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{"url": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "raw": [{"content": "[page: 1]\nEmission_Inventory,Raw_Coal,CleanedCoal,Other_Washed_Coal,Briquettes,Coke,Coke_Oven_Gas,Other_Gas,Other_Coking_Products,Crude_Oil,Gasoline,Kerosene,Diesel_Oil,Fuel_Oil,LPG,Refinery_Gas,Other_Petroleum_Products,Natural_Gas,Scope_2_Heat,Scope_2_Electricity,Other_Energy,Process,Scope_1_Total\nunit,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2,Mt CO2\n,,,,,,,,,,,,,,,,,,,,,,\nTotalEmissions,2.002198474,0,0,0.178065161,0.002876589,0,0,0,0,14.04925879,15.0628126,4.042693832,0.019326756,1.306508211,2.14647396,0.329403245,39.99077224,0,0,0,0.7500386,79.88042846\n\"Farming, Forestry, Animal Husbandry, Fishery and Water Conservancy\",0.027948058,0,0,0,0,0,0,0,0,0.057656896,0,0.052285548,0,0.00156543,0,0,0.002160729,0,0,0,0,0.141616662", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 0}, "token": 489}, {"content": "[page: 1]\nCoal Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nPetroleum and Natural Gas Extraction,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.002702663,0,0,0,0,0.002702663\nFerrous Metals Mining and Dressing,0,0,0,0,0,0,0,0,0,0.000292675,0,0.000297999,0,0,0.002770696,0,0,0,0,0,0,0.00336137\nNonferrous Metals Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nNonmetal Minerals Mining and Dressing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nOther Minerals Mining and Dressing,0,0,0,0,0,0,0,0,0,0.000878024,0,0.003873987,0,0,0.008312088,0,0,0,0,0,0,0.013064099\nLogging and Transport of Wood and Bamboo,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 1}, "token": 454}, {"content": "[page: 1]\nLogging and Transport of Wood and Bamboo,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nFood Processing,0,0,0,0,0,0,0,0,0,0.005853492,0,0.009833968,0,0.000246802,0.055413919,0,0.007387279,0,0,0,0,0.07873546\nFood Production,0.000216622,0,0,0,1.3073E-06,0,0,0,0,0.006731516,0,0.008641972,0,0.000740405,0.063726007,0,0.012792606,0,0,0,0,0.092850434\nBeverage Production,0,0,0,0,0,0,0,0,0,0.00380477,0,0.00297999,0,0.000246802,0.036019047,0,0.015855624,0,0,0,0,0.058906233\nTobacco Processing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00072071,0,0,0,0,0.00072071", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 2}, "token": 453}, {"content": "[page: 1]\nTobacco Processing,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00072071,0,0,0,0,0.00072071\nTextile Industry,0,0,0,0,0,0,0,0,0,0.000878024,0,0.000297999,0,0,0.008312088,0,0.000180178,0,0,0,0,0.009668288\nGarments and Other Fiber Products,0,0,0,0,0,0,0,0,0,0.005268143,0,0.000595998,0,0,0.049872527,0,0.001981953,0,0,0,0,0.057718621\n\"Leather, Furs, Down and Related Products\",0,0,0,0,0,0,0,0,0,0.000585349,0,0,0,0,0.005541392,0,0,0,0,0,0,0.006126741\n\"Timber Processing, Bamboo, Cane, Palm Fiber & Straw Products\",0,0,0,0,0,0,0,0,0,0.001756048,0,0.000595998,0,0,0.016624176,0,0,0,0,0,0,0.018976221", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 3}, "token": 447}, {"content": "[page: 1]\n\"Timber Processing, Bamboo, Cane, Palm Fiber & Straw Products\",0,0,0,0,0,0,0,0,0,0.001756048,0,0.000595998,0,0,0.016624176,0,0,0,0,0,0,0.018976221\nFurniture Manufacturing,0,0,0,0,0,0,0,0,0,0.005268143,0,0.000595998,0,0.000246802,0.049872527,0,0.00072071,0,0,0,0,0.05670418\nPapermaking and Paper Products,0,0,0,0,0,0,0,0,0,0.004097444,0,0.002085993,0,0,0.038789743,0,0.002522486,0,0,0,0,0.047495666\nPrinting and Record Medium Reproduction,0,0,0,0,0,0,0,0,0,0.009658262,0,0.004171986,0,0.000246802,0.091432966,0,0.003243196,0,0,0,0,0.108753212", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 4}, "token": 413}, {"content": "[page: 1]\nPrinting and Record Medium Reproduction,0,0,0,0,0,0,0,0,0,0.009658262,0,0.004171986,0,0.000246802,0.091432966,0,0.003243196,0,0,0,0,0.108753212\n\"Cultural, Educational and Sports Articles\",0,0,0,0,0,0,0,0,0,0.001463373,0,0.000297999,0,0.000246802,0.01385348,0,0.000360355,0,0,0,0,0.016222008\nPetroleum Processing and Coking,0,0,0,0,0,0,0,0,0,0.000585349,0,0.000595998,0,0.661921932,0.005541392,0,0.03963906,0,0,0,0,0.708283731\nRaw Chemical Materials and Chemical Products,0,0,0,0,0,0,0,0,0,0.009072913,0,0.008045974,0,0.000740405,0.045938748,0,0.003783728,0,0,0,0,0.067581767", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 5}, "token": 439}, {"content": "[page: 1]\nRaw Chemical Materials and Chemical Products,0,0,0,0,0,0,0,0,0,0.009072913,0,0.008045974,0,0.000740405,0.045938748,0,0.003783728,0,0,0,0,0.067581767\nMedical and Pharmaceutical Products,0,0,0,0,0,0,0,0,0,0.009950936,0,0.002383992,0,0.000493603,0.050384433,0,0.025405034,0,0,0,0,0.088617999\nChemical Fiber,0,0,0,0,0,0,0,0,0,0.000292675,0,0,0,0,0.001481895,0,0.00072071,0,0,0,0,0.00249528\nRubber Products,0,0,0,0,0,0,0,0,0,0.002634071,0,0.001638995,0,0.000370202,0.013337056,0,0.000360355,0,0,0,0,0.018340679", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 6}, "token": 410}, {"content": "[page: 1]\nRubber Products,0,0,0,0,0,0,0,0,0,0.002634071,0,0.001638995,0,0.000370202,0.013337056,0,0.000360355,0,0,0,0,0.018340679\nPlastic Products,0,0,0,0,0,0,0,0,0,0.002634071,0,0.001638995,0,0.000370202,0.013337056,0,0.000360355,0,0,0,0,0.018340679\nNonmetal Mineral Products,0.145967336,0,0,0,0.000782029,0,0,0,0,0.01082896,0,0.176415421,0,0.000493603,0.10251575,0,0.024143791,0,0,0,0.7500386,1.21118549\nSmelting and Pressing of Ferrous Metals,0,0,0,0,0,0,0,0,0,0.000585349,0,0,0,0,0.005541392,0,0.015855624,0,0,0,0,0.021982365", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 7}, "token": 441}, {"content": "[page: 1]\nSmelting and Pressing of Ferrous Metals,0,0,0,0,0,0,0,0,0,0.000585349,0,0,0,0,0.005541392,0,0.015855624,0,0,0,0,0.021982365\nSmelting and Pressing of Nonferrous Metals,0,0,0,0,0,0,0,0,0,0.000585349,0,0,0,0,0.005541392,0,0.00072071,0,0,0,0,0.006847451\nMetal Products,0,0,0,0,0,0,0,0,0,0.022535944,0.001517572,0.008343973,0,0.000740405,0.213343588,0,0.004864794,0,0,0,0,0.251346275\nOrdinary Machinery,0,0,0,0,0,0,0,0,0,0.016682452,0,0.002085993,0,0.001974413,0.157929669,0,0.003063018,0,0,0,0,0.181735545", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 8}, "token": 411}, {"content": "[page: 1]\nOrdinary Machinery,0,0,0,0,0,0,0,0,0,0.016682452,0,0.002085993,0,0.001974413,0.157929669,0,0.003063018,0,0,0,0,0.181735545\nEquipment for Special Purposes,0,0,0,0,0,0,0,0,0,0.018731174,0,0.006555978,0,0.000246802,0.17732454,0,0.001981953,0,0,0,0,0.204840448\nTransportation Equipment,0,0,0,0,0,0,0,0,0,0.016097103,0,0.033673889,0,0.000246802,0.152388277,0,0.035314799,0,0,0,0,0.23772087\nElectric Equipment and Machinery,0,0,0,0,0,0,0,0,0,0.014926405,0,0.001787994,0,0.000493603,0.141305493,0,0.001801775,0,0,0,0,0.16031527", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 9}, "token": 428}, {"content": "[page: 1]\nElectric Equipment and Machinery,0,0,0,0,0,0,0,0,0,0.014926405,0,0.001787994,0,0.000493603,0.141305493,0,0.001801775,0,0,0,0,0.16031527\nElectronic and Telecommunications Equipment,0,0,0,0,0,0,0,0,0,0.01082896,0,0.000893997,0,0,0.10251575,0,0.003783728,0,0,0,0,0.118022436\n\"Instruments, Meters, Cultural and Office Machinery\",0,0,0,0,0,0,0,0,0,0.008487563,0,0.000297999,0,0,0.080350182,0,0.000360355,0,0,0,0,0.0894961\nOther Manufacturing Industry,0,0,0,0,0,0,0,0,0,0.001463373,0,0.008641972,0,0,0.01385348,0,0.000180178,0,0,0,0,0.024139002\nScrap and waste,0,0,0,0,0,0,0,0,0,0.000292675,0,0.000297999,0,0,0.002770696,0,0.000180178,0,0,0,0,0.003541547", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 10}, "token": 500}, {"content": "[page: 1]\nScrap and waste,0,0,0,0,0,0,0,0,0,0.000292675,0,0.000297999,0,0,0.002770696,0,0.000180178,0,0,0,0,0.003541547\n\"Production and Supply of Electric Power, Steam and Hot Water\",1.758429472,0,0,0,0.002093253,0,0,0,0,0.011706984,0,0.03647905,0.005069313,0.142590845,0.345723727,0.329403245,28.57671299,0,0,0,0,31.20820888\nProduction and Supply of Gas,0,0,0,0,0,0,0,0,0,0.004097444,0,0.000595998,0,0,0.038789743,0,0.078737587,0,0,0,0,0.122220773\nProduction and Supply of Tap Water,0,0,0,0,0,0,0,0,0,0.00380477,0,0.002681991,0,0.000740405,0.036019047,0,0.000900888,0,0,0,0,0.044147101", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 11}, "token": 461}, {"content": "[page: 1]\nProduction and Supply of Tap Water,0,0,0,0,0,0,0,0,0,0.00380477,0,0.002681991,0,0.000740405,0.036019047,0,0.000900888,0,0,0,0,0.044147101\nConstruction,0,0,0,0,0,0,0,0,0,0.216871878,0,0.452316399,0,0.013462701,0,0,0.051857496,0,0,0,0,0.734508474\n\"Transportation, Storage, Post and Telecommunication Services\",0.000585185,0,0,0,0,0,0,0,0,0.90173044,15.04278065,2.411941617,0.014257443,0.052285375,0,0,0.553146623,0,0,0,0,18.97672734\n\"Wholesale, Retail Trade and Catering Services\",0,0,0,0,0,0,0,0,0,0.510424501,0,0.122205867,0,0.060112527,0,0,1.173275844,0,0,0,0,1.86601874", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 12}, "token": 441}, {"content": "[page: 1]\n\"Wholesale, Retail Trade and Catering Services\",0,0,0,0,0,0,0,0,0,0.510424501,0,0.122205867,0,0.060112527,0,0,1.173275844,0,0,0,0,1.86601874\nOthers,0,0,0,0,0,0,0,0,0,1.050994486,0.018514378,0.676618306,0,0.03757033,0,0,5.54875206,0,0,0,0,7.33244956\nUrban,0.069051801,0,0,0,0,0,0,0,0,11.0982208,0,0,0,0.186599304,0,0,3.375058691,0,0,0,0,14.7289306\nRural,0,0,0,0.178065161,0,0,0,0,0,0,0,0,0,0.141514908,0,0,0.419181425,0,0,0,0,0.738761494", "metadata": {"source": "/home/zhangxj/WorkFile/LCA-GPT/DataAnalysis/tmp/2021北京.csv", "title": "2021北京.csv", "chunk_id": 13}, "token": 384}], "title": "2021北京.csv"} |