Relevant bibliographies by topics / GIS integration with hydrologic models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'GIS integration with hydrologic models'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "GIS integration with hydrologic models"

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Zhang, Lei, Desmond Ofosu Anim, and Amos T. Kabo-Bah. "Integration of Geographical Information Science (GIS) Technology in Hydrological Modeling: A Critical Review." Advanced Materials Research 838-841 (November 2013): 2284–91. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2284.

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Current trends in hydrological modeling depend on spatial datasets, complex computational tasks and representation. As the need for the development of hydrological modeling capabilities have evolved, its integration with geographic information system (GIS) has provided a significant contribution to the efforts of hydrologic models. It serves the role of providing support in data capturing and improving hydrological modeling efforts by giving tools for effective analysis. This integration of GIS technology and hydrological modeling has resulted in great value and presents potential benefits to
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Caetano, Jordana Moura, and Derblai Casaroli. "Tendências dos modelos hidrológicos integrados aos sistemas de informações geográficas a partir da cienciometria." Comunicata Scientiae 7, no. 3 (2016): 406. http://dx.doi.org/10.14295/cs.v7i3.1197.

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The remote sensing and Geographic Information Systems (GIS) development have encouraged and improved the use and spansion of hydrological models worldwide. This development allows the use of hydrological models, simulating watersheds systems operation in a more simple, economical and realistic way. In order to maximize this integration, new computational tools, hydrological models and GIS are being developed. This study aimed to apply the scientometric study to quantify and verify the tendencies of the scientific publications of hydrological models and their integration with geographic informa
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Cesur, Durmus. "GIS as an information technology framework for water modeling." Journal of Hydroinformatics 9, no. 2 (2007): 123–34. http://dx.doi.org/10.2166/hydro.2007.008.

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The sustainable and equitable management of water requires integrated analysis which includes the integration of a multitude of modeling systems at the core. The linkage of the modeling systems and components is the main bottleneck to achieve the integrated modeling solutions that maintain the integrity of the entire environmental system for comprehensive analysis, planning and management. In this paper, the use of a Geographic Information System (GIS), as an integration framework for the water modeling systems, together with object-oriented data modeling and programming schemes is explained.
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Arnold, J. G., R. Srinivasan, T. S. Ramanarayanan, and M. DiLuzio. "Water resources of the Texas Gulf Basin." Water Science and Technology 39, no. 3 (1999): 121–33. http://dx.doi.org/10.2166/wst.1999.0151.

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A geographic information system (GIS) has been integrated with a distributed parameter, continuous time, nonpoint source pollution model SWAT (Soil and Water Assessment Tool) for the management of water resources. This integration has proven to be effective and efficient for data collection and to visualize and analyze the input and output of simulation models. The SWAT-GIS system is being used to model the hydrology of eighteen major river systems in the United States (HUMUS). This paper focuses on the integration of SWAT (basin scale hydrologic model) with the Geographical Resources Analysis
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Mendoza, Manuel, Gerardo Bocco, and Miguel Bravo. "Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research." Progress in Physical Geography: Earth and Environment 26, no. 3 (2002): 319–38. http://dx.doi.org/10.1191/0309133302pp335ra.

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Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of pre
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Niyazi, Burhan A., Milad H. Masoud, Mohamed Ahmed, Jalal M. Basahi, and Mohamed A. Rashed. "Runoff assessment and modeling in arid regions by integration of watershed and hydrologic models with GIS techniques." Journal of African Earth Sciences 172 (December 2020): 103966. http://dx.doi.org/10.1016/j.jafrearsci.2020.103966.

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Ng, G. H. Crystal, Andrew D. Wickert, Lauren D. Somers, et al. "GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems." Geoscientific Model Development 11, no. 12 (2018): 4755–77. http://dx.doi.org/10.5194/gmd-11-4755-2018.

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Abstract. The importance of water moving between the atmosphere and aquifers has led to efforts to develop and maintain coupled models of surface water and groundwater. However, developing inputs to these models is usually time-consuming and requires extensive knowledge of software engineering, often prohibiting their use by many researchers and water managers, thus reducing these models' potential to promote science-driven decision-making in an era of global change and increasing water resource stress. In response to this need, we have developed GSFLOW–GRASS, a bundled set of open-source tool
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Ali, Mohd Fozi, Nor Faiza A. Rahman, and Khairi Khalid. "Discharge Assessment by Using Integrated Hydrologic Model for Environmental Technology Development." Advanced Materials Research 911 (March 2014): 378–82. http://dx.doi.org/10.4028/www.scientific.net/amr.911.378.

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River water quality degradation is one of the most significant environmental challenges. Over the years, many models have been used to investigate the current state of Malaysian rivers and its effects to the environment. River discharge is an important factor in water quality investigation. An integrative computational model, GIS coupled with SWAT model was being used to predict river discharge of this research. The simulation results in the period 1999 to 2010 represented fluctuation of discharge relatively well with both R2and NSI values were above 0.6. The results proved that the developmen
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Luciani, Peter D., James Y. Li, and Douglas Banting. "Distributed urban storm water modeling within GIS integrating analytical probabilistic hydrologic models and remote sensing image analyses." Water Quality Research Journal 46, no. 3 (2011): 183–99. http://dx.doi.org/10.2166/wqrjc.2011.113.

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Analytical probabilistic hydrologic models (APMs) are computationally efficient producing validated storm water outputs comparable to continuous simulation for storm water planning level analyses. To date, APMs have been run as spatially lumped or semi-distributed models relying upon calibrated and spatially averaged system state variable inputs/parameters limiting model system representation and ultimately impacting model uncertainty. Here, APMs are integrated within Geographic Information Systems (GIS) and remote sensing image analyses (RSIA) deriving a planning-level distributed model under
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Fattah Sheikh Suleimany, Jehan M. "Determination of Potential Runoff Coefficient using Geographic Information System for a Small Basin in Balakayety Watershade, Kurdistan Region of Iraq." Polytechnic Journal 10, no. 2 (2020): 38–43. http://dx.doi.org/10.25156/ptj.v10n2y2020.pp38-43.

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Runoff coefficient is an index for losses in rainfall required in most hydrological models and water resources projects. Generally, in the Balakayety water shade in Kurdistan region of Iraq, no runoff data are available as almost basins are ungagged. The Geographic Information System (GIS) techniques and available data for a small basin in Balakayety watershed within the Erbil governorate (Kurdistan Region of Iraq) were used to estimate the coefficient of potential runoff coefficient (PRC). The estimated PRC will be then used to calculate the depth of runoff. The Satellite Imagery (Landsat 7 E
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Dissertations / Theses on the topic "GIS integration with hydrologic models"

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Zhang, Xiaohui. "Integration of a stochastic space-time rainfall model and distributed hydrologic simulation with GIS." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282409.

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This research presents an integration of a stochastic space-time rainfall model and distributed hydrologic simulation with GIS. The integrated simulation system consists of three subsystems: a stochastic space-time rainfall model, a geographical information system (GIS), and a distributed physically-based hydrologic model. The developed stochastic space-time rainfall model is capable of estimating the storm movement and simulating a random rainfall field over a study area, based on the measurement from three raingauges. An optimization-based lag-k correlation method was developed to estimate t
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Wazny, David G., and David G. Wazny. "A New Approach For Linking Hydrologic Models With GIS." Thesis, The University of Arizona, 1996. http://hdl.handle.net/10150/626786.

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A method by which a Geographic Information System can be integrated with a hydrologic model in a seamless manner is presented. The three dimensional finite difference ground-water flow model, MODFLOW, is used as an example to show GIS model integrations using Common Object Interfaces (COi). The model is integrated with the GIS using a set of required steps needed to identify the nature ofMODFLOW's data requirements and computational structure. This allows alternate methods to be developed that can obtain data from a Geographic Information System or from a Graphic User Interface. R
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Koka, Srikanth. "Integration of stream and watershed data for hydrologic modeling." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/381.

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This thesis presents the development of a hydrologic model in the vector environment. Establishing spatial relationship between flow elements is the key for flow routing techniques. Such a relationship is called hydrologic topology, making each flow element know which other elements are upstream and which are downstream. Based on the hydrologic topology established for the flow elements, tools were developed for flow network navigation, drainage area estimation, flow length calculation and drainage divide determination. To apply the tools, data required might be obtained from different sources
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Ryan, Chris J. "Development of GIS techniques for automated topographic and hydrologic analysis." School of Civil, Mining & Environmental Engineering - Faculty of Engineering, 2004. http://ro.uow.edu.au/theses/187.

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This thesis describes a research project which focuses on improving the accuracy, and extending the capabilities of topographic and hydrologic analysis algorithms. These algorithms can be applied within GIS frameworks for parameterisations of hydrologic models. In this research project, several new algorithms were developed to overcome the observed deficiencies in current algorithms for GIS based analysis of raster Digital Elevation Models (DEMs). These algorithms were used to develop a software product CatchmentSIM which has been made freely available to researchers and practitioners. Catchme
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Chen, Mi. "Using an integrated linkage method to predict hydrological responses of a mixed land use watershed." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xvi, 378 p.; also includes graphics (some col.). Includes bibliographical references (p. 229-252). Available online via OhioLINK's ETD Center
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Bhadra, Sourav. "Assessing the Impacts of Anthropogenic Drainage Structures on Hydrologic Connectivity Using High-Resolution Digital Elevation Models." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2573.

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Stream flowline delineation from high-resolution digital elevation models (HRDEMs) can be problematic due to the fine representation of terrain features as well as anthropogenic drainage structures (e.g., bridges, culverts) within the grid surface. The anthropogenic drainage structures (ADS) may create digital dams while delineating stream flowlines from HRDEMs. The study assessed the effects of ADS locations, spatial resolution (ranged from 1m to 10m), depression processing methods, and flow direction algorithms (D8, D-Infinity, and MFD-md) on hydrologic connectivity through digital dams usin
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Valenzuela, Zapata Milver Alfredo. "Development of an ArcGIS interface and design of a geodatabase for the soil and water assessment tool." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/121.

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This project presents the development and design of a comprehensive interface coupled with a geodatabase (ArcGISwat 2003), for the Soil and Water Assessment Tool (SWAT). SWAT is a hydrologically distributed, lumped parameter model that runs on a continuous time step. The quantity and extensive detail of the spatial and hydrologic data, involved in the input and output, both make SWAT highly complex. A new interface, that will manage the input/output (I/O) process, is being developed using the Geodatabase object model and concepts from hydrological data models such as ArcHydro. It also incorpo
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Ciaccio, Mauro. "The integration of a physically-based hydrological model with spatial soil data and GIS : an application to the Hafren Catchment, Wales." Thesis, University of Edinburgh, 2000. http://hdl.handle.net/1842/26393.

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The present research aims to illustrate and evaluate the effect of spatially variable soil data on the modelling of catchment rainfall-runoff transformations, using the hydrological model Topmodel. The soil-topographic wetness index used in Topmodel has always allowed for a spatially variable To - lateral saturated transmissivity - yet very little published research has focussed on the use of spatial soil datasets to derive To. In recent years the availability of soil hydrologic parameters, either from soil classifications and/or from new measurement techniques has increased significantly and,
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Kingston, William John III. "Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia-." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76812.

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Presented in this thesis is a case study of two study watersheds located in south central Virginia. For each, a HEC-HMS event-based hydrologic model was constructed to simulate the rainfall-runoff response from the Probable Maximum Storm (PMS), the theoretical worst-case meteorological event that is capable of occurring over a particular region. The primary goal of these simulations was to obtain discharge hydrographs associated with the Probable Maximum Flood (PMF) at key locations in each of the watersheds. These hydrographs were subsequently used to develop flood inundation maps of the stud
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Wright, Daniel Frederick. "Evaluating volcanic-hosted massive sulphide favourability using GIS-based spatial data integration models, Snow Lake area, Manitoba." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/10064.

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Maps showing spatial variation of volcanic-hosted massive sulphide (VHMS) potential in the Snow Lake area have been generated by combining digital data from a variety of sources. An exploration model, based on a VHMS deposit model, but expanded to include regional exploration datasets, provides a conceptual framework for the extraction of predictive evidence from the raw data sources. The evidence is divided into five factors: stratigraphic evidence, evidence related to available heat, alteration evidence, geophysical evidence and geochemical evidence. Stratigraphic evidence is derived from th
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Books on the topic "GIS integration with hydrologic models"

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Distributed hydrologic modeling using GIS. Kluwer Academic Publishers, 2001.

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Karimi, Hassan A. CAD and GIS integration. Auerbach Publications, 2010.

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Karimi, Hassan A. CAD and GIS integration. Auerbach Publications, 2010.

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Karimi, Hassan A. CAD and GIS integration. CRC Press, 2010.

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Jürgens, Carsten. Einsatz von Fernerkundungs- und GIS-Techniken zur vergleichenden Abflussmodellierung mesoskaliger Flusseinzugsgebiete. Institut für Geographie an der Universität Regensburg, Selbstverlag, 2001.

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Schuurmans, J. M. Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Royal Dutch Geographical Society, 2008.

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Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Royal Dutch Geographical Society, 2008.

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Klenke, Martin. GIS-gestützte Landnutzungsklassifikationen auf Grundlage von Daten passiver und aktiver Fernerkundungssensoren zur distributiven Flusseinzugsgebietsmodellierung. Friedrich-Schiller-Universität, Institut für Geographie, Selbstverlag, 1999.

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Vieux, Baxter E. Distributed Hydrologic Modeling Using GIS. Springer, 2018.

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Vieux, Baxter E. Distributed Hydrologic Modeling Using GIS. Springer, 2016.

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Book chapters on the topic "GIS integration with hydrologic models"

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Shih, S. F. "Integration of Remote Sensing and GIS for Hydrologic Studies." In Geographical Information Systems in Hydrology. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8745-7_2.

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Udovyk, O. "Gis And Models For Environmental Health Action Plans." In Integration of Information for Environmental Security. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6575-0_7.

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Maidment, David R. "GIS and Hydrologic Models of Non-Point Source Pollution in Subsurface Water." In SSSA Special Publications. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub48.c9.

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Schiewe, Jochen, and Manfred Ehlers. "Fuzzy Models for Handling Uncertainty in the Integration of High Resolution Remotely Sensed Data and GIS." In Geographic Uncertainty in Environmental Security. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6438-8_6.

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Al-Habsi, R., Y. A. Al-Mulla, Y. Charabi, H. Al-Busaidi, and M. Al-Belushi. "Validation and Integration of Wheat Seed Emergence Prediction Model with GIS and Numerical Weather Prediction Models." In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29589-3_6.

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Schultz, G. A. "Integration of Remote Sensing Information, Digital Elevation Models and Digital Maps Within a GIS to Generate New Spatial Environmental Data Sets for Water Management Purposes." In Integrated Approach to Environmental Data Management Systems. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5616-5_14.

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Mwanza, Mabvuto, and Koray Ulgen. "GIS-Based Assessment of Solar Energy Harvesting Sites and Electricity Generation Potential in Zambia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_60-1.

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AbstractLand and environment are some of limited nature resource for any particular country and requires best use. Therefore, for sustainable energy generation it is often important to maximize land use and avoid or minimize environmental and social impact when selecting the potential locations for solar energy harvesting. This chapter presents an approach for identifying and determining the potential sites and available land areas for solar energy harvesting. Hence, the restricting and enhancing parameters that influence sites selection based on international regulation have been imposed to the Laws of Zambia on environmental protection and pollution control legislative framework. Thus, both international regulations and local environmental protection and pollution control legislative have been used for identifying the potential sites and evaluating solar PV electricity generation potential in these potential sites. The restricting parameters were applied to reduce territory areas to feasible potential sites and available areas that are suitable for solar energy harvesting. The assessment involved two different models: firstly the assessment of potential sites and mapping using GIS, and secondly, evaluation of the available suitable land areas and feasible solar PV electricity generation potential in each provinces using analytical methods. The total available suitable area of the potential sites is estimated at 82,564.601 km2 representing 10.97% of Zambia’s total surface area. This potential is equivalent to 10,240.73 TWh annual electricity generation potential with potential to reduce CO2 emissions in the nation and achieve SDGs. The identification of potential sites and solar energy will help improve the understanding of the potential solar energy can contribute to achieving sustainable national energy mix in Zambia. Furthermore, it will help the government in setting up tangible energy targets and effective integration of solar PV systems into national energy mix.
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Mwanza, Mabvuto, and Koray Ulgen. "GIS-Based Assessment of Solar Energy Harvesting Sites and Electricity Generation Potential in Zambia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_60.

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AbstractLand and environment are some of limited nature resource for any particular country and requires best use. Therefore, for sustainable energy generation it is often important to maximize land use and avoid or minimize environmental and social impact when selecting the potential locations for solar energy harvesting. This chapter presents an approach for identifying and determining the potential sites and available land areas for solar energy harvesting. Hence, the restricting and enhancing parameters that influence sites selection based on international regulation have been imposed to the Laws of Zambia on environmental protection and pollution control legislative framework. Thus, both international regulations and local environmental protection and pollution control legislative have been used for identifying the potential sites and evaluating solar PV electricity generation potential in these potential sites. The restricting parameters were applied to reduce territory areas to feasible potential sites and available areas that are suitable for solar energy harvesting. The assessment involved two different models: firstly the assessment of potential sites and mapping using GIS, and secondly, evaluation of the available suitable land areas and feasible solar PV electricity generation potential in each provinces using analytical methods. The total available suitable area of the potential sites is estimated at 82,564.601 km2 representing 10.97% of Zambia’s total surface area. This potential is equivalent to 10,240.73 TWh annual electricity generation potential with potential to reduce CO2 emissions in the nation and achieve SDGs. The identification of potential sites and solar energy will help improve the understanding of the potential solar energy can contribute to achieving sustainable national energy mix in Zambia. Furthermore, it will help the government in setting up tangible energy targets and effective integration of solar PV systems into national energy mix.
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Westervelt, James D. "Geographic Information Systems and Agent-Based Modeling." In Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.003.0010.

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As we enter the twenty-first century, decreasing computer costs continue to result in the development of new generations of computation-based land management tools. Geographical information systems (GIS) emerged from laboratories in the mid-1970s and became, by the mid-1990s, a mainstay of the land manager’s toolbox. During this time, GIS technicians moved from a role as the sole GIS operator to one that includes the design and development of decision support systems (DSS) developed on a foundation of GIS technologies. The land manager is now provided with interactive environments that provide limited, but directed, manipulation and querying of GIS data files. GIS, now a mature technology, is an incomplete tool. It allows for the capture and analysis of landscape system state information. Historic maps, satellite and high-altitude photography, survey data, communication networks, and other sources now provide a rich record of historic and present conditions. Our culture has now embraced the idea that ideas about the state of our landscapes should be formally captured. Ideas about how landscape works, however, remain concepts in the minds of land managers. These ideas develop through formal education, continual review of the literature, and perhaps most importantly, personal experiences during one’s career. While applications of GIS technologies reflect land manager knowledge about the land processes, the GIS does not easily allow that knowledge to be formally captured. The scientific community has now developed a rich array of formalized landscape processes in the form of computer simulations. Hydrologic engineers have a wealth of groundwater, surface water, and overland water flow simulation models. Regional planners offer simulations of urban growth and traffic flow. Ecologists are developing plant and community succession models , and models of habitat responses to land use patterns. Working with scientists, land managers can apply such models to their land management decision processes. However, each model focuses on only part of the landscape system. Full use of the scientific models to affect land management decisions will not occur until the models are integrated as components of a simulation-based geographic modeling system (GMS). Over the next decade experimental systems are expected to result in the release of commercially viable land simulation modeling environments. As we currently capture our understandings of state information in GISs, we will formalize our understandings regarding the dynamics of the landscape in GMSs.
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Duke-Sylvester, Scott M., and Louis J. Gross. "Integrating Spatial Data into an Agent-Based Modeling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation." In Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.003.0012.

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Agent-based or individual-based models allow for variation in the state and behavior of the basic objects that interact within the model. Modeling each individual as a separate entity allows for spatially explicit components to be included so that the individuals can interact with a heterogeneous landscape and with each other. Realism is added to the models by incorporating spatially explicit data for the area of interest. Integrating spatial data into an agent-based system requires that a significant level of geographic information systems (GIS) functionality from traditional GIS be incorporated into the modeling system. This approach may seem redundant and costly, but current GIS systems do not offer a framework for building dynamic agent-based models. The across-trophic-level system simulation (ATLSS) is characterized by the integration of several distinct agent-based models and spatially explicit data into a single modeling system. One of the goals of the ATLSS (pronounced like “atlas”) project is to investigate the relative response of various interconnected trophic levels of the South Florida (SF) Everglades to different hydrologic scenarios over a thirty-year planning horizon. The ATLSS approach consists of several distinct component models, each of which represents different biotic components of the Everglades system, linked together as a multimodel. Currently, ATLSS includes component models for the Florida Panther, the Cape Sable Sea Side Sparrow, white tail deer, fresh water fish, wading birds, the Snail kite, and vegetation biomass. Additional models for alligators and various reptiles and amphibians are in development and will be added as they are completed. The list above by no means enumerates all of the species in SF. It reflects instead the initial attempt to include key components that biologists with many years of field experience in SF believed were critical to include. It also reflects the time and funding limitations to carry out empirical studies and develop both the theory and software needed to model each system component. The Florida Panther, the Cape Sable Seaside Sparrow, the Snail Kite and several wading bird species of SF are all listed as endangered species. The fish, deer, and vegetation on the other hand are included since they are critical resources for the endangered species.
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Conference papers on the topic "GIS integration with hydrologic models"

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Hoblit, Brian C., and David C. Curtis. "Integration of Radar Rainfall into Hydrologic Models." In Ninth International Conference on Urban Drainage (9ICUD). American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40644(2002)229.

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Gabriel G Vazquez-Amabile, Pablo A Mercuri, Fernanda J Gaspari, and Bernard A Engel. "Construction of a Digital Hydrologic Soil Group Map for Argentina to Simulate Runoff Using GIS - Hydrologic Models." In 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, 29 March - 3 April 2008, Concepcion, Chile. American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.24333.

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Zhang, Z., B. E. Johnson, and T. K. Gerald. "Water Quality Component Development and Integration with USACE Watershed Hydrologic Models." In World Environmental and Water Resources Congress 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)385.

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Jing Zhang, Huili Gong, Xiaojuan Li, and M. Ross. "Effects of mining on the ecosystems integrating GIS and hydrological model." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293541.

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Chen, Tao, Hong-yong Yuan, Rui Yang, and Jianguo Chen. "Integration of GIS and Computational Models for Emergency Management." In 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2008. http://dx.doi.org/10.1109/icicta.2008.25.

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Mahtab Kamali, K. Ponnambalam, and E. D. Soulis. "Integration of surrogate optimization and PCA for calibration of hydrologic models, A WATCLASS case study." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4414073.

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Deering, D. D., and Y. H. Lim. "Identification of Safe Navigation Routes in a Remote Watershed under Extreme Storm Events Utilizing GIS and Hydrologic Models." In World Environmental and Water Resources Congress 2014. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.228.

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Xiang, Weiguo, Fuzhang Wang, and Xian Zhang. "Research on Integration of Multi-source BIM Models Based on GIS Platform." In 2019 5th International Conference on Information Management (ICIM). IEEE, 2019. http://dx.doi.org/10.1109/infoman.2019.8714651.

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Chen, Peng, and Miaolong Liu. "Integration agent-based models and GIS as a virtual urban dynamic laboratory." In Geoinformatics 2007, edited by Peng Gong and Yongxue Liu. SPIE, 2007. http://dx.doi.org/10.1117/12.764945.

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Su, Kehua, Xinyan Zhu, and Fanmin Kong. "Schema integration of heterogeneous geospatial database." In Geoinformatics 2008 and Joint Conference on GIS and Built environment: Advanced Spatial Data Models and Analyses, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2009. http://dx.doi.org/10.1117/12.813117.

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Reports on the topic "GIS integration with hydrologic models"

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Wright, D. F., and G. F. Bonham-Carter. VHMS favourability mapping with GIS-based integration models, Chisel Lake-Anderson Lake area. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/207595.

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