Spatio-temporal dynamics of water resources of Hyderabad Metropolitan Area and its relationship with urbanization

Nayan, Nakul kumar; Das, Arup; Mukerji, Arjun; Mazumder, Taraknath; Bera, Subhas

doi:10.1016/j.landusepol.2020.105010

Cited by 23 publications

(6 citation statements)

References 26 publications

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“…similarities in the configurations of the water body surface area. The differences between the MNDWI and MapBiomas are related to the Landsat 8 image dates not coinciding with MapBiomas and to how the MNDWI has the potential to identify small reservoirs [59] that contribute to a larger total area of water bodies. Figure 8 shows the respective surface areas of the reservoirs, determined through land use classification using the MapBiomas product and also through geoprocessing.…”

Section: Resultsmentioning

confidence: 99%

Spatiotemporal Dynamics of Land Use and Land Cover through Physical–Hydraulic Indices: Insights in the São Francisco River Transboundary Region, Brazilian Semiarid Area

et al. 2023

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This article presents a study on the spatiotemporal dynamics of land cover and use, vegetation indices, and water content in the semiarid region of Pernambuco, Brazil. This study is based on an analysis of satellite images from the years 2016, 2018, and 2019 using the MapBiomas platform. The results show changes in the predominant land cover classes over time, with an increase in the caatinga area and a decrease in the pasture area. An analysis of the vegetation indices (NDVI and LAI) indicated low vegetation cover and biomass in the study area, with a slight increase in the NDVI in 2018. An analysis of the Modified Normalized Difference Water Index (MNDWI) showed that the water content in the study area was generally low, with no significant variations over time. An increase in the water bodies, mainly due to the construction of a reservoir, was noted. The results of this study have provided important information for natural resource management in the region, including the development of strategies for the sustainable use and management of natural resources, particularly water resources, vegetation cover, and soil conservation.

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Section: Resultsmentioning

confidence: 99%

Spatiotemporal Dynamics of Land Use and Land Cover through Physical–Hydraulic Indices: Insights in the São Francisco River Transboundary Region, Brazilian Semiarid Area

et al. 2023

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“…Modified Normalized Difference Water Index (MNDWI) refers to the band calculation index factor obtained by normalizing the difference between the near-infrared band and the visible light band, which can clearly distinguish the ground object information such as water and vegetation in the image [ 21 , 22 ]. The calculation formula of MNDWI is: …”

Section: Methodsmentioning

confidence: 99%

Evaluation and analysis on suitability of human settlement environment in Qingdao

Zhou

Liu

et al. 2021

PLoS ONE

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Human settlement environment is space places closely related to human production and life, and also surface spaces inseparable from human activities. As a coastal city in the east of China, Qingdao has a relatively high level of urbanization. However, it also along with many urban problems at the same time, among which the problem of human settlement environment has attracted more and more general attention from people. According to the characteristics of human settlement environment in Qingdao, the research constructs an index system with 10 index factors from natural factors and humanity factors, and proposes a comprehensive evaluation model. Evaluate and grade suitability of human settlement environment in Qingdao, explore the spatial aggregation and differentiation of the quality of human settlement environment, and reveal the internal connection of spatial evolution. The results indicate that the overall livability of Qingdao is relatively good, showing a multi-center and radial driving development. The distribution of livability is uneven, showing a decreasing spatial distribution law from the coast to the inland, and the quality of human settlement environment in Jiaozhou Bay and the coastal areas is relatively high. Qingdao is mainly based on natural livability, supplemented by humanity livability, compared with natural suitability, the spatio-temporal evolution characteristics of humanity livability have experienced three stages: rising-contradictory rising-harmonious rising. The quality of human settlement environment has obvious spatial correlation and is positively correlated with the degree of agglomeration, and the agglomeration of blocks with a higher quality of human settlement environment is higher than that of blocks with a lower level. The rule of human settlement environment changing over time is that areas with high quality of human settlement environment begin to shift from the city center to the north and the south, transforming into multi-point development, and overall environmental suitability has been improved. According to the results of the comprehensive evaluation, combined with its local development status and policies, the research puts forward developmental suggestions for the construction of human settlement environment in Qingdao, and provides decision-making basis for relevant departments to solve the problem of deterioration of human settlement environment.

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“…Percentage impervious land use was based on the supervised classification for 1995, 2006. Imperviousness for 1991, 2001 was obtained from Sannigrahi et al (2018) and Nayan et al (2020).…”

Section: Data Collection and Processingmentioning

confidence: 99%

Simulation-optimization framework in urban flood management for historic and climate change scenarios

Madhuri

Raja

Raju

2021

Journal of Water and Climate Change

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A simulation-optimization framework is established by integrating Hydrologic Engineering Center Hydraulic Modeling System (HEC-HMS) for computation of runoff, siting tool EPA System for Urban Storm-water Treatment and Analysis INtegration (EPA-SUSTAIN) for placement of Best Management Practices (BMPs), and Binary Linear Integer Programming (BLIP) for runoff reduction. The framework is applied to an urban catchment, namely Greater Hyderabad Municipal Corporation (GHMC). The rainfall-runoff analysis was conducted for extreme rainfalls for historic (2016) and future events in 2050 and 2064 under Representative Concentration Pathways (RCPs) 6.0 and 8.5. The simulation-optimization approach in the historic scenario yielded 495,607 BMPs occupying 76.99 km2 resulting in runoff reduction of 21.54 mm (198.76–177.22 mm). Achieved runoff reduction is 38.72 (428.35–389.63 mm) and 55.03 (602.65–547.62 mm), respectively, for RCPs 6.0 and 8.5, which could meet the water demands of GHMC for 10.33 and 11.53 days. Impacts of 10 different BMP configurations of varying costs (10–70%) and pollutant load reductions (0–3%) on runoff reduction are accomplished as part of sensitivity analysis.

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Spatio-temporal dynamics of water resources of Hyderabad Metropolitan Area and its relationship with urbanization

Cited by 23 publications

References 26 publications

Spatiotemporal Dynamics of Land Use and Land Cover through Physical–Hydraulic Indices: Insights in the São Francisco River Transboundary Region, Brazilian Semiarid Area

Spatiotemporal Dynamics of Land Use and Land Cover through Physical–Hydraulic Indices: Insights in the São Francisco River Transboundary Region, Brazilian Semiarid Area

Evaluation and analysis on suitability of human settlement environment in Qingdao

Simulation-optimization framework in urban flood management for historic and climate change scenarios

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