Global Warming

[Anomaly]

WO HO Fish On!!!! Its a Copy and Post King!!! Hook Line and Sinker. I knew you would take the bait!!!! HAHAHA You, Bernie, AOC have been sniffing too many unicorn farts and snorting fairy dust. #walkaway, the ones with any speck of brains are moving over here with us. We are getting sick of the lefts wacko ideas.

Intersting, he of no sources he can back up with fact, study and reliable checkable sources. Yep, I copied and pasted reality and YOU, Rusty, have zero to back you up. NOTHING! hahaha Show some sources of shut up then grow up.  

[Anomaly]

I'm still waiting and the all knowing clamfarmer hasn't schooled me yet

Nope, I read all your stuff. Just wanted to stop you from waiting. hehehe

[Anomaly]

The one thing that is certain, is that NONE of us will be around to see the outcome...h2l

It’s already here and will be getting worse and worse. Have you noticed the news and extremes of weather lately?

[Anomaly]

WO HO Fish On!!!! Its a Copy and Post King!!! Hook Line and Sinker. I knew you would take the bait!!!! HAHAHA You, Bernie, AOC have been sniffing too many unicorn farts and snorting fairy dust. #walkaway, the ones with any speck of brains are moving over here with us. We are getting sick of the lefts wacko ideas.

The only thing you have to go on is "sniffing too many unicorn farts and snorting fairy dust.” Show where you get you info. If you can’t that says a lot about your brand of kool-aid. What are you afraid of. I don’t post “ideas” let alone “wacko ideas”. The wackos’ have nothing but snowflake right wing kool-aid.  I post vetted science and repeatable data from verifiable sources. Have you not the guts or brains to do the same. YOU just ain’t got it. I have yet to see any of you guys post something real.

[Anomaly]

The one thing that is certain, is that NONE of us will be around to see the outcome...h2l

"Scientists already have documented these impacts of climate change:

Ice is melting worldwide, especially at the Earth’s poles. This includes mountain glaciers, ice sheets covering West Antarctica and Greenland, and Arctic sea ice. In Montana's Glacier National Park the number of glaciers has declined to fewer than 30 from more than 150 in 1910.
Much of this melting ice contributes to sea-level rise. Global sea levels are rising 0.13 inches (3.2 millimeters) a year, and the rise is occurring at a faster rate in recent years.
Rising temperatures are affecting wildlife and their habitats. Vanishing ice has challenged species such as the Adélie penguin in Antarctica, where some populations on the western peninsula have collapsed by 90 percent or more.
As temperatures change, many species are on the move. Some butterflies, foxes, and alpine plants have migrated farther north or to higher, cooler areas.
Precipitation (rain and snowfall) has increased across the globe, on average. Yet some regions are experiencing more severe drought, increasing the risk of wildfires, lost crops, and drinking water shortages.
Some species—including mosquitoes, ticks, jellyfish, and crop pests—are thriving. Booming populations of bark beetles that feed on spruce and pine trees, for example, have devastated millions of forested acres in the U.S.”
https://www.nationalgeographic.com/environment/global-warming/global-warming-effects/

[grub662]

WOW, hang on boys. He made a few powerful runs and my drag is smoking but he is hooked Good!!

[teampar]

WOW, hang on boys. He made a few powerful runs and my drag is smoking but he is hooked Good!!

😂😭

[Anomaly]

WOW, hang on boys. He made a few powerful runs and my drag is smoking but he is hooked Good!!

Fishing on a machine pretending you have something hooked and are playing it is about as real as you get. Stop running your typing fingers mouth. Show something to back yourself up with facts or just shut up and  Have fun in your play pen, little one. Once again: Where do you get your facts and studies to inform your opinion. I guess you just like touching yourself, so to speak.  Just so you know, I always give fools the last word.

[blacktrap]

Aside from debating over if its real or not or how its caused, the real issue is all of the so called fixes for carbon emissions.  Until people get real about solving it, all the arguing isnt going to do anything.  I dont know very many of my friends or neighbors that are going to be happy if they turn the light switch on in the middle of the night and nothing happens.  All of the solar and wind wack nuts have no answer as to how we power the grid and keep our standard of living that we have without base loading the power grid somehow.  The base load issue has not been solved without using alot of nuclear power or some other standby power source that we are going to have to pay for along with the nice expensive wind and solar "green" power.  The enormity of it is staggering and not something that Im betting you will find alot of people trust the government to fix.

[Anomaly]

Aside from debating over if its real or not or how its caused, the real issue is all of the so called fixes for carbon emissions.  Until people get real about solving it, all the arguing isnt going to do anything.  I dont know very many of my friends or neighbors that are going to be happy if they turn the light switch on in the middle of the night and nothing happens.  All of the solar and wind wack nuts have no answer as to how we power the grid and keep our standard of living that we have without base loading the power grid somehow.  The base load issue has not been solved without using alot of nuclear power or some other standby power source that we are going to have to pay for along with the nice expensive wind and solar "green" power.  The enormity of it is staggering and not something that Im betting you will find alot of people trust the government to fix.

(One more trip to Junior, Saturday!!!)

Yeah blacktrap, a reasonable surmise! The plan would be to phase in renewables while phasing out fossil fuels. Fossil fuels would be employed diminishingly over the short term decades. Yes, there would need to be standby and co generation.  Large battery banks would take up slack during bad weather times using the existing grid and the updating grid. Lithium availability is another issue, but there are emerging new battery technologies.  Meanwhile, solar and wind will create many more jobs than are now being lost in the coal industry, and if we are smart, production of equipment would be done in the US or in closer cooperation with producing nations. It is worth noting, petroleum and coal have many uses in production goods and services, including, for instance: plastics, pharmesuticals, fertilizer, vehicles parts, manufacturing renewable tech equipment and  powering high speed rail. It could be fossil fuels are channeled into specific service for the most efficient long term use, rather than burning it all up quickly. WE cold have the use of fossil fuels for hundreds of years in this way.

Meanwhile MY whole home is being powered by 9 solar panels and 20 batteries. Even in winter, it runs the washer and all house electric. I can’t do laundry on extended clouded days yet. BUT I will have 40 batteries connected to 12 296w/32.9v panels by mid summer. and another 10 batteries fully charged on standby. It’s wicked overkill. hahaha. It’ll run a small electric water heater - it would now if I didn’t like strong flow showers. ( I now use an on demand propane that works great - the electric will likely be plumbed into it for a preheat when necessary or desired to save propane ), a micowave, the well pump and a 15 cubic ft. freezer along with the other home stuff and power tools. 

It is long past conjecture as to whether or not humans are effecting climate change and global warming. The conjecture and intent now should turn to cognizant use of current and evolving technologies to best maintain our planet and lives.

[grub662]

When you get India and China to comply with your demands get back to me.

[Anomaly]

When you get India and China to comply with your demands get back to me.

China is already WAY ahead of us, AFTER the republican congress said they wouldn’t comply. Wellll... they did and they will bury us in new tech. I don’t know about India. Get informed then get back to me. Show sources have another budweiser and shut up. The US can lead, but the people in oil and coal prefer they keep us poor and stupid. Seems to work where you live. Like I said, get informed and show sources. I won’t respond to you again until you come up with something to verify your last call logic.

[filetandrelease]

Is this the list we are looking for ? I apologize if I’m missing the mark
 http:// List of most-polluted cities by particulate matter concentration
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This list contains the top 500 cities by PM2.5 annual mean concentration measurement as documented by the World Health Organization covering the period from 2008 to 2017. The 2018 version of the WHO database contains results of ambient (outdoor) air pollution monitoring from almost 2700 towns and cities in 91 countries. Air quality in the database is represented by the annual mean concentration of particulate matter (PM10 and PM2.5, i.e. particles smaller than 10 or 2.5 micrometers, respectively).[1][2][3]

Position   Country   City/Town   Year   PM2.5   Temporal coverage   PM10   Temporal coverage   Database version (year)
1   India   Kanpur   2016   173   >75%   319   NA   2018
2   India   Faridabad   2016   172   >75%   316   NA   2018
3   India   Gaya   2016   149   50% -< 75%   275   NA   2018
4   India   Varanasi   2016   146   >75%   260   NA   2018
5   India   Patna   2016   144   >75%   266   NA   2018
6   India   Delhi   2016   143   >75%   292   NA   2018
7   India   Lucknow   2016   138   >75%   255   NA   2018
8   Cameroon   Bamenda   2012   132   NA   141   NA   2016
9   India   Agra   2016   131   >75%   194   NA   2018
10   India   Gurgaon   2016   120   50% -< 75%   124   NA   2018
11   India   Muzaffarpur   2016   120   >75%   221   NA   2018
12   Pakistan   Peshawar   2010   111   NA   540   NA   2016
13   Pakistan   Rawalpindi   2010   107   NA   448   NA   2016
14   India   Jaipur   2016   105   50% -< 75%   193   NA   2018
15   Uganda   Kampala   2013   104   NA   170   NA   2016
16   India   Patiala   2016   101   NA   184   NA   2018
17   India   Jodhpur   2016   98   >75%   180   NA   2018
18   Bangladesh   Narayangonj   2015   94   >75%   205   >75%   2018
19   China   Baoding   2016   93   NA   147   NA   2018
20   Qatar   Doha   2012   93   NA   168   NA   2016
21   Mongolia   Ulaanbaatar   2016   92   >75%   197   NA   2018
22   China   Ji'nan   2014   90   NA   192   NA   2018
23   China   Shijiazhuang   2015   89   NA   147   NA   2018
24   Pakistan   Karachi   2009   88   NA   290   NA   2016
25   China   Hengshui   2016   87   NA   143   NA   2018
26   China   Xingtai   2016   87   NA   186   NA   2018
27   China   Anyang   2016   86   NA   155   NA   2018
28   China   Liaocheng   2016   86   NA   151   NA   2018
29   China   Jiaozuo   2016   85   NA   142   NA   2018
30   Qatar   Al Wakrah   2012   85   NA   152   NA   2016
31   Bangladesh   Khulna   2015   84   50% -< 75%   94   >75%   2018
32   China   Xinxiang   2016   84   NA   144   NA   2018
33   India   Nagpur   2016   84   NA   86   NA   2018
34   China   Handan   2016   82   NA   175   NA   2018
35   China   Heze   2016   82   NA   143   NA   2018
36   China   Ji'ning   2015   82   NA   140   NA   2018
37   China   Xianyang   2016   82   NA   149   NA   2018
38   Bangladesh   Gazipur   2015   81   >75%   143   >75%   2018
39   China   Dezhou   2016   81   NA   141   NA   2018
40   China   Zaozhuang   2016   81   NA   141   NA   2018
41   Bangladesh   Barisal   2015   80   >75%   113   >75%   2018
42   China   Dongying   2015   79   NA   136   NA   2018
43   China   Luoyang   2016   79   NA   130   NA   2018
44   Kuwait   Al-Ahmadi   2015   79   >75%   138   >75%   2018
45   China   Shouguang   2014   78   NA   117   NA   2016
46   China   Zhengzhou   2016   78   NA   143   NA   2018
47   China   Luohe   2016   77   NA   130   NA   2018
48   China   Shangqiu   2016   77   NA   127   NA   2018
49   China   Weinan   2016   76   NA   139   NA   2018
50   China   Pingdingshan   2016   75   NA   125   NA   2018
51   Saudi Arabia   Yanbu   2017   75   >75%   116   >75%   2018
52   China   Linfen   2016   74   NA   158   NA   2018
53   China   Tangshan   2016   74   NA   127   NA   2018
54   China   Urumqi   2016   74   NA   115   NA   2018
55   India   Kolkata   2016   74   >75%   136   NA   2018
56   China   Beijing   2016   73   NA   92   NA   2018
57   China   Hebi   2016   73   NA   128   NA   2018
58   China   Jinan   2016   73   NA   141   NA   2018
59   China   Laiwu   2016   73   NA   127   NA   2018
60   China   Zigong   2016   73   NA   99   NA   2018
61   Saudi Arabia   Riyadh   2016   73   NA   251   NA   2018
62   China   Anshan   2015   72   NA   115   NA   2018
63   China   Kaifeng   2016   72   NA   122   NA   2018
64   China   Xi'an   2016   71   NA   137   NA   2018
65   China   Binzhou   2016   70   NA   123   NA   2018
66   China   Yangquan   2014   70   NA   105   NA   2016
67   China   Cangzhou   2016   69   NA   147   NA   2018
68   China   Puyang   2016   69   NA   137   NA   2018
69   China   Tianjin   2016   69   NA   103   NA   2018
70   China   Jiangyin   2014   68   NA   102   NA   2016
71   China   Weinan   2014   68   NA   102   NA   2016
72   China   Xuchang   2016   68   NA   122   NA   2018
73   China   Zhoukou   2016   68   NA   113   NA   2018
74   China   Zhumadian   2016   68   NA   120   NA   2018
75   Pakistan   Lahore   2010   68   NA   198   NA   2016
76   Chile   Comuna De Coyhaique   2016   67   NA   85   NA   2018
77   China   Changzhi   2014   67   NA   101   NA   2016
78   Cameroon   Bafoussam   2012   67   NA   105   NA   2016
79   Bangladesh   Chittagong   2015   66   50% -< 75%   91   >75%   2018
80   Bahrain   Hamad Town   2012   66   NA   318   NA   2016
81   China   Langfang   2016   66   NA   112   NA   2018
82   China   Sanmenxia   2016   66   NA   127   NA   2018
83   China   Taiyuan   2016   66   NA   125   NA   2018
84   Iran   Hamedan   2013   66   NA   149   NA   2018
85   Pakistan   Islamabad   2011   66   NA   217   NA   2016
86   Bosnia and Herzegovina   Tuzla   2010   65   NA   106   NA   2016
87   India   Ahmedabad   2015   65   50% -< 75%   120   NA   2018
88   Bahrain   Ma'ameer   2012   64   NA   257   NA   2016
89   Bosnia and Herzegovina   Lukavac   2016   64   >75%   84   NA   2018
90   Chile   Coyhaique   2014   64   NA   75   NA   2016
91   China   Jurong   2014   64   NA   97   NA   2016
92   China   Luzhou   2016   64   NA   87   NA   2018
93   China   Xiangyang   2016   64   NA   93   NA   2018
94   India   Mumbai   2016   64   >75%   104   NA   2018
95   Bahrain   Manama   2016   63   50% -< 75%   154   NA   2018
96   China   Chengdu   2016   63   NA   105   NA   2018
97   China   Leshan   2016   63   NA   93   NA   2018
98   China   Nanyang   2016   63   NA   119   NA   2018
99   China   Tai'an   2016   63   NA   112   NA   2018
100   China   Xining   2014   63   NA   120   NA   2018
101   China   Jincheng   2016   62   NA   111   NA   2018
102   China   Jinzhong   2016   62   NA   109   NA   2018
103   China   Yichang   2016   62   NA   97   NA   2018
104   Bangladesh   Sylhet   2015   61   >75%   111   >75%   2018
105   Iran   Qods   2016   61   NA   140   NA   2018
106   China   Ezhou   2016   60   NA   100   NA   2018
107   China   Fuyang   2014   60   NA   90   NA   2016
108   China   Jingzhou   2016   60   NA   100   NA   2018
109   China   Xuzhou   2016   60   NA   118   NA   2018
110   China   Zhangjiagang   2014   60   NA   91   NA   2016
111   India   Chandrapur   2016   60   >75%   109   NA   2018
112   South Africa   Hartebeespoort   2014   60   NA   119   NA   2016
113   China   Baoji   2016   59   NA   111   NA   2018
114   China   Chuzhou   2016   59   NA   77   NA   2018
115   China   Tongchuan   2016   59   NA   104   NA   2018
116   Bahrain   Nabih Saleh   2012   58   NA   244   NA   2016
117   China   Bozhou   2016   58   NA   83   NA   2018
118   China   Jingmen   2016   58   NA   99   NA   2018
119   China   Korla   2014   58   NA   87   NA   2016
120   China   Lin'an   2014   58   NA   87   NA   2016
121   China   Pingdu   2014   58   NA   88   NA   2016
122   China   Wafangdian   2014   58   NA   88   NA   2016
123   China   Xinyang   2016   58   NA   96   NA   2018
124   China   Yibin   2015   58   NA   82   NA   2018
125   China   Yiwu   2014   58   NA   88   NA   2016
126   China   Zhuji   2014   58   NA   88   NA   2016
127   Iran   Ahvaz   2016   58   NA   132   NA   2018
128   Saudi Arabia   Jubail   2016   58   >75%   129   >75%   2018
129   Bangladesh   Dhaka   2016   57   >75%   104   NA   2018
130   China   Hefei   2016   57   NA   83   NA   2018
131   China   Huangshi   2016   57   NA   89   NA   2018
132   China   Maanshan   2014   57   NA   87   NA   2016
133   China   Nanchong   2014   57   NA   86   NA   2016
134   China   Wuhan   2016   57   NA   92   NA   2018
135   China   Changde   2016   56   NA   80   NA   2018
136   China   Dazhou   2016   56   NA   86   NA   2018
137   China   Huainan   2016   56   NA   85   NA   2018
138   China   Laixi   2014   56   NA   84   NA   2016
139   China   Laizhou   2014   56   NA   84   NA   2016
140   China   Linyi   2014   56   NA   84   NA   2016
141   China   Suizhou   2016   56   NA   88   NA   2018
142   China   Suqian   2016   56   NA   120   NA   2018
143   China   Wujiang   2014   56   NA   85   NA   2016
144   China   Xinzhou   2016   56   NA   103   NA   2018
145   Iran   Genaveh   2016   56   NA   129   NA   2018
146   Saudi Arabia   Dammam   2016   56   NA   161   NA   2018
147   China   Deyang   2016   55   NA   91   NA   2018
148   China   Jinzhou   2016   55   NA   81   NA   2018
149   China   Rizhao   2016   55   NA   101   NA   2018
150   China   Taian   2014   55   NA   83   NA   2016
151   China   Yinchuan   2016   55   NA   117   NA   2018
152   Ghana   Accra   2016   55   NA   112   NA   2018
153   India   Panchkula   2016   55   >75%   101   NA   2018
154   Iran   Asaluyeh   2016   55   NA   126   NA   2018
155   China   Anqing   2016   54   NA   71   NA   2018
156   China   Chongqing   2016   54   NA   77   NA   2018
157   China   Jining   2014   54   NA   81   NA   2016
158   China   Lanzhou   2016   54   NA   132   NA   2018
159   China   Neijiang   2016   54   NA   76   NA   2018
160   China   Shaoyang   2016   54   NA   77   NA   2018
161   China   Shenyang   2016   54   NA   94   NA   2018
162   China   Taicang   2014   54   NA   82   NA   2016
163   China   Yixing   2014   54   NA   81   NA   2016
164   China   Zhaoyuan   2014   54   NA   82   NA   2016
165   China   Zibo   2014   54   NA   82   NA   2016
166   China   Changsha   2016   53   NA   73   NA   2018
167   China   Huai'an   2016   53   NA   92   NA   2018
168   China   Wuhu   2016   53   NA   75   NA   2018
169   China   Wuxi   2016   53   NA   82   NA   2018
170   China   Harbin   2016   52   NA   74   NA   2018
171   China   Hengyang   2016   52   NA   76   NA   2018
172   China   Jiaonan   2014   52   NA   79   NA   2016
173   China   Jiaozhou   2014   52   NA   79   NA   2016
174   China   Liyang   2014   52   NA   78   NA   2016
175   China   Haimen   2014   51   NA   77   NA   2016
176   China   Huanggang   2016   51   NA   75   NA   2018
177   China   Jimo   2014   51   NA   77   NA   2016
178   China   Shiyan   2016   51   NA   81   NA   2018
179   China   Taizhou, Jiangsu   2016   51   NA   87   NA   2018
180   China   Tongling   2016   51   NA   78   NA   2018
181   China   Xiangtan   2016   51   NA   85   NA   2018
182   China   Xuancheng   2016   51   NA   68   NA   2018
183   China   Yangzhou   2016   51   NA   87   NA   2018
184   China   Zhuzhou   2016   51   NA   83   NA   2018
185   Kuwait   Saad Al-Abdullah   2016   51   50% -< 75%   63   >75%   2018
186   China   Baishan   2016   50   NA   81   NA   2018
187   China   Jiujiang   2016   50   NA   74   NA   2018
188   China   Zhenjiang   2016   50   NA   80   NA   2018
189   India   Pune   2016   50   >75%   89   NA   2018
190   Iran   Zabol   2016   50   NA   115   NA   2018
191   Chile   Padre Las Casas   2016   49   NA   64   NA   2018
192   China   Changshu   2014   49   NA   74   NA   2016
193   China   Changzhou   2016   49   NA   81   NA   2018
194   China   Hangzhou   2016   49   NA   105   NA   2018
195   China   Ma'anshan   2016   49   NA   75   NA   2018
196   China   Mianyang   2016   49   NA   78   NA   2018
197   China   Weifang   2014   49   NA   73   NA   2016
198   China   Xi'ning   2016   49   NA   113   NA   2018
199   China   Yueyang   2016   49   NA   72   NA   2018
200   China   Ziyang   2016   49   NA   95   NA   2018
201   Cameroon   Yaounde   2012   49   NA   65   NA   2016
202   India   Chennai   2016   49   >75%   80   NA   2018
203   Nepal   Kathmandu   2013   49   NA   88   NA   2016
204   China   Baicheng   2016   48   NA   75   NA   2018
205   China   Enshi   2016   48   NA   69   NA   2018
206   China   Jintan   2014   48   NA   72   NA   2016
207   China   Nanjing   2016   48   NA   85   NA   2018
208   China   Rushan   2014   48   NA   72   NA   2016
209   China   Tieling   2016   48   NA   83   NA   2018
210   China   Wuzhong   2016   48   NA   98   NA   2018
211   China   Xianning   2016   48   NA   77   NA   2018
212   China   Yan'an   2014   48   NA   73   NA   2016
213   China   Zhangjiajie   2016   48   NA   72   NA   2018
214   Viet Nam   Ha Noi   2016   48   >75%   102   NA   2018
215   Bangladesh   Rajshahi   2015   47   >75%   86   50% -< 75%   2018
216   China   Baotou   2016   47   NA   105   NA   2018
217   China   Guilin   2016   47   NA   64   NA   2018
218   China   Huludao   2016   47   NA   87   NA   2018
219   China   Huzhou   2016   47   NA   100   NA   2018
220   China   Liaoyang   2016   47   NA   83   NA   2018
221   China   Shizuishan   2016   47   NA   114   NA   2018
222   China   Zhangqiu   2014   47   NA   71   NA   2016
223   China   Changchun   2016   46   NA   78   NA   2018
224   China   Guang'an   2016   46   NA   78   NA   2018
225   China   Haidong   2016   46   NA   114   NA   2018
226   China   Jinhua   2016   46   NA   98   NA   2018
227   China   Kunshan   2014   46   NA   69   NA   2016
228   China   Lianyungang   2016   46   NA   87   NA   2018
229   China   Liaoyuan   2016   46   NA   63   NA   2018
230   China   Loudi   2016   46   NA   71   NA   2018
231   China   Lu'an   2016   46   NA   73   NA   2018
232   China   Nantong   2016   46   NA   70   NA   2018
233   China   Penglai   2014   46   NA   69   NA   2016
234   China   Qinhuangdao   2016   46   NA   87   NA   2018
235   China   Siping   2016   46   NA   77   NA   2018
236   China   Suzhou   2016   46   NA   72   NA   2018
237   China   Wendeng   2014   46   NA   69   NA   2016
238   China   Wuhai   2016   46   NA   111   NA   2018
239   India   Bangalore   2016   46   >75%   96   50% -< 75%   2018
240   Iran   Baghershahr   2016   46   NA   105   NA   2018
241   Iran   Bushehr   2016   46   NA   105   NA   2018
242   Philippines   Nia Road   2016   46   NA   98   NA   2018
243   China   Benxi   2016   45   NA   74   NA   2018
244   China   Daqing   2015   45   NA   62   NA   2018
245   China   Ganzhou   2016   45   NA   68   NA   2018
246   China   Huangnan   2016   45   NA   86   NA   2018
247   China   Qingdao   2016   45   NA   85   NA   2018
248   China   Shanghai   2016   45   NA   59   NA   2018
249   China   Shaoxing   2016   45   NA   68   NA   2018
250   China   Xiaogan   2016   45   NA   78   NA   2018
251   China   Yongzhou   2016   45   NA   70   NA   2018
252   Indonesia   Jakarta   2016   45   >75%   82   NA   2018
253   Philippines   Navotas City   2016   45   NA   96   NA   2018
254   Bahrain   Ras Hayan   2012   44   NA   250   NA   2016
255   Chile   Osorno   2016   44   NA   56   NA   2018
256   China   Fushun   2016   44   NA   78   NA   2018
257   China   Jiaxing   2016   44   NA   94   NA   2018
258   China   Liuzhou   2016   44   NA   66   NA   2018
259   China   Suining   2016   44   NA   68   NA   2018
260   China   Xiangxi   2016   44   NA   78   NA   2018
261   China   Yingkou   2016   44   NA   73   NA   2018
262   China   Yiyang   2016   44   NA   82   NA   2018
263   China   Zunyi   2016   44   NA   69   NA   2018
264   India   Hyderabad   2016   44   >75%   84   NA   2018
265   Iran   Dehloran   2016   44   NA   100   NA   2018
266   Iran   Mehran   2016   44   NA   102   NA   2018
267   China   Nanchang   2016   43   NA   92   NA   2018
268   China   Quzhou   2016   43   NA   92   NA   2018
269   China   Taizhou   2014   43   NA   71   NA   2018
270   China   Yancheng   2016   43   NA   92   NA   2018
271   China   Dandong   2016   42   NA   71   NA   2018
272   China   Datong   2014   42   NA   63   NA   2016
273   China   Huaihua   2016   42   NA   79   NA   2018
274   China   Jilin   2016   42   NA   69   NA   2018
275   China   Tianshui   2016   42   NA   80   NA   2018
276   China   Tonghua   2016   42   NA   76   NA   2018
277   China   Ya'an   2016   42   NA   68   NA   2018
278   Iran   Kangan   2016   42   NA   96   NA   2018
279   Viet Nam   Ho Chi Minh City   2016   42   >75%   90   NA   2018
280   Bahrain   Hidd   2012   41   NA   178   NA   2016
281   Chile   Valdivia   2016   41   NA   67   NA   2018
282   China   Chenzhou   2016   41   NA   70   NA   2018
283   China   Hohhot   2016   41   NA   88   NA   2018
284   China   Pingliang   2016   41   NA   80   NA   2018
285   China   Shangrao   2016   41   NA   70   NA   2018
286   China   Yingtan   2016   41   NA   59   NA   2018
287   Colombia   La Estrella   2014   41   NA   47   NA   2016
288   Guatemala   Guatemala   2013   41   NA   56   NA   2016
289   Croatia   Slavonski Brod   2016   41   >75%   63   NA   2018
290   India   Navi Mumbai   2016   41   NA   67   NA   2018
291   India   Udaipur   2016   41   NA   98   NA   2018
292   South Africa   Johannesburg   2011   41   NA   85   NA   2016
293   China   Chengde   2016   40   NA   81   NA   2018
294   China   Panjin   2016   40   NA   67   NA   2018
295   India   Guwahati   2016   40   NA   81   NA   2018
296   North Macedonia   Skopje   2016   40   >75%   69   >75%   2018
297   China   Baiyin   2016   39   NA   95   NA   2018
298   China   Dalian   2016   39   NA   67   NA   2018
299   China   Jieyang   2016   39   NA   60   NA   2018
300   China   Liupanshui   2016   39   NA   68   NA   2018
301   China   Ningbo   2016   39   NA   62   NA   2018
302   China   Shangluo   2016   39   NA   72   NA   2018
303   China   Wuwei   2016   39   NA   97   NA   2018
304   China   Yantai   2016   39   NA   76   NA   2018
305   China   Zhaoyang   2016   39   NA   69   NA   2018
306   India   Solapur   2016   39   >75%   71   NA   2018
307   Iran   shahinshahr   2016   39   NA   89   NA   2018
308   Peru   Lima   2016   39   50% -< 75%   58   >75%   2018
309   Turkey   Amasya   2016   39   >75%   57   >75%   2018
310   China   Foshan   2016   38   NA   55   NA   2018
311   China   Gannan[disambiguation needed]   2016   38   NA   70   NA   2018
312   China   Guigang   2016   38   NA   55   NA   2018
313   China   Rongcheng[disambiguation needed]   2014   38   NA   57   NA   2016
314   China   Wenzhou   2016   38   NA   81   NA   2018
315   China   Zhangye   2016   38   NA   90   NA   2018
316   India   Jabalpur   2016   38   NA   79   NA   2018
317   Iran   Shahre Ghods   2016   38   NA   87   NA   2018
318   Iran   Shahryar   2016   38   NA   87   NA   2018
319   China   Chifeng   2016   37   NA   76   NA   2018
320   China   Guiyang   2016   37   NA   63   NA   2018
321   China   Guoluo   2016   37   NA   72   NA   2018
322   China   Mudanjiang   2016   37   NA   68   NA   2018
323   China   Qinzhou   2016   37   NA   79   NA   2018
324   China   Zhaoqing   2016   37   NA   55   NA   2018
325   Iran   Lavan Island   2016   37   NA   85   NA   2018
326   Iran   Sari   2012   37   NA   90   NA   2016
327   Madagascar   Antananarivo   2008   37   NA   60   NA   2016
328   China   Dingxi   2016   36   NA   75   NA   2018
329   China   Guangzhou   2016   36   NA   56   NA   2018
330   China   Nanning   2016   36   NA   62   NA   2018
331   China   Qingyuan   2016   36   NA   52   NA   2018
332   China   Qiqihar   2016   36   NA   61   NA   2018
333   China   Taizhou, Zhejiang   2016   36   NA   77   NA   2018
334   Colombia   Medellin   2015   36   >75%   60   >75%   2018
335   Iran   Varamin   2016   36   NA   83   NA   2018
336   Iran   Yazd   2016   36   NA   83   NA   2018
337   Mexico   Monterrey   2011   36   NA   86   NA   2016
338   Pakistan   Faisalabad   2013   36   >75%   148   >75%   2018
339   Chile   El Bosque, Chile   2016   35   NA   67   NA   2018
340   Chile   Temuco   2016   35   NA   52   NA   2018
341   China   Dongguan   2016   35   NA   49   NA   2018
342   China   Songyuan   2016   35   NA   69   NA   2018
343   China   Weihai   2016   35   NA   63   NA   2018
344   Cuba   La Habana   2015   35   50% -< 75%   75   NA   2018
345   Guatemala   Guatemala City   2014   35   NA   47   NA   2018
346   India   Trivendrum   2016   35   NA   48   NA   2018
347   Iran   Ghom   2016   35   NA   81   NA   2018
348   China   Hechi   2016   34   NA   55   NA   2018
349   China   Jiangmen   2016   34   NA   55   NA   2018
350   China   Nantou   2014   34   NA   51   NA   2016
351   China   Shuangyashan   2016   34   NA   55   NA   2018
352   China   Yunfu   2016   34   NA   51   NA   2018
353   India   Vizag   2016   34   NA   76   NA   2018
354   Iran   Ilam, Iran   2016   34   NA   79   NA   2018
355   Philippines   Malabon   2015   34   NA   73   NA   2018
356   Philippines   Pasig   2016   34   NA   73   NA   2018
357   South Africa   Vereeniging   2014   34   NA   58   NA   2016
358   Chile   Cerro Navia   2016   33   NA   62   NA   2018
359   Chile   Los Angeles   2016   33   NA   57   NA   2018
360   China   Chaozhou   2016   33   NA   51   NA   2018
361   China   Jiayuguan   2016   33   NA   98   NA   2018
362   China   Lishui   2016   33   NA   70   NA   2018
363   China   Shaoguan   2016   33   NA   51   NA   2018
364   China   Zhangzhou   2016   33   NA   65   NA   2018
365   Indonesia   Bandung   2014   33   NA   59   NA   2016
366   India   Tezpur   2016   33   NA   52   NA   2018
367   Iran   Khorramabad   2016   33   NA   75   NA   2018
368   Iran   Pakdasht   2016   33   NA   75   NA   2018
369   Lebanon   Zahle   2014   33   NA   40   NA   2016
370   Mexico   Toluca   2011   33   NA   80   NA   2016
371   Poland   Godow   2016   33   >75%   43   >75%   2018
372   Poland   Pleszewski   2016   33   >75%   38   >75%   2018
373   Chile   Linares   2016   32   NA   65   NA   2018
374   Chile   Pudahuel   2016   32   NA   69   NA   2018
375   China   Changhua   2014   32   NA   48   NA   2016
376   China   Haibei   2016   32   NA   76   NA   2018
377   China   Heyuan   2016   32   NA   46   NA   2018
378   China   Jinchang   2016   32   NA   104   NA   2018
379   China   Kinmen   2014   32   NA   48   NA   2016
380   China   Panzhihua   2016   32   NA   65   NA   2018
381   China   Qujing   2014   32   NA   48   NA   2016
382   China   Zhangjiakou   2016   32   NA   68   NA   2018
383   Czech Republic   Dolni Lutyne   2016   32   >75%   40   >75%   2018
384   Iran   Abadan   2016   32   NA   74   NA   2018
385   Iran   Asadabad   2016   32   NA   73   NA   2018
386   Iran   Eslamshahr   2016   32   NA   73   NA   2018
387   Iran   Kermanshah   2016   32   NA   73   NA   2018
388   Iran   Savegbelagh   2016   32   NA   72   NA   2018
389   Republic of Korea   Jeollabuk Do   2016   32   NA   51   NA   2018
390   Lebanon   Beirut   2014   32   NA   41   NA   2016
391   Philippines   Caloocan City   2015   32   NA   68   NA   2018
392   Philippines   Pateros City   2015   32   NA   68   NA   2018
393   Poland   Gliwice   2016   32   >75%   46   >75%   2018
394   Turkey   Sakarya   2016   32   >75%   60   >75%   2018
395   Chile   Cerrillos   2016   31   NA   66   NA   2018
396   China   Chiayi   2014   31   NA   46   NA   2016
397   China   Hainan   2016   31   NA   69   NA   2018
398   China   Yanbian   2016   31   NA   49   NA   2018
399   China   Yangjiang   2016   31   NA   44   NA   2018
400   China   Yunlin   2014   31   NA   46   NA   2016
401   Iran   Arak   2016   31   NA   71   NA   2018
402   Iran   Esfahan   2014   31   NA   72   NA   2018
403   Iran   Nazarabad   2016   31   NA   71   NA   2018
404   Philippines   Marikina City   2016   31   NA   66   NA   2018
405   Poland   Krakow   2016   31   >75%   42   >75%   2018
406   Poland   Nowy Sacz   2016   31   >75%   41   >75%   2018
407   Turkey   Edirne   2016   31   >75%   55   >75%   2018
408   South Africa   Mpumalanga   2013   31   NA   61   NA   2016
409   South Africa   Sebokeng   2014   31   NA   42   NA   2016
410   Chile   Quilicura   2015   30   NA   89   NA   2018
411   China   Bijie   2016   30   NA   44   NA   2018
412   China   Kaohsiung   2014   30   NA   46   NA   2016
413   China   Karamay   2016   30   NA   55   NA   2018
414   China   Maoming   2016   30   NA   47   NA   2018
415   China   Shantou   2016   30   NA   48   NA   2018
416   China   Yuxi   2014   30   NA   46   NA   2016
417   China   Zhongshan   2016   30   NA   44   NA   2018
418   Colombia   Caldas   2015   30   >75%   69   >75%   2018
419   Costa Rica   Belén   2013   30   NA   31   NA   2016
420   Croatia   Velika Gorica   2016   30   >75%   46   NA   2018
421   Iran   Isfahan   2016   30   NA   68   NA   2018
422   Iran   Karaj   2016   30   NA   68   NA   2018
423   Iran   Mashhad   2016   30   NA   69   NA   2018
424   Italy   Padova   2016   30   >75%   37   >75%   2018
425   Lebanon   Saida   2014   30   NA   37   NA   2016
426   Poland   Katowice   2016   30   >75%   41   >75%   2018
427   Turkey   Corum   2016   30   >75%   64   >75%   2018
428   South Africa   Zamdela   2014   30   NA   56   NA   2016
429   Bulgaria   Pernik   2014   29   >75%   44   >75%   2018
430   Bulgaria   Plovdiv   2015   29   >75%   41   >75%   2018
431   Bosnia and Herzegovina   Gorazde   2016   29   >75%   39   >75%   2018
432   Chile   Independencia   2016   29   NA   62   NA   2018
433   Chile   La Florida   2016   29   NA   65   NA   2018
434   Chile   Santiago   2016   29   NA   67   NA   2018
435   China   Fangchenggang   2016   29   NA   45   NA   2018
436   China   Putian   2016   29   NA   43   NA   2018
437   China   Taichung   2014   29   NA   44   NA   2016
438   China   Tainan   2014   29   NA   44   NA   2016
439   Costa Rica   Heredia   2013   29   NA   47   NA   2016
440   Iran   Najafabad   2016   29   NA   67   NA   2018
441   Iran   Yasuj   2016   29   NA   66   NA   2018
442   Israel   Gvar'am   2015   29   >75%   69   NA   2018
443   Italy   Casirate d'Adda   2013   29   NA   37   NA   2016
444   Italy   Monza   2016   29   >75%   35   >75%   2018
445   Morocco   Meknes   2008   29   NA   47   NA   2016
446   Philippines   Manila   2016   29   NA   118   NA   2018
447   Poland   Bochnia   2016   29   >75%   35   >75%   2018
448   Poland   Piotrkow Trybunalski   2016   29   >75%   38   >75%   2018
449   Poland   Zory   2016   29   >75%   42   >75%   2018
450   Chile   Curico   2016   28   NA   47   NA   2018
451   Chile   Rancagua   2016   28   NA   68   NA   2018
452   China   Eerduosi   2014   28   NA   42   NA   2016
453   China   Guangyuan   2016   28   NA   70   NA   2018
454   China   Huangshan   2016   28   NA   45   NA   2018
455   China   Jixi   2016   28   NA   53   NA   2018
456   China   Kunming   2016   28   NA   55   NA   2018
457   China   Lincang   2016   28   NA   44   NA   2018
458   China   Meizhou   2016   28   NA   46   NA   2018
459   China   Qiandongnan   2016   28   NA   45   NA   2018
460   China   Quanzhou   2016   28   NA   48   NA   2018
461   China   Xiamen   2016   28   NA   47   NA   2018
462   Iran   Bojnord   2016   28   NA   64   NA   2018
463   Iran   Khomeyni Shahr   2016   28   NA   64   NA   2018
464   Iran   Mobarakeh   2016   28   NA   65   NA   2018
465   Iran   Robatkarim   2016   28   NA   63   NA   2018
466   Iran   Sanandaj   2016   28   NA   64   NA   2018
467   Iran   Tehran   2016   28   NA   72   NA   2018
468   Israel   Jerusalem   2015   28   >75%   66   >75%   2018
469   Italy   Soresina   2016   28   >75%   39   >75%   2018
470   Republic of Korea   Gangwon-Do   2016   28   NA   47   NA   2018
471   Republic of Korea   Gyeonggi-Do   2016   28   NA   53   NA   2018
472   Poland   Bielsko-Biala   2016   28   >75%   36   >75%   2018
473   Poland   Tarnowskie Gory   2016   28   >75%   38   >75%   2018
474   Thailand   Bangkok   2015   28   NA   41   NA   2018
475   Bulgaria   Ruse   2015   27   >75%   41   >75%   2018
476   Chile   Puerto Montt   2016   27   NA   55   NA   2018
477   China   Anshun   2016   27   NA   38   NA   2018
478   China   Fuzhou   2016   27   NA   50   NA   2018
479   China   Haixi   2016   27   NA   65   NA   2018
480   China   Huizhou   2016   27   NA   45   NA   2018
481   China   Ningde   2016   27   NA   46   NA   2018
482   China   Shenzhen   2016   27   NA   42   NA   2018
483   Czech Republic   Karvina   2016   27   >75%   34   >75%   2018
484   India   Aizawl   2016   27   NA   44   NA   2018
485   Iran   Hamadan   2016   27   NA   61   NA   2018
486   Iran   Pol-e Dokhtar   2016   27   NA   62   NA   2018
487   Israel   Bnei Brak   2015   27   >75%   65   NA   2018
488   Italy   Cassino   2016   27   >75%   35   >75%   2018
489   Italy   Dalmine   2016   27   >75%   31   >75%   2018
490   Italy   Milano   2016   27   >75%   36   >75%   2018
491   Republic of Korea   Chungcheongnam-Do   2016   27   NA   48   NA   2018
492   Republic of Korea   Gyeongsangbuk-Do   2016   27   NA   40   NA   2018
493   Poland   Chelm   2015   27   >75%   35   >75%   2018
494   Poland   Kalisz   2016   27   >75%   33   >75%   2018
495   Poland   Kedzierzyn-Kozle   2016   27   >75%   32   >75%   2018
496   Poland   Lublin   2016   27   >75%   31   >75%   2018
497   Poland   Siedlce   2016   27   >75%   29   >75%   2018
498   Poland   Trzebinia   2016   27   >75%   35   >75%   2018
499   El Salvador   San Salvador   2016   27   50% -< 75%   59   NA   2018
500   Turkey   Sivas   2016   27   >75%   56   >75%   2018
References

[Anomaly]

Is this the list we are looking for ? I apologize if I’m missing the mark
 http:// List of most-polluted cities by particulate matter concentration

Good info....

Meanwhile China IS making serious strides to mitigate  these stats. At the same time, even given these stats, the US is the largest producer of green house gases and users of materials purchased from the other highest producers. SOOOOO, once again, The US is the largest influencer on the planet.

[filetandrelease]

http://The top three greenhouse gas emitters— China, the European Union and the United States—contribute more than half of total global emissions, while the bottom 100 countries only account for 3.5 percent. Collectively, the top 10 emitters account for nearly three-quarters of global emissions.

[Anomaly]

http://The top three greenhouse gas emitters— China, the European Union and the United States—contribute more than half of total global emissions, while the bottom 100 countries only account for 3.5 percent. Collectively, the top 10 emitters account for nearly three-quarters of global emissions.

Yep!

[Anomaly]

Good to see the folks on here that think beyond visceral reactions.

[9huskies]

Is this the list we are looking for ? I apologize if I’m missing the mark
 http:// List of most-polluted cities by particulate matter concentration

Particulate matter is not the same as greenhouse gasses. It is more likely to cause respiratory problems than any greenhose gasses. Some sources of high particulate air pollution can also be high emitters of greenhouse gasses. Other sources of greenhouse gasses emit very little airborne particulates.

[Anomaly]

9huskies "Particulate matter is not the same as greenhouse gasses. It is more likely to cause respiratory problems than any greenhose gasses. Some sources of high particulate air pollution can also be high emitters of greenhouse gasses. Other sources of greenhouse gasses emit very little airborne particulates.”

Yes. Love to see folks that have a degree of awareness!!! Thanks Guys!!!

[Linedogg104]

Hydroelectric plants. Can't get much greener or a more natural way to produce electricity. Windfarrms, solar arrays, battery banks. I've worked on and helped install all of these methods of electricity to the power grid. Much safer and more  cost effective than coal fired or nuclear powered generation stations. Fossil fuel and nuke plants have been being phased out for atleast 20 years and renewable sources have been replacing them for just as long. It doesn't happen as fast as we like because of the cost.

[Anomaly]

 :thumbsup:Things are moving, but the entrenched money is doing all it can to stop it. Profit for a few or wellbeing for many is the choice.

Hydroelectric plants. Can't get much greener or a more natural way to produce electricity. Windfarrms, solar arrays, battery banks. I've worked on and helped install all of these methods of electricity to the power grid. Much safer and more  cost effective than coal fired or nuclear powered generation stations. Fossil fuel and nuke plants have been being phased out for atleast 20 years and renewable sources have been replacing them for just as long. It doesn't happen as fast as we like because of the cost.

[moosehunter]

oh by the by you solar guys. what do you do with those panels and batteries when they are no longer working

[Anomaly]

oh by the by you solar guys. what do you do with those panels and batteries when they are no longer working

I should get 10 more years out of my batteries, then they will be replaced with the best tech new ones. The batteries will then be recycled, taken and sold for metal salvage.

The panels should give me another 15 plus years, then, They will be replaced as needed. In the next few years, there a lot of new developments and upgrades expected in the panel and battery technology, including life span.  I don’t think it will be as major as computers have developed, at least in size. In the 60’s a military government computer took up a city block. Now, you hold an exponentially more powerful on in your hand. I believe we will see good progress with solar, wind and tidal..... These techs are in their infancy, Like horseless carriages in the late 19th century.

"What Is the Lifespan of a Solar Panel? Photovoltaic (PV) modules typically come with 20 year warranties that guarantee that the panels will produce at least 80% of the rated power after 20 years of use. The general rule of thumb is that panels will degrade by about 1% each year.”  https://www.engineering.com/3DPrinting/3DPrintingArticles/ArticleID/7475/What-Is-the-Lifespan-of-a-Solar-Panel.aspx

[cap]

https://ebme.marine.rutgers.edu/HistoryEarthSystems/HistEarthSystems_Fall2008/Week10a/Berner_Science_1997.pdf

[Anomaly]

https://ebme.marine.rutgers.edu/HistoryEarthSystems/HistEarthSystems_Fall2008/Week10a/Berner_Science_1997.pdf

"But, fortunately, climate change is not a binary thing. It’s not the case that 1.4 degrees Celsius of warming is fine but 1.6 degrees is catastrophic. Every incremental increase in emissions leads to an incremental increase in temperature and in the risks that society and ecosystems face. Every bit we do to reduce warming reduces that risk.”  https://news.rutgers.edu/what-you-need-know-about-latest-un-climate-change-report/20181112#.XKT4uVLMy1s

"Discontinuities in vegetation responses at around 4 °C of global land surface warming across a number of the vegetation models indicate thresholds above which the positive impacts of increasing CO2 become dominated by negative impacts of moisture stress at the global scale. In two models the threshold is expressed in NPP, in two it is in residence time, and in one it is in both. Further work should focus on confronting the processes and emergent model behavior responsible for these discontinuities with observational data. Spatial and temporal variability in carbon residence time and tree mortality is an obvious place to start, and although recent studies have identified important sources of rele- vant data (e.g., refs. 20 and 21), data on key processes such as mortality at large scales are rare. An exception is the authors of ref. 22, who interrogated a large eastern US forest inventory database for mortality dynamics. They found substantial spatial variation in mortality rates, driven by species-specific relation- ships with environmental factors. Future changes in mortality rates cannot therefore be predicted simply from current mortality/ climate relationships. These data need to be fully understood at a mechanistic level, and used to inform methodologies for

Vegetation carbon residence time not only is important be- cause of its contribution to GVM uncertainty, but also represents a key stage in the cascade of carbon from the atmosphere, through various organic and inorganic surface pools, and back to the atmosphere. Changes in vegetation carbon residence times can cause major shifts in the distribution of carbon between pools, overall fluxes, and the time constants of terrestrial carbon tran- sitions, with consequences for the land carbon balance and the associated state of ecosystems. The model results presented here clearly demonstrate the need for increased understanding of the multifaceted dynamics of this key ecosystem property.”  https://www.pnas.org/content/pnas/111/9/3280.full.pdf

[GasBlaster]

[Anomaly]

"

https://ebme.marine.rutgers.edu/HistoryEarthSystems/HistEarthSystems_Fall2008/Week10a/Berner_Science_1997.pdf

RUTGERS LEAD STUDY: (Fisheries world wide are already in collapse. So, What does "Climate change shrinks many fisheries globally, Rutgers-led study finds” mean?

"We were stunned to find that fisheries around the world have already responded to ocean warming," said Malin Pinsky, study co-author and associate professor in Rutgers' Department of Ecology, Evolution, and Natural Resources. "These aren't hypothetical changes sometime in the future."

The study reports that the effects of ocean warming have been negative for many species, but also finds that other species have benefited from warming waters.

"Fish populations can only tolerate so much warming, though," said senior author, Olaf Jensen, an associate professor in Rutgers' Department of Marine and Coastal Sciences. "Many of the species that have benefited from warming so far are likely to start declining as temperatures continue to rise.”   https://www.eurekalert.org/pub_releases/2019-02/ru-ccs022219.php

“.....Overfishing provides a one-two punch to fisheries facing warming waters. Overfishing not only makes fisheries more vulnerable to ocean warming, but continued warming will also hinder efforts to rebuild overfished populations, the study says.

An important next step is to understand the impacts of ocean warming on tropical regions, where data are limited, according to Free. These regions rely heavily on coastal fisheries as a source of food and livelihoods. Another important step is to learn more about other potential impacts on ocean fisheries. Aside from ocean temperatures, ocean oxygen content, acidity and productivity are also changing and may influence fisheries."

[GasBlaster]

https://www.tednugent.com/al-gore-out-in-the-cold/

[Anomaly]

Check out @HowieCarrShow’s Tweet: https://twitter.com/HowieCarrShow/status/1113516939538718720?s=09

I’ll go with Rutgers, NOAA, NASA and the overwhelming science from scientists and Universities from all over the world.

Did you read ANY of those studies? I doubt it. Knowledge can be toxic to the comfort of ignorance. 

Howie Carr and Ted Nugget! hahahaha

Was you father born in a nice town in Germany too? hehe

[Anomaly]

He terminado aqui!