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Hens, Luc; Nierynck, Eddy; Y, Tran Van; Quyen, N. H.; Hiền, Lê Thị Thu; An, Le Duc

doi:10.1023/a:1011466108499

Cited by 6 publications

(3 citation statements)

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“…Although in the coming years, together with Van Don Special Economic Zone, the two adjacent cities of Ha Long and Cam Pha will become the pole of development in the North-East region. However, there was not research on urban evolution in this dynamic region except at Ha Long city, where the relevant topic had been considered in the works of Brömme et al [52], Hens et al [6], Jalilov et al [53]. Therefore, the present study examines the spatio-temporal land cover change utilizing Landsat multitemporal and multispectral images for a period of 30 years (i.e., 1991, 2001, and 2019).…”

Section: Introductionmentioning

confidence: 95%

“…Specifically, the recent statistics show that their urban population comprised 76.5% of the total population in 2010, but it reached 88.0% in 2019 [5]. The urban development has interacted with the intensity of coal mining exploitation, causing significant pressures on the environment with many dynamics at the coastal area of Ha Long and Cam Pha cities, such as the expansion of man-made infrastructures [6], the modification of hydrologic network and topographic surface [7], the dissemination of environmental problems such as air pollution, water pollutions, soil degradation [8], and land subsidence hazard [9], etc. Thus, understanding and monitoring urban evolution over a long period in the coastal area of Ha Long and Cam Pha cities are crucial for various purposes such as land management, public service provision, spatial planning, territorial organization, and sustainable objectives achievements [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Ha Long—Cam Pha Cities Evolution Analysis Utilizing Remote Sensing Data

Nguyen

Dang

et al. 2022

Remote Sensing

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Socio-economic development has promoted the modification of land cover patterns in the coastal area of Ha Long, Cam Pha cities since the 1990s. The urban growth, together with intensive coal mining activities, has improved the life quality of residents. However, it has also caused many environmental problems in this region. Change detection techniques based on post-classification comparison were applied for monitoring the spatial and temporal evolution of land covers. The confusion matrix for 2001 and 2019 showed high overall accuracy (97.99%, 94.95%) and Kappa coefficient (0.97, 0.92), respectively. Statistics from classified images have revealed that man-made features increased by about 15.32%, while natural features, mangrove jungles, and water bodies decreased 10.64%, 1.96%, 2.72%, respectively, and urban evolution presents various dynamics, soft in the first period (1991–2001), but stronger in the second period (2001–2019) with different characteristics. The study also expresses the constraint of topographic and geologic resources, which have prevented the urban development in this coastal area. Such obtained results are very important for understanding interactions and relations between natural and human phenomena and they may help authorities by providing indicators and maps able to highlight necessary actions for sustainable development.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Ha Long—Cam Pha Cities Evolution Analysis Utilizing Remote Sensing Data

Nguyen

Dang

et al. 2022

Remote Sensing

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show abstract

“…The total mangrove plants are about 850 hm2 along the Daya Bay coast at present. In recent years, the mangrove plants were again seriously destroyed and this phenomenon is accompanied with aquatic culture, the travel and economic development (Xue, 2002;Hens et al, 2000;Zoriniet al, 2004).…”

Section: Yearmentioning

confidence: 99%

Nuclear Power - Deployment, Operation and Sustainability

Tsvetkov¹

2011

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We are fortunate to live in incredibly exciting and incredibly challenging time. The world is rapidly growing; country economies developing at accelerated growth rates, technology advances improve quality of life and become available to larger and larger populations. At the same time we are coming to a realization that we are responsible for our planet. We have to make sure that our continuous quest for prosperity does not backfire via catastrophic irreversible climate changes, and depleted or limited resources that may challenge the very existence of future generations. We are at the point in our history when we have to make sure that our growth is sustainable. Energy demands due to economic growth and increasing population must be satisfied in a sustainable manner assuring inherent safety, efficiency and no or minimized environmental impact. New energy sources and systems must be inherently safe and environmentally benign.These considerations are among the reasons that lead to serious interest in deploying nuclear power as a sustainable energy source. Today's nuclear reactors are safe and highly efficient energy systems that offer electricity and a multitude of co-generation energy products ranging from potable water to heat for industrial applications. At the same time, catastrophic earthquake and tsunami events in Japan resulted in the nuclear accident that forced us to rethink our approach to nuclear safety, design requirements and facilitated growing interests in advanced nuclear energy systems, next generation nuclear reactors, which are inherently capable to withstand natural disasters and avoid catastrophic consequences without any environmental impact. This book is one in a series of books on nuclear power published by InTech. It consists of six major sections housing twenty chapters on topics from the key subject areas pertinent to successful development, deployment and operation of nuclear power systems worldwide:

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Introduction

Sikarwar¹,

Chattopadhyay²

2020

Analyzing Population and Land Use Change

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Cited by 6 publications

References 2 publications

Ha Long—Cam Pha Cities Evolution Analysis Utilizing Remote Sensing Data

Ha Long—Cam Pha Cities Evolution Analysis Utilizing Remote Sensing Data

Nuclear Power - Deployment, Operation and Sustainability

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