scholarly journals Criteria for Site Selection of Solar Parks in Bangladesh: A Delphi-AHP Analysis

2020 ◽  
Vol 4 ◽  
pp. 26-35

The demand for electricity is increasing fast in Bangladesh to sustain rapid economic growth. The largest share of electricity in Bangladesh is produced by fossil fuel powered electricity generation plants. Though solar energy has high potential in Bangladesh due to favorable geographical location, very little initiative has been taken to develop the solar energy sector. At present, the Bangladesh government’s approval criteria for site selection of solar energy parks does not have any scientific basis. Consequently, the present study was undertaken to develop the site selection criteria for solar parks in Bangladesh. Delphi method with AHP was used to determine the criteria and its weightage for site selection of solar energy park. Two rounds of questionnaire for the Delphi method were conducted: in the first, the criteria list was formulated, and in the second, the weightage of the criteria was finalized. The finalized criteria were: land cover (i.e., vegetation, water bodies, build up area, bare land), land slope, surface solar irradiance, land surface temperature, and location of power sub-stations. Among these, land cover and location of power sub-stations were found to have the highest significance for determining suitable locations for solar energy parks in regard to Bangladesh.

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9115 ◽  
Author(s):  
Muhammad Amir Siddique ◽  
Liu Dongyun ◽  
Pengli Li ◽  
Umair Rasool ◽  
Tauheed Ullah Khan ◽  
...  

Rapid urbanization is changing the existing patterns of land use land cover (LULC) globally, which is consequently increasing the land surface temperature (LST) in many regions. The present study is focused on estimating current and simulating future LULC and LST trends in the urban environment of Chaoyang District, Beijing. Past patterns of LULC and LST were identified through the maximum likelihood classification (MLC) method and multispectral Landsat satellite images during the 1990–2018 data period. The cellular automata (CA) and stochastic transition matrix of the Markov model were applied to simulate future (2025) LULC and LST changes, respectively, using their past patterns. The CA model was validated for the simulated and estimated LULC for 1990–2018, with an overall Kappa (K) value of 0.83, using validation modules in IDRISI software. Our results indicated that the cumulative changes in built-up to vegetation area were 74.61 km2 (16.08%) and 113.13 km2 (24.38%) from 1990 to 2018. The correlation coefficient of land use and land cover change (LULCC), including vegetation, water bodies and built-up area, had values of r =  − 0.155 (p > 0.005), −0.809 (p = 0.000), and 0.519 (p > 0.005), respectively. The results of future analysis revealed that there will be an estimated 164.92 km2 (−12%) decrease in vegetation area, while an expansion of approximately 283.04 km2 (6% change) will occur in built-up areas from 1990 to 2025. This decrease in vegetation cover and expansion of settlements would likely cause a rise of approximately ∼10.74 °C and ∼12.66 °C in future temperature, which would cause a rise in temperature (2025). The analyses could open an avenue regarding how to manage urban land cover patterns to enhance the resilience of cities to climate warming. This study provides scientific insights for environmental development and sustainability through efficient and effective urban planning and management in Beijing and will also help strengthen other research related to the UHI phenomenon in other parts of the world.


Author(s):  
V. K. M. Del Mundo ◽  
C. L. Tiburan Jr.

Abstract. Land Surface Temperature (LST) is said to be affected by frequent changes in the land cover. Over the years, the immediate environs of Mount Makiling Forest Reserve (MMFR) have experienced such kind of change due to rapid economic growth of the area that also led to the expansion of urban centers. The study utilized Landsat imageries to determine the possible effects of land cover change on surface temperature using the integration of remote sensing and GIS technologies. Initially, the multispectral bands were radiometrically corrected using Dark Object Subtraction (DOS) while the thermal bands were corrected using Land Surface Emissivity (LSE). After these corrections were applied, the images were classified using supervised image classification technique where seven land cover types have been identified. The classified images were then validated using 200 reference data and this revealed an overall accuracy of 87.5% and 86.0% for the May 2003 and July 2015 images, respectively. Results showed that changes in land cover resulted to a significant change in Land Surface Temperature (LST). The LST in 2003 (16.49°C – 40.44°C) was found higher than that of 2015 which was observed between 13.35°C and 33.83°C only. The reason behind this is the increase in green spaces from 2003 to 2015. Among the major land cover types, forest lands exhibited the lowest mean surface temperature for both years having 27.27°C in 2003 and 21.35°C in 2015 while built-up areas had the highest surface temperature having 32.60°C in 2003 and 26.00°C in 2015.


2021 ◽  
Vol 9 (5) ◽  
pp. 512
Author(s):  
Edward J. Anthony ◽  
Manon Besset ◽  
Florin Zainescu ◽  
François Sabatier

Areal changes over delta surfaces determined by land and water ratios are a promising tool for identifying spatial and temporal changes in deltas that may reveal subsidence and shoreline erosion. Such changes can also provide the basis for more detailed studies on variations in land-cover and vegetation. Changes in land and water areas over a 35-year period (1984–2019) were determined for a selection of ten river deltas in the Mediterranean (Nile, Rhône, Po, Ebro, Moulouya, Ceyhan-Seyhan, Medjerdja, Ombrone, Arno) and the Black Sea (Danube), with a particular focus on aspects of subsidence and shoreline erosion. With the exception of the Ombrone, Arno, and Moulouya, and to lesser extent the Medjerdja, where notable changes dominate in the coastal zone and are tantamount to net erosion, the spatial pattern is largely dominated by delta-plain changes characterized by increasing areas of water. The pattern reflects a mix of shoreline erosion, land-use and land-cover changes, such as the ecological restoration of wetlands, but also increasing subsidence in these deltas, all of which have been exposed to a declining fluvial sediment supply due to human influence. The use of data on land-water ratios needs to be complemented by more detailed studies devoted to each delta in order to clearly disentangle changes related to land-use, vegetation, and subsidence. It is also important to determine how wetlands are interpreted in such ratios, as these important ecological elements are sensitive to ratio variations. It would also be interesting in future studies to examine how these variations play out over time, notably in deltas where changes have been significant over the period 1984–2019.


2021 ◽  
Author(s):  
Guillaume Marie ◽  
Sebastiaan Luyssaert ◽  
Cecile Dardel ◽  
Thuy Le Toan ◽  
Alexandre Bouvet ◽  
...  

Abstract. Most land surface models can either calculate the vegetation distribution and dynamics internally by making use of biogeographical principles or use vegetation maps to prescribe spatial and temporal changes in vegetation distribution. Irrespective of whether vegetation dynamics are simulated or prescribed, it is not practical to represent vegetation across the globe at the species level because of its daunting diversity. This issue can be circumvented by making use of 5 to 20 plant functional types (PFT) by assuming that all species within a single functional type show identical land–atmosphere interactions irrespective of their geographical location. In this study, we hypothesize that remote-sensing based assessments of above-ground biomass can be used to refine discretizing real-world vegetation in PFT maps. Remotely sensed biomass estimates for Africa were used in a Bayesian framework to estimate the probability density distributions of woody, herbaceous, and bare soil fractions for the 15 land cover classes, according to the UN-LCCS typology, present in Africa. Subsequently, the 2.5 and 97.5 percentile of the probability density distributions were used to create 2.5 % and 97.5 % confidence interval PFT maps. Finally the original and refined PFT maps were used to drive biomass and albedo simulations with the ORCHIDEE model. This study demonstrates that remotely sensed biomass data can be used to better constrain PFT maps. Among the advantages of using remotely sensed biomass data were the reduced dependency on expert knowledge and the ability to report the confident interval of the PFT maps. Applying this approach at the global scale, would increase confidence in the PFT maps underlying assessments of present day biomass stocks.


2012 ◽  
Vol 512-515 ◽  
pp. 661-664 ◽  
Author(s):  
Ya Tao Jing ◽  
Li Wei Hu ◽  
Jiang Yue

Core of the topological optimization site selection of offshore wind farm is Delphi method. The paper divides the investigated experts into industry experts and professional experts, which respectively score the weighting coefficient and its value of the influence factors of offshore wind farm. The separate marking scheme can well develop the ability of experts, avoid the specialty bias and thereby improve the assessment accuracy. Another modification is to apply the accumulative vote method in the first stage of topological optimization site selection instead of designers’ own judgments, which gives a good solution to classify the disputed factors, and avoids fault or deviation due to the knowledge deficiency of designers. In addition, the data analysis results should be reassessed by the industry experts. And in company with the reassessment opinion the data analysis results are the basis for designers to determine the best sea area for offshore wind farm construction, which gives an extra guarantee for the scientific site selection.


1991 ◽  
Vol 24 (12) ◽  
pp. 83-91
Author(s):  
D. C. P. Casarini ◽  
E. Gloeden ◽  
R. C. de A. Cunha

Land treatment is defined as the hazardous waste management technology related to application and incorporation of waste into the defined treatment zone of the soil where will occur the degradation, transformation and immobilization of the constituents contained in the applied waste, to ensure protection of surface water and groundwater. This paper describes some criteria for site selection of land treatment facilities used by petroleum refineries, as well as the engineering design, management practices to optimize the process and closure and post-closure techniques.


This collection examines the phenomenon of the operatic canon: its formation, history, current ontology and practical influence, and future. It does so by taking an international and interdisciplinary view: the workshops from which it was derived included the participation of critics, producers, artistic directors, stage directors, opera company CEOs, and even economists, from the United Kingdom, the United States, France, Italy, Ireland, Germany, the Netherlands, Denmark, and Canada. The volume is structured as a series of dialogues: each subtopic is addressed by two essays, introduced jointly by the authors, and followed by a jointly compiled list of further reading. These paired essays complement each other in different ways, for example by treating the same geographical location in different periods, by providing different national or regional perspectives on the same period, or by thinking through similar conceptual issues in contrasting milieus. Part I consists of a selection of surveys of operatic production and consumption contexts in France, Italy, Germany, England, Russia, and the Americas, arranged in rough order from the late seventeenth century to the late nineteenth century. Part II is a (necessarily) limited sample of subjects that illuminate the operatic canon from different—sometimes intentionally oblique—angles, ranging from the influence of singers to the contiguous genres of operetta and musical theater, and the effects of recording and broadcast over almost 150 years. The volume concludes with two essays written by prominent figures from the opera industry who give their sense of the operatic canon’s evolution and prospects.


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