Site suitability analysis

场地适宜性分析
  • 文章类型: Journal Article
    建筑和拆除废物管理(CDWM)包括收集、运输,processing,以及处理建筑和拆除(C&D)废物,收集和运输笨重和大量的C&D废物对经济和环境的影响很大。转运站(TS)是各种废物管理(WM)设施之间的链接,在废物的收集和运输中起着重要作用。因此,将TS定位在合适的位置有助于减少整体影响。在CDWM中使用地理信息系统(GIS)分析工具是进行站点适用性研究的有力策略。以哥印拜陀为例,印度,在这项研究中,使用基于GIS的多准则分析来定位C&D废物TS。场地适宜性分析的标准是根据文献综述选择的,法规,和专家的意见。使用层次分析法(AHP)估计所选标准的权重,并在GIS环境中通过加权叠加分析(WOA)创建最终的适宜性图。结果为当地决策者在所选研究区域中定位C&D废物转运站提供了第一手信息,并报告整个区域的12%“非常适合”转运站位置。
    Construction and Demolition Waste Management (CDWM) includes collecting, transporting, processing, and disposing construction and demolition (C&D) waste, where collection and transportation of bulky and voluminous C&D waste contribute significantly to economic and environmental impacts. Transfer station (TS) being a link between various waste management (WM) facilities plays a significant role in collection and transportation of waste. Thus, locating TS at suitable site can help in reducing the overall impacts. Employment of Geographic Information System (GIS) analysis tools in CDWM is a powerful strategy for site suitability study. A case study in Coimbatore, India, is presented in this study using GIS-based multi-criteria analysis for locating C&D waste TS. The criteria for site suitability analysis are chosen based on literature review, regulations, and experts\' opinions. Weights of the chosen criteria are estimated using analytic hierarchy process (AHP), and the final suitability map is created by weighted overlay analysis (WOA) in GIS environment. Results provide first-hand information for local decision makers to locate C&D waste transfer station in the chosen study region and report that 12% of the entire area is \"highly suitable\" for transfer station location.
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  • 文章类型: Journal Article
    蓖麻(RicinuscommunisL.)是一种重要的工业作物,具有广泛的工业和制药应用。巴西是最大的蓖麻生产国之一。在2004年至2010年之间,蓖麻种植受到了刺激,重点是生物柴油生产。然而,这不足以利用巴西蓖麻的生产,主要是由于缺乏结构化贸易以及与其他廉价原材料竞争生产生物柴油。尽管失败了,该物种是大豆第二作物轮作的绝佳替代品,玉米,豆子,和棉花种植区,因为石油对其他产品非常有价值。此外,它引起了巴西生产者和研究人员的注意,因为它被认为是一种耐缺水的植物,并且极易受到灰霉病的影响,作物最后阶段高湿度所带来的疾病。例如,它在塞拉多地区的第二作物种植,降雨发生在作物的早期阶段,当植物达到生产的最后阶段时停止,取得了成功,并显示出巨大的希望。当前的研究旨在评估整个巴西种植蓖麻的环境的适用性,结合与灰霉病发生率相关的变量,并根据从文献中获得的现有蓖麻试验数据确认这些发现。场地适宜性分析确定,7499万公顷(占巴西领土的8.8%)非常适合第二次收获期间的蓖麻生产,大部分位于东北和中西部地区。这些结果令人惊讶,因为巴西目前约有7.8%(6681万公顷)的领土被农业(谷物,水果,蔬菜,和多年生作物)。这项研究的结果提供了一种使用与农艺和疾病特征相关的数据对作物进行场地适宜性的方法。与灰霉病一样,通常会导致蓖麻生产的重大损失。此外,这一分析为巴西通过利用第二作物种植增加蓖麻产量和满足世界对其石油需求的巨大潜力提供了证据。
    Castor (Ricinus communis L.) is an important industrial crop with a wide range of industrial and pharmaceutical applications. Brazil is among the largest castor-producing countries. Between 2004 and 2010, castor cultivation was stimulated with an emphasis towards biodiesel production. However, this was not enough to leverage the production of castor in Brazil, mainly due to the lack of structured trade and the competition with other cheaper raw materials for the production of biodiesel. Despite this failure, the species presents itself as an excellent alternative for crop rotation in the second crop among soybean, corn, beans, and cotton cultivation areas as the oil is highly valuable for other products. Moreover, it has drawn the attention of producers and researchers in Brazil for this potential rotation as it is considered a plant tolerant of water-deficiency and is highly susceptible to gray mold, a disease favored by high humidity in the final stages of the crop. For instance, its cultivation in the second crop in Cerrado regions, where rains occur in the early stages of the crop and cease when the plants reach the final stage of production, has been successful and shows great promise. The current study aimed to evaluate the suitability of environments throughout Brazil to grow castor, incorporating variables associated with the incidence of gray mold and confirm these findings based on existing castor trial data obtained from the literature. The site suitability analysis determined that 74.99 million hectares - 8.8% of Brazilian territory - are highly suitable for castor production during second harvest, mostly located in the Northeastern and Midwestern regions. These results are surprising since Brazil currently has around 7.8% (∼66.81 million hectares) of its territory occupied with agriculture (grains, fruits, vegetables, and perennial crops). The findings of this study provide a method to perform site suitability for crops using data associated with agronomic and disease characteristics, as is the case with gray mold that often results in significant losses in castor production. Also, this analysis provides evidence for the great potential of Brazil to increase castor production and meet the world demand for its oil through utilization of second-crop cultivation.
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  • 文章类型: Journal Article
    由于牡蛎礁恢复具有减轻富营养化和其他生态系统服务的优势,因此引起了全世界的关注。牡蛎恢复的必要先决条件是确定合适的地点。结合蒙特卡洛模拟,建立了Gigas鱼礁恢复适宜性指数模型,层次分析法,水动力建模和地理信息系统及其在莱州湾(LZB)的应用,中国。模型输出和敏感性分析表明,东部沿海地区,南部,LZB的西部是最适合的修复地点,占LZB的15.3%。LZB的中部和北部是受水深和流速限制的不合适地点。船舶水道和海洋工业是导致历史记录牡蛎礁退化的主要因素。该模型可以支持牡蛎恢复计划,并可应用于其他牡蛎物种与调整的指标体系。
    The oyster reef restoration has raised concerns worldwide due to the advantage of alleviating eutrophication and other ecosystem services. The necessary prerequisite for oyster restoration is identifying suitable sites. A restoration suitability index model for C. gigas reefs was built by combining the Monte Carlo simulation, analytic hierarchy process, hydrodynamic modelling and geographic information systems and applied in Laizhou Bay (LZB), China. The model outputs and sensitivity analysis showed that the east coastal area, the southern part, and the western part of LZB were restoration sites with the maximum suitability, accounting for 15.3 % of LZB. The middle and northern parts of LZB were unsuitable sites restricted by water depth and flow velocity. Ship waterways and marine industries were the major factors causing degradation of the historically recorded oyster reefs. This model can support oyster restoration planning, and can be applied to other oyster species with adjusted indicator system.
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  • 文章类型: Journal Article
    贝类和海藻养殖是减轻沿海环境富营养化后果的测试工具,然而,与许多其他海洋经济活动一样,它应该是海洋空间规划的主题,以指定合适的地点。本研究提出了在富营养化的泻湖生态系统中临时斑马贻贝养殖的选址框架,主要是为了补救目的。应用了基于GIS的多准则方法,结合经验地图的数据,数值模型和遥感估计适宜性参数。考虑到15个环境和社会经济标准,对合适区域进行选址和优先排序,这有助于4个优化模型(沉降,贻贝的生长和生存,环境和社会经济)和3种代表贻贝种植临时目标的预定义情景:口齿生产,生物质生产和生物修复。利用层次分析法评估每个标准的相对重要性。计算了站点适宜性指数,并总结了3种情景和总体适宜性图的站点选择分析的最终结果。四个适合性类别(不适合,至少,适度和最合适)的应用,并相应地选择了3个最合适的临时斑马贻贝栽培区和12个候选地点。本研究中提出的综合方法可以调整为指定其他河口泻湖生态系统中的斑马贻贝养殖地点,或为生物修复目的而种植其他贻贝。本研究中设计的分析框架和工作流程也可用于解决其他与水产养殖相关的空间规划问题。
    Farming of shellfish and seaweeds is a tested tool for mitigating eutrophication consequences in coastal environments, however as many other marine economic activities it should be a subject of marine spatial planning for designating suitable sites. The present study proposes site selection framework for provisional zebra mussel farming in a eutrophic lagoon ecosystem, aimed primarily at remediation purposes. GIS-based multi-criteria approach was applied, combining data from empirical maps, numerical models and remote sensing to estimate suitability parameters. Site selection and prioritisation of suitable areas considered 15 environmental and socio-economic criteria, which contributed to 4 optimisation models (settlement, growth and survival of mussels, environmental and socio-economic) and 3 predefined scenarios representing provisional goals of mussel cultivation: spat production, biomass production and bioremediation. The relative importance of each criterion was assessed utilizing the Analytical Hierarchy Process. Site suitability index was calculated and the final result of the site selection analysis was summarized for 3 scenarios and overall suitability map. Four suitability classes (unsuitable, least, moderately and most suitable) were applied, and 3 most suitable zones for provisional zebra mussel cultivation with 12 candidate sites were selected accordingly. The integrated approach presented in this study can be adjusted for designating zebra mussel farming sites in other estuarine lagoon ecosystems, or cultivation of other mussel species for bioremediation purposes. The analytical framework and the workflow designed in this study are also adoptable for addressing other aquaculture-related spatial planning issues.
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