Drought Scenario Analysis Using RiverWare: A Case Study in Urumqi River Basin, China
Downloads
In this study, we applied RiverWare modeling approach to evaluate the management decisions on surface water and groundwater diversions in the agricultural watershed of the Urumqi River Basin of Xinjiang in Northwestern China. A rule-based daily time step RiverWare model was developed to simulate the hydrologic effects of different water management alternatives considering irrigation and drainage systems, crop water use, and diversion rules at the diversion dams within the basin. Daily data period from 2005 to 2009 was used to calibrate the model and 2010-2012 was used to validate the model. A calibrated daily RiverWare model was then used to evaluate the management decisions under different drought scenarios that generated by using the snowmelt runoff model (SRM) that developed to simulate inflow from upstream of Yingxiongqiao gaging station. Two drought scenarios (reduced precipitation and increased temperature) analysis were performed, and the corresponding hydrological variables were compared to the baseline scenario. The results indicated that the model adequately reproduced the historical inflows for the Wulabo Reservoir. The scenario analysis results suggest that the reduced precipitation led to increased groundwater pumping for irrigation both in the spring and summer. The increased temperature induces a significant increase in surface runoff in the basin and leads to increased crop water demand within the irrigation district, and however does not necessarily reduce the groundwater pumpage. Water operation policies from RiverWare provide guidelines for conjunctive use of groundwater and surface water resources within the basin under different water supply scenarios in the future.
Downloads
[2] Saydi, Muattar, Shalamu Abudu, C. Cui, and Mailiyamu Basite. "Hydrological characteristics of typical watersheds in North Tianshan." J. China Hydrol 33, no. 2 (2013): 87-92.
[3] Ma, Hong, and Guodong Cheng. "A test of Snowmelt Runoff Model (SRM) for the Gongnaisi River basin in the western Tianshan Mountains, China." Chinese Science Bulletin 48, no. 20 (2003): 2253-2259.
[4] Congjian, Sun, Chen Yaning, Li Weihong, Li Xingong, and Yang Yuhui. "Isotopic time series partitioning of streamflow components under regional climate change in the Urumqi River, northwest China." Hydrological Sciences Journal 61, no. 8 (2016): 1443-1459.
[5] Foster, S., F. Van Steenbergen, J. Zuleta, and H. Garduno. "Conjunctive use of groundwater and surface water: from spontaneous coping strategy to adaptive resource management." GW-MATE strategic overview series 2 (2010): 26.
[6] McCallum, Andrew M., Martin S. Andersen, and R. Ian Acworth. "A New Method for Estimating Recharge to Unconfined Aquifers Using Differential River Gauging.” Groundwater 52, no. 2 (April 2, 2013): 291–297. doi:10.1111/gwat.12046.
[7] Siebert, S., J. Burke, J. M. Faures, K. Frenken, J. Hoogeveen, P. Döll, and F. T. Portmann. "Groundwater Use for Irrigation – a Global Inventory.” Hydrology and Earth System Sciences 14, no. 10 (October 12, 2010): 1863–1880. doi:10.5194/hess-14-1863-2010.
[8] Rassam, David W., Luk Peeters, Trevor Pickett, Ian Jolly, and Linda Holz. "Accounting for Surface–groundwater Interactions and Their Uncertainty in River and Groundwater Models: A Case Study in the Namoi River, Australia.” Environmental Modelling & Software 50 (December 2013): 108–119. doi:10.1016/j.envsoft.2013.09.004.
[9] Wu, Xin, Yi Zheng, Bin Wu, Yong Tian, Feng Han, and Chunmiao Zheng. "Optimizing conjunctive use of surface water and groundwater for irrigation to address human-nature water conflicts: A surrogate modeling approach." Agricultural Water Management 163 (2016): 380-392.
[10] Bailey, Ryan T., Tyler C. Wible, Mazdak Arabi, Rosemary M. Records, and Jeffrey Ditty. "Assessing regional-scale- spatiotemporal patterns of groundwater–surface water interactions using a coupled SWAT"MODFLOW model." Hydrological processes 30, no. 23 (2016): 4420-4433.
[11] Kalbus, E., F. Reinstorf, and M. Schirmer. "Measuring Methods for Groundwater, Surface Water and Their Interactions: a Review.” Hydrology and Earth System Sciences Discussions 3, no. 4 (July 21, 2006): 1809–1850. doi:10.5194/hessd-3-1809-2006.
[12] Sophocleous, Marios. "Interactions between Groundwater and Surface Water: The State of the Science.” Hydrogeology Journal 10, no. 2 (April 1, 2002): 348–348. doi:10.1007/s10040-002-0204-x.
[13] Sokrut, Nikolaj. "A distributed coupled model of surface and subsurface dynamics as a tool for catchment management." PhD diss., Institutionen för anläggning och miljö, 2001.
[14] Markstrom, Steven L., Richard G. Niswonger, R. Steven Regan, David E. Prudic, and Paul M. Barlow. "GSFLOW-Coupled Ground-water and Surface-water FLOW model based on the integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005)." US Geological Survey techniques and methods 6 (2008): 240.
[15] Kim, Nam Won, Il Moon Chung, Yoo Seung Won, and Jeffrey G. Arnold. "Development and Application of the Integrated SWAT–MODFLOW Model.” Journal of Hydrology 356, no. 1–2 (July 2008): 1–16. doi:10.1016/j.jhydrol.2008.02.024.
[16] Tian, Yong, Yi Zheng, Bin Wu, Xin Wu, Jie Liu, and Chunmiao Zheng. "Modeling Surface Water-Groundwater Interaction in Arid and Semi-Arid Regions with Intensive Agriculture.” Environmental Modelling & Software 63 (January 2015): 170–184. doi:10.1016/j.envsoft.2014.10.011.
[17] Magee, Tim, Donald Frevert, Jerry Cotter, Edith Zagona, Terrance Fulp, and H Morgan Goranflo. "RiverWare.” Watershed Models (September 28, 2005): 527–547. doi:10.1201/9781420037432.ch21.
[18] Abudu, Shalamu, J. Phillip King, and Z. Sheng. "Modeling Surface and Groundwater Interaction in Rincon Valley, New Mexico Using RiverWare Groundwater Objects.” Proceedings of the 35th International Association for Hydro-Environment Engineering and Research World Congress, September 8-13, 2013, Chengdu, China.
[19] Abudu, Shalamu, S. R. Ahn, and Z. Sheng. "Modeling Dissolved Solids in the Rincon Valley, New Mexico Using RiverWare." In AGU Fall Meeting Abstracts. 2017.
[20] Abudu, Shalamu, Zhu-ping Sheng, Chun-liang Cui, Muatter Saydi, Hamed-Zamani Sabzi, and James Phillip King. "Integration of Aspect and Slope in Snowmelt Runoff Modeling in a Mountain Watershed.” Water Science and Engineering 9, no. 4 (October 2016): 265–273. doi:10.1016/j.wse.2016.07.002.
[21] Abudu, Shalamu, Chun-liang Cui, Muattar Saydi, and James Phillip King. "Application of snowmelt runoff model (SRM) in mountainous watersheds: A review." Water Science and Engineering 5, no. 2 (2012): 123-136.
[22] Abudu, Shalamu, Chun-liang Cui, James Phillip King, and Kaiser Abudukadeer. "Comparison of performance of statistical models in forecasting monthly streamflow of Kizil River, China." Water Science and Engineering 3, no. 3 (2010): 269-281.
[23] Gong, L., H. F. Zhang, and X. Xie. "Studies on change of urbanization and its simulation and forecast in Urumqi during the past 20 years." Journal of Arid Land Resources and Environment 23, no. 5 (2009): 185-208.
[24] Zhou, Yangxiao, Johannes C. Nonner, S. Meekes, J. Griffieon, Zhongbo Su, W. Li, A. Hao et al. Strategies and techniques for groundwater resources development in Northwest China. China Land Press, 2007.
[25] George H. Hargreaves, and Zohrab A. Samani. "Reference Crop Evapotranspiration from Temperature.” Applied Engineering in Agriculture 1, no. 2 (1985): 96–99. doi:10.13031/2013.26773.
[26] Allen, Richard G., Luis S. Pereira, Dirk Raes, and Martin Smith. "Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56." Fao, Rome 300, no. 9 (1998): D05109.
[27] Nash, J.E., and J.V. Sutcliffe. "River Flow Forecasting through Conceptual Models Part I ” A Discussion of Principles.” Journal of Hydrology 10, no. 3 (April 1970): 282–290. doi:10.1016/0022-1694(70)90255-6.
- Authors retain all copyrights. It is noticeable that authors will not be forced to sign any copyright transfer agreements.
- This work (including HTML and PDF Files) is licensed under a Creative Commons Attribution 4.0 International License.
