Analysis of river flow regime changes using the indicators of hydrologic alteration (Case study: Hableroud watershed)

Document Type : Research/Original/Regular Article

Authors

1 Ph.D. Student/ Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resource, Gorgan, Iran

2 Associate Professor/ Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resource, Gorgan, Iran

3 Professor/ Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resource, Gorgan, Iran

4 Assistant Professor/ Department of Desert Management, Gorgan University of Agricultural Sciences and Natural Resource, Gorgan, Iran

5 Associate Professor/ Department of Geography, Golestan University, Gorgan, Iran

Abstract

Introduction
Hydrological regimes play a major role in changing the structure and function of ecological processes and river ecosystems. Significant changes in the hydrological regimes of river flow cause the spatial and temporal heterogeneity of river systems and the degradation of natural ecosystem services and threaten biodiversity. Trend analysis and change point detection are important topics in the analysis of hydrological time series. The study area in this research includes the upstream part of the Hablehroud river basin draining to the Bonekoh hydrometry station, located within the jurisdiction of the Tehran province. The Habaleroud river as the main drain of this watershed has recently encountered the pressures induced by human interventions and climate change, resulting in significant changes in its hydrological status.
 
Materials and Methods
In this research, using the sequential Mann-Kendall, Pettitt, Buishand Range, Buishand U, Standard Normal Homogeneity, and double mass curve tests, the significant change point in the annual discharge time series (1980–2017) of the Bonekoh hydrometry station at the outlet of the Hableroud watershed was detected. Then, using the Indicators of Hydrologic Alteration (IHA), the alterations in the hydrological condition in the period after the change point (Altered flow regime) compared to the period before the change point (the natural flow regime) were analyzed using the daily observed discharge data of the Hableroud watershed.
 
Results and Discussion
According to the research results, in the mid-1990s, a statistically significant change point in the annual discharge time series of the Bonekoh hydrometry station occurred, and most of the hydrological indicators show a deterioration in the condition of the Habaleroud watershed flow regime. Whereas for most of the hydrological indicators, after the change point, the frequency of the low values category has increased and the frequencies of the middle and high values categories, have decreased. These reductions have not only occurred for high extreme values, but also for low extreme values. In addition, the mean monthly discharge for all months of the year and the base flow of the basin have decreased. Both the frequency and duration of low-flow pulses have increased. On the contrary, both the frequency and duration of the high-flow pulses have decreased. For this reason, the frequency and magnitude of high extreme events such as medium and large floods have decreased. The long-term trend analysis indicated that 25 out of the 33 IHA have experienced a statistically significant decreasing trend. Therefore, the mean annual discharge of the watershed at the Bonekoh station has declined from 8.43 m3/s during the pre-impact period to 5.43 m3/s during the post-impact period, which is equivalent to about 35 % decline in the watershed outflow. While the watershed’s mean annual precipitation shows a negligible long-term increasing trend. Therefore, it seems that human interventions across the watershed play a major role in the hydrologic regime alteration of the watershed.
 
Conclusion
In the Benkoh hydrometric station in the mid-1990s, the hydrological regime of the basin has changed significantly. Then, using special software, the hydrological change indicators and key environmental flow indicators were analyzed in the periods before and after the change point. Unfortunately, most of the hydrological indicators show a downward trend in the Habaleroud river flow. So that the average discharge has decreased in all months of the year. Base current values are reduced. Both the frequency and duration of minimum current pulses are increased. On the contrary, both the frequency and duration of maximum current pulses are reduced. For this reason, the frequency and magnitude of extreme events such as medium and large floods have decreased. The results of the analysis of the trend of several indicators of the environmental flow also indicate the regressive course in the ecohydrological conditions of the Hableroud watershed. So that the minimum monthly flows for all months of the year show a downward trend. On the one hand, the continuity and frequency of periods of water shortage has increased, and on the other hand, the frequency of high flow pulses has decreased. The consequence of these changes will be creating tension and threatening riverside plant and animal communities that live in the flood plains of rivers and provide many ecological services. On the other hand, with the destruction of these riverside communities, the hydraulic conditions of the floodplains have changed and the vulnerability of river ecosystems and infrastructure facilities around the river increases against possible floods and causes a lot of damage. With the continuation of the existing process of managing water resources of the basin, stakeholders and beneficiaries of the basin will face many challenges in the future. Due to the fact that the average annual rainfall of Hableroud basin does not show a decreasing trend, it seems that human interventions are one of the main factors affecting the hydrological changes of this basin. Therefore, it is suggested that the main focus of management policies and measures should be focused on the management and optimization of human interventions in Hableroud watershed. In other words, instead of focusing on the top-down management approach and (hard) structural engineering measures, the focus should be on the participatory management approach and (soft) management engineering measures, and the water and soil resources of this basin should be used optimally and in accordance with the principles of sustainable development, so that at the same time Reducing the conflicts between the beneficiaries and the stakeholders upstream and downstream of the watershed (social challenges and threats) which currently occurred on a larger scale between the two provinces of Tehran and Semnan, and also preventing these conflicts from occurring on a smaller scale between the smaller communities upstream and downstream in The extension of waterways and rivers in the basin prevented the occurrence and spread of diverse environmental challenges and threats and vulnerability to natural hazards such as sudden floods and droughts. Also, it is suggested that the future changes in discharge of the studied watershed should be predicted according to the results of climate change models and land use changes, and suitable solutions should be formulated and implemented in order to deal with or adapt to these changes.

Keywords

Main Subjects


Alexandersson, H. (1986). A homogeneity test applied to precipitation data. Journal of climatology, 6(6), 661-675. doi:10.1002/joc.3370060607
Alexandersson, H., & Moberg, A. (1997). Homogenization of Swedish temperature data. Part I: Homogeneity test for linear trends. International Journal of Climatology, 17(1), 25-34. doi:10.1002/(SICI)1097-0088(199701)17:1<25::AID-JOC103>3.0.CO;2-J
Arif, S.N.A.M., Mohsin, M.F.M., Bakar, A.A., Hamdan, A.R., & Abdullah, S.M.S. (2017). Change point analysis: a statistical approach to detect potential abrupt change. Jurnal Teknologi, 79(5). doi:10.11113/jt.v79.10388
Asgari, E., Mostafazadeh, R., & Haji, K. (2019). Change point analysis of discharge time series in some hydrometric stations in Golestan Province. Journal of Environmental Science and Technology, 21(5), 81-93. doi:10.22034/jest.2018.21474.3049 [In Persian]
Beaulieu, C., Chen, J., & Sarmiento, J.L. (2012). Change-point analysis as a tool to detect abrupt climate variations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 370(1962), 1228-1249. doi:10.1098/rsta.2011.0383
Chapman, D. (1996). Water quality assessments - a guide to use of biota, sediments and water in environmental monitoring. Second Edition, Great Britain at the University Press, Cambridge, 609 pages.
Chauluka, F., Singh, S., & Kumar, R. (2021). Rainfall and streamflow trends of Thuchila River, Southern Malawi. Materials Today: Proceedings, 34, 846-855. doi:10.1016/j.matpr.2020.06.228
Croitoru, A.E., Drignei, D., Holobaca, I.H., & Dragota, C.S. (2012). Change-point analysis for serially correlated summit temperatures in the Romanian Carpathians. Theoretical and Applied Climatology, 108(1), 9-18. doi:10.1007/s00704-011-0508-7
Dingman, S. L. (2002). Water in soils: infiltration and redistribution. In: Physical Hydrology (Second ed.), Upper Saddle River, New Jersey: Prentice-Hall, Inc.
Esfandyari Darabad, F., Mostafazadeh, R., Shahmoradi, R., & Nasiri Khiavi, A. (2019). The Analysis of the changes of the hydrological flow indices affected by dam construction in Zarrinehrood and Saruqchai Rivers of West Azerbaijan Province. Hydrogeomorphology, 5(18), 57-77. doi:20.1001.1.23833254.1398.6.18.4.3 [In Persian]
Fang Sang, Y., Wang, Z., & Liu, C. (2014). Comparison of the MK test and EMD method for trend identification in hydrological time Series. Journal of Hydrology, 510, 293-298. doi:10.1016/j.jhydrol.2013.12.039
Fantin-Cruz, I., Pedrollo, O., Girard, P., Zeilhofer, P., & Hamilton, S.K. (2015). Effects of a diversion hydropower facility on the hydrological regime of the Correntes River, a tributary to the Pantanal floodplain, Brazil. Journal of Hydrology, 531, 810-820. doi:10.1016/j.jhydrol.2015.10.045
Fernández, J.A., Martínez, C., & Magdaleno, F. (2012). Application of indicators of hydrologic alterations in the designation of heavily modified water bodies in Spain. Environmental Science & Policy, 16, 31-43. doi:10.1016/j.envsci.2011.10.004
Gao, P., Mu, X.M., Wang, F., & Li, R. (2011). Changes in streamflow and sediment discharge and the response to human activities in the middle reaches of the Yellow River. Hydrology and Earth System Sciences, 15, 1–10. doi:10.5194/hess-15-1-2011, 2011
Hamed, K.H. (2007). Trend detection in hydrologic data: the Mann–Kendall trend test under the scaling hypothesis. Journal of Hydrology, 349(3-4), 350-363. doi:10.1016/j.jhydrol.2007.11.009
Huo, Z., Feng, S., Kang, S., Li, W., & Chen, S. (2008). Effect of climate changes and water-related human activities on annual stream flows of the Shiyang river basin in arid north-west China. Hydrological Processes: An International Journal, 22(16), 3155-3167. doi:10.1002/hyp.6900
IPCC, (2007). Fourth assessment report climate change. Paris. Journal of the American Statistical Association, 74, 365-367.
Kazemzadeh, M. (2015). Evaluation of climate change impacts on the hydrological characteristics of watershed, case study: Aji chai Watershed. M.Sc. Thesis, University of Tehran, 177 pages. [In Persian]
Kendall, M.G. (1948). Rank correlation methods. 4th Edition, Griffin, London.
Khapalova, E.A., Jandhyala, V.K., & Fotopoulos, S.B. (2013). Change-point analysis of annual mean precipitation for northern tropical and southern latitudes of the globe in the past century. Journal of Environmental Statistics, 4(3), 1-21.
Khosravi, G., Sadodin, A., Ownegh, M., Bahremand, A., & Mostafavi, H. (2019). Classification and identification of changes in river flow regime using the Indicators of Hydrologic Alteration (IHA) Case study: (The Khormarud River-Tilabad Watershed-Golestan Province). Iranian Journal of  Ecohydrology, 6(3), 651-671.  doi:10.22059/ije.2019.269287.982 [In Persian]
Killick, R., Eckley, I.A., Ewans, K., & Jonathan, P. (2010). Detection of changes in variance of oceanographic time-series using changepoint analysis. Ocean Engineering, 37(13), 1120-1126. doi:10.1016/j.oceaneng.2010.04.009
Liu, W., Shi, C., & Zhou, Y. (2021). Trends and attribution of runoff changes in the upper and middle reaches of the Yellow River in China. Journal of Hydro-environment Research, 37, 57-66. doi:10.1016/j.jher.2021.05.002
Mann, H.B. (1945). Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 245-259. doi:10.2307/1907187
Mo, K., Guerrero, P., Yi, L., Su, H., Wonka, P., Mitra, N., & Guibas, L.J. (2019). Structurenet: Hierarchical graph networks for 3d shape generation. arXiv preprint arXiv:1908.00575. doi:10.48550/arXiv.1908.00575
Mwedzi, T., Katiyo, L., Mugabe, F.T., Bere, T., Bangira, C., Mangadze, T., & Kupika, O.L. (2016). A spatial assessment of stream-flow characteristics and hydrologic alterations, post dam construction in the Manyame catchment, Zimbabwe. Water SA, 42(2), 194-202. doi:10.4314/wsa.v42i2.03
Naderi, M.H., Zakerinia, M., & Salarijazi, M. (2019). Investigation of ecohydraulic indices in environmental flow regime and Habitat suitability simulation analysis using River2D Model with relying on the restoration ecological in zarrin-gol river. Iranian Journal of Ecohydrology, 6(1), 205-222.  doi:10.22059/ije.2019.266895.962 [In Persian]
Nasiri Khiavi, A., Mostafazadeh, R., Esmali Ouri, A., Ghafarzadeh, O., & Golshan, M. (2019). Alteration of hydrologic flow indicators in Ardabil Balikhlouchai River under combined effects of change in climatic variables and Yamchi Dam construction using Range of Variability Approach. Watershed Engineering and Management, 11(4), 851-865. doi:10.22092/ijwmse.2018.116873.1413 [In Persian]
Papadaki, C., Soulis, K., Muñoz-Mas, R., Martinez-Capel, F., Zogaris, S., Ntoanidis, L., & Dimitriou, E. (2016). Potential impacts of climate change on flow regime and fish habitat in mountain rivers of the south-western Balkans. Science of the Total Environment, 540, 418-428. doi:10.1016/j.scitotenv.2015.06.134
Pettitt, A.N. (1979). A non-parametric approach to the change‐point problem. Journal of the Royal Statistical Society: Series C (Applied Statistics), 28(2), 126-135. doi:10.2307/2346729
Richter, B.D., Baumgartner, J.V., Powell, J., & Braun, D.P. (1996). A method for assessing hydrologic alteration within ecosystems. Conservation Biology, 10(4), 1163-1174.
Richter, B., Baumgartner, J., Wigington, R., & Braun, D. (1997). How much water does a river need?. Freshwater Biology, 37(1), 231-249. doi:10.1046/j.1365-2427.1997.00153.x
Salehi, S., Dehghani, M., Mortazavi, S.M., & Singh, V.P. (2020). Trend analysis and change point detection of seasonal and annual precipitation in Iran. International Journal of Climatology, 40(1), 308-323. doi:10.1002/joc.6211
Sheikh, V., Babaei, A., & Mooshakhian, Y. (2009). Trend analysis of precipitation regime in the Gorganroud basin. Iranian Journal of Watershed Management Science and Engineering3(8), 29-38. [In Persian]
Sheikh, V., Hezbi, A.J., & Bahremand, A.R. (2014). Distributed and dynamic modeling of the water balance of ChelChai watershed in the geographic information system environment. Watershed Management Research, 12, 29-42. [In Persian]
Sheikh, V., Zare Garizi, A., Alvandi, E., Asadi Nelivan, O., Khosravi, G., Saaduddin, A., & Ong, M. (2018). Collaborative location of proposed solutions to manage the Hablehroud watershed. Watershed Research, 32(4), 2-18. doi:10.22092/wmej.2019.125497.1194 [In Persian]
Shirvani, A. (2017). Change point detection of the Persian Gulf sea surface temperature. Theoretical and Applied Climatology, 127(1), 123-127. doi:10.1007/s00704-015-1625-5
Sneyres, R. (1990). Technical note no. 143 on the statistical Analysis of Time Series of Observation. World Meteorological Organisation, Geneva, Switzerland.
Su, L., Miao, C., Kong, D., Duan, Q., Lei, X., Hou, Q., & Li, H. (2018). Long-term trends in global river flow and the causal relationships between river flow and ocean signals. Journal of Hydrology, 563, 818-833. doi:10.1016/j.jhydrol.2018.06.058
Wang, S., McVicar, T.R., Zhang, Z., Brunner, T., & Strauss, P. (2020). Globally partitioning the simultaneous impacts of climate-induced and human-induced changes on catchment streamflow: A review and meta-analysis. Journal of Hydrology, 590, 125387. doi:10.1016/j.jhydrol.2020.125387
Wei, X., & Zhang, M. (2010). Quantifying streamflow change caused by forest disturbance at a large spatial scale: A single watershed study. Water Resources Research, 46(12). doi:10.1029/2010WR009250
Wong, H., Hu, B.Q., Ip, W.C., & Xia, J. (2006). Change-point analysis of hydrological time series using grey relational method. Journal of Hydrology, 324(1-4), 323-338. doi:10.1016/j.jhydrol.2005.10.007
Xiong, L., & Guo, S. (2004). Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station/Test de tendance et détection de rupture appliqués aux séries de débit annuel du fleuve Yangtze à la station hydrologique de Yichang. Hydrological Sciences Journal, 49(1), 99-112. doi:10.1623/hysj.49.1.99.53998
Xu, M., Wang, G., Wang, Z., Hu, H., Singh, D.K., & Tian, S. (2022). Temporal and spatial hydrological variations of the Yellow River in the past 60 years. Journal of Hydrology, 609, 127750. doi:10.1016/j.jhydrol.2022.127750
Yang, T., Zhang, Q., Chen, Y.D., Tao, X., Xu, C. Y., & Chen, X. (2008). A spatial assessment of hydrologic alteration caused by dam construction in the middle and lower Yellow River, China. Hydrological Processes: An International Journal, 22(18), 3829-3843. doi:10.1002/hyp.6993