Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

The measurement of the concentration of suspended sediment in a water body is a very important content in the observation of hydrological elements, and it is also one of the important parameters for calculating the sediment resuspension flux. In order to accurately predict the distribution of lake sediment, this paper uses satellite remote sensing data to invert the suspended sediment concentration. The key to the quantitative inversion is the atmospheric correction and the suspended sediment concentration inversion algorithm. In this paper, satellite remote sensing technology and Internet of Things technology are combined to establish a new type of lake suspended sediment concentration distribution model. First of all, this paper combines the results of satellite remote sensing inversion and the results of on-site water sample inspections of the Internet of Things to obtain the original hydrological data of suspended sediment in the lake. Secondly, this paper combines ADAM with deep learning technology to simulate the lake flow field and predict the dynamic process of suspended sediment pollution under different conditions. Finally, through experimental simulation and field sampling experiments, the validity of the lake suspended sediment concentration model established in this paper is verified. This model can provide assistance for relevant agencies to grasp the temporal and spatial distribution of suspended sediment concentration in regional lakes in a comprehensive and timely manner, and can obtain the overall characteristics of the study area and the impact of humanistic engineering construction.

[1]  Jibo Yue,et al.  How up-scaling of remote-sensing images affects land-cover classification by comparison with multiscale satellite images , 2018, International Journal of Remote Sensing.

[2]  Wei Zhang,et al.  40-Year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing. , 2019, Science bulletin.

[3]  A. Mitra,et al.  A numerical investigation on the tide-induced residence time and its association with the suspended sediment concentration in Gulf of Khambhat, northern Arabian Sea. , 2020, Marine pollution bulletin.

[4]  Reza Abbasi-Kesbi,et al.  Developed wireless sensor network to supervise the essential parameters in greenhouses for internet of things applications , 2020, IET Circuits Devices Syst..

[5]  W. Arnold,et al.  Prediction of Photochemically Produced Reactive Intermediates in Surface Waters via Satellite Remote Sensing. , 2020, Environmental science & technology.

[6]  Ramandeep Singh,et al.  An Internet of Things Fog-Assisted Sleep-Deprivation Prediction Framework for Spinal Cord Injury Patients , 2020, Computer.

[7]  Calvin K. F. Lee,et al.  Estimating changes and trends in ecosystem extent with dense time‐series satellite remote sensing , 2020, Conservation biology : the journal of the Society for Conservation Biology.

[8]  A. Miller,et al.  Spatial and temporal patterns of suspended sediment transport in nested urban watersheds , 2019, Geomorphology.

[9]  C. Richardson,et al.  Suspended Sediment Mineralogy and the Nature of Suspended Sediment Particles in Stormflow of the Southern Piedmont of the USA , 2019, Water Resources Research.

[10]  Menghua Wang,et al.  Improving low-quality satellite remote sensing reflectance at blue bands over coastal and inland waters , 2020 .

[11]  Andrés Villa-Henriksen,et al.  Internet of Things in arable farming: Implementation, applications, challenges and potential , 2020 .

[12]  Zhonghua Yang,et al.  Estimating the distribution of suspended sediment concentration in submerged vegetation flow based on gravitational theory , 2020 .

[13]  M. Moradi,et al.  The effect of land use configurations on concentration, spatial distribution, and ecological risk of heavy metals in coastal sediments of northern part along the Persian Gulf. , 2019, The Science of the total environment.

[14]  R. Shuchman,et al.  A new method to estimate global freshwater phytoplankton carbon fixation using satellite remote sensing: initial results , 2021 .

[15]  Haigang Zhan,et al.  Spatio-temporal variation of the suspended sediment concentration in the Pearl River Estuary observed by MODIS during 2003–2015 , 2019, Continental Shelf Research.

[16]  L. Xie,et al.  Profile of Suspended Sediment Concentration in Submerged Vegetated Shallow Water Flow , 2020, Water Resources Research.

[17]  Luca Fichera,et al.  Fluorescent nanoparticle-based Internet of things. , 2020, Nanoscale.

[18]  J. Kumar,et al.  Unsteady two-dimensional suspended sediment transport in open channel flow subject to deposition and re-entrainment , 2021 .

[19]  C. Dong,et al.  Remotely Sensed Retrieval of Extreme High Surface Suspended Sediment Concentration in the Yellow River Estuary from 1996 to 2017 , 2020, Journal of Coastal Research.

[20]  M. Fujita,et al.  Application of time domain reflectometry to high suspended sediment concentration measurements: Laboratory validation and preliminary field observations in a steep mountain stream , 2020, Journal of Hydrology.

[21]  A. Brooks,et al.  Evaluation of a simple, inexpensive, in situ sampler for measuring time‐weighted average concentrations of suspended sediment in rivers and streams , 2019, Hydrological Processes.

[22]  Renzhong Tang,et al.  An Internet of Things-enabled model-based approach to improving the energy efficiency of aluminum die casting processes , 2020 .

[23]  S. M. Amini,et al.  Two-level distributed clustering routing algorithm based on unequal clusters for large-scale Internet of Things networks , 2019, The Journal of Supercomputing.

[24]  Lei Yang,et al.  Security and Privacy in the Internet of Things , 2017 .

[25]  F SkarmetaAntonio,et al.  A Survey of Cybersecurity Certification for the Internet of Things , 2020, ACM Comput. Surv..

[26]  J. D. Whyatt,et al.  Counting the cost of the Niger Delta's largest oil spills: Satellite remote sensing reveals extensive environmental damage with >1million people in the impact zone , 2021 .

[27]  O. Möller,et al.  Spatio-temporal variability of suspended sediment concentrations in a shallow and turbid lagoon , 2020 .

[28]  K. Kannan,et al.  Spatial and temporal trends of melamine and its derivatives in sediment from Lake Shihwa, South Korea. , 2019, Journal of hazardous materials.

[29]  Caijun Zhong,et al.  Integration of Energy, Computation and Communication in 6G Cellular Internet of Things , 2020, IEEE Communications Letters.

[30]  Christopher O. Ilori,et al.  Evaluation of atmospheric correction methods for low to high resolutions satellite remote sensing data , 2021 .

[31]  T. Shibayama,et al.  Suspended sand concentration models under breaking waves: Evaluation of new and existing formulations , 2020 .

[33]  E. Schiefer,et al.  Modelling suspended sediment discharge in a glaciated Arctic catchment–Lake Peters, Northeast Brooks Range, Alaska , 2020, Hydrological Processes.

[34]  Puneet Goswami,et al.  An integrated metaheuristic technique based energy aware clustering protocol for Internet of Things based smart classroom , 2020 .