Assessing Surface Water Quality Using Landsat TM and In Situ Data: An Exploratory Analysis

Chowdhury, Razia A.; Rashid, Towhida; Hoque, Sirajul

doi:10.1007/978-94-007-6735-5_16

Cited by 3 publications

(3 citation statements)

References 76 publications

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“…Many scholars, both domestically and internationally, have studied the remote-sensing retrieval of inland waterquality parameters (Chowdhury et al 2014;Rostami et al 2018). However, there are relatively few studies on the retrieval of water-quality parameters based on Sentinel-2 data.…”

Section: Introductionmentioning

confidence: 99%

Time-Series Analysis of Surface-Water Quality in Xiong’an New Area, 2016–2019

Wang

Yao

Shen

et al. 2020

J Indian Soc Remote Sens

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The Xiong'an New Area was established by the Chinese government on 1 April 2017 as a new district in the Hebei Province, and soon after its establishment, investigations on the waterbodies of the district began to initiate governance. In this study, data from 105 Sentinel-2 cloudless images for the period April 2016–September 2019 were analysed to understand the changes in the concentrations of chlorophyll-a and water turbidity in surface waterbodies of the Xiong'an New Area. The results suggest that (1) the water quality shows an overall improving trend owing to surface-water pollution control measures by the Chinese government in the region; (2) the turbidity of the surface waterbody declined gradually particularly after the spring of 2017; (3) the concentration of chlorophyll-a shows a weak decreasing trend, with a low value in spring and a high value in summer with a four-year average of 31.3 μg/L; and (4) by comparing the results of the water quality of two ponds inside and outside the Lake Baiyangdian and the overall water quality of Xiong'an New Area, the changes in turbidity and chlorophyll-a concentration during the study period were consistent.

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Section: Introductionmentioning

confidence: 99%

Time-Series Analysis of Surface-Water Quality in Xiong’an New Area, 2016–2019

Wang

Yao

Shen

et al. 2020

J Indian Soc Remote Sens

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“…Moreover, insufficient municipal waste collection and poor sewerage system help increase the problem of pollution. Waste Concern reports that only 15% of total generated waste in Dhaka are recycled and the rest are dumped in open sites, drainage channels, rivers and streets (WASTE CONCERN, 2009); as a result, it greatly contributes to the pollution of rivers since all wastes dumped in other places eventually end up in rivers during runoffs (Chowdhury, Rashid, & Hoque, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Not only the dissolved oxygen (DO) but other important water quality parameters such as biological oxygen demand (BOD), chemical oxygen demand (COD) and pH level also failed to comply with the environmental quality standard set by the DoE. Hence the river water shouldn't be used for irrigation, drinking, livestock drinking and washing (Chowdhury, Rashid, & Hoque, 2014;Hossain, Ahmed, Abdullah, Akbor, & Ahsan, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

The Valuation of Water Quality: A Conceptual Framework for Households’ and Producers’ Willingness to Pay in Dhaka, Bangladesh

2019

JESD

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Restoring the freshwater ecosystems has drawn global attention, governmental and non-governmental organizations around the globe incorporating several strategies to revive the last remaining free-flowing rivers and other high priority freshwater ecosystems. Rivers in urban setting have social, economic and ecological importance and demise of such rivers might affect many of its inhabitant's life and living which has been established, survived and flourished over the years. Often, restoration of the river ecosystem seems challenging to the policy makers because the river ecosystem services have no price tag. Improving water quality program requires precise information about the costs and benefits which in urban areas needs to incorporate an integrated approach that implement necessary societal and technical measures. This study provides a conceptual framework using both households' and producers' willingness to pay for the river water quality improvement to acquire maximum information for successful restoration program. This study provides useful information which may help for further improvement of the water quality in an alike problem of developing countries. Future studies should validate empirically the proposed research framework.

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