Wang Zhaocheng, Vivoni Enrique R
School of Sustainable Engineering and the Built Environment Arizona State University Tempe AZ USA.
School of Earth and Space Exploration Arizona State University Tempe AZ USA.
Geophys Res Lett. 2022 Aug 16;49(15):e2022GL098729. doi: 10.1029/2022GL098729. Epub 2022 Aug 4.
Determining the flow regime of non-perennial rivers is critical in hydrology. In this study, we developed a new approach using CubeSat imagery to detect streamflow presence using differences in surface reflectance for areas within and outside of a river reach. We calibrated the approach with streamflow records in the Hassayampa River of Arizona over 3 years (2019-2021), finding good agreement in the annual fractions of flowing days at stream gages ( = 0.82, < 0.0001). Subsequently, annual fractions of flowing days were derived at 90 m intervals along the Hassayampa River, finding that 12% of reaches were classified as intermittent, with the remaining as ephemeral. Using a Hovmöller diagram, streamflow presence was visualized in unprecedented spatiotemporal detail, allowing estimates of daily fraction of flowing channel and annual fractions of flowing days. This new tool opens avenues for detecting streamflow and studying hydrological and biogeochemical processes dependent on water presence in drylands.
确定非常年性河流的水流状态在水文学中至关重要。在本研究中,我们开发了一种新方法,利用立方体卫星图像,通过河段内外区域的地表反射率差异来检测水流的存在。我们用亚利桑那州哈萨亚帕姆河3年(2019 - 2021年)的流量记录对该方法进行了校准,发现在流量测量站的年流动天数比例方面有良好的一致性(r = 0.82,p < 0.0001)。随后,沿着哈萨亚帕姆河以90米的间隔得出了年流动天数比例,发现12%的河段被归类为间歇性河流,其余为季节性河流。使用霍夫莫勒图,以前所未有的时空细节直观展示了水流的存在,从而能够估计每日流动河道的比例和年流动天数比例。这个新工具为检测水流以及研究依赖旱地水源存在的水文和生物地球化学过程开辟了道路。