Le périmètre métropolitain du Grand Montréal, son évolution, son encadrement et ses potentialités : le cas de la Couronne Nord

Le nouveau contexte de planification du Grand Montréal engendré par la Loi modifiant la Loi sur l’aménagement et l’urbanisme et d’autres dispositions législatives concernant les communautés métropolitaines (L.Q. 2010, c. 10) soulève un grand nombre de questions en matière d’aménagement, notamment par rapport à la gestion de l’urbanisation et plus spécifiquement en ce qui a trait à la notion de périmètre d’urbanisation. Ce nouveau contexte de planification est donc l’élément déclencheur de la présente recherche qui vise à examiner la conception du périmètre métropolitain définie dans le Plan métropolitain d’aménagement et de développement (PMAD) adopté par la Communauté métropolitaine de Montréal (CMM) et qui est entré en vigueur le 12 mars 2012, suite à l’avis favorable du gouvernement du Québec. Cette recherche vise également à examiner l’encadrement du périmètre métropolitain en fonction du contenu des schémas d’aménagement et de développement (SAD) en vigueur des cinq municipalités régionales de compté (MRC) de la Couronne Nord. Plus précisément, il s’agit d’examiner ces documents en ce qui a trait à quatre outils de planification complémentaires, soit les seuils minimaux de densité, les programmes de phasage, les plans de développement de la zone agricole et les demandes à portée collective, ceci afin d’évaluer leur présence et leur contribution à l’atteinte des objectifs poursuivis par le concept de périmètre d’urbanisation. La présente recherche a permis de conclure qu’en matière de conception, le périmètre métropolitain est un outil nettement plus stratégique, comparativement au rôle attribué à cette notion au préalable dans les schémas régionaux, et ce, même considérant le peu de complémentarité entre les périmètres régionaux et ce dernier. En matière d’encadrement, il est possible de conclure que le contexte de planification révèle une situation régionale hautement variable qui illustre le besoin d’une approche de planification commune afin d’atteindre les objectifs du périmètre métropolitain.

Contribution of the North Atlantic subtropical high to regional climate model (RCM) skill in simulating southeastern United States summer precipitation

© 2014, Springer-Verlag Berlin Heidelberg.This study assesses the skill of advanced regional climate models (RCMs) in simulating southeastern United States (SE US) summer precipitation and explores the physical mechanisms responsible for the simulation skill at a process level. Analysis of the RCM output for the North American Regional Climate Change Assessment Program indicates that the RCM simulations of summer precipitation show the largest biases and a remarkable spread over the SE US compared to other regions in the contiguous US. The causes of such a spread are investigated by performing simulations using the Weather Research and Forecasting (WRF) model, a next-generation RCM developed by the US National Center for Atmospheric Research. The results show that the simulated biases in SE US summer precipitation are due mainly to the misrepresentation of the modeled North Atlantic subtropical high (NASH) western ridge. In the WRF simulations, the NASH western ridge shifts 7° northwestward when compared to that in the reanalysis ensemble, leading to a dry bias in the simulated summer precipitation according to the relationship between the NASH western ridge and summer precipitation over the southeast. Experiments utilizing the four dimensional data assimilation technique further suggest that the improved representation of the circulation patterns (i.e., wind fields) associated with the NASH western ridge substantially reduces the bias in the simulated SE US summer precipitation. Our analysis of circulation dynamics indicates that the NASH western ridge in the WRF simulations is significantly influenced by the simulated planetary boundary layer (PBL) processes over the Gulf of Mexico. Specifically, a decrease (increase) in the simulated PBL height tends to stabilize (destabilize) the lower troposphere over the Gulf of Mexico, and thus inhibits (favors) the onset and/or development of convection. Such changes in tropical convection induce a tropical–extratropical teleconnection pattern, which modulates the circulation along the NASH western ridge in the WRF simulations and contributes to the modeled precipitation biases over the SE US. In conclusion, our study demonstrates that the NASH western ridge is an important factor responsible for the RCM skill in simulating SE US summer precipitation. Furthermore, the improvements in the PBL parameterizations for the Gulf of Mexico might help advance RCM skill in representing the NASH western ridge circulation and summer precipitation over the SE US.

Meeting of the Technical Advisory Committee (TAC) of the Regional Coordinating Mechanism (RCM)

.--Introduction.-- Agenda item 1 – Opening remarks.-- Agenda item 2 - Adoption of agenda.-- Agenda item 3 - Procedural matters and organization of work.-- Agenda Item 4: Consideration of the work programme of the RCM for the period 2008-2009.-- Agenda item 5: Review of preparation for the Commission on Sustainable Development (CSD).-- Agenda item 6 – Conclusions of the TAC

Report of the second meeting of the Technical Advisory Committee (TAC) of the Regional Coordinating Mechanism (RCM)

.--Introduction.-- Agenda item 1: Opening remarks .-- Agenda Item 2: Adoption of agenda.-- Agenda item 3: Review of the work programme of the RCM for the period 2008-2009.-- Agenda Item 4: Review of preparations for the MSI Review 2010 .-- Agenda item 5: Proposals for 2010-2011 work programme.-- Agenda item 6: Close

Vers des aménagements multifonctionnels en zone d'intensification agricole : portée et limites des politiques et pratiques québécoises

Certains territoires caractérisés par une concentration et une intensification de l’agriculture se trouvent aujourd’hui devant des défis environnementaux et sociaux, notamment en ce qui a trait à la qualité des cadres de vie. À cet effet, une panoplie de mesures agroenvironnementales et de cohabitation (lois, programmes, etc.) sont aujourd’hui à la disposition des professionnels de l’aménagement au Québec. Cette recherche s’interroge sur le potentiel de ces outils à réintroduire le caractère multifonctionnel des territoires, c'est-àdire à assurer la prise en compte simultanée de plusieurs fonctions. Pour ce faire, la mise en oeuvre hypothétique de scénarios d’aménagement multifonctionnel issus d’une recherche antérieure est utilisée comme test. La première étape identifie et analyse les outils favorisant la multifonctionnalité des territoires agricoles et formule des hypothèses quant aux blocages qui pourraient limiter la mise en oeuvre des scénarios multifonctionnels. La deuxième étape teste ces hypothèses en faisant intervenir des groupes de discussion rassemblant divers professionnels de l’aménagement à l’échelle supra locale (municipalité régionale de comté). Les résultats témoignent du potentiel des projets d’aménagement conçus à l’échelle du territoire, notamment ceux visant des regroupements de producteurs. Toutefois, l’étude montre que les blocages ne tiennent pas seulement aux caractéristiques des outils en place, mais aussi à la réticence des professionnels à prendre en compte la notion de cadre de vie en zone d’intensification agricole. Quant à l’utilité pour le monde de la pratique de scénarios d’aménagement multifonctionnel issus d’une recherche universitaire, elle s’en trouverait grandement accrue dans un contexte où les professionnels de l’aménagement participeraient à leur construction.

L'évolution de la migration interrégionale au Québec (1991-2006)

Ce mémoire présente, dans une première partie, une analyse détaillée des flux migratoires entre les différentes régions administratives du Québec entre 1991 et 2006. Nous avons utilisé quelques indicateurs permettant de quantifier l’importance de ces mouvements à la fois sur la région d’origine et sur la population d’accueil. Afin de réaliser ce travail, nous avons eu recours aux matrices de flux migratoires entre les 17 régions administratives québécoises, matrices qui sont publiées par l’Institut de la Statistique du Québec à l’aide du fichier de la Régie de l’assurance-maladie du Québec (RAMQ). Les méthodes d’analyse utilisées nous ont permis de mesurer l’intensité de ces flux, leur concentration spatiale, l’orientation spatiale des émigrants, les hiérarchies des régions administratives ainsi que l’efficience des migrations interrégionales du Québec. Nous avons analysé comment les régions administratives du Québec sont affectées par la migration interrégionale. Dans une deuxième partie, nous avons porté notre attention sur la migration interrégionale en fonction de certains groupes d’âge. L’étude des migrations en fonction du groupe d’âge a permis de mieux saisir les conséquences démographiques de ces mouvements pour les régions d’origine et de destination, particulièrement en ce qui concerne la structure de la population résultant de ces flux. Finalement, dans une troisième partie, nous avons analysé les mouvements migratoires entre l’île de Montréal et les Municipalités Régionales de Comté des quatre régions qui l’entourent afin de comprendre la part de l’étalement urbain dans l’émigration des Montréalais. Les résultats obtenus nous permettent de conclure en dégageant certaines tendances. D’abord, nous avons établi que les migrations dans la province de Québec se font des régions éloignées vers les régions du centre. Ces régions gagnantes renferment ou avoisinent les grands centres urbains de la province : Québec, Montréal et Ottawa. Nous assistons donc à une redéfinition du paysage québécois : le nord se déserte, le centre a une faible croissance et la grande région de Montréal, plus particulièrement les régions en banlieue de l’île de Montréal, est en nette croissance. Ensuite, l’analyse par groupe d’âge a illustré que les régions excentrées ont très rarement des soldes positifs et que les jeunes sont très nombreux à quitter ces régions. Pour l’île de Montréal, ce sont les jeunes qui arrivent en grand nombre. Cependant, après la trentaine, les gens désertent l’île pour d’autres régions de la province. Ces départs profitent aux régions adjacentes, qui font d’énormes gains chez les jeunes travailleurs. Finalement, l’analyse des échanges migratoires entre l’île de Montréal et les MRC des quatre régions adjacentes nous a permis de constater que ces MRC sont très souvent gagnantes dans leurs échanges migratoires. Particulièrement lors de la période 2001-2006, où seulement deux territoires sont perdants dans leurs échanges migratoires avec les autres régions du système, soit l’île de Montréal et la MRC de Longueuil.

Idealized SST anomaly regional climate model experiments: a note of caution

To date, a number of studies have focused on the influence of sea surface temperature (SST) on global and regional rainfall variability, with the majority of these focusing on certain ocean basins e.g. the Pacific, North Atlantic and Indian Ocean. In contrast, relatively less work has been done on the influence of the central South Atlantic, particularly in relation to rainfall over southern Africa. Previous work by the authors, using reanalysis data and general circulation model (GCM) experiments, has suggested that cold SST anomalies in the central southern Atlantic Ocean are linked to an increase in rainfall extremes across southern Africa. In this paper we present results from idealised regional climate model (RCM) experiments forced with both positive and negative SST anomalies in the southern Atlantic Ocean. These experiments reveal an unexpected response of rainfall over southern Africa. In particular it was found that SST anomalies of opposite sign can cause similar rainfall responses in the model experiments, with isolated increases in rainfall over central southern Africa as well as a large region of drying over the Mozambique Channel. The purpose of this paper is to highlight this finding and explore explanations for the behaviour of the climate model. It is suggested that the observed changes in rainfall might result from the redistribution of energy (associated with upper level changes to Rossby waves) or, of more concern, model error, and therefore the paper concludes that the results of idealised regional climate models forced with SST anomalies should be viewed cautiously.

A comparison of extreme European daily precipitation simulated by a global and a regional climate model for present and future climates

The intensity and distribution of daily precipitation is predicted to change under scenarios of increased greenhouse gases (GHGs). In this paper, we analyse the ability of HadCM2, a general circulation model (GCM), and a high-resolution regional climate model (RCM), both developed at the Met Office's Hadley Centre, to simulate extreme daily precipitation by reference to observations. A detailed analysis of daily precipitation is made at two UK grid boxes, where probabilities of reaching daily thresholds in the GCM and RCM are compared with observations. We find that the RCM generally overpredicts probabilities of extreme daily precipitation but that, when the GCM and RCM simulated values are scaled to have the same mean as the observations, the RCM captures the upper-tail distribution more realistically. To compare regional changes in daily precipitation in the GHG-forced period 2080-2100 in the GCM and the RCM, we develop two methods. The first considers the fractional changes in probability of local daily precipitation reaching or exceeding a fixed 15 mm threshold in the anomaly climate compared with the control. The second method uses the upper one-percentile of the control at each point as the threshold. Agreement between the models is better in both seasons with the latter method, which we suggest may be more useful when considering larger scale spatial changes. On average, the probability of precipitation exceeding the 1% threshold increases by a factor of 2.5 (GCM and RCM) in winter and by I .7 (GCM) or 1.3 (RCM) in summer.

The application of Regional Climate Model output for the simulation of high-mountain permafrost scenarios

This study investigates the possibilities and limitations of using Regional Climate Model (RCM) output for the simulation of alpine permafrost scenarios. It focuses on the general problem of scale mismatch between RCMs and impact models and, in particular, the special challenges that arise when driving an impact model in topographically complex high-mountain environments with the output of an RCM. Two approaches are introduced that take into account the special difficulties in such areas, and thus enable the use of RCM for alpine permafrost scenario modelling. Intended as an initial example, they are applied at the area of Corvatsch (Upper Engadine, Switzerland) in order to demonstrate and discuss the application of the two approaches, rather than to provide an assessment of future changes in permafrost occurrence. There are still many uncertainties and inaccuracies inherent in climate and impact models, which increase when driving one model with the output of the other. Nevertheless, our study shows that the use of RCMs offers new and promising perspectives for the simulation of high-mountain permafrost scenarios

Predictability and uncertainty in a regional climate model

The evaluation of the quality and usefulness of climate modeling systems is dependent upon an assessment of both the limited predictability of the climate system and the uncertainties stemming from model formulation. In this study a methodology is presented that is suited to assess the performance of a regional climate model (RCM), based on its ability to represent the natural interannual variability on monthly and seasonal timescales. The methodology involves carrying out multiyear ensemble simulations (to assess the predictability bounds within which the model can be evaluated against observations) and multiyear sensitivity experiments using different model formulations (to assess the model uncertainty). As an example application, experiments driven by assimilated lateral boundary conditions and sea surface temperatures from the ECMWF Reanalysis Project (ERA-15, 1979–1993) were conducted. While the ensemble experiment demonstrates that the predictability of the regional climate varies strongly between different seasons and regions, being weakest during the summer and over continental regions, important sensitivities of the modeling system to parameterization choices are uncovered. In particular, compensating mechanisms related to the long-term representation of the water cycle are revealed, in which summer dry and hot conditions at the surface, resulting from insufficient evaporation, can persist despite insufficient net solar radiation (a result of unrealistic cloud-radiative feedbacks).

Realism of rainfall in a very high-resolution regional climate model

The realistic representation of rainfall on the local scale in climate models remains a key challenge. Realism encompasses the full spatial and temporal structure of rainfall, and is a key indicator of model skill in representing the underlying processes. In particular, if rainfall is more realistic in a climate model, there is greater confidence in its projections of future change. In this study, the realism of rainfall in a very high-resolution (1.5 km) regional climate model (RCM) is compared to a coarser-resolution 12-km RCM. This is the first time a convection-permitting model has been run for an extended period (1989–2008) over a region of the United Kingdom, allowing the characteristics of rainfall to be evaluated in a climatological sense. In particular, the duration and spatial extent of hourly rainfall across the southern United Kingdom is examined, with a key focus on heavy rainfall. Rainfall in the 1.5-km RCM is found to be much more realistic than in the 12-km RCM. In the 12-km RCM, heavy rain events are not heavy enough, and tend to be too persistent and widespread. While the 1.5-km model does have a tendency for heavy rain to be too intense, it still gives a much better representation of its duration and spatial extent. Long-standing problems in climate models, such as the tendency for too much persistent light rain and errors in the diurnal cycle, are also considerably reduced in the 1.5-km RCM. Biases in the 12-km RCM appear to be linked to deficiencies in the representation of convection.

A spatial modelling framework for assessing climate change impacts on freshwater ecosystems: Response of brown trout (Salmo trutta L.) biomass to warming water temperature

Mountain regions worldwide are particularly sensitive to on-going climate change. Specifically in the Alps in Switzerland, the temperature has increased twice as fast than in the rest of the Northern hemisphere. Water temperature closely follows the annual air temperature cycle, severely impacting streams and freshwater ecosystems. In the last 20 years, brown trout (Salmo trutta L) catch has declined by approximately 40-50% in many rivers in Switzerland. Increasing water temperature has been suggested as one of the most likely cause of this decline. Temperature has a direct effect on trout population dynamics through developmental and disease control but can also indirectly impact dynamics via food-web interactions such as resource availability. We developed a spatially explicit modelling framework that allows spatial and temporal projections of trout biomass using the Aare river catchment as a model system, in order to assess the spatial and seasonal patterns of trout biomass variation. Given that biomass has a seasonal variation depending on trout life history stage, we developed seasonal biomass variation models for three periods of the year (Autumn-Winter, Spring and Summer). Because stream water temperature is a critical parameter for brown trout development, we first calibrated a model to predict water temperature as a function of air temperature to be able to further apply climate change scenarios. We then built a model of trout biomass variation by linking water temperature to trout biomass measurements collected by electro-fishing in 21 stations from 2009 to 2011. The different modelling components of our framework had overall a good predictive ability and we could show a seasonal effect of water temperature affecting trout biomass variation. Our statistical framework uses a minimum set of input variables that make it easily transferable to other study areas or fish species but could be improved by including effects of the biotic environment and the evolution of demographical parameters over time. However, our framework still remains informative to spatially highlight where potential changes of water temperature could affect trout biomass. (C) 2015 Elsevier B.V. All rights reserved.-

Think local, act local? Issues of co-ordination and integration in Local Agenda 21

The political response to the complex package of environmental problems which threaten the future of our planet has been to introduce a new agenda of environmental action based on the principles of sustainability and subsidiarity. This has been crystallised in world agreements signed at the Earth Summit in Rio. One of these, Agenda 21, calls for the governments and communities of the world to prepare action plans for their areas which can build consensus between the various stakeholder groups and feed the principles of sustainable development back into their policies and day-to-day practices. This paper explores the experience of Local Agenda 21 type processes at three levels in the South East of England: the regional, county (sub-regional) and local level. In particular it undertakes a critical appraisal of the success of these participatory and consensus-building exercises in developing an integrated and co-ordinated approach to environmental action planning. It concludes that, although much useful work has been done in raising awareness and modifying policy and practice, there are significant cultural and institutional barriers which are hindering progress.