Suppr超能文献

实现全球河流生态系统健康评估的客观化、定量化和可比化。

Making global river ecosystem health assessments objective, quantitative and comparable.

机构信息

College of Water Sciences, Beijing Normal University, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, PR China; ICube, UdS, CNRS (UMR 7357), 300 Bld Sebastien Brant, CS 10413, 67412 Illkirch, France.

School of Geography, Beijing Normal University, Beijing 100875, PR China.

出版信息

Sci Total Environ. 2019 Jun 1;667:500-510. doi: 10.1016/j.scitotenv.2019.02.379. Epub 2019 Feb 27.

Abstract

Assessing and comparing global river ecosystem health in an objective and quantitative way remains a major challenge. In this study the widely-used semi-quantitative methods Rapid Biological assessment Protocols (RBPs) was used to determine the health of rivers. The findings were then compared to the results derived from our new UAV (Unmanned aerial vehicles) orthophotographic imagery method. This method quantitatively and objectively assesses river ecosystem health. As a comparison, our method was used to quantitatively measure distance and areas of a range of hydrological and biological attributes thus improving the accuracy of distance- and area-related indices, consequently avoiding subjective errors in these estimations that is fraught in methods like the RBPs. To strengthen the objectivity of the assessment the weights of these indices were objectively determined using the entropy weighting method. This new method was then tested using 9551 UAV orthophotographs taken over six field campaigns. It performed satisfactorily, showing that in our study area the health status of mountain rivers was the best with the highest score of 0.94 out of 1.0. Temporally, the health of the river was better in summer (0.65) compared with that in autumn (0.40). Changes in river ecosystem health were driven by variations in biology and water quality. In contrast the outputs of RBPs, especially in relation to distance and area indices, had ~ 20% uncertainty due to visual errors and subjectivity in estimations by observers. The UAV orthophotographic imaging method proposed in this study can improve the ability to compare the health of rivers across different periods and regions throughout the globe.

摘要

客观、定量地评估和比较全球河流生态系统健康仍然是一个主要挑战。在这项研究中,使用了广泛使用的半定量方法——快速生物评估方案(RBPs)来确定河流的健康状况。然后将这些发现与我们新的无人机(Unmanned aerial vehicles)正射影像方法的结果进行比较。该方法定量且客观地评估了河流生态系统健康。作为比较,我们的方法用于定量测量一系列水文和生物属性的距离和面积,从而提高与距离和面积相关的指数的准确性,从而避免 RBPs 等方法中存在的主观误差。为了增强评估的客观性,使用熵权法客观地确定了这些指数的权重。然后使用在六个野外考察中拍摄的 9551 张无人机正射影像对这种新方法进行了测试。结果令人满意,表明在我们的研究区域,山地河流的健康状况最好,得分为 1.0 分中的 0.94。从时间上看,夏季(0.65)的河流健康状况优于秋季(0.40)。河流生态系统健康的变化是由生物学和水质的变化驱动的。相比之下,由于观察者的视觉误差和主观估计,RBPs 的输出结果,尤其是与距离和面积指数相关的结果,存在约 20%的不确定性。本研究提出的无人机正射影像成像方法可以提高在不同时期和全球不同地区比较河流健康状况的能力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验