Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

A Root-Zone Soil Salinity Observatory for Coastal Southwest Bangladesh

Domain:

agricultureenvironment and energy

Record type:

dataset
Creator:
SarHayRudMaz
Publisher:
arXiv
Host:avatar
The research assesses soil salinity in the southwest coastal region of Bangladesh, collecting a total of 162 topsoil samples between March 1 and March 9, 2024, and processing them following the standard operating procedure for soil electrical conductivity (soil/water, 1:5). Electrical conductivity (EC) measurements obtained using a HI-6321 advanced conductivity benchtop meter were analyzed and visualized using bubble density mapping and the Empirical Bayesian Kriging interpolation method. The findings indicate that soil salinity in the study area ranges from 0.05 to 9.09 mS/cm, with the highest levels observed near Debhata and Koyra. A gradient of increasing soil salinity is clearly evident from the northern to southern regions. This dataset provides a critical resource for soil salinity-related research in the region, offering valuable insights to support decision-makers in understanding and mitigating the impacts of soil salinity in Bangladesh's coastal areas.

Visit

doi.orgarxiv.org

Languages

Koorete

Tags

Geophysics (physics.geo-ph)FOS: Physical sciencesFOS: Physical sciencesJ.286-04, 86-05

Licenses

Creative Commons Attribution Share Alike 4.0 Internationalhttps://creativecommons.org/licenses/by-sa/4.0/legalcode

Similar

Integrating process-related information into an artificial neural network for root-zone soil moisture predictionSalinity-induced building deterioration under low-level salinity conditions: a case study from Coastal Lagos, NigeriaA Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval EnsemblesAnticipating the Effects of Increasing Rivers’ Water Salinity for Sustainable Conservation of Tilapia Resources in Rural Coastal Zone of Benin, West AfricaLabel generation rules for the Internet's root zone for African scriptsSoil salinity prediction using a machine learning approach through hyperspectral satellite image

Integrating process-related information into an artificial neural network for root-zone soil moisture prediction

International audience Abstract. Quantification of root-zone soil moisture (RZSM) is

Salinity-induced building deterioration under low-level salinity conditions: a case study from Coastal Lagos, Nigeria

Purpose This study establishes an empirical relationship between observed buil

A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles

Bias correction is a very important pre-processing step in satellite data assimilation analysis, as

Anticipating the Effects of Increasing Rivers’ Water Salinity for Sustainable Conservation of Tilapia Resources in Rural Coastal Zone of Benin, West Africa

The current research aimed at using the application of multi-factor models to support fisheries mana

Label generation rules for the Internet's root zone for African scripts

ICANN is working to promote the use of Internationalized Domain Names (IDN). This work will allow do

Soil salinity prediction using a machine learning approach through hyperspectral satellite image

International audience

A major environmental threat is soil salinity caused b