Flow–duration curve integration into digital filtering algorithms for simulating climate variability based on river baseflow

References

• Al-Faraj, F. and Scholz, M., 2014. Incorporation of the flow duration curve method within digital filtering algorithms to estimate the baseflow contribution to total runoff. Water Resources Management, 28 (15), 5477–5489. doi:10.1007/s11269-014-0816-7
   Web of Science ®Google Scholar
• Al-Faraj, F., Scholz, M., and Tigkas, D., 2014. Sensitivity of surface runoff to drought and climate change: application for Shared River Basins. Water, 6, 3033–3048. doi:10.3390/w6103033
   Web of Science ®Google Scholar
• Allen, R.G., et al., 1998. Crop evapotranspiration: guidelines for computing crop water requirements. Rome, Italy: Food and Agriculture Organization of the United Nations, FAO Irrigation and Drainage Paper 56.
   Google Scholar
• Arnold, J.G. and Allen, P.M., 1999. Validation of automated methods for estimating baseflow and groundwater recharge from stream flow records. Journal of the American Water Resources Association, 35 (2), 411–424. doi:10.1111/j.1752-1688.1999.tb03599.x
   Web of Science ®Google Scholar
• Brodie, R.S. and Hostetler, S., 2005. A review of techniques for analyzing base-flow from stream hydrographs. Proceedings of the NZHSIAH-NZSSS 2005 Conference, 28 November–2 December 2005, Auckland, New Zealand. Available from: http://data.daff.gov.au/data/warehouse/brsShop/data/iah05_dry-weather_final.pdf. [Accessed 11 June 2018].
   Google Scholar
• Chapman, T., 1999. A comparison of algorithms for streamflow recession and baseflow separation. Hydrological Processes, 13 (5), 701–714. doi:10.1002/(SICI)1099-1085(19990415)13:5<701::AID-HYP774>3.0.CO;2-2
   Web of Science ®Google Scholar
• Eckhardt, K., 2005. How to construct recursive digital filters for baseflow separation. Hydrological Processes, 19, 507–515. doi:10.1002/hyp.5675
   Web of Science ®Google Scholar
• Fadhil, M.A., 2011. Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. International Journal of Digital Earth, 4 (3), 239–257. doi:10.1080/17538947.2010.489971
   Web of Science ®Google Scholar
• Fan, Y., et al., 2013. Variation of baseflows in the headstreams of the Tarim River Basin during 1960–2007. Journal of Hydrology, 487, 98–108. doi:10.1016/j.jhydrol.2013.02.037
   Web of Science ®Google Scholar
• FAO (Food and Agriculture Organization of the UN). 2012. Adaptation to climate change in semi-arid environments. Experience and lessons from mozambique. Environment and natural resources management series. Rome, Italy: Food and Agriculture Organization of the United Nations, 1–83, Retrieved from, http://www.fao.org/docrep/015/i2581e/i2581e00.pdf
   Google Scholar
• Foehn, A., et al., 2016. RS MINERVE – user’s manual v2.6. Switzerland: RS MINERVE Group.
   Google Scholar
• GADM (Global Administrative Areas Database), 2012. Boundaries without limits [online]. Available from http://www.gadm.org. [Accessed 11 June 2018].
   Google Scholar
• GLCF (Global and Land Cover Facility), 2015. Earth science data interface [online]. Available from: http://www.landcover.org/data/srtm/. [Accessed 11 June 2018].
   Google Scholar
• Gordon, N.C., et al., 2004. Stream hydrology: an introduction for ecologists. 2nd ed. Chichester: John Wiley and Sons.
   Google Scholar
• He, S., et al., 2016. Baseflow separation based on a meteorology-corrected nonlinear reservoir algorithm in a typical rainy agricultural watershed. Journal of Hydrology, 535, 418–428. doi:10.1016/j.jhydrol.2016.02.010
   Web of Science ®Google Scholar
• HydroOffice, 2015. Download [online]. Available from: https://hydrooffice.org/Downloads?Items=Software. [Accessed 11 June 2018].
   Google Scholar
• Information Technology Services (ITS), 2016. IBM SPSS statistics 23 Part 3: regression analysis. Winter 2016, Version 1.
   Google Scholar
• Kaleris, V. and Langousis, A., 2017. Comparison of two rainfall-runoff models: effects of conceptualization, model calibration and parameter variability. Hydrological Sciences Journal, 62 (5), 729–748. doi:10.1080/02626667.2016.1250899
   Web of Science ®Google Scholar
• Lim, K.J., et al., 2005. Automated web GIS based hydrograph analysis tool, WHAT. Journal of the American Water Resources Association, 41 (6), 1407–1416. doi:10.1111/j.1752-1688.2005.tb03808.x
   Web of Science ®Google Scholar
• Linsley, R.K., Kohler, M.A., and Paulhus, J.L.H., 1988. Hydrology for engineers. London: McGraw-Hill.
   Google Scholar
• Lott, D.A. and Stewart, M.T., 2016. Baseflow separation: A comparison of analytical and mass balance methods. Journal of Hydrology, 535, 525–533. doi:10.1016/j.jhydrol.2016.01.063
   Web of Science ®Google Scholar
• Lu, S., et al., 2015. Quantifying impacts of climate variability and human activities on the hydrological system of the haihe river basin, China. Hydrology and Earth System Sciences, 73, 1491–1503. doi:10.1007/s12665-014-3499-8
   Web of Science ®Google Scholar
• Mei, Y. and Anagnostou, E.N., 2015. A hydrograph separation method based on information from rainfall and runoff records. Journal of Hydrology, 523, 636–649. doi:10.1016/j.jhydrol.2015.01.083
   Web of Science ®Google Scholar
• Miller, M.P., et al., 2016. The importance of baseflow in sustaining surface water flow in the upper colorado river basin. Water Resources Research, 52, 3547–3562. doi:10.1002/2015WR017963
   Web of Science ®Google Scholar
• Mohammed, R. and Scholz, M., 2016. Impact of climate variability and streamflow alteration on groundwater contribution to the baseflow of the Lower Zab River (Iran and Iraq). Environmental Earth Sciences, 75 (1392), 1–11. doi:10.1007/s12665-016-6205-1
   Web of Science ®Google Scholar
• Mohammed, R. and Scholz, M., 2017a. The reconnaissance drought index: a method for detecting regional arid climatic variability and potential drought risk. Journal of Arid Environment, 144, 181–191. doi:10.1016/j.jaridenv.2017.03.014
   Web of Science ®Google Scholar
• Mohammed, R. and Scholz, M., 2017b. Adaptation strategy to mitigate the impact of climate change on water resources in arid and semi-arid regions: a case study. Water Resources Management, 31 (11), 3557–3573. doi:10.1007/s11269-017-1685-7
   Web of Science ®Google Scholar
• Mohammed, R. and Scholz, M., 2017c. Impact of evapotranspiration formulations at various elevations on the reconnaissance drought index. Water Resources Management, 31, 531–538. doi:10.1007/s11269-016-1546-9
   Web of Science ®Google Scholar
• Mohammed, R. and Scholz, M., 2018. Climate change and anthropogenic intervention impact on the hydrologic anomalies in a semi-arid area: lower Zab River Basin, Iraq. Environmental Earth Sciences, 77 (10), 357. doi:10.1007/s12665-018-7537-9
   Web of Science ®Google Scholar
• Mohammed, R., et al., 2018. Assessment of models predicting anthropogenic interventions and climate variability on surface runoff of the Lower Zab River. Stochastic Environmental Research and Risk Assessment, 32 (1), 223–240. doi:10.1007/s00477-016-1375-7
   Web of Science ®Google Scholar
• Mohammed, R., Scholz, M., and Zounemat-Kermani, M., 2017b. Temporal hydrologic alterations coupled with climate variability and drought for transboundary river basins. Water Resources Management, 31, 1489–1502. doi:10.1007/s11269-017-1590-0
   Web of Science ®Google Scholar
• Mulder, G., et al., 2015. Identifying water mass depletion in northern Iraq observed by GRACE. Hydrology and Earth System Sciences, 19, 1487–1500. doi:10.5194/hess-19-1487-2015
   Web of Science ®Google Scholar
• Nathan, R.J. and McMahon, T.A., 1990. Evaluation of automated techniques for baseflow and recession analysis. Water Resources Research, 26, 1465–1473. doi:10.1029/WR026i007p01465
   Web of Science ®Google Scholar
• The Nature Conservancy, 2009. Indicators of hydrologic alteration version 7.1 user’s manual. The Nature Conservancy, June, 76.
   Google Scholar
• Partington, D., et al., 2012. Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model. Journal of Hydrology, 458–459, 28–39. doi:10.1016/j.jhydrol.2012.06.029
   Web of Science ®Google Scholar
• Piggott, A.R., Moin, S., and Southam, C., 2005. A revised approach to the UKIH method for the calculation of baseflow/Une approche améliorée de la méthode de l’UKIH pour le calcul de l’écoulement de base. Hydrological Sciences Journal, 50, 911–920. doi:10.1623/hysj.2005.50.5.911
   Web of Science ®Google Scholar
• Price, K., 2011. Effects of watershed topography, soils, land use, and climate on baseflow hydrology in humid regions: a review. Progress in Physical Geography, 35 (4), 465–492. doi:10.1177/0309133311402714
   Web of Science ®Google Scholar
• Reis, J., et al., 2016. Evaluating the impact and uncertainty of reservoir operation for malaria control as the climate changes in Ethiopia. Climatic Change, 136, 601–614. doi:10.1007/s10584-016-1639-8
   Web of Science ®Google Scholar
• Robaa, S.M. and AL-Barazanji, Z.J., 2013. Trends of annual mean surface air temperature over Iraq. Nature and Science, 11 (12), 138–145.
   Google Scholar
• RS MINERVE 2.5 software, 2016. Download [online]. Available from: https://www.crealp.ch/down/rsm/install2/archives.html. [Accessed 11 June 2018].
   Google Scholar
• Rumsey, C.A., et al., 2015. Regional scale estimates of baseflow and factors influencing baseflow in the upper colorado river basin. Journal of Hydrology: Regional Studies, 4 (2015), 91–107. doi:10.1016/j.ejrh.2015.04.008
   Google Scholar
• Smakhtin, V.U., 2001. Low flow hydrology: a review. Journal of Hydrology, 240 (3–4), 147–186. doi:10.1016/S0022-1694(00)00340-1
   Web of Science ®Google Scholar
• Soundharajan, B.S., Adeloye, A.J., and Remesan, R., 2016. Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment. Journal of Hydrology, 538, 625–639. doi:10.1016/j.jhydrol.2016.04.051
   Web of Science ®Google Scholar
• Stewart, M.K., 2015. Promising new baseflow separation and recession analysis methods applied to streamflow at Glendhu Catchment, New Zealand. Hydrology and Earth System Sciences, 19 (6), 2587–2603. doi:10.5194/hess-19-2587–2015
   Web of Science ®Google Scholar
• Tabari, H. and Taalaee, P.H., 2011. Analysis of trend in temperature data in arid and semi-arid regions of Iran. ISSN: 0921-8181. Global and Planetary Change, 72, 1–10. doi:10.1016/j.gloplacha.2011.07.008
   Web of Science ®Google Scholar
• Tallaksen, L.M. and Van Lanen, H.A., 2004. Hydrological drought – processes and estimation methods for streamflow and groundwater. Developments in Water Sciences 48. Amsterdam: Elsevier.
   Google Scholar
• Tigkas, D., 2008. Drought characterisation and monitoring in regions of Greece. European Water, 23, 29–39.
   Google Scholar
• Tigkas, D., Vangelis, H., and Tsakiris, G., 2012. Drought and climatic change impact on streamflow in small watersheds. ISSN: 0048-9697. Science of the Total Environment, 440, 33–41. doi:10.1016/j.scitotenv.2012.08.035
   PubMed Web of Science ®Google Scholar
• Tsakiris, G. and Vangelis, H., 2005. Establishing a drought index incorporation evapotranspiration. European Water, 9, 3–11.
   Google Scholar
• UNESCO, 2014. United nations educational, scientific and cultural organization. Integrated drought risk management-DRM national framework for Iraq. An analysis report. Available from: http://unesdoc.unesco.org/images/0022/002283/228343E.pdf UN-ESCWA and BGR (United Nations Economic and Social Commission for Western Asia; Bundesanstalt für Geowissenschaften und Rohstoffe, Inventory of Shared Water Resources in Western Asia, Beirut.
   Google Scholar
• Vangelis, H., Tigkas, D., and Tsakiris, G., 2013. The effect of PET method on reconnaissance drought index (RDI) calculation. Journal of Arid Environment, 88, 130–140. doi:10.1016/j.jaridenv.2012.07.020
   Web of Science ®Google Scholar
• Wan, L., et al., 2015. Decadal climate variability and vulnerability of water resources in arid regions of Northwest China. Environmental Earth Sciences, 73, 6539–6552. doi:10.1007/s12665-014-3874-5
   Web of Science ®Google Scholar
• Welderufael, W. and Woyessa, Y., 2010. Stream flow analysis and comparison of methods for baseflow separation: case study of the modder river basin in central South Africa. European Water, 8 (2), 107–119.
   Google Scholar
• WMO (World Meteorological Organization), 2009. Manual of low-flow estimation and prediction, operational hydrology report no. 50. Geneva, Switzerland: World Meteorological Organization, WMO Report no. 1029.
   Google Scholar
• Yang, T., et al., 2008. A spatial assessment of hydrologic alteration caused by dam construction in the middle and lower yellow river, China. Hydrological Processes, 22 (18), 3829–3843. doi:10.1002/hyp.6993
   Web of Science ®Google Scholar
• Yoo, C., 2006. Long term analysis of wet and dry years in Seoul, Korea. Journal of Hydrology, 318 (1–4), 24–36. doi:10.1016/j.jhydrol.2005.06.002
   Web of Science ®Google Scholar