Burek, P.

Langan, S.

Strokal, M.

Tang, T.

Wada, Y.

International Institute for Applied Systems Analysis (IIASA)

European Geosciences Union General Assembly 2018Vienna | Austria | 8-13 April 2018European Geosciences Union General Assembly 2018Vienna | Austria | 8-13 April 2018Challenges to current global WQ modeling call for enhancements of global WQMs. Strong spatiotemporal variability of biogeochemical processes v.s. coarse resolution of global WQMs Interdependence of pollutant processes & env. effects v.s. uncoupled modeling of different pollutants Risks of complex global WQMs with insufficient data to drive and/or validate the modelsBridging global and basin scale water quality modeling towardsenhancing global water quality modeling and managementTing Tang1,*, Yoshihide Wada1,2,3, Maryna Strokal4, Peter Burek1, and Simon Langan11International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 2Department of Physical Geography, Utrecht University, Utrecht, Netherlands; 3NASA Goddard Institute for Space Studies, New York, USA; 4Water Systems and Global Change group, Wageningen University & Research, Wageningen, Netherlands Basin/field scale water quality (WQ) models for a wide range of pollutants have been actively developed over the past few decades and widely used for a variety of purposes. Global water quality models (WQMs), such as Global-NEWS-21, are increasingly used to gain unique insight into the state and trend of WQ issues under global climate and socio-economic changes. A scale‐independent WQM currently does not exist, but linking WQM of different spatial scales can help to address water quality issues across different scales.  In this work, we argue that WQMs of different spatial scales should be better linked and support each other to ensure effective WQ management and further development of global WQMs. Two directions are proposed to improve the linkages of WQ modeling across different spatial scales: multiscale WQ modeling towards enhanced WQ and water resource management, and refinement and enhancement of global WQ models using smaller-scale mechanistic understanding.MotivationExample of dissolved inorganic nitrogen (DIN) transport into surface water Context-specific basin-scale WQ management benefits from global WQMs to identify regions of concerns and requires local implementation of mitigation and/or prevention measures.  Such an integrated manner of management strategy requires close collaborations among modelers of different spatial scales.Proposed framework to bridge WQMs of different spatial scalesMultiscale WQ modeling towards enhanced WQ managementEnhancement of global WQMsReferences1 Mayorga, E., Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H. W., Bouwman, A. F., … Van Drecht, G. (2010). Global Nutrient Export from WaterSheds 2 (NEWS 2): Model development and implementation. Environmental Modelling and Software, 25(7), 837–853. 2 Neitsch, S., Arnold, J., Kiniry, J., Williams, J.R. (2011). Soil and water assessment tool: theoretical documentation, version 2009. USDA-ARS Grassland, Soil and Water Research Service, Temple, TX.3 Gassman, P., Williams, J., Wang, X., Saleh, A., Osei, E., Hauck, L. M., … Flowers, J. D. (2010). The Agricultural Policy Environmental Extender (APEX) model: An emerging tool for landscape and watershed environmental analyses. Transactions of the ASABE, 53(3), 711–740. 4 Abrahamsen, P., & Hansen, S. (2000). Daisy: an open soil-crop-atmosphere system model. Environmental Modelling & Software, 15(2000), 313–330.5 Tang, T., (2012) Modeling on Pesticide Transport into Surface Water and its Ecotoxicological Risk Assessment for a Tile-drained River Basin. Msc Thesis, UNESCO-IHE Institute for Water Education.6 Hoang, L., van Griensven, A., & Mynett, A. (2017). Enhancing the SWAT model for simulating denitrification in riparian zones at the river basin scale. Environmental Modelling & Software, 93, 163-179.*Contact: tangt@iiasa.ac.atWater Program, IIASAhttp://www.iiasa.ac.at/Global Basin Field/LocalIdentify global hotspots and source apportionmentRegional policy-making to addressregions, basins &pollution sources of concernAssist in designing long-term basin management plans, considering climate and socio-economic changes:• Identify critical source area and critical transport pathways• Project future changes and evaluate potential preventive strategiesLocal actions inresponse to basin management plansLegendg_basin'2000$'.c0DINyld0 - 5051 - 100110 - 150160 - 200210 - 250260 - 300310 - 350360 - 400410 - 450460 - 500510 - 550560 - 600610 - 650660 - 700710 - 750760 - 800810 - 850860 - 900910 - 950960 - 1,0001,100 - 1,1001,200 - 1,1001,200 - 1,2001,300 - 1,2001,300 - 1,3001,400 - 1,3001,400 - 1,4001,500 - 1,4001,500 - 1,5001,600 - 1,5001,600 - 1,6001,700 - 1,6001,700 - 1,7001,800 - 1,7001,800 - 1,8001,900 - 1,8001,900 - 1,9002,000 - 1,9002,000 - 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8,9009,000 - 9,0009,100 - 9,0009,100 - 9,1009,200 - 9,1009,200 - 9,2009,3  - 9,2,3  - 9,3,4  - ,3,4  - ,4,5  - ,4,5  - ,5,6   ,56 67 67 78 78 89 89 910, 0 - 9,9 010, 0 - 10, 0011, 0 - 10, 0011, 0 - 10, 0011, 0 - 10, 0011, 0 - 10, 0011, 0 - 10, 001,  - 10, 0,  - ,,  - ,,  - ,,  - ,11 000 1 0001 000 1 000,   ,,  - ,,  - ,,  - ,12,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 11,00012,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,00013,000 - 12,0000 – 505  - 1000  - 150151 – 2 0201 - 250251 - 300301 - 450451 - 650> 650DIN yields (kg km-2 year-1)Fertilizer applicationsManure applicationsSewage effluents Fixation over natural areasDeposition over natural areasFixation over agricultural areasAdapted from Mayorga et al. (20101)Evaluate management measures: • Buffer strips• Application timing/rate control• Alternative tillage practices• Infrastructural development for grey/black water treatment • Alternative manure management measures among othersTang et al. (20125)NO3- fluxes (ton/year) to stream by SWAT6Surface runoff 17Lateral flow 1Tile flow 1302base flow 575Mechanistic representation in basin-scale dynamic WQMsGlobalBasinField/LocalEmpirical/statistical/mechanistic methods, e.g., Loadout = RF *Loadin› RF = Constant› RF = f(HRT, Qin, OCsediment, T, pH, etc.) › Direct inclusion of basin-scale methods for the dominant processesFurther simplified representation Riparian wetlands efficiently remove nutrients and pesticides primarily through sediment trapping, plant uptake and denitrification, but with strong temporal variabilities.• Dominant processes in riparian wetlands at spatiotemporal scales relevant for global WQMs• Critical geophysical parametersinfluencing the removal ratesIncluding processes gaining importance with increasing spatial coverage, e.g., atmospheric deposition of volatile pesticidesHoang et al. (20176)Regional policy-makingIntegrated river basin management plans (long-term strategic decision-making)Implementation of localmanagement measuresRefiningcritical processes in global WQ models Identifying critical processes and pollution sourcesUnderstanding fundamental  processes and mechanismsIdentify hotspotsand trendsUnderstand mechanismsAssessmanagementplansRepresentative modeling purposesMultiscale modeling for WQ managementMultiscale model linking toward refining global WQ modelsSpatial coverageExample modelsGlobalBasinField/LocalGlobal-NEWS-2 1SWAT 2DAISY 4APEX 3

Bridging global and basin scale water quality modeling towards enhancing global water quality modeling and management

http://pure.iiasa.ac.at/id/eprint/15523/1/Bridging%20WQ%20modeling_v2a.pdf

Bridging global and basin scale water quality modeling towards enhancing global water quality modeling and management

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