Green Chemistry is a relatively new emerging field that strives to work at the molecular level to achieve sustainability. The field has received widespread interest in the past decade due to its ability to harness chemical innovation to meet environmental and economic goals simultaneously. Green Chemistry has a framework of a cohesive set of Twelve Principles, which have been systematically surveyed in this critical review. This article covers the concepts of design and the scientific philosophy of Green Chemistry with a set of illustrative examples. Future trends in Green Chemistry are discussed with the challenge of using the Principles as a cohesive design system (93 references).

Green Chemistry: Principles and Practice

Progress in urban climatology over the two decades since the first publication of the International Journal of Climatology is reviewed. It is emphasized that urban climatology during this period has benefited from conceptual advances made in microclimatology and boundary-layer climatology in general. The role of scale, heterogeneity, dynamic source areas for turbulent fluxes and the complexity introduced by the roughness sublayer over the tall, rigid roughness elements of cities is described. The diversity of urban heat islands, depending on the medium sensed and the sensing technique, is explained. The review focuses on two areas within urban climatology. First, it assesses advances in the study of selected urban climatic processes relating to urban atmospheric turbulence (including surface roughness) and exchange processes for energy and water, at scales of consideration ranging from individual facets of the urban environment, through streets and city blocks to neighbourhoods. Second, it explores the literature on the urban temperature field. The state of knowledge about urban heat islands around 1980 is described and work since then is assessed in terms of similarities to and contrasts with that situation. Finally, the main advances are summarized and recommendations for urban climate work in the future are made. Copyright © 2003 Royal Meteorological Society.

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Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island

Collectively, palladium-catalyzed coupling reactions represent some of the most powerful and versatile tools available to synthetic organic chemists. Their widespread popularity stems in part from the fact that they are generally tolerant to a large number of functional groups, which allows them to be employed in a wide range of applications. However, for many years a major limitation of palladium-catalyzed coupling processes has been the poor reactivity of aryl chlorides, which from the standpoints of cost and availability are more attractive substrates than the corresponding bromides, iodides, and triflates. Traditional palladium/triarylphosphane catalysts are only effective for the coupling of certain activated aryl chlorides (for example, heteroaryl chlorides and substrates that bear electron-withdrawing groups), but not for aryl chlorides in general. Since 1998, major advances have been described by a number of research groups addressing this challenge; catalysts based on bulky, electron-rich phosphanes and carbenes have proved to be particularly mild and versatile. This review summarizes both the seminal early work and the exciting recent developments in the area of palladium-catalyzed couplings of aryl chlorides.

/pdf/palladium-catalyzed-coupling-reactions-of-aryl-chlorides-2jld2ekpnf.pdf

Palladium-Catalyzed Coupling Reactions of Aryl Chlorides

https://researchweb.iiit.ac.in/~sai.deepak/lectures/14.%20Thermal%20remote%20sensing%20of%20urban%20climates%202003%20Voogt%20and%20Oke.pdf

Thermal remote sensing of urban climates

Land use change models are tools to support the analysis of the causes and consequences of land use dynamics. Scenario analysis with land use models can support land use planning and policy. Numerous land use models are available, developed from different disciplinary backgrounds. This paper reviews current models to identify priority issues for future land use change modelling research. This discussion is based on six concepts important to land use modelling: (1) Level of analysis; (2) Cross-scale dynamics; (3) Driving forces; (4) Spatial interaction and neighbourhood effects; (5) Temporal dynamics; and (6) Level of integration. For each of these concepts an overview is given of the variety of methods used to implement these concepts in operational models. It is concluded that a lot of progress has been made in building land use change models. However, in order to incorporate more aspects important to land use modelling it is needed to develop a new generation of land use models that better address the multi-scale characteristics of the land use system, implement new techniques to quantify neighbourhood effects, explicitly deal with temporal dynamics and achieve a higher level of integration between disciplinary approaches and between models studying urban and rural land use changes. If these requirements are fulfilled models will better support the analysis of land use dynamics and land use policy formulation.

Land use change modelling: current practice and research priorities

Activation of Unreactive Bonds and Organic Synthesis

Deforestation due to ever-increasing activities of the growing human population has been an issue of major concern for the global environment. It has been especially serious in the last several decades in the developing countries. A population-deforestation model has been developed by the authors to relate the population density with the cumulative forest loss, which is defined and computed as the total forest loss until 1990 since prior to human civilisation. NOAA-AVHRR-based land cover map and the FAO forest statistics have been used for 1990 land cover. A simulated land cover map, based on climatic data, is used for computing the natural land cover before the human impacts. With the 1990 land cover map as base and using the projected population growth, predictions are then made for deforestation until 2025 and 2050 in both spatial and statistical forms.

http://directory.umm.ac.id/Data%20Elmu/jurnal/P/Photogrametry%20%26%20Remotesensing/Vol54.Issue5-6.Dec1999/1157.pdf

Modelling for prediction of global deforestation based on the growth of human population

In the year 1988, a new topographical map 1:50,000 of the Mount Everest region was published by the National Geographic Society. The full map content was derived from aerial images of scale 1:35,000, acquired in a 1984 photogrammetric flight. This highly acclaimed topographical map, produced with Swiss photogrammetric and cartographic know-how, serves until nowadays as an important work of reference. We took the analogue data (images, contours), converted them into digital form through scanning, and produced a texture-mapped 3D computer model. With a DTM of 10 m grid-size and natural texture pixel-size of 1 m this model is currently the best dataset available for an area of 25 by 25 km2 around the summit of Mount Everest. This paper reports about the production procedure of the model and shows some high-resolution photorealistic visualization results. The dataset has been used in the meantime by cartographers and animation experts for the production of new map-related visualization products and is much sought after by scientists of various disciplines.

High-resolution 3D modelling and visualization of Mount Everest

The developed system is composed of two CCD video cameras and a force plate sensor, which are controlled simultaneously by a personal computer. By this system, time-series data of 3D coordinates of joints and each foot's pressure enable to provide efficient bio-feedback control analysis of postural stability utilizing autoregressive modeling. After therapy, in the case of 80% of patients, the power spectrum of the body's center of gravity fluctuations became inversely proportional to frequency, and impulse response recovered.

Bio-feedback control analysis of postural stability using CCD video cameras and a force-plate sensor synchronized system

Prediction of earthquakes using GPS remains an unsolved but important problem. Pre-signals in terms of changes in triangular networks of GPS Stations were examined for many large earthquakes in Japan and in other Asian regions. I discovered that the occurrence and location of an earthquake can be predicted with pre-signals found in GPS data analysis. However, more research is required to predict how many days after the pre-signals an earthquake will occur.

Shunji Murai

Papers

Activation of Unreactive Bonds and Organic Synthesis

Modelling for prediction of global deforestation based on the growth of human population

High-resolution 3D modelling and visualization of Mount Everest

Bio-feedback control analysis of postural stability using CCD video cameras and a force-plate sensor synchronized system

Can we predict earthquakes with GPS data