GIS Visual Simulation System of WaSSI-C Model: Design, Implementation and Verification

QIU Qin, SUN Wei, LI Jian-gui, GULIMILA Kezierbieke, CAO Shan-shan

Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (3) : 143-150.

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (3) : 143-150. DOI: 10.11988/ckyyb.20201210

GIS Visual Simulation System of WaSSI-C Model: Design, Implementation and Verification

  • QIU Qin1, SUN Wei1,2, LI Jian-gui2, GULIMILA Kezierbieke3, CAO Shan-shan2
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Abstract

The aim of this research is to implement the GIS visual simulation system of WaSSI-C (Water Supply Stress Index-C) model to provide model tools for regional hydro-carbon resource analysis and simulation decisions. On the basis of analyzing the theoretical framework and operation mechanism of WaSSI-C model, modular decomposition and structured design of model calculation process were carried out; software architecture was constructed by C/S mode, model diagram was designed based on spatiotemporal data model E-R, and model parameters and spatiotemporal data were managed jointly by Geodatabase spatial database and SQLite relational database. In the .Net development environment, based on the ArcGIS Engine secondary development components,hybrid programming was carried out using the C# language to realize the function of the WaSSI-C model's GIS visual simulation system. The system was applied to Yanqi Basin for verification. Results manifest that the system can automatically output the simulation map of water-carbon coupling process variables such as monthly scale evapotranspiration, runoff and total ecosystem productivity in the GIS visualization environment. The system is simple, easy to use, highly efficient and universal. The mean values of determination coefficient R2 and efficiency coefficient NS of system simulation results in calibration period are 0.83 and 0.81, respectively, and 0.8 and 0.76 in verification period. The system could serve as a powerful tool support for the research of related fields, and also offer reference for the study of model visualization in ecology and hydrology.

Key words

dynamic cycling of water-carbon resources / WaSSI-C model / visualization / component GIS / space-time simulation / modularization

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QIU Qin, SUN Wei, LI Jian-gui, GULIMILA Kezierbieke, CAO Shan-shan. GIS Visual Simulation System of WaSSI-C Model: Design, Implementation and Verification[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(3): 143-150 https://doi.org/10.11988/ckyyb.20201210

References

[1] 于贵瑞,王秋凤,于振良.陆地生态系统水-碳耦合循环与过程管理研究[J].地球科学进展,2004,19(5): 831-839.
[2] 郭明春,王彦辉,于澎涛.森林水文学研究述评[J].世界林业研究,2005, 18(3): 6-11.
[3] SANTHI C, SRINIVASAN R, ARNOLD J G, et al. A Modeling Approach to Evaluate the Impacts of Water Quality Management Plans Implemented in a Watershed in Texas[J]. Environmental Modelling & Software, 2006, 21(8): 1141-1157.
[4] ARNOLD J G, FOHRER N. SWAT 2000: Current Capabilitities and Research Opportunities in Applied Watershed Modeling[J]. Hydrological Processes, 2005, 19(3): 563-572.
[5] LIANG X, LETTENMAIER D P, WOOD E F, et al. One-dimensional Statistical Dynamic Representation of Subgrid Spatial Variability of Precipitation in the Two-layer Variable Infiltration Capacity Model[J]. Journal of Geophysical Research, 1996, 101(21): 403-421.
[6] LUO X, LIANG X, MC CARTHY H R. VIC+ for Water-limited Conditions: A Study of Biological and Hydrological Processes and Their Interactions in Soil-Plant-Atmosphere Continuum[J]. Water Resources Research, 2013, 49(11): 7711-7732.
[7] 卢小慧,李奇龙.基于MIKE SHE模型的流域地下水水文响应[J].长江科学院院报,2015,32(1):11-15,20.
[8] KRYSANOVA V, MULLER-WOHLFEIL D, BECKERA. Development of the Ecohydrological Model SWIM for Regional Impact Studies and Vulnerability Assessment[J]. Hydrological Processes, 2005, 19(3): 763-783.
[9] 刘昌明,杨胜天,温志群,等.分布式生态水文模型EcoHAT系统开发及应用[J].中国科学(E辑:技术科学), 2009, 39(6): 1112-1121.
[10]赵人俊.流域水文模拟:新安江模型与陕北模型[M].北京:水利电力出版社, 1984: 106-130.
[11]潘 韬, 吴绍洪, 戴尔阜, 等.基于In VEST模型的三江源区生态系统水源供给服务时空变化[J].应用生态学报, 2013, 24(1): 183-189.
[12]LEH M D K, MATLOCK M D, CUMMINGS E C,et al. Quantifying and Mapping Multiple Eco-system Services Change in West Africa[J]. Agriculture Ecosystems and Environment, 2013, 165(1): 6-18.
[13]余新晓, 周 彬, 吕锡芝, 等.基于In VEST模型的北京山区森林水源涵养功能评估[J].林业科学, 2012, 48(10): 1-5.
[14]CHEN J M,CHEN X,JU W,et al.Distributed Hydrological Model for Mapping Evapotranspiration Using Remote Sensing Inputs[J].Journal of Hydrology,2005,305(1):15-39.
[15]CALDWELL P V, SUN G, MCNULTY S G,et al. Impacts of Impervious Cover, Water Withdrawals, and Climate Change on River Flows in the Conterminous US[J]. Hydrology and Earth System Sciences Discussions, 2012, 9(4): 4263-4304.
[16]MCNULTY S G,SUN G,MYERS J A M,et al. Robbing Peter to pay Paul: Tradeoffs Between Ecosystem Carbon Sequestration and Water Yield[C]//Proceedings of Watershed Management 2010: Innovations in Watershed Management under Land Use and Climate Change. Madison,Wisconsin,United States. August 23-27,2010:103-114.
[17]SUN G,CALDWELL P,NOORMETS A,et al.Upscaling Key Ecosystem Functions across the Conterminous United States by a Water-centric Ecosystem Model[J].Journal of Geophysical Research Biogeosciences,2011,116(G3):1-16.
[18]SUN G, MCNULTY S G, MYERS J A M,et al. Impacts of Multiple Stresses on Water Demand and Supply across the Southeastern United States[J]. JAWRA Journal of the American Water Resources Association, 2010, 44(6):1441-1457.
[19]刘 宁, 孙鹏森, 刘世荣, 等.流域水碳过程耦合模拟:WaSSI-C模型的率定与检验[J].植物生态学报, 2013, 37(6): 492-502.
[20]侯晓臣,孙 伟,李建贵,等.森林生态系统水源涵养能力计量方法研究进展与展望[J].干旱区资源与环境,2018, 32(1): 121-127.
[21]张耀南,龙银平,程国栋,等.地学研究中的集成建模环境综述[J].科研信息化技术与应用,2014,5(1): 3-15.
[22]USACE. Hydrologic Modeling System HEC-HMS User's Manual[K]. USA: US Army Corps of Engineers, 2001.
[23]STRASSBERG G, JONES N L, MAIDMENT D R. Arc Hydro Groundwater[M].Beijing: Esri Press, 2011.
[24]DOUGLAS-MANKIN K R, SRINIVASAN R, ARNOLD J G. Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications[J]. American Society of Agricultural and Biological Engineers, 2010, 53(5): 1211-1250.
[25]WINCHELL M, SRINIVASAN R, DI LUZIO M,et al. ArcSWAT Interface for SWAT2005 User's Guide[K]. Temple, Texas: Texas Agricultural Experiment Station and United States Department of Agriculture,2007.
[26]HUANG Bo, JIANG Bin. AVTOP: A Full Integration of TOPMODEL into GIS[J]. Environmental Modelling and Software, 2002, 17(3): 261-268.
[27]王中根,郑红星,刘昌明.基于模块的分布式水文模拟系统及其应用[J].地理科学进展,2005(6):109-115.
[28]刘昌明,王中根,郑红星,等.HIMS系统及其定制模型的开发与应用[J].中国科学(E辑:技术科学),2008(3):350-360.
[29]王中根,姬 鹏,夏 军.水系统综合管理与模拟工具(WIM)的设计与开发[J].地理科学进展,2011,30(3):330-334.
[30]周买春,肖红玉,胡月明,等.BTOPMC/SCAU分布式流域水文模型原理和系统设计[J].农业工程学报,2015,31(20):132-139.
[31]刘 宁,孙鹏森,刘世荣,等.WaSSI-C生态水文模型响应单元空间尺度的确定: 以杂古脑流域为例[J].植物生态学报,2013,37(2):132-141.
[32]侯晓臣,孙 伟,李建贵,等.塔里木河干流上游区WaSSI-C生态水文模型的适用性评价[J].干旱地区农业研究,2019,37(2):202-208.
[33]侯晓臣,孙 伟,李建贵,等.WaSSI-C模型在焉耆盆地的适用性改进与应用[J].甘肃农业大学学报,2019,54(3):108-116.
[34]SUN G, ALSTAD K, CHEN J, et al. A General Predictive Model for Estimating Monthly Ecosystem Evapotranspiration[J]. Ecohydrology, 2011, 4(2): 245-255.
[35]陆垂裕,秦大庸,张俊娥,等.面向对象模块化的分布式水文模型MODCYCLEⅠ:模型原理与开发篇[J].水利学报, 2012, 43(10): 1135-1145.
[36]刘昌军,文 磊,周 剑,等.小流域暴雨山洪水文模型与水动力学方法计算比较分析[J].中国水利水电科学研究院学报, 2019, 17(4): 262-270, 278.
[37]耿俊豹,梁 乾,魏曙寰,等.综合C/S和B/S模式的船舶信息管理系统[J].计算机工程, 2005(13): 215-216, 230.
[38]邓仕虎,王小勇,朱俊丰,等.基于GIS的两江新区健康水系统决策支持系统构建研究与实现[J].城市勘测, 2017(1): 16-22.
[39]强德霞,赵彦博,南卓铜,等.基于参数实时优化的洪水预报系统研究: 以黑河干流洪水为例[J].水利水电技术, 2017, 48(4): 13-17, 24.
[40]陈蓓青,田雪冬,曹 浩,等.基于三维GIS的丹江口水库地质灾害监测预警系统设计与实现[J].长江科学院院报, 2016, 33(7): 51-54, 67.
[41]赵丽娜,李慧秀,朱祉瑛,等.基于Scilab的电力输电线路研究[J].内燃机与配件, 2017(5): 136-137.
[42]肖紫珍,闫 强,武鹏林.基于ArcEngine的河道地理信息管理系统的设计与实现[J].长江科学院院报, 2013, 30(10): 114-117.
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