Seasonal sediment plumes in the Krishna-Godavari basin using satellite observations

被引:7
|
作者
Nukapothula, Sravanthi [1 ,2 ]
Chen, Chuqun [2 ,3 ]
Yunus, Ali P. [4 ]
机构
[1] Zhejiang Ocean Univ, Marine Sci & Technol, Zhoushan 316022, Peoples R China
[2] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Ocean Remote Sensing, Guangzhou 510301, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China
[4] Indian Inst Sci Educ & Res Mohali, Dept Earth & Environm Sci, Mohali 140306, Punjab, India
基金
中国国家自然科学基金;
关键词
Ocean turbidity; Sediment plume; Ocean colour; Remote sensing; Southeast coast of India; NUMERICAL-MODEL; RIVER SEDIMENT; OCEAN; VARIABILITY; SEA; COAST; CIRCULATION; TRANSPORT; TURBIDITY; ATTENUATION;
D O I
10.1016/j.dsr.2022.103850
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Diffuse attenuation coefficient (Kd(lambda)), a measure of water quality and an indicator to predict the euphotic zone, is one of the key optical variables in ocean studies that can be determined remotely from satellite sensors. Here, we examined the seasonal plume pattern and Kd(490) trends (2002-2021) in the coastal waters of KrishnaGodavari basin, India, using Moderate Resolution Imaging Spectroradiometer (MODIS) data. Additionally, we discussed the dynamics of sediment plumes by analyzing multiple hydro-geophysical variables such as sea surface temperature (SST), wind speed, sea surface height anomaly (SSHA), river discharge, and precipitation dataset. Our result presents the first Kd(490) seasonal climatology and long-term trends of sediment plumes over the study region. We noticed that the plume is at its maximum during the summer, when there is an abundance of precipitation and river discharge, and the Kd(490) value can reach over 1.72 m-1. Contrarily, the sediment plume is nearly nonexistent during the rest of the season. During summer, the decrease of SST coincides with the increase of Kd(490) and vice versa. Furthermore, we observed that the surface waters had a homogenous SST during the winter, whereas stratified SSTs dominate at the surface during the summer. Although the temporal variability of Kd(490) is strongly dominated by the seasonal component, a long-term decreasing trend of about -0.00011 m-1y-1 in Kd(490) concentration is noted, and is associated with the decrease of the Godavari river discharge and sediment load during summer.
引用
收藏
页数:9
相关论文
共 36 条
  • [21] Biostratigraphy and sedimentation rate estimation of Quaternary sediments of the Krishna-Godavari Basin, Bay of Bengal: Evidence from NGHP-01 Holes 10D, 5C and 3B
    Bhaumik, Ajoy K.
    Chaudhuri, Swagata
    Kumar, Shiv
    Mohanty, Satabdi
    Roy, Lopamudra
    Ghosh, Amit K.
    Chowdhury, Sarmistha
    Behara, Tankadhar
    MICROPALEONTOLOGY, 2024, 70 (03) : 239 - 252
  • [22] Seasonal variability of mesoscale eddies of the Lofoten Basin using satellite and model data
    Travkin, V. S.
    Belonenko, T., V
    RUSSIAN JOURNAL OF EARTH SCIENCES, 2019, 19 (05):
  • [23] Dam sediment tracking using spectrometry and Landsat 8 satellite image, Taleghan Basin, Iran
    Afshar, Sirous
    Shamsai, Abolfazl
    Saghafian, Bahram
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (02) : 1 - 10
  • [24] Dam sediment tracking using spectrometry and Landsat 8 satellite image, Taleghan Basin, Iran
    Sirous Afshar
    Abolfazl Shamsai
    Bahram Saghafian
    Environmental Monitoring and Assessment, 2016, 188
  • [25] Deriving the Reservoir Conditions for Better Water Resource Management Using Satellite-Based Earth Observations in the Lower Mekong River Basin
    Ali, Syed A.
    Sridhar, Venkataramana
    REMOTE SENSING, 2019, 11 (23)
  • [26] Evaluation of CMIP climate model hydrological output for the Mississippi River Basin using GRACE satellite observations
    Freedman, Frank R.
    Pitts, Katherine L.
    Bridger, Alison F. C.
    JOURNAL OF HYDROLOGY, 2014, 519 : 3566 - 3577
  • [27] Assessment of Water Storage Changes Using Satellite Gravimetry and GLDAS Observations over a Part of Indus Basin, India
    Arora, Mohit
    Dixit, Mayank
    Pateriya, Brijendra
    WATER CONSERVATION SCIENCE AND ENGINEERING, 2022, 7 (04) : 623 - 645
  • [28] Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations
    Wang, Wei
    Lu, Hui
    Yang, Dawen
    Sothea, Khem
    Jiao, Yang
    Gao, Bin
    Peng, Xueting
    Pang, Zhiguo
    PLOS ONE, 2016, 11 (03):
  • [29] Long-term drought monitoring of the Zayandehrud River basin (central Iran) using hydroclimatological models and satellite observations
    Babadi, Masoud
    Iran Pour, Siavash
    Roscher, Ribana
    Amiri-Simkooei, Alireza
    Karimi, Hamed
    JOURNAL OF APPLIED REMOTE SENSING, 2022, 16 (01)
  • [30] Improved Hydrological Decision Support System for the Lower Mekong River Basin Using Satellite-Based Earth Observations
    Mohammed, Ibrahim Nourein
    Bolten, John D.
    Srinivasan, Raghavan
    Lakshmi, Venkat
    REMOTE SENSING, 2018, 10 (06)