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Deciding the future: Informing the development of a decision support system for water resource management by Great Lakes region land use planners.

机译:决定未来:指导大湖区土地使用规划者开发水资源管理决策支持系统。

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The objective of this dissertation is to inform the development of the Great Lakes decision support system by 1) exploring user needs (i.e., data/information, tools, and abilities), 2) revealing differing viewpoints shared by system users, 3) identifying potential barriers and opportunities that exist to exceeding EPA drinking water quality standards, and 4) developing a handful of land use indicators of water quality that could be incorporated into the systems data/information database.;Although 31% of land use planners have access to decision support systems (even seldomly) during the planning process, only 43% have used those systems to better understand the effect of planning on water quality. Thus, research presented chapter 2 of this dissertation makes use of the technology acceptance model theoretical framework to guide both quantitative and qualitative data collection techniques (i.e., survey, Q-methodology, and focus groups), aimed at exploring Great Lakes decision support system data/information, tools, and functionality needs. Current uses of technology and future vision for technology use in the next 5-10 years were also examined. Results from these studies indicate that land use planners and outreach facilitators (i.e., Sea Grant extension staff) throughout the Great Lakes states believe the decision support system should include user defined land use change modeling scenarios, information related to the potential impact of those scenarios on water resources, tools to aid in the identification of natural resource assets within planning jurisdictions, and data/information pertaining to the current water quality status of both surface and groundwater sources. They also see the use of technology in the next 5-10 years increasing by allowing for more public participation in the land use planning process, provide opportunities for remote data gathering using smart phone apps, allow for easier data sharing, and increase the availability of open-source software and prediction models (e.g., land use and climate models).;Guided by the theory of planned behavior, phone interviews were conducted to explore land use planner perceptions of making planning decisions/recommendation with the goal of exceeding current EPA drinking water regulatory standards in chapter 4 of this dissertation. Only 50% of the planners interviewed had some familiarity with the EPA drinking water quality regulatory standards. Beliefs concerning the supportiveness of co-workers, fellow land use planners, community citizen, family, and friends showed mixed results. Common barriers/constraints cited to making planning decisions/recommendations in an effort to not only meet, but exceed, drinking water standards included the lack of funding and political support, as well as the lack of needed expertise to identify ways in which land use planning could be used to impact the quality of drinking water within planning jurisdictions. Opportunities listed included items such as the ability to collaborate with other planning jurisdictions, decreases in stormwater and utility costs, the potential for jurisdictions to receive environmental grants and awards, and the potential to attract new residents into cities. The Great Lakes decision support system may be able to help land use planners overcome some of the barriers and take advantage of the opportunities related to making decisions/recommendations to improve water quality beyond current EPA standards.;Chapter 4 focuses on the development of land use metrics, via GIS analysis, that can serve as indicators of water quality within HUC8's throughout the Great Lakes drainage basin. Future urban growth predictions for the years 2010-2060, following a "business as usual" rate and pattern of urban development were used. Results from these study watersheds predict that by the year 2060, 58 watersheds within the Great Lakes drainage basin have over 50% of their land area significantly altered by anthropogenic land uses (i.e., agriculture production and urban development). For all study years, urban development along Great Lakes shorelines was highest within 15 km from the shoreline, peaking at 5-10 km. In addition, most watersheds within the Great Lakes drainage basin are expected to see increases in the amount of both nitrogen and phosphorus loading into water surface water bodies. The final dissertation chapter emphasizes the need for future research related to 1) potential impacts of land use change on socio-ecological systems, 2) developing a better understand social pressures driving land use planning decisions, and 3) further development of water quality indicators and ecological "tipping point" information. (Abstract shortened by UMI.).
机译:本文的目的是通过以下方面为大湖决策支持系统的开发提供信息:1)探索用户需求(即数据/信息,工具和能力); 2)揭示系统用户共享的不同观点; 3)识别潜在的问题超过EPA饮用水水质标准存在的障碍和机遇,以及4)开发一些可用于系统数据/信息数据库的水质土地利用指标;尽管31%的土地利用规划者有权做出决定支持系统(甚至很少)在计划过程中,只有43%的人使用这些系统来更好地了解计划对水质的影响。因此,本论文第二章介绍的研究利用技术接受模型的理论框架来指导定量和定性数据收集技术(即调查,Q方法和焦点小组),旨在探索大湖区决策支持系统数据/信息,工具和功能需求。还研究了当前的技术使用以及未来5-10年的技术使用前景。这些研究的结果表明,五大湖州的土地使用规划人员和外展促进者(即海洋赠款推广人员)认为,决策支持系统应包括用户定义的土地使用变化建模方案,以及与这些方案对环境的潜在影响有关的信息。水资源,在规划辖区内协助识别自然资源资产的工具,以及与地表水和地下水源当前水质状况有关的数据/信息。他们还认为,通过允许更多的公众参与土地使用规划过程,为使用智能手机应用程序进行远程数据收集提供机会,允许更轻松的数据共享以及增加土地使用的可用性,未来5-10年内技术的使用将会增加。开源软件和预测模型(例如,土地利用和气候模型);在计划行为的理论指导下,进行了电话采访,以探索土地利用规划者对制定计划决策/建议的看法,目的是超越目前的EPA饮用量本文第4章中的水管理标准。受访的规划人员中只有50%熟悉EPA饮用水水质监管标准。关于同事,土地使用规划者,社区居民,家人和朋友的支持的信念,结果好坏参半。为达到,超过饮用水标准而做出规划决策/建议的常见障碍/制约因素包括缺乏资金和政治支持,以及缺乏确定土地利用规划方式的必要专业知识可用于影响规划辖区内的饮用水质量。列出的机会包括诸如与其他规划辖区合作的能力,减少雨水和公用事业成本,辖区获得环境补助金和奖励的潜力以及吸引新居民进入城市的潜力等项目。大湖区决策支持系统可能能够帮助土地使用规划者克服一些障碍,并利用与制定决策/建议相关的机会来改善水质,使其超出当前的EPA标准。第4章着眼于土地利用的发展通过GIS分析得出的指标可作为HUC8在整个大湖流域中的水质指标。遵循“照常营业”的速度和城市发展模式,对2010-2060年的未来城市增长进行了预测。这些研究流域的结果表明,到2060年,大湖流域内的58个流域的土地面积有50%以上因人为土地利用方式(即农业生产和城市发展)而发生了显着变化。在所有研究年中,大湖沿岸的城市发展在距海岸线15公里以内最高,最高5-10公里。此外,预计五大湖流域内的大多数流域的氮和磷向水面水体的负载量都会增加。论文的最后一章强调了与以下方面有关的未来研究的必要性:1)土地用途变化对社会生态系统的潜在影响; 2)对驱动土地用途规划决策的社会压力形成更好的理解; 3)进一步开发水质指标和生态“引爆点”信息。 (摘要由UMI缩短。)。

著录项

  • 作者

    Robinson, Kimberly Dawn.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Natural Resource Management.;Environmental Management.;Land Use Planning.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 335 p.
  • 总页数 335
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:22

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