Assessing water security and footprint in hypersaline Lake Urmia

Sobhani, Parvaneh; Esmaeilzadeh, Hassan; Deljouei, Azade; Wolf, Isabelle D.; Marcu, Marina Viorela; Sadeghi, Seyed Mohammad Moein

doi:10.1016/j.ecolind.2023.110955

Cited by 4 publications

(2 citation statements)

References 76 publications

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“…It is vital that blue-green space alternates regularly in the SDTLNR to maintain biodiversity and ecosystem health. However, the blue-green alternations have become irregular as a result of changes to the natural hydrological regime (flow and water level) because of climate change [32,36]. The irregular blue-green spatial structure alternations have impacts on wetland plants, migratory waterfowl and fish, and mammals, leading to a loss of biodiversity [37].…”

Section: Ecological Response To Blue-green Space Alternationsmentioning

confidence: 99%

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Luo,

Li,

Cao

et al. 2024

Water

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In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.

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Section: Ecological Response To Blue-green Space Alternationsmentioning

confidence: 99%

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Luo,

Li,

Cao

et al. 2024

Water

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“…To control the effects of many environmental factors on the ground, the use of remote sensing and spatial analysis has substantially increased. The supportive discussion regarding the statement is followed in the studies [7][8][9][10]. Super cyclone Amphan, one of the strongest tropical cyclones ever recorded, had its origins in the Bay of Bengal, and related research [4] examined the effects of the Amphan Disaster on the Sundarbans.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Post-Cyclonic Physical Flood Susceptibility and Changes of Mangrove Forest Area Using Multi-Criteria Decision-Making Process and Geospatial Analysis in Indian Sundarbans

Mondal,

Mahata,

Basu

et al. 2024

Atmosphere

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Tropical cyclones, one of the most extreme and destructive meteorological incidents, cause extensive damage to lives and livelihoods worldwide. This study utilized remotely sensed data along with multi-criteria decision-making, geospatial techniques, and major cyclonic events Aila, Amphan, and Yaas to identify the changes in the vulnerability of cyclone-induced floods in the 19 community development blocks of Indian Sundarbans in the years 2009–2010, 2020–2021, and 2021–2022 (the post-cyclonic timespan). The Sundarbans are a distinctive bioclimatic region located in a characteristic geographical setting along the West Bengal and Bangladesh coasts. In this area, several cyclonic storms had an impact between 2009 and 2022. Using the variables NDVI, MNDWI, NDMI, NDBI, BSI, and NDTI, Landsat 8 Operational Land Imager, Thermal Infrared Sensor, Resourcesat LISS-III, and AWiFS data were primarily utilized to map the cyclonic flood-effective zones in the research area. The findings indicated that the coastline, which was most impacted by tropical storms, has significant physical susceptibility to floods, as determined by the AHP-weighted overlay analysis. Significant positive relationships (p < 0.05, n = 19 administrative units) were observed between mangrove damage, NDFI, and physical flood susceptibility indicators. Mangrove damage increased with an increase in the flood index, and vice versa. To mitigate the consequences and impacts of the vulnerability of cyclonic events, subsequent flood occurrences, and mangrove damage in the Sundarbans, a ground-level implementation of disaster management plans proposed by the associated state government, integrated measures of cyclone forecasting, mangrove plantation, coastal conservation, flood preparedness, mitigation, and management by the Sundarban Development Board are appreciably recommended.

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Climate change projection using statistical downscaling model over southern coastal Iran

Esfandeh,

Danehkar,

Salmanmahiny

et al. 2024

Heliyon

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Assessing water security and footprint in hypersaline Lake Urmia

Cited by 4 publications

References 76 publications

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Analysis of the Post-Cyclonic Physical Flood Susceptibility and Changes of Mangrove Forest Area Using Multi-Criteria Decision-Making Process and Geospatial Analysis in Indian Sundarbans

Climate change projection using statistical downscaling model over southern coastal Iran

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