Urban speed dating Monterrey Mexico

Monterrey Travel Blog; Conecta Mexico ; Wohnen und Lifestyle events in Mexico; Mexico City Video Speed Dating - Filter Off Tickets, Fri, Aug 14, at PM |.
Table of contents

Mexico Crime & Safety Report: Monterrey

The mean S deposition flux as sulfate during the dry season was The average value obtained for the rainy season was On the other hand, the mean value for S deposition flux during the Norths season was Sulfate deposition fluxes by: a climatic season, b sampling site, and c land use for MAM during the study period; Nitrate deposition fluxes by: d climatic season, e sampling site, and f land use for MAM during the study period; Ammonium deposition fluxes by: g climatic season, h sampling site, and i land use for MAM during the study period. In the analysis by sampling site, a mean value for S deposition flux of Therefore, it can be concluded that there were not significant differences in S deposition fluxes among sampling sites, suggesting an evident regional influence on MAM.

This fact supports those found in the previous sections, where the regional character of sulfate due to residence time of SO 2 was completely evident. The mean nitrate deposition flux value during the dry season was 3. The average value obtained for rainy season was 6. On the other hand, during the cold fronts season, the mean value for nitrate deposition flux was 3. It suggests that reactions in aqueous phase can be important, at the same time. It means that the influence of local sources was important. It agrees with the residence time of NO 2 in the atmosphere, since it has been reported that nitrate is a local pollutant.

It agrees with the different kinds of sources industrial and urban coexisting in this great metropolitan area. The mean ammonium deposition flux during the dry season was 6. During the rainy season, the average of ammonium deposition flux was 2. Finally, during the cold fronts season, ammonium deposition fluxes presented a mean value of 7. Ammonium levels were significantly lower during the rainy season, suggesting a washing effect during this season. It suggests that, during the rainy season, a dilution effect could influence the ammonium deposition fluxes, considering that during the rest of the year, rains are scarce in MAM.

Then, it can be concluded that there were not significant differences among sampling sites.

Therefore, vehicular emissions could have an important influence on ammonium deposition in MAM. According to the Friedman test, p value was major than the significance level, thus null hypothesis cannot be rejected, and therefore, it can be concluded that there were not significant differences among sampling sites considering their land use. Both, O 3 and PM 10 showed highest values when wind direction came from the East.

Eight years of homicide evolution in Monterrey, Mexico: a network approach

In the case of PM 2. Criteria air pollutants and meteorological conditions for site I Escobedo during the study period: a O3 dry season, b PM10 dry, and rainy seasons, c PM10 cold fronts season, d PM2. O 3 levels 0. Criteria air pollutants and meteorological conditions for site V Apodaca during the study period: a O3 dry season, b PM10 dry season, c PM10 rainy and cold fronts seasons, d PM2. Criteria air pollutants and meteorological conditions for site VI Obispado during the study period: a O3 dry, rainy and cold fronts seasons, b PM10 dry, rainy and cold fronts seasons, c PM2. Both O 3 and PM 10 showed highest levels when winds had a Northeast component.


  • Esfera City Center, Monterrey, Mexico – Zaha Hadid Architects?
  • Introduction;
  • Speed dating monterrey mexico?
  • Attachments.
  • dating site app near Ichikawa Japan.
  • Speed dating in new mexico?
  • All Mexico articles.

Criteria air pollutants and meteorological conditions for Site VIII San Pedro during the study period: a O3 dry and rainy seasons, b O3 cold fronts season, c PM10 dry and rainy seasons, d PM10 cold fronts season, e wind dry and rainy seasons, f wind cold fronts season. Criteria air pollutants and meteorological conditions for site IX La Pastora during the study period: a O3 dry, rainy and cold fronts seasons, b PM10 dry, rainy, and cold fronts seasons, c PM2.

O 3 and PM 10 showed highest levels when winds had a Southeast component most part of the year and a Northwest component during cold fronts season, suggesting a seasonal behavior for these pollutants. However, in the case of CO behavior, it was completely different, with the highest levels even exceeding the air quality standard during cold fronts season with winds coming from Southeast and Northwest.

Criteria air pollutants and meteorological conditions for site X Juarez during the study period: a CO cold fronts season, b O3 dry season, c O3 rainy and cold fronts seasons, d PM10 dry and rainy seasons, e PM10 cold fronts season, f wind all year. In Mexico, reference values to compare the current deposition fluxes of N and S are not available. However, critical loads have been estimated for European ecosystems and some sites in the United States.

In this study, mean N and S throughfall deposition fluxes were 4. N deposition fluxes did not exceed the reference value reported for alpine ecosystems; however, they are almost in the upper limit of this reference value and similar to those found in New Mexico and California. On the other hand, S deposition fluxes in MAM exceeded almost eight times the critical load proposed for sensitive areas, and five times the upper reference value for natural forests in Europe.

This chapter presents an overview of atmospheric pollution and its spatial and temporal variability in MAM, and from results, we can conclude that:. N deposition fluxes: Nitrate deposition showed a seasonal pattern with the highest levels during the rainy season suggesting that atmospheric reactions in aqueous phase play an important role in the removal process. In the case of ammonium, its deposition also presented a seasonal variation, with higher levels during the dry and cold fronts season in Santa Catarina municipality.

N deposition fluxes did not exceed the critical load values reported for Europe and USA; however, these levels were higher than those reported for the southeast region of Mexico. S deposition fluxes: Sulfate deposition did not show significant differences between seasons and sampling points, suggesting that levels found probably correspond to background levels in MAM. Sulfate levels were relatively high in Obispado, Santa Catarina, and Escobedo municipalities.

S deposition fluxes exceeded the limit values proposed for sensitive areas and natural forests in Europe, and were higher than those reported at the southeast SE of the country, but lower than those found at the center of Mexico. It suggests that S deposition could be a potential risk for ecosystems and historical heritage in MAM.

O 3 : Ozone levels exceeded the reference value of the current regulation in all sampling sites during the dry season when wind had an east component E-SE-NE. It suggests that both, CO and nitrate had their origin in vehicular sources in this urbane zone highly polluted.

Highlights

The same finding was obtained for PM 10 and PM 2. Regarding wind direction, an evident association with criteria pollutants was found, PM 10 and O 3 showed their highest levels when wind had an east component E-SE-NE , which corresponds to the prevailing wind direction during all year in MAM. In addition, PM 2.

What Speed Dating Data Reveals About Women...

Finally, this study suggests that, since O 3 and PM 10 levels exceeded the allowable maximum limit during all year and in all sampling sites, the implications that this fact may have on the population health in MAM could be serious. Prices at Hilton Garden Inn Monterrey are subject to change according to dates, hotel policy, and other factors. To view prices, please search for the dates you wish to stay at the hotel. What is the closest airport to Hilton Garden Inn Monterrey? It is What are the check-in and check-out times at Hilton Garden Inn Monterrey? Does Hilton Garden Inn Monterrey provide airport transfer services?

What amenities and services does Hilton Garden Inn Monterrey have? Does Hilton Garden Inn Monterrey have a swimming pool? Yes, Hilton Garden Inn Monterrey the hotel has a pool. Pool type: Indoor swimming pool. Does Hilton Garden Inn Monterrey have fitness amenities?

Popular events

Does Hilton Garden Inn Monterrey have non-smoking rooms? Does Hilton Garden Inn Monterrey have a restaurant? Is parking available at Hilton Garden Inn Monterrey? Does Hilton Garden Inn Monterrey have children's amenities?

Project Spotlight: Santa Catarina urban viaduct

Hilton Garden Inn Monterrey has the following children's amenities: Childcare service. The hotel address is Blvd Antonio L. The hotel is 6. Is Hilton Garden Inn Monterrey nearby popular attractions? Does Hilton Garden Inn Monterrey have hot springs? Haven't found the right hotel yet? View More Hotels in Monterrey. That is observed by the blue and red links appearing in that place. This is another instance in which this network approach helped us to describe the spatio-temporal evolution in MMA, and also gave us hints to provide possible explanations for which the violence behaved like that.

Regarding the temporal evolution of crime, an interesting result came from data of Santa Catarina municipality. As mentioned in the results section, Santa Catarina is not the most violent municipality in MMA, but this place has a monotonous homicide rate, even during the years of low homicide rates in MMA. This behavior contrasts with the rest of municipalities of the MMA: It can indeed be appreciated in Fig.

On the other hand, the other municipalities with high homicide rates have a similar behavior, with an important increase in —, short after decreasing until , where violence raised again, but at lower levels. One may argue that Santa Catarina municipality had a violence evolution more or less independent on the rest of the MMA. These two cities are separated by one avenue: Cromo Street. In the side of San Pedro there were no homicides, as opposite to Santa Catarina, where several neighborhoods suffered from homicidal violence. This contrast can be attributed to the difference in the GDP between both places.

This can be observed from Fig. Concomitant with the political borders of municipalities, highways also appear to depict lines of segregation between secure and violent neighborhoods. The remarkable difference between neighborhoods at opposite sides of a highway may reflect the presence of security forces in only one of both sides.

Further investigation regarding this topic is needed to reach a solid conclusion, however, we discuss here the empirical observation. The crime network constructed from joining adjacent neighborhoods if they had at least one homicide during the time window, clearly shows that homicide events are linked to the municipality in which the homicide occurred. Similar to the aforementioned relationship between GDP and violence, here we observe that homicide regions are strongly segregated by the political division of the MMA: network components belong to practically just one municipality.

This last result is reinforced with Fig. Monterrey, San Nicolas, Apodaca and Juarez. Probably, both phenomena should be explained by the fact that they are transit-only places. The other fact that emerges from the crime network, is that several neighborhoods are in the middle of clearly violent areas but they do not have any casualty during the 8 years of data. As an example of this, we point to those neighborhoods between the green, yellow and red clusters in Fig. The gray nodes inside the yellow component, which belong to Monterrey, are also remarkable, but the most dense set of neighborhoods with no main connected component is the one between the yellow and cyan clusters.

This fact is fully inline with the urban environment and its relation with homicides in MMA. By observing Fig. On the other hand, we also may observe that Santa Catarina and San Pedro municipalities, despite they are together, the separation between them by one avenue, clearly distinguish the violence located in Santa Catarina, and the almost absent homicidal violence in San Pedro.

As previously mentioned, it is possible to observe how roads separate places with or without homicides: Apparently the combined political, socio-economical and transportation factors may separate relatively large areas of homicidal violence. A relevant question is why this violence decreased after those years? Additionally, during and several leaders of both Golfo and Zetas groups were captured or killed. To our knowledge, this is the first time that such an amount of manually curated data is used to construct spatial and temporal networks, to provide insights of how violence increases and decreases as relative to the underlying different social turmoil in Mexico during this time window.

We have been capable to study at different levels of granularity of temporal 8-year, year, and month , and spatial components country-level, state-level, municipality, and neighborhood , in order to provide a multi-scale approach that allows to dissect possible explanations behind the violent behavior in urban metropolitan areas, specifically in the case of the war on drugs in Mexico. May be the most important take-home message is that a network approach such as the one presented here, have allowed us to develop data-driven hypotheses regarding the homicidal evolution in the Monterrey Metropolitan Area, providing explanations of why particular zones become the scenario of one of the most cruel battles for a portion of land and the transport of merchandise.

Further steps in this regard may focus in performing null models to corroborate whether the geo-socio-political division segregates homicidal regions in MMA. A large effort of several groups should also be made on the data collection and curation. Web data extraction was performed for every available year to assemble a single data base: El Norte Data Base ENDB , with the following variables: date, latitude, longitude, casualties, title of the newspaper entry reporting the event and associated URL.

The total number of observations in the ENDB is The data set consists of polygon features with neighborhood names, municipality and geospatial data such as area and location. Entries from the ENDB were mapped into the shapefiles using latitude and longitude coordinates to locate the neighborhood and municipality where each event took place. Entries were kept if they were located inside a neighborhood to filter for urban areas. Mapping was performed using pandas and geopandas packages in Python. After the filter, entries in the ENDB remained. Adjacent polygons for each neighborhood were determined using geopandas.

Each node represents a neighborhood and nodes were linked if both nodes had an event during a determined time window in the ENDB and if they were adjacent polygons in the geospatial data. A network was build using the entire period and yearly networks were also generated. For the spatial evolution of homicides, networks were assembled by counting the number of events that were registered in the same week for two adjacent neighborhoods and by using a 1-week shifted window.

Your browser is not supported

Networks were created using networkx and visualization and analysis of their structural features were performed using Cytoscape. A null-distribution was obtained from a thousand iterations of PCC calculation of the reshuffled causalities by week for each municipality. A z-score was assigned to each correlation value by placing the observed PCC in the null-distribution.

Correlation heatmap was generated using the ComplexHeatmap package in R. This proxy was used to obtain the homicides per capita of each neighborhood. Furthermore, the distance intervals where defined by a sequence of quantile values from 0 to 1 with a 0. In total there are 20 distance intervals. Nodes and ways were parsed from the data using the pyosmium library, where ways were fined-grained to retrieve only their nodes coordinates. Rose, J. Law Rev. Google Scholar.