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Citizen science flow – an assessment of simple streamflow measurement methods

机译:公民科学流量–简单流量测量方法的评估

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Wise management of water resources requires data. Nevertheless, the amount of streamflow data being collected globally continues to decline. Generating hydrologic data together with citizen scientists can help fill this growing hydrological data gap. Our aim herein was to (1)?perform an initial evaluation of three simple streamflow measurement methods (i.e., float, salt dilution, and Bernoulli run-up), (2)?evaluate the same three methods with citizen scientists, and (3)?apply the preferred method at more sites with more people. For computing errors, we used midsection measurements from an acoustic Doppler velocimeter as reference flows. First, we (authors) performed 20 evaluation measurements in headwater catchments of the Kathmandu Valley, Nepal. Reference flows ranged from 6.4 to 240?L?s sup?1/sup . Absolute errors averaged 23?%, 15?%, and 37?% with average biases of 8?%, 6?%, and 26?% for float, salt dilution, and Bernoulli methods, respectively. Second, we evaluated the same three methods at 15 sites in two watersheds within the Kathmandu Valley with 10 groups of citizen scientists (three to four members each) and one “expert” group (authors). At each site, each group performed three simple methods; experts also performed SonTek FlowTracker midsection reference measurements (ranging from 4.2 to 896?L?s sup?1/sup ). For float, salt dilution, and Bernoulli methods, absolute errors averaged 41?%, 21?%, and 43?% for experts and 63?%, 28?%, and 131?% for citizen scientists, while biases averaged 41?%, 19?%, and 40?% for experts and 52?%, 7?%, and 127?% for citizen scientists, respectively. Based on these results, we selected salt dilution as the preferred method. Finally, we performed larger-scale pilot testing in week-long pre- and post-monsoon Citizen Science Flow campaigns involving 25 and 37 citizen scientists, respectively. Observed flows ( n=131 pre-monsoon; n=133 post-monsoon) were distributed among the 10 headwater catchments of the Kathmandu Valley and ranged from 0.4 to 425?L?s sup?1/sup and from 1.1 to 1804?L?s sup?1/sup in pre- and post-monsoon, respectively. Future work should further evaluate uncertainties of citizen science salt dilution measurements, the feasibility of their application to larger regions, and the information content of additional streamflow data.
机译:水资源的明智管理需要数据。然而,全球范围内收集的流量数据量继续下降。与公民科学家一起生成水文数据可以帮助填补这一日益扩大的水文数据空白。我们的目的是(1)对三种简单的流量测量方法(即浮法,盐稀释和伯努利运行)进行初始评估,(2)与公民科学家对这三种方法进行评估,以及(3) )?将首选方法应用到更多人多的网站上。为了计算误差,我们将声学多普勒测速仪的中段测量值用作参考流。首先,我们(作者)在尼泊尔加德满都谷地的水源流域进行了20次评估测量。参考流量范围为6.4至240?L?s ?1 。浮法,盐稀释法和伯努利法的绝对误差平均分别为23%,15%和37%,平均偏差分别为8%,6%和26%。其次,我们在加德满都谷地两个流域的15个地点评估了相同的三种方法,共有10组公民科学家(每组3至4名成员)和一个“专家”组(作者)。在每个站点,每个小组执行三种简单的方法:专家还进行了SonTek FlowTracker中段参考测量(范围从4.2到896?L?s ?1 )。对于浮法,盐稀释法和伯努利方法,专家的绝对误差平均为41%,21%和43%,公民科学家的绝对误差平均为63%,28%和131%。专家分别为19%和40%,公民科学家分别为52%,7%和127%。根据这些结果,我们选择盐稀释作为首选方法。最后,我们在为期一周的季风前后的“公民科学流”活动中进行了大规模的先导测试,分别涉及25位和37位公民科学家。观测到的流量(季风前为n = 131;季风后为n = 133)分布在加德满都谷地的10个源头水域之间,流量范围为0.4至425?L?s ?1 和1.1在季风前后分别达到1804?L?s ?1 。未来的工作应进一步评估公民科学盐稀释测量的不确定性,将其应用于更大区域的可行性以及其他流量数据的信息内容。

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