East China Sea and Yellow Sea Regions, China, North Korea, and South Korea, 1749 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Carte du Katay : ou, Empire de Kin, pour servir a l'histoire de Jenghiz Khan ; raportée dans l'histoire generale des voyages, tirée de l'Anglois = Kaart van Kitay, of 't Ryk der Kin, dienende tot de historie van Jenghiz Khan, uit de Engelsche in dit Bestek gebragt. ; J.V. Schley direx. It was published by Pierre de Hondt in 1749. Scale [ca. 1:1,500,000]. Covers the East China Sea and Yellow Sea regions, China, North Korea, and South Korea. Map in French and Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Miller Cylindrical projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Shows also the Great Wall of China and the travels of Genghis Khan. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

East and Central China, ca. 1738 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Regni Sinae vel Sinae propriae mappa et descriptio geographica : ex mappis particularibus, quas Sinarum rex Canghi opera patrum missionariorum é S.I. in provincias regni universi ejus rei gratia ablegatorum concinnari fecit, perfecta, publicoque primum communicata in opere magnificentissimo R.P. du Halde, et ab Anvillaeo gall. reg. geographo in compendiosiorem hanc formam reducta, nunc secundum magis legitimas projectionis stereographicae leges reformata, studio Ioh. Matth. Hasii, math. p.p. It was published by impensis Homanianorum Heredum, ca. 1738. Scale [ca. 1:5,250,000]. Covers East and Central China, and a small portion of Mongolia. Map in Latin.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, roads, territorial and administrative, boundaries, shoreline features, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

East and Central China, 1841 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Karte von China mit dessen Eintheilung in 18 Provinzen, nach den neuesten u. zuverlässigsten Materialien entworfen, gezeichnet und bearbeitet von J. B. Roost ; in Stein grawirt v. D. Grasmüller. It was published der liter. artist. Anstalt der L.G. Cotta'schen Buchhandlung in 1841. Scale 1:6,500,000. Covers East and Central China, and the Korean Peninsula. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, roads, territorial and provincial boundaries, shoreline features, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Northeast China & Eastern Siberia, Russia, 1750 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Carte de la Tartarie Orientale : pour servir a l'Histoire générale des voyages, tirée des cartes levées par les PP. Jesuites. It was published by Pierre de Hondt in 1750. Scale [ca. 1:8,000,000]. Covers a portion of Northeast China and Eastern Siberia and Sakhalin, Russia. Map in French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, shoreline features, the Great Wall of China, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Central China and Southern Mongolia, 1750 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Carte de l'empire de Hya et partie de Tangut : pour servir a l'Histoire générale des voyages, tirée des auteurs anglois par N. Bellin ; J.V. Schley direx. It was published by Pierre de Hondt in 1750. Scale [ca. 1:9,000,000]. Covers the Central China and Southern Mongolia region. Map in French and Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, roads, and more. Shows also the Great Wall of China and the travels of Genghis Khan. Relief shown pictorially.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Northwest China and Central Asia, 1750 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Carte de la petite Bukharie et pays voisins : pour servir a l'Histoire générale des voyages, dressée sur les observations les plus récentes par N. Bellin, Ingr. de la Mare., 1749. It was published by Pierre de Hondt in 1750. Scale [ca. 1:8,500,000]. Covers Northwest China, including portions of Xinjiang Uygur Zizhiqu, Gansu Sheng, Qinghai Sheng, Tibet, Inner Mongolia, and portions of India, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Afghanistan, Pakistan, and Mongolia. Map in French and Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, roads, and more. Relief shown pictorially.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Hangzhou, China, 1749 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan de la ville de Hang-Tcheou-Fou ou Hang-Chew-Fu, capitale de la province de Che-kiang : tiré du P. du Halde, J.V. Schley direx. It was published by Pierre de Hondt in 1749. Scale [ca. 1:29,500]. Covers Hangzhou, China. Map in French and Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 51N, meters, WGS 1984) projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, canals, selected buildings, fortification, shoreline features, and more. Relief shown pictorially.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Mongolia and North China, 1749 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Carte de la Tartarie Occidentale : pour servir a l'Histoire generale des voyages, tiré des auteurs anglois, par N. Bellin, Ingenieur de la Marine. It was published by Pierre de Hondt in 1749. Scale [ca. 1:5,400,000]. Covers Mongolia and North China, and portion of Russia. Map in French and Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, roads, the Great Wall of China, and more. Relief shown pictorially.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Beijing, China, 1749 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan de La ville de Peking capitale de l'empire de la Chine, située par les 39.d 54 m. Lat. Septr.le = Grondetekening der Stad Peking Hoofdstad van China, op 39 Graaden en 54 Minuuten Noorderbreedte, J. v. Schley, direx. It was published in 1749. Scale [ca. 1:90,000]. Covers Beijing, China. Map in French and Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 50N, meters, WGS 1984) projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map.This map shows features such as drainage, fortification, city entrances, selected buildings pictorially, ground cover, cemeteries, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Beijing, China, 1900 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Pékin. It was published by A. Nachbaur in 1900. Scale 1:25,000. Covers Beijing, China. Map in French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 50N, meters, WGS 1984) projected. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map.This map shows features such as roads, railroads and stations, drainage, selected buildings, temples, pagodas, mosques, missions, French official buildings, state buildings, tourist locations, ground cover, parks, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Developing a life-cycle costing analysis model for sustainability enhancement in road infrastructure project

With increasing pressure to provide environmentally responsible infrastructure products and services, stakeholders are putting significant foci on the early identification of financial viability and outcome of infrastructure projects. Traditionally, there has been an imbalance between sustainable measures and project budget. On one hand, the industry tends to employ the first-cost mentality and approach to developing infrastructure projects. On the other, environmental experts and technology innovators often push for the ultimately green products and systems without much of a concern for cost. This situation is being quickly changed as the industry is under pressure to continue to return profit, while better adapting to current and emerging global issues of sustainability. For the infrastructure sector to contribute to sustainable development, it will need to increase value and efficiency. Thus, there is a great need for tools that will enable decision makers evaluate competing initiatives and identify the most sustainable approaches to procuring infrastructure projects. In order to ensure that these objectives are achieved, the concept of life-cycle costing analysis (LCCA) will play significant roles in the economics of an infrastructure project. Recently, a few research initiatives have applied the LCCA models for road infrastructure that focused on the traditional economics of a project. There is little coverage of life-cycle costing as a method to evaluate the criteria and assess the economic implications of pursuing sustainability in road infrastructure projects. To rectify this problem, this paper reviews the theoretical basis of previous LCCA models before discussing their inability to determinate the sustainability indicators in road infrastructure project. It then introduces an on-going research aimed at developing a new model to integrate the various new cost elements based on the sustainability indicators with the traditional and proven LCCA approach. It is expected that the research will generate a working model for sustainability based life-cycle cost analysis.

A process for the management of physical infrastructure

Physical infrastructure assets are important components of our society and our economy. They are usually designed to last for many years, are expected to be heavily used during their lifetime, carry considerable load, and are exposed to the natural environment. They are also normally major structures, and therefore present a heavy investment, requiring constant management over their life cycle to ensure that they perform as required by their owners and users. Given a complex and varied infrastructure life cycle, constraints on available resources, and continuing requirements for effectiveness and efficiency, good management of infrastructure is important. While there is often no one best management approach, the choice of options is improved by better identification and analysis of the issues, by the ability to prioritise objectives, and by a scientific approach to the analysis process. The abilities to better understand the effect of inputs in the infrastructure life cycle on results, to minimise uncertainty, and to better evaluate the effect of decisions in a complex environment, are important in allocating scarce resources and making sound decisions. Through the development of an infrastructure management modelling and analysis methodology, this thesis provides a process that assists the infrastructure manager in the analysis, prioritisation and decision making process. This is achieved through the use of practical, relatively simple tools, integrated in a modular flexible framework that aims to provide an understanding of the interactions and issues in the infrastructure management process. The methodology uses a combination of flowcharting and analysis techniques. It first charts the infrastructure management process and its underlying infrastructure life cycle through the time interaction diagram, a graphical flowcharting methodology that is an extension of methodologies for modelling data flows in information systems. This process divides the infrastructure management process over time into self contained modules that are based on a particular set of activities, the information flows between which are defined by the interfaces and relationships between them. The modular approach also permits more detailed analysis, or aggregation, as the case may be. It also forms the basis of ext~nding the infrastructure modelling and analysis process to infrastructure networks, through using individual infrastructure assets and their related projects as the basis of the network analysis process. It is recognised that the infrastructure manager is required to meet, and balance, a number of different objectives, and therefore a number of high level outcome goals for the infrastructure management process have been developed, based on common purpose or measurement scales. These goals form the basis of classifYing the larger set of multiple objectives for analysis purposes. A two stage approach that rationalises then weights objectives, using a paired comparison process, ensures that the objectives required to be met are both kept to the minimum number required and are fairly weighted. Qualitative variables are incorporated into the weighting and scoring process, utility functions being proposed where there is risk, or a trade-off situation applies. Variability is considered important in the infrastructure life cycle, the approach used being based on analytical principles but incorporating randomness in variables where required. The modular design of the process permits alternative processes to be used within particular modules, if this is considered a more appropriate way of analysis, provided boundary conditions and requirements for linkages to other modules, are met. Development and use of the methodology has highlighted a number of infrastructure life cycle issues, including data and information aspects, and consequences of change over the life cycle, as well as variability and the other matters discussed above. It has also highlighted the requirement to use judgment where required, and for organisations that own and manage infrastructure to retain intellectual knowledge regarding that infrastructure. It is considered that the methodology discussed in this thesis, which to the author's knowledge has not been developed elsewhere, may be used for the analysis of alternatives, planning, prioritisation of a number of projects, and identification of the principal issues in the infrastructure life cycle.

Does an environmental Kuznets curve for waste pollution exist in China?

China is an emerging and leading world economy. The pace of economic change has been tremendously rapid since the beginning of economic reforms. Despite the importance of the Environmental Kuznets Curve (EKC) and environmental problems in China, no previous study has tested the EKC in China because of the difficulty in obtaining data and the need to adjust the data. The focus of this paper is to test the EKC in China using province level data over the period 1992-2003. This study applies non-parametric techniques to estimate the relationship between income and the environmental quality of wastewater, air pollution and solid waste. Copyright © 2009 Inderscience Enterprises Ltd.