A novel remote sensing method to determine reservoir characteristic curves using high-resolution data

Abstract

A novel method of determining reservoir characteristic curves based on high-resolution resource satellite data was proposed in this paper, using remote sensing processing and analysis technology. According to the physical characteristics of absorption, radiation and reflection of surface water on ultraviolet, visible, near-infrared bands, etc., the satellite images at different reservoir water level and different periods were processed to analyze the relationship of measured water level corresponding to the water area. Based on the relationship, the relevance among reservoir water level, water surface area, and reservoir capacity was established, so as to determine the reservoir characteristic curve. The method was applied and validated at Jinshuitan Reservoir and Shitang Reservoir in the Ou River Basin. The results show that this method has high accuracy, and the maximum relative error between calculating values and measured values at different water level are −2.33% and −2.11% in Jinshuitan Reservoir and Shitang Reservoir, respectively. The method improves the convenience of determining the reservoir characteristic curve greatly, and the storage capacity of the reservoir can be calculated rapidly by this method.

Intra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity index

“…As they play a critical role in (local) sediment yield reduction (Zhao et al, 2020;Feng et al, 2021), check-dams should be targeted as sinks when the location data is available and the pixel size of the DEM allows their representation as an input of AIC (González-Romero et al, 2021). Recent studies suggest that remote sensing can be introduced to assess the site of the check-dams (Rajendran et al, 2020;Guan et al, 2021). When calculating the index of connectivity (IC), which AIC was based on, originally a weighting factor was used to represent the ground cover and surface roughness that would obstruct water and sediment fluxes according to the characteristics of the study area.…”

Editorial: Advances in Water Science Research

“…The topics of remote sensing, modeling, and new technology in hydrology are prominent in this issue. Four papers develop the application of the technologies in hydrology and water resources (Dang et al 2021;Guan et al 2021;Tian et al 2021;Vorobevskii et al 2021). Tian et al (2021) assess the accuracy of GPM products by comparing GPM-based satellite data and observed rain data for the Xiangjiang river catchment.…”

“…They consider that the differences mainly result from changes in the detection capability of satellite products with the seasons and different precipitation intensity levels. A new method to determine reservoir characteristic curves is developed by Guan et al (2021) through remote sensing processing and analysis technology. This method constructs the relationship between the measured water level and water area by analyzing satellite imagery in various periods.…”