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Environmental Management

Erschienen in:

24.03.2022

Health Assessment for Mountainous Rivers Based on Dominant Functions in the Huaijiu River, Beijing, China

verfasst von: Qingxian Kong, Zhongbao Xin, Yunjie Zhao, Lishan Ran, Xiaoping Xia

Erschienen in: Environmental Management | Ausgabe 1/2022

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Abstract

Dominant functions usually vary greatly in different reaches of mountainous rivers and are influenced by different adjacent land uses. Assessing river health based on dominant functions is of great practical value to river management. To reveal the health status of different reaches in Beijing’s northern mountainous rivers, 60 investigated plots (river length 38.1 km) were surveyed in 2016 in the Huaijiu River, which is a typical mountainous river in northern Beijing, and a hierarchy-comprehensive analysis method was employed. Based on the degree of human influences, the Huaijiu River could be classified into six types, including natural reaches, near-natural reaches, artificial bank plant reaches, artificial bank ornamental plant reaches, artificial bank sparse plant dry-stone reaches and artificial bank masonry reaches. The river health assessment index system was established based on flood control, landscape, hydrology and water quality, and ecological functions. The analytic hierarchy process (AHP) was used to determine the weights of the function layer and indicator layer. The assessment results showed that healthy, subhealthy, slightly damaged, damaged and severely damaged plots accounted for 20.0%, 26.7%, 26.7%, 15.0% and 11.6% of the total plots, respectively. In summary, all plots in natural reaches, artificial bank plant reaches and artificial bank ornamental plant reaches were either healthy, subhealthy or slightly damaged. Plots in artificial bank masonry reaches were either subhealthy, slightly damaged, damaged or severely damaged, accounting for 9.1%, 27.3%, 27.3% and 36.4% of the total plots, respectively. The study proposed a method to assess mountainous river health based on dominant functions, which is a multiobjective approach and is not based solely on natural river functions. The assessment method is appropriate for the socioeconomic development and management of river basins.

Vorheriger Artikel Assessment of Spatio-Temporal Changes for Ecosystem Health: A Case Study of Hexi Corridor, Northwest China

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Al Sawaf MB, Kawanisi K (2020) Assessment of mountain river streamflow patterns and flood events using information and complexity measures. J Hydrol 590:125508. https://doi.org/10.1016/j.jhydrol.2020.125508CrossRef

Bao SD (2018) Soil agrochemical analysis (third edition). China Agriculture Press, Beijing

Beijing water and soil conservation work station, Beijing forestry carbon sink work office, & Beijing institute of science and technology (2016) Technical Handbook for Small Water Body Ecological Rehabilitation in Beijing Mountain Area. Chinese Water Conservancy and Hydropower Press, Beijing

Bunn SE, Abal EG, Smith MJ, Choy SC, Fellows CS, Harch BD, Kennard MJ, Sheldon F (2010) Integration of science and monitoring of river ecosystem health to guide investments in catchment protection and rehabilitation. Freshw Biol 55(Suppl. 1):223–240. https://doi.org/10.1111/j.1365-2427.2009.02375.xCrossRef

Chen Q, Guo B, Zhao C, Zhang J (2019) A comprehensive ecological management approach for northern mountain rivers in China. Chemosphere 234:25–33. https://doi.org/10.1016/j.chemosphere.2019.06.04CrossRef

Cinelli M, Coles SR, Kirwan K (2014) Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecol Indic 46:138–148. https://doi.org/10.1016/j.ecolind.2014.06.011CrossRef

Davies PE, Harris JH, Hillman TJ, Walker KF (2010) The Sustainable River Audit: assessing river ecosystem health in the Murray-Darling Basin, Australia. Mar Freshw Res 61(7):764–777. https://doi.org/10.1071/MF09043CrossRef

Deng X, Xu Y, Han L, Yu Z, Yang M (2015) Assessment of river health based on an improved entropy-based fuzzy matter-element model in the Taihu Plain, China. Ecol Indic 57:85–95. https://doi.org/10.1016/j.ecolind.2015.04.020CrossRef

Dolédec S, Statzner B (2008) Invertebrate traits for the biomonitoring of large European rivers: an assessment of specific types of human impact. Freshw Biol 53(3):617–634. https://doi.org/10.1111/j.1365-2427.2007.01924.xCrossRef

Dou C, Xia J, Wang Y, Cai W, Zeng Z, Zhu X, Cheng Y (2020) Spatial variations of soil phosphorus in bars of a mountainous river. Sci Total Environ 140478. https://doi.org/10.1016/j.scitotenv.2020.140478

Estevez E, Rodríguez-Castillo T, Álvarez-Cabria M, Peñas FJ, Gonaález-Ferreras AM, Lezcano M, Barquín J (2017) Analysis of structural and functional indicators for assessing the health state of mountain streams. Ecol Indic 72:553–564. https://doi.org/10.1016/j.ecolind.2016.08.052CrossRef

Gao JR, Feng ZS, Gao Y, Liu Y, Lv J, Lou HP, Wang Y, Chen ZS (2010) Stream near-natural assessment—methods and applications. Chinese Water Conservancy and Hydropower Press, Beijing.

Gao Y, Gao JR, Feng ZS, Bao YF (2009) The near-natural quantitative assessment system of small watershed ecosystems of Huaijiu River. J Arid land Resour Environ 23(4):64–68.

Gu ZJ, Wang RL (2016) A security situation assessment model of information system based on improced fuzzy analytical hierarchy process. Computer Eng Sci 38(10):8.

Jia YT, Chen YF (2013) River health assessment in a large river: Bioindicators of fish population. Ecol Indic 26:24–32. https://doi.org/10.1016/j.ecolind.2012.10.011CrossRef

Karr JR (1981) Assessment of biotic integrity using fish communities. Fisheries 6(6):21–27. pp.CrossRef

Kim J, An K-G (2015) Integrated Ecological River Health Assessments, Based on Water Chemistry, Physical Habitat Quality and Biological Integrity. Water 7(11):6378–6403. https://doi.org/10.3390/w7116378CrossRef

Kim J-O, Mueller CW (1987) Introduction to factor analysis: what it is and how to do it. Quantitative Applications in the Social Sciences Series. Sage University Press, Newbury Park.

Ladson AR, White LJ, Doolan JA, Finlayson BL, Hart BT, Lake PS, Tilleard JW (1999) Development and testing of an Index of Stream Condition for waterway management in Australia. Freshw Biol 41(2):453–468. https://doi.org/10.1046/j.1365-2427.1999.00442.xCrossRef

Li T, Ding Y, Xia W (2017) An integrated method for waterway health assessment: a case in the Jingjiang reach of the Yangtze River, China. Phys Geogr 39(1):67–83. https://doi.org/10.1080/02723646.2017.1345537CrossRef

Li T, Huang X, Jiang X, Wang X (2018) Assessment of ecosystem health of the Yellow River with fish index of biotic integrity. Hydrobiologia 814(1):31–43. https://doi.org/10.1007/s10750-015-2541-5CrossRef

Liu X-Q, Gippel CJ, Wang H-Z, Leigh C, Jiang X-H (2017) Assessment of the ecological health of heavily utilized, large lowland rivers: example of the lower Yellow River, China. Limnology 18(1):17–29. https://doi.org/10.1007/s10201-016-0484-9CrossRef

Luo G, Feng Y, Zhang B, Cheng W (2010) Sustainable land-use patterns for arid lands: A case study in the northern slope areas of the Tianshan Mountains. J Geographical Sci 20(4):510–524. https://doi.org/10.1007/s11442-010-0510-5CrossRef

Luo Z, Shao Q, Zuo Q, Cui, Y (2020) Impact of land use and urbanization on river water quality and ecology in a dam dominated basin. J Hydrol 124655. https://doi.org/10.1016/j.jhydrol.2020.124655

Mamun M, An K-G (2018) Ecological Health Assessments of 72 Streams and Rivers in Relation to Water Chemistry and Land-Use Patterns in South Korea. Turkish J Fish Aquat Sci 18(7):871–880. https://doi.org/10.4194/1303-2712-v18_7_05CrossRef

Meng W, Zhang N, Zhang Y, Zheng B (2009) Integrated assessment of river health based on water quality, aquatic life and physical habitat. J Environ Sci 21(8):1017–1027. https://doi.org/10.1016/s1001-0742(08)62377-3CrossRef

Morán-Tejeda E, Ceballos-Barbancho A, Llorente-Pinto JM (2010) Hydrological response of mediterranean headwaters to climate oscillations and land-cover changes: the mountains of duero river basin (central spain). Glob Planet change 72(1-2):39–49. https://doi.org/10.1016/j.gloplacha.2010.03.003CrossRef

Naiman R (2013) Socio-ecological complexity and the restoration of river ecosystems. Inland Waters 3(4):391–410. https://doi.org/10.5268/iw-3.4.667CrossRef

Petersen RC (1992) The RCE: a Riparian, Channel, and Environmental Inventory for small streams in the agricultural landscape. Freshw Biol 27(2):295–306. https://doi.org/10.1111/j.1365-2427.1992.tb00541.xCrossRef

Qiao Y, Zhu H, Zhong H, Li Y (2020) Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China. ISPRS Int J Geo-Inf 9(11):682. https://doi.org/10.3390/ijgi9110682CrossRef

Qin Y, Xin Z, Wang D, Xiao Y (2017) Soil organic carbon storage and its influencing factors in the riparian woodlands of a Chinese karst area. Catena 153:21–29. https://doi.org/10.1016/j.catena.2017.01.031CrossRef

Qin Z, Li H, Liu Z (2014) Multi-objective comprehensive evaluation approach to a river health system based on fuzzy entropy. Mathemat Struct Comput Sci 24(05). https://doi.org/10.1017/S0960129513000777

Saaty TL (2001) Analytic Hierarchy Process. Encycl Operat Res Manag Sci. 19–28. https://doi.org/10.1007/1-4020-0611-X_31

Schofield NJ, Davies PE (1996) Measuring the health of our rivers. Water 5(6):39–43

Singh RK, Murty HR, Gupta SK, Dikshit AK (2012) An overview of sustainability assessment methodologies. Ecol Indic 15(1):281–299. https://doi.org/10.1016/j.ecolind.2011.01.007CrossRef

Shan C, Dong Z, Lu D, Xu C, Wang H, Ling Z, Liu Q (2021) Study on river health assessment based on a fuzzy matter-element extension model. Ecol Indic 127:107742. https://doi.org/10.1016/j.ecolind.2021.107742CrossRef

Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environ Model Softw 22(4):464–475. https://doi.org/10.1016/j.envsoft.2006.02.001CrossRef

Stoddard JL, Larsen DP, Hawkins CP, Johnson RK, Norris RH (2006) Setting expectations for the ecological condition of streams: the concept of reference condition. Ecol Appl 16(4):1267–1276. https://doi.org/10.1890/1051-0761(2006)016[1267:SEFTEC]2.0.CO;2CrossRef

Su Y, Li W, Liu L, Hu W, Li J, Sun X, Li Y (2021) Health assessment of small-to-medium sized rivers: Comparison between comprehensive indicator method and biological monitoring method. Ecol Indic 126:107686. https://doi.org/10.1016/j.ecolind.2021.107686CrossRef

Tian Y, Jiang Y, Liu Q, Dong M, Xu D, Liu Y, Xu X (2019) Using a water quality index to assess the water quality of the upper and middle streams of the Luanhe River, northern China. Sci Total Environ 667:142–151. https://doi.org/10.1016/j.scitotenv.2019.02.356CrossRef

Wang S, Zhang Q, Yang T, Zhang L, Li X, Chen J (2019) River health assessment: Proposing a comprehensive model based on physical habitat, chemical condition and biotic structure. Ecol Indic 103:446–460. https://doi.org/10.1016/j.ecolind.2019.04.013CrossRef

Wright JF, Moss D, Armitage PD et al. (1984) A preliminary classification of running-water sites in Great Britain based on macroinvertebrate species and the prediction of community type using environmental data. Freshw Biol 14:221–256CrossRef

Xia J, Zhang Y, Zhao C, Bunn SE (2014) Bioindicator Assessment Framework of River Ecosystem Health and the Detection of Factors Influencing the Health of the Huai River Basin, China. J Hydrologic Eng 19(8):04014008. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000989CrossRef

Xu J (2016) Construction of mountain flood disaster defense non-engineering measures in huairou district. Econ Hydroenergy 12:310–311. in chinese

Yadav NS, Kumar A, Sharma MP (2014) Ecological health assessment of Chambal River using water quality parameters. J Integr Sci Technol 2(2):52–56

Yang T, Liu J, Chen Q (2013) Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China. Ecol Model 268:37–47. https://doi.org/10.1016/j.ecolmodel.2013.07.023CrossRef

Yong RG, Collier KJ (2009) Contrasting responses to catchment modification among a range of functional and structural indicators of river ecosystem health. Freshw Biol 54(10):2155–2170. https://doi.org/10.1111/j.1365-2427.2009.02239.xCrossRef

Zhang D, Cheng J, Liu Y, Zhang H, Ma L, Mei X, Sun Y (2018a) Spatio-Temporal Dynamic Architecture of Living Brush Mattress: Root System and Soil Shear Strength in Riverbanks. Forests 9(8):493. https://doi.org/10.3390/f9080493CrossRef

Zhang X, Meng Y, Xia J, Wu B, She D (2018b) A combined model for river health evaluation based upon the physical, chemical, and biological elements. Ecol Indic 84:416–424. https://doi.org/10.1016/j.ecolind.2017.08.049CrossRef

Zhang X, Sheng W, Qi S (2018c) Hazards and reflection on Fangshan District extreme rainstorm of July 21, 2012, the urban mountainous region of Beijing, North China. Nat Hazards 94(3):1459–1461. https://doi.org/10.1007/s11069-018-3464-zCrossRef

Zhang Y, Arthington AH, Bunn SE, Mackay S, Xia J, Kennard M (2011) Classification of flow regimes for environmental flow assessment in regulated rivers: the Huai River basin, China. River Res Appl 28(7):989–1005. https://doi.org/10.1002/rra.1483CrossRef

Zhao Y, Zeng L, Wei Y, Liu J, Deng J, Deng Q, Tong K, Li J (2020). An indicator system for assessing the impact of human activities on river structure. J Hydrol 124547. https://doi.org/10.1016/j.jhydrol.2020.124547

Zhao YW, Yang ZF (2009) Integrative fuzzy hierarchical model for river health assessment: A case study of Yong River in Ningbo City, China. Commun Nonlinear Sci Numer Simul 14(4):1729–1736. https://doi.org/10.1016/j.cnsns.2007.09.019CrossRef

Zhao YW, Zhou LQ, Dong BQ, Dai C (2019) Health assessment for urban rivers based on the pressure, state and response framework—A case study of the Shiwuli River. Ecol Indic 99:324 331. https://doi.org/10.1016/j.ecolind.2018.12.023CrossRef

Titel: Health Assessment for Mountainous Rivers Based on Dominant Functions in the Huaijiu River, Beijing, China
verfasst von: Qingxian Kong
Zhongbao Xin
Yunjie Zhao
Lishan Ran
Xiaoping Xia
Publikationsdatum: 24.03.2022
Verlag: Springer US
Erschienen in: Environmental Management / Ausgabe 1/2022
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI: https://doi.org/10.1007/s00267-022-01620-z

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