Relevant bibliographies by topics / Watershed management Geographic information systems

Contents

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

Academic literature on the topic 'Watershed management Geographic information systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Watershed management Geographic information systems"

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He, Chansheng. "Integration of geographic information systems and simulation model for watershed management." Environmental Modelling & Software 18, no. 8-9 (2003): 809–13. http://dx.doi.org/10.1016/s1364-8152(03)00080-x.

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Cox, Christopher, and Chandra Madramootoo. "Application of geographic information systems in watershed management planning in St. Lucia." Computers and Electronics in Agriculture 20, no. 3 (1998): 229–50. http://dx.doi.org/10.1016/s0168-1699(98)00021-0.

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Mitchell, Keith M., David R. Pike, and Helena Mitasova. "Using a Geographic Information System (GIS) for Herbicide Management." Weed Technology 10, no. 4 (1996): 856–64. http://dx.doi.org/10.1017/s0890037x00040926.

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An algorithm was developed for use in a geographic information system (GIS) to model the surface movement of herbicide in response to a rainfall event as modulated by slope, soil, management practices, and time of herbicide application. This algorithm was implemented in the GIS software Geographic Resource Analysis Support System (GRASS) and uses as submodels the Natural Resources Conservation Service (NRCS) curve number procedure, the Universal Soil Loss Equation (USLE), and the pesticide submodel from the model Chemicals, Runoff, and Erosion from Agricultural Management Systems (CREAMS). The algorithm estimates the loss of pesticide from field areas, runoff flow patterns, and the accumulation of pesticide downslope in response to a rainfall event. The simulated movement of atrazine, cyanazine, and alachlor was studied under hypothetical management scenarios in the Lake Pittsfield watershed in Pike Co., IL. Tillage for the simulation was by moldboard plow. An alternate no-till scenario was simulated to test tillage effect on atrazine movement. Herbicides were applied either PPI, PRE, POST, or early preplant for no-till (treated as same application time as PPI but without incorporation). The experiment was designed to incorporate timing of application as a management factor from the standpoint of a single rain event on May 16. The results used for comparison were data from 1 d after POST application, 15 d after PRE application and 30 d after PPI application. The algorithm showed that areas of greater herbicide risk can be located within a watershed and that the effect of alternative management practices can be evaluated using a GIS.
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Choi, Jin-Yong, Bernard A. Engel, and Richard L. Farnsworth. "Web-based GIS and spatial decision support system for watershed management." Journal of Hydroinformatics 7, no. 3 (2005): 165–74. http://dx.doi.org/10.2166/hydro.2005.0014.

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Geographic Information Systems (GIS) have been widely used for spatial data manipulation for hydrologic model operations and as a supporting tool to develop spatial decision support systems (SDSS). Information technologies, including GIS and the Internet, have provided opportunities to overcome many of the limitations of computer-based models in terms of data preparation and visualisation, and provide the possibility to create integrated SDSS. This paper examines the relationship between changes in GIS technology and watershed management SDSS. It also describes a conceptual web-based SDSS framework in terms of system components and data flow. A prototype watershed management web-based SDSS that utilises the conceptual framework is examined (URL: http://pasture.ecn.purdue.edu/~watergen/owls). The SDSS uses web-GIS for watershed delineation, map interfaces and data preparation routines, a hydrologic model for hydrologic/water quality impact analysis and web communication programs for Internet-based system operation. The web-based SDSS can be helpful for watershed management decision-makers and interested stakeholders. The watershed management SDSS also provides insight into the role of GIS and information technologies in creating readily accessible and useable SDSS capabilities.
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Era Alfansyuri, and Indra Farni. "Pengelolaan DAS Kota Padang Berbasiskan Sistem Informasi Geografis." Jurnal Ilmiah Poli Rekayasa 11, no. 1 (2015): 24. http://dx.doi.org/10.30630/jipr.11.1.16.

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Changes in soil physical and socio-economic life of the people Padang City be the cause of a decrease the condition of the watershed (DAS). Catchment area management can be done through an assessment of the components of a watershed both spatial and attribute in a system that is comprehensive and and done with integrated management. Preparation of physical watershed data done by utilizing the technology of Geographic Information Systems (GIS) in which GIS has the ability to perform the presentation of data DAS and spatial analyzes to look at the ability of the DAS.
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Erturk, A., M. Gurel, M. A. Baloch, et al. "Applicability of modelling tools in watershed management for controlling diffuse pollution." Water Science and Technology 56, no. 1 (2007): 147–54. http://dx.doi.org/10.2166/wst.2007.446.

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Diffuse pollution is hard to analyze, control and manage by its nature. Watershed models and Geographical Information Systems (GIS) are recently developed tools that aid analysis of diffuse sources of pollution. However, their applications are not always easy and straightforward. Turkey is a typical example of a mountainous country rich in rivers and streams. Due to the complex geomorphology, land-use and agricultural practices in most of the watersheds in Turkey, modelling, analyzing and managing diffuse pollution has been a challenge. The complex watershed structure forces the modellers to work with spatially high resolution data. Apart from the data, the models themselves may also cause operational problems. These issues and their probable solutions form the basis of the discussions in this paper. It acts as a guideline for modelling and analyzing diffuse pollution by emphasizing the referred problems and difficulties. Design of an Information Technology-based system tool for watershed and/or water quality modelling, which would be suitable for countries having watersheds with similar structure and problems to those of Turkey, is also outlined.
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Lin, C. E., C. M. Kao, C. J. Jou, Y. C. Lai, C. Y. Wu, and S. H. Liang. "Preliminary identification of watershed management strategies for the Houjing river in Taiwan." Water Science and Technology 62, no. 7 (2010): 1667–75. http://dx.doi.org/10.2166/wst.2010.460.

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The Houjing River watershed is one of the three major river watersheds in the Kaohsiung City, Taiwan. Based on the recent water quality analysis, the Houjing River is heavily polluted. Both point and non-point source (NPS) pollutants are the major causes of the poor water quality in the Houjing River. Investigation results demonstrate that the main point pollution sources included municipal, agricultural, and industrial wastewaters. In this study, land use identification in the Houjing River watershed was performed by integrating the skills of geographic information system (GIS) and global positioning system (GPS). Results show that the major land-use patterns in the upper catchment of the Houjing River watershed were farmlands, and land-use patterns in the mid to lower catchment were residential and industrial areas. An integrated watershed management model (IWMM) and Enhanced Stream Water Quality Model (QUAL2K) were applied for the hydrology and water quality modeling, watershed management, and carrying capacity calculation. Modeling results show that the calculated NH3-N carrying capacity of the Houjing River was only 31 kg/day. Thus, more than 10,518 kg/day of NH3-N needs to be reduced to meet the proposed water quality standard (0.3 mg/L). To improve the river water quality, the following remedial strategies have been developed to minimize the impacts of NPS and point source pollution on the river water quality: (1) application of BMPs [e.g. source (fertilizer) reduction, construction of grassy buffer zone, and land use management] for NPS pollution control; (2) application of river management scenarios (e.g. construction of the intercepting and sewer systems) for point source pollution control; (3) institutional control (enforcement of the industrial wastewater discharge standards), and (4) application of on-site wastewater treatment systems for the polishment of treated wastewater for water reuse.
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Rickerl, D. H., J. H. Gritzner, P. K. Wieland, and G. Rial. "Geographic information systems for selection of CRP tracts to meet different management goals after contract expiration." American Journal of Alternative Agriculture 14, no. 2 (1999): 78–84. http://dx.doi.org/10.1017/s0889189300008110.

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AbstractLand use decisions, following expiration of Conservation Reserve Program (CRP) contracts, can be aided by Geographical Information System (GIS) analysis. We utilized a GIS to overlay maps of CRP tracts including wetlands, a surficial aquifer, lakes, rivers and other landscape features in a small watershed in eastern South Dakota. Attribute data including the percentage of highly erodible land, soil type, vegetation, and land capability class were also integrated with the maps. Lake County, South Dakota was used to test the GIS selection model. Criteria were developed for the selection of tracts suitable for various management goals including: protection of surface and groundwater resources, wildlife enhancement, and row-crop or grassland agriculture. The maximum percentage of tract hectares selected for each goal was 17 for groundwater protection, 22 for surface water protection, 18 for wildlife enhancement, 30 for rowcrop production, and 38 for pasture or rangeland. All CRP tracts were selected at least once. The GIS provides a mechanism for selecting CRP tracts to meet several management goals.
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Xue, Jinping, Dongwei Lyu, Dingyong Wang, et al. "Assessment of Soil Erosion Dynamics Using the GIS-Based RUSLE Model: A Case Study of Wangjiagou Watershed from the Three Gorges Reservoir Region, Southwestern China." Water 10, no. 12 (2018): 1817. http://dx.doi.org/10.3390/w10121817.

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The adjacent agricultural watershed is a vital component of the Three Gorges Reservoir Region (TGRR); however, it is affected by serious soil erosion. Assessing soil erosion dynamics in such watersheds is useful for identifying its causes and tendencies to develop, in turn providing scientific information for soil and water conservation at the regional scale. In the present study, the spatial and temporal patterns of soil erosion of a small agricultural watershed in central TGRR were investigated from 2002 to 2014 using the Revised Universal Soil Loss Equation (RUSLE) model, combined with Geographic Information Systems (GIS). The trends and processes of the overall soil erosion intensity were analyzed using spatial overlay analysis and the Markov transition matrix model, respectively. The spatial distribution of soil erosion rates within this watershed was relatively consistent during the study period. Erosion intensity was moderate, with a mean soil loss of 35.1 t·ha−1·year−1. Precipitation was a dominant factor influencing the intensity of soil erosion. Moreover, most erosion intensities shifted closely to middle grades from 2002 to 2008, and declined from 2008 to 2014, indicating that soil erosion in the Wangjiagou watershed has recently decreased. These results suggest that recently implemented integrated soil management practices were responsible for the recently observed erosion patterns.
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Athari, Zahra, Gholamreza Pezeshki Rad, Enayat Abbasi, Amirhossein Alibaygi, and Erik Westholm. "Designing a model for integrated watershed management in Iran." Water Policy 19, no. 6 (2017): 1143–59. http://dx.doi.org/10.2166/wp.2017.192.

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Abstract This study, which designs a model for integrated watershed management in Iran, is based on qualitative research applying a grounded theory methodology. Interviewing was the main tool for gathering data. Using snowball sampling, we chose three categories of informants: (a) academics and experienced natural resource experts, (b) representatives of active environmental non-governmental organizations, and (c) local people. Integrated watershed management was constituted from contextual conditions (i.e., physical conditions of watersheds, infrastructure, and constructed facilities); causative conditions (i.e., management challenges, climatic–environmental factors, and local people's socio-cultural and economic conditions); and intervention conditions (i.e., extension and education, motivation, attitude, and professional ethics factors). Integrated watershed management paves the way for strategies involving holistic and systems thinking, improved credit and financial resources, coordinative and general policymaking, stakeholder participation, and integrated information systems. These strategies result in environmental, economic, and social outputs.
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Dissertations / Theses on the topic "Watershed management Geographic information systems"

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King, John M. S. "Using geographic information systems to organize and coordinate Holistic Watershed Resource Management." Huntington, WV : [Marshall University Libraries], 2007. http://www.marshall.edu/etd/descript.asp?ref=772.

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Lien, Aaron M., Lacroix Kelly Mott, Katie Banister, and Sharon B. Megdal. "Using Watershed Assessments to Inform Planning for Rural Watersheds." College of Agriculture, University of Arizona (Tucson, AZ), 2014. http://hdl.handle.net/10150/324539.

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The Using Watershed Assessments to Inform Planning for Rural Watersheds publication provides a process for developing a baseline watershed assessment. In this guide we provide recommendations for engaging with stakeholders to assess natural resource conditions, as well as basic information to collect to create a baseline assessment. Watershed planning is not a simple, quick process. This guide addresses just the first steps of building a watershed assessment– understanding the current conditions and issues facing your watershed. Beyond the watershed assessment phase is the hard work of utilizing the information from the assessment, along with the results of additional stakeholder feedback, to develop an actual watershed plan. This guide provides an outline of how to complete the watershed assessment portion of your watershed planning effort, but does not provide a detailed step-by-step process. Rather, this document is intended as a resource to help guide you in your efforts by providing suggestions based on real-world watershed planning experience.
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Kaunda, Nalishebo Nally. "Exploring object-oriented GIS for watershed resource management." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2226.

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Thesis (M.A.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains vi, 87 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 81-85).
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Kleene, J. Wesley. "Watershed nonpoint source management system : a geographic information system approach /." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02272007-092409/.

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Cox, Christopher 1967. "Watershed master planning for St. Lucia using geographic information systems." Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27303.

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A method for estimating long-term average annual soil loss under different land management scenarios from the Marquis and Soufriere watersheds on St. Lucia is presented. The Revised Universal Soil Loss Equation (RUSLE) was used, and a GIS was employed to generate the required input parameters. Model execution and results were also generated within the GIS. Modelling soil loss for the different land management scenarios was based upon a land capability classification and associated conservation treatments. Soil losses under current agricultural land-use patterns were analyzed and compared to potential soil losses under conservation treatments following the criteria specified in the land capability classification. The model predicted substantial declines in soil loss where conservation treatments were assigned, as compared to soil loss under current land-use patterns. It was found that predicted soil losses from the Soufriere watershed were four times that predicted for the Marquis watershed for all the land management scenarios modelled. Of the input parameters in the model, slope steepness was most highly correlated to predicted soil loss. It is anticipated that the findings of this study will be used in the development of a decision support system for agricultural and forestry land planning on St. Lucia.
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McMaster, Alistair. "GIS in participatory catchment management : a case study in the Kat River Valley, Eastern Cape, South Africa." Thesis, Rhodes University, 2002. http://hdl.handle.net/10962/d1007602.

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In water resources management in South Africa, there is an emphasis on public participation. On a river catchment basis, one of the mechanisms for such participation is the establishment of catchment forums. However, members of catchment forums, particularly those coming from poor or rural communities, cannot be expected to engage in catchment management without having been enabled to do so. This thesis considers the use of GIS in the process of enabling the Kat River Valley Catchment Forum to better participate in catchment management. The research focus is on the use of GIS to facilitate an understanding of the Kat River Catchment and associated catchment concepts, and constructive communication and sharing, among the Catchment Forum. The GIS is used in the context of "GIS for Participatory Research", an outgrowth of Public Participation GIS (PPGIS), which focuses on GIS as a tool for empowerment within participatory processes. The study has used Action Research, situated in the Critical paradigm, as a methodology. The research has included seven Forum workshop processes and one series of in-village meetings. These engagements have involved map-based appraisals, issues and resource mapping, map-based planning, and the use of on-screen GIS for presentation and sharing. The use of GIS has facilitated the creation of customised maps, the integration of village-scale mapping into a catchment scale product, the presentation of synthesised data in digital and hardcopy format and, in so doing, has allowed catchment-scale appraisal. Outcomes enabling participation in catchment management have included developed mapping skills and an enhanced understanding of the catchment as a whole, and developed conceptual access to a decision-making language (or way of thinking), among participants. Furthermore, the Forum as a whole has identified common needs, and has developed a set of map-based action plans. The research process has yielded a number of lessons regarding "GIS for participation" and the participatory framework within which it takes place. Chief among these is that the GIS operator should take on the role of a participatory practitioner.
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Duke, Guy D., and University of Lethbridge Faculty of Arts and Science. "A GIS expert system for the delineation of watersheds in low-relief regions with rural infrastructure." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2003, 2003. http://hdl.handle.net/10133/203.

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Grid-based digital elevation models (DEMs) are used to simulate overland flow paths in hydrological models. The accuracy of these drainage patterns are dependent upon how well the DEM represents the terrain features that control runoff patterns. Often regional DEMs are not produced at scales small enough to represent rural infrastructure. The scale of runoff patterns that can be accurately modeled is, therefore, restricted, particularly when the terrain is relatively flat. The RIDEM (Rural Infrastructure Digital Elevation Model) model is presented that utilizes commonly available ancillary data to downscale grid-based runoff patterns. The resulting drainage patterns reflect drainage modifications imposed by rural infrastructure including: roads, ditches, culverts, and irrigation canals. Downscaling runoff patterns enables the completion of runoff studies at smaller scales. The model was implemented with the Oldman River watershed, Alberta, Canada to determine the spatial patterns of potential runoff contributing areas in three agricultural watersheds regularly contaminated by pathogens.
vii, 170 leaves : ill. (some col.) ; 29 cm.
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Serrano, Odean. "The assemblage of water quality parameters and urban feature parameters, utilizing a geographic information system model for the use of watershed management in the Dardenne Creek Watershed, St. Charles County, Missouri." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3172.

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Thesis (Ph. D.)--George Mason University, 2008.
Vita: p. 179. Thesis director: Lee M. Talbot. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Environmental Science and Public Policy. Title from PDF t.p. (viewed July 18, 2008). Includes bibliographical references (p. 148-149). Also issued in print.
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Elgendy, Mohamed Moustafa M. A. "Condition assessment and data integration for GIS-based storm water drainage infrastructure management systems." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Swindasz, Jaime Alison. "Land-use & Water Quality in the Headwaters of the Alafia River Watershed." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/6035.

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The objective of this study is to investigate land-use changes and water quality trends within the headwaters of the Alafia River watershed. Water quality data were obtained from the Environmental Protection Commission of Hillsborough County (EPCHC). Eleven water quality parameters selected for analysis included: temperature (˚C), dissolved oxygen (DO), percent saturation of DO, conductivity, pH, total phosphorous (TP), total nitrogen (TN), ammonium, chlorophyll-a (uncorrected), fecal coliforms, and enterococci. ArcMap® & SWFWMD data were used to map EPCHC sampling stations, calculate contributing watershed size, and determine land-use changes over the course of the sampling period; 17 stations were chosen for this study. The annual average for each of the water quality parameters was calculated along with a Mann-Kendall Trend Analysis in order to determine if any of the observed trends were statistically significant. A non-parametric Kendall’s tau-b correlation and stepwise multiple linear regression tests were conducted in SPSS to determine if any statistically significant relationships between water quality data, land-use and basin size exist. The land-use results showed every basin consisted of some percentage of Low Density Residential, Cropland & Pastureland, Reservoirs, and Streams & Lake Swamps. In addition, no basin comprised of more than 20% wetlands and often it appears urbanization was at the sacrifice of agricultural lands, as opposed to wetlands. The trends in water quality showed eight of the 17 basins had at least one statistically significant trend. Analysis of the data used for this study has shown instances where water quality measurements were in violation of state standards. Changes in water quality can be statistically related to changes in land-use and basin size as both the correlation and the regression showed consistent relationships between several LULC types and water quality parameters: increases in Commercial & Services causes increased nutrients (TP and TN); Cropland & Pastureland causes decreased DO and DO% Saturation; increases in Tree Crops causes a decrease in pH; increasing Other Open Lands Rural causes a decrease in temperature; and increases in Shrub & Brushland cause decreases in conductivity and pH. As these relationships are based on the results from both analyses, it would seem that these relationships are the most reliable, and are key results of the study. These key relationships might be areas that future water resource managers may want to focus on in order to more efficiently improve or regulate water quality within headwater streams.
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Books on the topic "Watershed management Geographic information systems"

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Mortenson, Dorothy C. Geographic information system documentation of watershed data for Direct/Delayed Response Project, Northeast database: Project summary. U.S. Environmental Protection Agency, Environmental Research Laboratory, 1989.

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Mortenson, Dorothy C. Geographic information system documentation of watershed data for Direct/Delayed Response Project, Southern Blue Ridge Province database. U.S. Environmental Protection Agency, Environmental Research Laboratory, 1989.

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Wen, Yuming. Watershed land cover change in Guam. Water and Environmental Research Institute of the Western Pacific, University of Guam, 2009.

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Mortenson, Dorothy C. Geographic information system documentation of watershed data for Direct/Delayed Response Project, Southern Blue Ridge Province database: Project summary. U.S. Environmental Protection Agency, Environmental Research Laboratory, 1989.

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Luo, Qiang Charles. Calibration and application of LUOM in Southern Guam watersheds with and without flow data. Water and Environmental Research Institute of the Western Pacific (WERI), University of Guam, 2010.

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Symposium, on Geographic Information Systems and Water Resources (1993 Mobile Ala ). Proceedings of the Symposium on Geographic Information Systems and Water Resources. AWRA, 1993.

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Khosrowpanah, Shahram. Spatial distribution of badlands in the ugum watershed: Characterization and temporal anaysis. Water and Environmental Research Institute of the Western Pacific (WERI), University of Guam, 2010.

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Wen, Yuming. Land cover accuracy assessment for Southern Guam. Water and Environmental Research Institute of the Western Pacific, University of Guam, 2009.

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Kim, Eun Hyung. River corridors: Present opportunities for computer-aided landscape planning. Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1991.

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Blaszczynski, Jacek S. Watershed soil erosion, runoff, and sediment yield prediction using geographic information systems: A manual of GIS procedures. U.S. Dept. of the Interior, Bureau of Land Management, BLM Service Center, 1994.

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Book chapters on the topic "Watershed management Geographic information systems"

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Pastor, John, and Carol A. Johnston. "Using Simulation Models and Geographic Information Systems to Integrate Ecosystem and Landscape Ecology." In Watershed Management. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4382-3_11.

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Ramsankaran, RAAJ, D. Sathish Kumar, and Eldho. "Remote Sensing and Geographical Information Systems in Watershed Management: An Overview." In Sustainable Water Resources Management. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784414767.ch03.

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Maliva, Robert, and Thomas Missimer. "Geographic Information Systems." In Arid Lands Water Evaluation and Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29104-3_19.

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Adinarayana, J. "Watershed management information systems." In Applications of Systems Approaches at the Farm and Regional Levels Volume 1. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5416-1_32.

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Gray, Paul, Thomas A. Horan, and James B. Pick. "Geographic Information Systems." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_383.

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Tomaszewski, Brian. "Geographic Information Systems." In Geographic Information Systems (GIS) for Disaster Management. CRC Press, 2020. http://dx.doi.org/10.4324/9781351034869-3.

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Nandi, D., P. C. Sahu, and S. Goswami. "Delineation of Groundwater Potential Zones in Hard Rock Terrain Using Remote Sensing and Geographical Information System (GIS) Techniques." In Wastewater Reuse and Watershed Management. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429433986-26.

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Ausiello, Giorgio. "Geographic Information Management — The ESPRIT ”Basic Goods” Action." In Geographic Database Management Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77605-2_1.

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Embley, David W., and George Nagy. "A Multi-layered Approach to Query Processing in Geographic Information Systems." In Geographic Database Management Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77605-2_16.

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Soares, Valéria Gonçalves, and Ana Carolina Salgado. "Visual Querying in Geographic Information Systems." In Visual and Multimedia Information Management. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35592-4_18.

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Conference papers on the topic "Watershed management Geographic information systems"

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Preusch, David P., and Massoud Rezakhani. "Integrating Geographic Information Systems (GIS) and Watershed Modeling." In 29th Annual Water Resources Planning and Management Conference. American Society of Civil Engineers, 1999. http://dx.doi.org/10.1061/40430(1999)154.

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Leder, Joan. "NJ-GeoWeb, GIS for Watershed Management." In International Symposium on Environmental Protection and Planning: Geographic Information Systems (GIS) and Remote Sensing (RS) Applications. Cevre Koruma ve Arastirma Vakfi, 2012. http://dx.doi.org/10.5053/isepp.2011.2-2.

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Deb, Debasis, and Bipul Talukdar. "Remote Sensing and Geographic Information System for Assessment, Monitoring, and Management of Flooded and Waterlogged Areas, North District of Tripura State, India." In Watershed Management Conference 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41143(394)92.

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"Identification of Potential Landslide Using Remote Sensing and Geographic Information System in Upstream of Kayangan Watershed, Kulonprogo Regency, Indonesia." In International Conference on Disaster Management and Civil Engineering. Universal Researchers, 2015. http://dx.doi.org/10.17758/ur.u1015314.

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He, Chansheng, and Thomas E. Croley. "Hydrologicalal Resource Sheds and Water Quality Management in North America's Great Lakes Watersheds." In International Symposium on Environmental Protection and Planning: Geographic Information Systems (GIS) and Remote Sensing (RS) Applications. Cevre Koruma ve Arastirma Vakfi, 2012. http://dx.doi.org/10.5053/isepp.2011.2-5.

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Fedchenko, O., I. Pampukha, P. Savkov, V. Loza, M. Nikiforov, and R. Koltsov. "Geographic Information Systems in Management Activity." In 18th International Conference on Geoinformatics - Theoretical and Applied Aspects. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201902118.

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Fogg, Jeth A. "Port Crisis Management Using Geographic Information Systems." In Ports Conference 2004. American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40727(2004)17.

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Aydinoglu, Arif. "OPEN DATA MANAGEMENT ISSUES FOR GEOGRAPHIC INFORMATION SYSTEMS." In 16th International Multidisciplinary Scientific GeoConference SGEM2016. Stef92 Technology, 2016. http://dx.doi.org/10.5593/sgem2016/b21/s08.099.

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Benavides, Jude A., Brian Pietruszewski, Brian Kirsch, and Philip Bedient. "Analyzing Flood Control Alternatives for the Clear Creek Watershed in a Geographic Information Systems Framework." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)39.

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Silva, Marcio Alexandre Pereira da, Paulo Caetano da Silva, and Jorge Alberto Prado de Campos. "XBRL GIS – INTEGRATING GEOGRAPHIC INFORMATION IN XBRL DOCUMENTS." In 10th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2013. http://dx.doi.org/10.5748/9788599693094-10contecsi/ps-384.

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Reports on the topic "Watershed management Geographic information systems"

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Espinoza, J. Jr, C. D. Dean, and H. M. Armstrong. Geographic Information Systems-Transportation ISTEA management systems server-net prototype pooled fund study: Phase B summary. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/501532.

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Cooper, Christopher, Jacob McDonald, and Eric Starkey. Wadeable stream habitat monitoring at Congaree National Park: 2018 baseline report. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2286621.

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The Southeast Coast Network (SECN) Wadeable Stream Habitat Monitoring Protocol collects data to give park resource managers insight into the status of and trends in stream and near-channel habitat conditions (McDonald et al. 2018a). Wadeable stream monitoring is currently implemented at the five SECN inland parks with wadeable streams. These parks include Horseshoe Bend National Military Park (HOBE), Kennesaw Mountain National Battlefield Park (KEMO), Ocmulgee Mounds National Historical Park (OCMU), Chattahoochee River National Recreation Area (CHAT), and Congaree National Park (CONG). Streams at Congaree National Park chosen for monitoring were specifically targeted for management interest (e.g., upstream development and land use change, visitor use of streams as canoe trails, and potential social walking trail erosion) or to provide a context for similar-sized stream(s) within the park or network (McDonald and Starkey 2018a). The objectives of the SECN wadeable stream habitat monitoring protocol are to: Determine status of upstream watershed characteristics (basin morphology) and trends in land cover that may affect stream habitat, Determine the status of and trends in benthic and near-channel habitat in selected wadeable stream reaches (e.g., bed sediment, geomorphic channel units, and large woody debris), Determine the status of and trends in cross-sectional morphology, longitudinal gradient, and sinuosity of selected wadeable stream reaches. Between June 11 and 14, 2018, data were collected at Congaree National Park to characterize the in-stream and near-channel habitat within stream reaches on Cedar Creek (CONG001, CONG002, and CONG003) and McKenzie Creek (CONG004). These data, along with the analysis of remotely sensed geographic information system (GIS) data, are presented in this report to describe and compare the watershed-, reach-, and transect-scale characteristics of these four stream reaches to each other and to selected similar-sized stream reaches at Ocmulgee Mounds National Historical Park, Kennesaw Mountain National Battlefield Park, and Chattahoochee National Recreation Area. Surveyed stream reaches at Congaree NP were compared to those previously surveyed in other parks in order to provide regional context and aid in interpretation of results. edar Creek’s watershed (CONG001, CONG002, and CONG003) drains nearly 200 square kilometers (77.22 square miles [mi2]) of the Congaree River Valley Terrace complex and upper Coastal Plain to the north of the park (Shelley 2007a, 2007b). Cedar Creek’s watershed has low slope and is covered mainly by forests and grasslands. Cedar Creek is designated an “Outstanding Resource Water” by the state of South Carolina (S.C. Code Regs. 61–68 [2014] and S.C. Code Regs. 61–69 [2012]) from the boundary of the park downstream to Wise Lake. Cedar Creek ‘upstream’ (CONG001) is located just downstream (south) of the park’s Bannister Bridge canoe landing, which is located off Old Bluff Road and south of the confluence with Meyers Creek. Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ (CONG002 and CONG003, respectively) are located downstream of Cedar Creek ‘upstream’ where Cedar Creek flows into the relatively flat backswamp of the Congaree River flood plain. Based on the geomorphic and land cover characteristics of the watershed, monitored reaches on Cedar Creek are likely to flood often and drain slowly. Flooding is more likely at Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ than at Cedar Creek ‘upstream.’ This is due to the higher (relative to CONG001) connectivity between the channels of the lower reaches and their out-of-channel areas. Based on bed sediment characteristics, the heterogeneity of geomorphic channel units (GCUs) within each reach, and the abundance of large woody debris (LWD), in-stream habitat within each of the surveyed reaches on Cedar Creek (CONG001–003) was classified as ‘fair to good.’ Although, there is extensive evidence of animal activity...
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Bowles, David, Michael Williams, Hope Dodd, et al. Protocol for monitoring aquatic invertebrates of small streams in the Heartland Inventory & Monitoring Network: Version 2.1. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284622.

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The Heartland Inventory and Monitoring Network (HTLN) is a component of the National Park Service’s (NPS) strategy to improve park management through greater reliance on scientific information. The purposes of this program are to design and implement long-term ecological monitoring and provide information for park managers to evaluate the integrity of park ecosystems and better understand ecosystem processes. Concerns over declining surface water quality have led to the development of various monitoring approaches to assess stream water quality. Freshwater streams in network parks are threatened by numerous stressors, most of which originate outside park boundaries. Stream condition and ecosystem health are dependent on processes occurring in the entire watershed as well as riparian and floodplain areas; therefore, they cannot be manipulated independently of this interrelationship. Land use activities—such as timber management, landfills, grazing, confined animal feeding operations, urbanization, stream channelization, removal of riparian vegetation and gravel, and mineral and metals mining—threaten stream quality. Accordingly, the framework for this aquatic monitoring is directed towards maintaining the ecological integrity of the streams in those parks. Invertebrates are an important tool for understanding and detecting changes in ecosystem integrity, and they can be used to reflect cumulative impacts that cannot otherwise be detected through traditional water quality monitoring. The broad diversity of invertebrate species occurring in aquatic systems similarly demonstrates a broad range of responses to different environmental stressors. Benthic invertebrates are sensitive to the wide variety of impacts that influence Ozark streams. Benthic invertebrate community structure can be quantified to reflect stream integrity in several ways, including the absence of pollution sensitive taxa, dominance by a particular taxon combined with low overall taxa richness, or appreciable shifts in community composition relative to reference condition. Furthermore, changes in the diversity and community structure of benthic invertebrates are relatively simple to communicate to resource managers and the public. To assess the natural and anthropo-genic processes influencing invertebrate communities, this protocol has been designed to incorporate the spatial relationship of benthic invertebrates with their local habitat including substrate size and embeddedness, and water quality parameters (temperature, dissolved oxygen, pH, specific conductance, and turbidity). Rigid quality control and quality assurance are used to ensure maximum data integrity. Detailed standard operating procedures (SOPs) and supporting information are associated with this protocol.
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