Groundwater vulnerability assessment in Khulna district of Bangladesh by integrating fuzzy algorithm and DRASTIC (DRASTIC-L) model

Sresto, Mizbah Ahmed; Siddika, Sharmin; Haque, Md. Nazmul; Saroar, Mustafa

doi:10.1007/s40808-021-01270-w

Cited by 14 publications

(11 citation statements)

References 64 publications

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“…This parameter refers to the unsaturated zone between the soil surface and the aquifer (Ahmed et al 2015). The soil materials of the vadose zone are important for decreasing groundwater potential pollution, because different biochemical processes take place in this zone, such as ltration, dispersal and chemical reactions (Sresto et al 2021).…”

Section: Vadose Zonementioning

confidence: 99%

Groundwater vulnerability assessment using a GIS-based DRASTIC method in Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Hamed

Dara

Kirlas

2022

Preprint

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Groundwater vulnerability assessment is an essential step for the efficient management of groundwater resources, especially in areas with intensive anthropogenic activities and groundwater pollution. In the present study, the DRASTIC method was applied using geographic information system (GIS) to evaluate groundwater vulnerability zones in Erbil Dumpsite area, Central Erbil Basin, North Iraq. Results showed that the area was classified into the following vulnerability classes: very low (16.97%), low (27.67%), moderate (36.55%) and high (18.81%). The southern, south-eastern and northern part of the study area had the highest vulnerability potential, whereas the central-northern, northern and north-western portion of the study area revealed the lowest vulnerability potential. Moreover, results of the single-parameter sensitivity analysis showed that amongst the seven DRASTIC parameters the unsaturated zone and the aquifer media were the most influencing parameters. Finally, the correlation of 25 nitrate concentration values with the final vulnerability map, using the Pearson correlation coefficient, gave a satisfactory result equal to R = 0.72.

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Section: Vadose Zonementioning

confidence: 99%

Groundwater vulnerability assessment using a GIS-based DRASTIC method in Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Hamed

Dara

Kirlas

2022

Preprint

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“…Following the literature, the maximum likelihood supervised image classification method was used in this study to determine the land cover types [30][31]. To recognize the land cover design, the land cover type was classified into four categories (mixed land-use area, open land, water bodies, and vegetation) using the most intensive likelihood supervised classification method [32,41]. The assessment of shape, height and incline was designed to survey the geographical conditions of the chosen study region [33][34].…”

Section: Lulc Classificationmentioning

confidence: 99%

Assessing the Relationship among the Land Surface Features: A Geographic Information System (GIS) and Remote Sensing (RS) Based Approach for City Area

Siddika

Haque

Sresto

2021

J. Appl. Sci. Process Eng.

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Due to climate change and urbanization, it is important to monitor and evaluate the components of the environment. For this reason, ward-22 and ward-27 of the Khulna City Corporation (KCC) area have been selected for the study. This research seeks to identify the existing land use profile and assess the land surface components such as topography, Normalized Difference Buildup Index (NDBI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Salinity Index (NDSI) and Land Surface Temperature (LST) to measure the relationships among the land surface components. The land use land cover map shows that about 59% of ward-22 and 71.5% area of ward-27 are built-up areas. Both of the wards contain little amount of water body, vegetation and open space. Both of the wards have residential land use types with commercial purposes on the periphery. Accordingly, 63.32% and 65% of structures of ward-22 and 27 are pucca. The land surface components reveal that both areas contain lower slopes, less vegetation, less moisture, severe salinity, highly built-up areas, and high land surface temperature. The relationships among the land surface components show that NDVI has a negative relation with LST and NDBI whereas NDVI represents a positive correlation with NDMI. On the other hand, NDBI shows a positive correlation with LST whereas NDMI negatively correlates with LST. NDSI and topography reflect no meaningful relationship between NDBI, NDVI, LST, and NDMI. However, the research findings may be essential to city planners and decision-makers for incorporating better urban management at the micro level concerning climate change.

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“…Several other activities such as building embankments, dykes, polders, shrimp enclosure, water extraction for irrigated agriculture, and residential and commercial use also affect riparian environments in the entire southwest coastal riparian region in Bangladesh [ 28 ].…”

Section: Introduction: Riparian Zonesmentioning

confidence: 99%

Climate change adaptation responses among riparian settlements: A case study from Bangladesh

et al. 2022

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As transition areas between aquatic ecosystems and the adjacent terrestrial ones, riparian regions are highly exposed to coastal climate hazards. This article describes how climate change and extreme weather impact vulnerable riparian communities and settlements. The analysis is done by reviewing past research and empirical case studies from riparian rural communities of the impact zone of the Sundarbans in Bangladesh, the world’s most extensive mangrove forest. The article discusses the climate-related impacts on households through a Severity Index of Vulnerability and assesses the adaptation responses they may pursue. The principal climate-related vulnerabilities and impacts due to increases in temperature, storm surges, sea flooding, and sea-level rise are seawater intrusion and riverbank erosion. Many households have adopted several autonomous reactive adaptation strategies rather than planned ones, to cope with these impacts. However, government organisations and NGOs provide less than optimal technical and financial support to households for planned and anticipatory adaptive responses. The main barriers to adaptation were the high cost of improved crop varieties, inadequate agricultural extension services, and a lack of knowledge on effective climate adaptation. The restoration of the mangrove ecosystem may increase its resilience and, among other things, make local communities less exposed. The article also presents some adaptation measures proper to reduce the climate-related vulnerability of riparian settlements.

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Groundwater vulnerability assessment in Khulna district of Bangladesh by integrating fuzzy algorithm and DRASTIC (DRASTIC-L) model

Cited by 14 publications

References 64 publications

Groundwater vulnerability assessment using a GIS-based DRASTIC method in Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Groundwater vulnerability assessment using a GIS-based DRASTIC method in Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Assessing the Relationship among the Land Surface Features: A Geographic Information System (GIS) and Remote Sensing (RS) Based Approach for City Area

Climate change adaptation responses among riparian settlements: A case study from Bangladesh

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