent-Free Ion Chromatography and inductively coupled plasma atomic emission spectrometry[J]. Analytica chimica acta, 2007,582(1):69-74.
[49]
Mounteney I, Burton A K, Farrant A R, et al. Heavy mineral analysis by ICP-AES a tool to aid sediment provenancing[J]. Journal of Geochemical Exploration, 2018,184:1-10.
[50]
李云霄,黄潇,邹英杰,等.夏季汾河干流溶解无机碳同位素组成及其来源[J]. 中国环境科学, 2020,40(9):3871-3878. Li Y X, Huang X, Zou Y J, et al. Isotopic composition of dissolved inorganic carbon and its source in the main stream of the Fenhe River during summer[J]. China Environmental Science, 2020,40(9):3871-3878.
[51]
Wang W F, Li S L, Zhong J, et al. Climatic and anthropogenic regulation of carbon transport and transformation in a karst river-reservoir system[J]. Science of the Total Environment, 2020,707:135628.
[52]
Zhao G Q, Gao Y, Wang L, et al. Isotopically-tracked hydrological changes in carbon cycling and its sources in a Chinese subtropical forested watershed[J]. Journal of Hydrology, 2019,575:1041-1051.
[53]
杨海全,陈敬安,王敬富,等.利用Δ14C和δ13C示踪湖泊水体颗粒有机碳来源与循环[C]//中国矿物岩石地球化学学会第17届学术年会论文摘要集.杭州:中国矿物岩石地球化学学会, 2019:2. Yang H Q, Chen J A, Wang J F, et al. Using Δ14C and δ13C to trace the source and circulation of particulate organic carbon in lake water[C]//Abstracts of papers of the 17th annual conference of Chinese Society of Mineralogy, Petrology and Geochemistry. Hangzhou:Chinese Society for Mineralogy Petrology and Geochemistry, 2019:2.
[54]
Li Z C, Li X, Wang X, et al. Isotopic evidence revealing spatial heterogeneity for source and composition of sedimentary organic matters in Taihu Lake, China[J]. Ecological Indicators, 2020,109:105854.1-105854.10.
[55]
Wen Z D, Song K S, Liu G, et al. Characterizing DOC sources in China's Haihe River basin using spectroscopy and stable carbon isotopes[J]. Environmental Pollution, 2020,258:113684.
[56]
Xiong C M, Ding B F, Geng X F, et al. Quantitative analysis on distribution of microcosmic residual oil in reservoirs by frozen phase and nuclear magnetic resonance (NMR) technology[J]. Journal of Petroleum Science and Engineering, 2020,192:107256.
[57]
Mao H Y, Tang J, Xu J, et al. Revealing molecular mechanisms in hierarchical nanoporous carbon via nuclear magnetic resonance[J]. Matter, 2020,3(6):2093-2107.
[58]
Fischer A, Schlothauer K, Pfitzmann A, et al. Carbon-13 liquid-and solid-state nuclear magnetic resonance and infra-red studies of amine-cured epoxy resins[J]. Polymer, 1992,33(7):1370-1373.
[59]
Watanabe A,Fujitake N. Comparability of composition of carbon functional groups in humic acids between inverse-gated decoupling and cross polarization/magic angle spinning 13C nuclear magnetic resonance techniques[J]. Analytica chimica acta, 2008,618(1):110-115.
[60]
郭佳,晁碧霄,张颖,等.西洞庭湖季节性淹水和植被类型对温室气体排放通量的影响[J]. 湖泊科学, 2020,32(3):726-734. Guo J, Chao B X, Zhang Y, et al. Effects of seasonal flooding and vegetation types on greenhouse gas emission in west[J]. Journal of Lake Sciences, 2020,32(3):726-734.
[61]
周文昌,崔丽娟,王义飞,等.排水对若尔盖高寒沼泽CO2和CH4排放通量的影响[J]. 中国环境科学, 2019,39(7):3040-3047. Zhou W C, Cui L J, Wang Y F, et al. Effects of drainage on the CO2 and CH4 emission fluxes in the Zoigê Plateau Marsh[J]. China Environmental Science, 2019,39(7):3040-3047.
[62]
高尚赞.遥感技术在宏观生态环境监测中的应用[J]. 中国资源综合利用, 2020,38(6):38-39. Gao S Z. Application of remote sensing technology in macro ecological environment monitoring[J]. China Resources Comprehensive Utilization, 2020,38(6):38-39.
[63]
孟庆庆.水环境监测中遥感技术的应用探讨[J]. 环境与发展, 2020, 32(7):79-81. Meng Q Q. Application of remote sensing technology in water environment monitoring[J]. Environmental and Development, 2020, 32(7):79-81.
[64]
Caballero I, Fernandez R, Escalante O M, et al. New capabilities of Sentinel-2A/B satellites combined with in situ data for monitoring small harmful algal blooms in complex coastal waters[J]. Scientific Reports, 2020,10(4):2816-2846.
[65]
韩增磊,肖敏,王中良.Landsat数据在解析太湖水体溶解性有机碳影响机制中的应用[J]. 生态学杂志, 2020,39(7):2446-2455. Han Z L, Xiao M, Wang Z L. Application of Landsat data in analyzing the influence mechanism of dissolved organic carbon in Taihu Lake[J]. Chinese Journal of Ecology, 2020,39(7):2446-2455.
[66]
Brezonik P L, Olmanson L G, Finlay J C, et al. Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters[J]. Remote Sensing of Environment, 2015,157:199-215.
[67]
Ferrari G M. The relationship between chromophoric dissolved organic matter and dissolved organic carbon in the European Atlantic coastal area and in the West Mediterranean Sea (Gulf of Lions)[J]. Marine Chemistry, 2000,70(4):339-357.
[68]
Shao T T, Song K S, Du J, et al. Retrieval of CDOM and DOC using in situ hyperspectral data:A case study for potable waters in Northeast China[J]. Journal of the Indian Society of Remote Sensing, 2016, 44(1):77-89.
[69]
Liu D, Du Y X, Yu S J, et al. Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River[J]. Water Research, 2020,168:115132.
[70]
Olmanson L G, Page B P, Finlay J C, et al. Regional measurements and spatial/temporal analysis of CDOM in 10,000+ optically variable Minnesota lakes using Landsat 8 imagery[J]. Science of the Total Environment, 2020,724:138141.
[71]
Brezonik P, Menken K D,Bauer M. Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM)[J]. Lake and Reservoir Management, 2005,21(4):373-382.
[72]
Li J W, Yu Q, Tian Y Q, et al. Spatio-temporal variations of CDOM in shallow inland waters from a semi-analytical inversion of Landsat-8[J]. Remote Sensing of Environment, 2018,218:189-200.
[73]
Cherukuru N, Ford P W, Matear R J, et al. Estimating dissolved organic carbon concentration in turbid coastal waters using optical remote sensing observations[J]. International Journal of Applied Earth Observation and Geoinformation, 2016,52:149-154.
[74]
Liu Q, Pan D, Bai Y, et al. Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data[J]. Journal of Geophysical Research:Oceans, 2014,119(10):6557-6574.
[75]
Chen J, Zhu W N, Tian Y Q, et al. Monitoring dissolved organic carbon by combining Landsat-8 and Sentinel-2 satellites:Case study in Saginaw River estuary, Lake Huron[J]. Science of the Total Environment, 2020,718:137374.
[76]
Fan H, Wang X J, Zhang H B, et al. Spatial and temporal variations of particulate organic carbon in the Yellow-Bohai Sea over 2002~2016[J]. Scientific Reports, 2018,8(1):7971.
[77]
Jiang G J, Loiselle S A, Yang D T, et al. An absorption-specific approach to examining dynamics of particulate organic carbon from VIIRS observations in inland and coastal waters[J]. Remote Sensing of Environment, 2019,224:29-43.
[78]
Xu J, Lei S H, Bi S, et al. Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing[J]. Water Research, 2020,168:115162.
[79]
Jiang G J, Ma R H, Loiselle S A, et al. Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China)[J]. Science of the Total Environment, 2015,532:245-254.
[80]
Lyu H, Wang Y N, Jin Q, et al. Developing a semi-analytical algorithm to estimate particulate organic carbon (POC) levels in inland eutrophic turbid water based on MERIS images:A case study of Lake Taihu[J]. International Journal of Applied Earth Observation and Geoinformation, 2017,62:69-77.
[81]
Liu D, Bai Y, He X Q, et al. Satellite estimation of particulate organic carbon flux from Changjiang River to the estuary[J]. Remote Sensing of Environment, 2019,223:307-319.
[82]
彭保发,陈哲夫,李建辉,等.基于GF-1影像的洞庭湖区水体水质遥感监测[J]. 地理研究, 2018,37(9):1683-1691. Peng B F, Chen Z F, Li J H, et al. Monitoring water quality of Dongting Lake region based on GF-1image[J]. Geographical Research, 2018,37(9):1683-1691.
[83]
Jiang G J, Loiselle S A, Yang D T, et al. Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations[J]. Remote Sensing of Environment, 2020,241:111735.
[84]
El-Rawy M, Fathi H, Abdalla F. Integration of remote sensing data and in situ measurements to monitor the water quality of the Ismailia Canal, Nile Delta, Egypt[J]. Environmental Geochemistry Health, 2019,42(7):2101-2120.
[85]
Xue K, Ma R H, Duan H T, et al. Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images:A case study using China's three largest freshwater lakes[J]. Remote Sensing of Environment, 2019,225:328-346.
[86]
Harrison J A, Caraco N,Seitzinger S P. Global patterns and sources of dissolved organic matter export to the coastal zone:Results from a spatially explicit, global model[J]. Global Biogeochemical Cycles, 2005,19(4):GB4S04.
[87]
Lacroix F, Ilyina T,Hartmann J. Oceanic CO2outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach[J]. Biogeosciences, 2020, 17(1):55-88.
[88]
Nakayama T. New perspective for eco-hydrology model to constrain missing role of inland waters on boundless biogeochemical cycle in terrestrial-aquatic continuum[J]. Ecohydrology & Hydrobiology, 2016,16(3):138-148.
[89]
Nakayama T. Development of an advanced eco-hydrologic and biogeochemical coupling model aimed at clarifying the missing role of inland water in the global biogeochemical cycle[J]. Journal of Geophysical Research:Biogeosciences, 2017,122(4):966-988.
[90]
Nakayama T, Pelletier G J. Impact of global major reservoirs on carbon cycle changes by using an advanced eco-hydrologic and biogeochemical coupling model[J]. Ecological Modelling, 2018,387:172-186.
[91]
Nakayama T. Scaled-dependence and seasonal variations of carbon cycle through development of an advanced eco-hydrologic and biogeochemical coupling model[J]. Ecological Modelling, 2017,356:151-161.
[92]
Neal C, House W A, Down K. An assessment of excess carbon dioxide partial pressures in natural waters based on pH and alkalinity measurements[J]. Science of the Total Environment, 1998,210:173-185.
[93]
Jarvie H P, King S M, Neal C. Inorganic carbon dominates total dissolved carbon concentrations and fluxes in British rivers:Application of the THINCARB model-Thermodynamic modelling of inorganic carbon in freshwaters[J]. Science of the Total Environment, 2017,575:496-512.
[94]
Smith D R, Jarvie H P, Bowes M J. Carbon, nitrogen, and phosphorus stoichiometry and eutrophication in River Thames Tributaries, UK[J]. Agricultural & Environmental Letters, 2017,2(1):170020.
[95]
Oeurng C, Sauvage S, Sánchez-Pérez J-M. Assessment of hydrology, sediment and particulate organic carbon yield in a large agricultural catchment using the SWAT model[J]. Journal of Hydrology, 2011, 401(3):145-153.
[96]
Latifah I. Analysis of water availability, sedimentation, and organic carbon using SWAT model in the upper jeneberang watershed, South Sulawesi[J]. MT-Agriculture Technology, 2013.
[97]
Daramola J, Ekhwan T M, Mokhtar J, et al. Estimating sediment yield at Kaduna watershed, Nigeria using soil and water assessment tool (SWAT) model[J]. Heliyon, 2019,5(7):e02106.
[98]
Hu W P, Jorgensen S E, Zhang F B. A vertical-compressed three-dimensional ecological model in Lake Taihu, China[J]. Ecological Modelling, 2006,190(3):367-398.
[99]
Hu W P, Sven Erik J, Zhang F B, et al. A model on the carbon cycling in Lake Taihu, China[J]. Ecological Modelling, 2011,222(16):2973-2991.
[100]
Li Q Q, Hu W P,Zhai S H. Integrative indicator for assessing the alert levels of algal bloom in lakes:Lake Taihu as a case study[J]. Environmental Management, 2016,57(1):237-250.
[101]
McCullough I M, Dugan H A, Farrell K J, et al. Dynamic modeling of organic carbon fates in lake ecosystems[J]. Ecological Modelling, 2018,386:71-82.
[102]
Futter M N, Butterfield D, Cosby B J, et al. Modeling the mechanisms that control in-stream dissolved organic carbon dynamics in upland and forested catchments[J]. Water Resources Research, 2007,43(2):W02424.
[103]
Futter M N, de Wit H A. Testing seasonal and long-term controls of streamwater DOC using empirical and process-based models[J]. Science of the Total Environment, 2008,407(1):698-707.
[104]
Futter M N, Lofgren S, Kohler S J, et al. Simulating dissolved organic carbon dynamics at the swedish integrated monitoring sites with the integrated catchments model for carbon, INCA-C[J]. Ambio, 2011,40(8):906-919.
[105]
Oni S K, Futter M N, Molot L A, et al. Modelling the long term impact of climate change on the carbon budget of Lake Simcoe, Ontario using INCA-C[J]. Science of the Total Environment, 2012,414:387-403.
[106]
Cioffi F, Gallerano F. Response of Lake Piediluco to the change of hydrodynamic conditions and nutrient load reductions[J]. Ecological Modelling, 2000,135(2):199-229.
