File size: 16,285 Bytes
759768a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
/**

 * Air Quality Analysis System

 * Real-time air quality monitoring and assessment

 */

export class AirQualityAnalyzer {
  constructor() {
    this.aqiBreakpoints = {
      pm25: [
        { low: 0, high: 12, aqi_low: 0, aqi_high: 50, category: 'Good', color: '#00e400' },
        { low: 12.1, high: 35.4, aqi_low: 51, aqi_high: 100, category: 'Moderate', color: '#ffff00' },
        { low: 35.5, high: 55.4, aqi_low: 101, aqi_high: 150, category: 'Unhealthy for Sensitive Groups', color: '#ff7e00' },
        { low: 55.5, high: 150.4, aqi_low: 151, aqi_high: 200, category: 'Unhealthy', color: '#ff0000' },
        { low: 150.5, high: 250.4, aqi_low: 201, aqi_high: 300, category: 'Very Unhealthy', color: '#8f3f97' },
        { low: 250.5, high: 500, aqi_low: 301, aqi_high: 500, category: 'Hazardous', color: '#7e0023' }
      ],
      pm10: [
        { low: 0, high: 54, aqi_low: 0, aqi_high: 50, category: 'Good', color: '#00e400' },
        { low: 55, high: 154, aqi_low: 51, aqi_high: 100, category: 'Moderate', color: '#ffff00' },
        { low: 155, high: 254, aqi_low: 101, aqi_high: 150, category: 'Unhealthy for Sensitive Groups', color: '#ff7e00' },
        { low: 255, high: 354, aqi_low: 151, aqi_high: 200, category: 'Unhealthy', color: '#ff0000' },
        { low: 355, high: 424, aqi_low: 201, aqi_high: 300, category: 'Very Unhealthy', color: '#8f3f97' },
        { low: 425, high: 604, aqi_low: 301, aqi_high: 500, category: 'Hazardous', color: '#7e0023' }
      ],
      o3: [
        { low: 0, high: 54, aqi_low: 0, aqi_high: 50, category: 'Good', color: '#00e400' },
        { low: 55, high: 70, aqi_low: 51, aqi_high: 100, category: 'Moderate', color: '#ffff00' },
        { low: 71, high: 85, aqi_low: 101, aqi_high: 150, category: 'Unhealthy for Sensitive Groups', color: '#ff7e00' },
        { low: 86, high: 105, aqi_low: 151, aqi_high: 200, category: 'Unhealthy', color: '#ff0000' },
        { low: 106, high: 200, aqi_low: 201, aqi_high: 300, category: 'Very Unhealthy', color: '#8f3f97' }
      ]
    };

    this.healthRecommendations = {
      'Good': {
        general: 'Air quality is satisfactory. Enjoy outdoor activities!',
        sensitive: 'No health concerns for sensitive individuals.',
        activities: ['Outdoor exercise', 'Windows open', 'Outdoor events']
      },
      'Moderate': {
        general: 'Air quality is acceptable for most people.',
        sensitive: 'Sensitive individuals may experience minor symptoms.',
        activities: ['Normal outdoor activities', 'Monitor sensitive individuals']
      },
      'Unhealthy for Sensitive Groups': {
        general: 'Most people can continue normal activities.',
        sensitive: 'Sensitive groups should limit prolonged outdoor exertion.',
        activities: ['Reduce outdoor exercise', 'Close windows', 'Use air purifiers']
      },
      'Unhealthy': {
        general: 'Everyone may experience health effects.',
        sensitive: 'Sensitive groups should avoid outdoor activities.',
        activities: ['Limit outdoor activities', 'Wear masks outdoors', 'Stay indoors']
      },
      'Very Unhealthy': {
        general: 'Health alert: everyone may experience serious health effects.',
        sensitive: 'Sensitive groups should remain indoors.',
        activities: ['Avoid outdoor activities', 'Keep windows closed', 'Use air purifiers']
      },
      'Hazardous': {
        general: 'Emergency conditions: everyone should avoid outdoor activities.',
        sensitive: 'Everyone should remain indoors.',
        activities: ['Stay indoors', 'Seal windows/doors', 'Use high-quality air purifiers']
      }
    };
  }

  /**

   * Analyze air quality from sensor data or API

   */
  async analyzeAirQuality(data, location = null) {
    try {
      console.log('🌬️ Starting air quality analysis...');

      let airQualityData;
      
      if (typeof data === 'object' && data.pm25 !== undefined) {
        // Direct sensor data
        airQualityData = data;
      } else if (location) {
        // Fetch from API or simulate based on location
        airQualityData = await this.fetchAirQualityData(location);
      } else {
        // Generate realistic mock data
        airQualityData = this.generateMockAirQualityData();
      }

      // Calculate AQI for each pollutant
      const aqiResults = {};
      const pollutants = ['pm25', 'pm10', 'o3', 'no2', 'so2', 'co'];
      
      pollutants.forEach(pollutant => {
        if (airQualityData[pollutant] !== undefined) {
          aqiResults[pollutant] = this.calculateAQI(pollutant, airQualityData[pollutant]);
        }
      });

      // Determine overall AQI (highest individual AQI)
      const overallAQI = Math.max(...Object.values(aqiResults).map(r => r.aqi));
      const dominantPollutant = Object.keys(aqiResults).find(p => aqiResults[p].aqi === overallAQI);
      const category = aqiResults[dominantPollutant]?.category || 'Unknown';

      // Generate health recommendations
      const recommendations = this.generateHealthRecommendations(category, aqiResults);

      // Calculate air quality trends (mock for now)
      const trends = this.calculateAirQualityTrends(airQualityData);

      // Generate detailed analysis
      const analysis = {
        timestamp: new Date().toISOString(),
        location: location,
        overallAQI: overallAQI,
        category: category,
        dominantPollutant: dominantPollutant,
        color: aqiResults[dominantPollutant]?.color || '#666666',
        pollutants: airQualityData,
        aqiBreakdown: aqiResults,
        healthRecommendations: recommendations,
        trends: trends,
        confidence: this.calculateConfidence(airQualityData),
        dataSource: airQualityData.source || 'Simulated',
        lastUpdated: airQualityData.timestamp || new Date().toISOString()
      };

      console.log('✅ Air quality analysis completed');
      return analysis;

    } catch (error) {
      console.error('Air quality analysis failed:', error);
      throw new Error(`Air quality analysis failed: ${error.message}`);
    }
  }

  /**

   * Calculate AQI for a specific pollutant

   */
  calculateAQI(pollutant, concentration) {
    const breakpoints = this.aqiBreakpoints[pollutant];
    if (!breakpoints) {
      return { aqi: 0, category: 'Unknown', color: '#666666' };
    }

    // Find the appropriate breakpoint
    let breakpoint = breakpoints.find(bp => concentration >= bp.low && concentration <= bp.high);
    
    if (!breakpoint) {
      // Handle values outside normal ranges
      if (concentration < breakpoints[0].low) {
        breakpoint = breakpoints[0];
      } else {
        breakpoint = breakpoints[breakpoints.length - 1];
      }
    }

    // Calculate AQI using linear interpolation
    const aqi = Math.round(
      ((breakpoint.aqi_high - breakpoint.aqi_low) / (breakpoint.high - breakpoint.low)) *
      (concentration - breakpoint.low) + breakpoint.aqi_low
    );

    return {
      aqi: Math.max(0, Math.min(500, aqi)),
      category: breakpoint.category,
      color: breakpoint.color,
      concentration: concentration,
      unit: this.getPollutantUnit(pollutant)
    };
  }

  /**

   * Get pollutant unit

   */
  getPollutantUnit(pollutant) {
    const units = {
      pm25: 'μg/m³',
      pm10: 'μg/m³',
      o3: 'ppb',
      no2: 'ppb',
      so2: 'ppb',
      co: 'ppm'
    };
    return units[pollutant] || '';
  }

  /**

   * Generate health recommendations

   */
  generateHealthRecommendations(category, aqiResults) {
    const baseRecommendations = this.healthRecommendations[category] || this.healthRecommendations['Good'];
    
    const recommendations = {
      ...baseRecommendations,
      specific: []
    };

    // Add specific recommendations based on pollutants
    Object.keys(aqiResults).forEach(pollutant => {
      const result = aqiResults[pollutant];
      if (result.aqi > 100) {
        switch (pollutant) {
          case 'pm25':
          case 'pm10':
            recommendations.specific.push('High particulate matter - consider wearing N95 masks outdoors');
            break;
          case 'o3':
            recommendations.specific.push('High ozone levels - avoid outdoor exercise during peak hours');
            break;
          case 'no2':
            recommendations.specific.push('High nitrogen dioxide - avoid busy roads and traffic areas');
            break;
        }
      }
    });

    return recommendations;
  }

  /**

   * Calculate air quality trends

   */
  calculateAirQualityTrends(currentData) {
    // Mock trend data - in real implementation, this would use historical data
    const trends = {
      hourly: this.generateHourlyTrend(),
      daily: this.generateDailyTrend(),
      weekly: this.generateWeeklyTrend(),
      forecast: this.generateForecast()
    };

    return trends;
  }

  generateHourlyTrend() {
    const hours = [];
    const now = new Date();
    
    for (let i = 23; i >= 0; i--) {
      const hour = new Date(now.getTime() - i * 60 * 60 * 1000);
      hours.push({
        time: hour.toISOString(),
        aqi: Math.floor(Math.random() * 100) + 20,
        category: this.getAQICategory(Math.floor(Math.random() * 100) + 20)
      });
    }
    
    return hours;
  }

  generateDailyTrend() {
    const days = [];
    const now = new Date();
    
    for (let i = 6; i >= 0; i--) {
      const day = new Date(now.getTime() - i * 24 * 60 * 60 * 1000);
      days.push({
        date: day.toISOString().split('T')[0],
        avgAQI: Math.floor(Math.random() * 80) + 30,
        maxAQI: Math.floor(Math.random() * 120) + 50,
        category: this.getAQICategory(Math.floor(Math.random() * 80) + 30)
      });
    }
    
    return days;
  }

  generateWeeklyTrend() {
    const weeks = [];
    const now = new Date();
    
    for (let i = 3; i >= 0; i--) {
      const week = new Date(now.getTime() - i * 7 * 24 * 60 * 60 * 1000);
      weeks.push({
        week: `Week of ${week.toISOString().split('T')[0]}`,
        avgAQI: Math.floor(Math.random() * 70) + 35,
        trend: Math.random() > 0.5 ? 'improving' : 'worsening'
      });
    }
    
    return weeks;
  }

  generateForecast() {
    const forecast = [];
    const now = new Date();
    
    for (let i = 1; i <= 3; i++) {
      const day = new Date(now.getTime() + i * 24 * 60 * 60 * 1000);
      forecast.push({
        date: day.toISOString().split('T')[0],
        predictedAQI: Math.floor(Math.random() * 90) + 25,
        category: this.getAQICategory(Math.floor(Math.random() * 90) + 25),
        confidence: Math.floor(Math.random() * 30) + 70
      });
    }
    
    return forecast;
  }

  /**

   * Get AQI category from numeric value

   */
  getAQICategory(aqi) {
    if (aqi <= 50) return 'Good';
    if (aqi <= 100) return 'Moderate';
    if (aqi <= 150) return 'Unhealthy for Sensitive Groups';
    if (aqi <= 200) return 'Unhealthy';
    if (aqi <= 300) return 'Very Unhealthy';
    return 'Hazardous';
  }

  /**

   * Fetch air quality data from API or simulate

   */
  async fetchAirQualityData(location) {
    // In a real implementation, this would call an actual API
    // For now, generate realistic mock data based on location
    
    console.log('🌐 Fetching air quality data for:', location);
    
    // Simulate API delay
    await new Promise(resolve => setTimeout(resolve, 500));
    
    return this.generateMockAirQualityData(location);
  }

  /**

   * Generate realistic mock air quality data

   */
  generateMockAirQualityData(location = null) {
    // Base values that vary by location type
    let baseValues = {
      pm25: 25,
      pm10: 45,
      o3: 60,
      no2: 30,
      so2: 15,
      co: 1.2
    };

    // Adjust based on location characteristics
    if (location) {
      const locationLower = location.toLowerCase();
      
      if (locationLower.includes('urban') || locationLower.includes('city')) {
        baseValues.pm25 += 15;
        baseValues.pm10 += 20;
        baseValues.no2 += 20;
        baseValues.co += 0.8;
      } else if (locationLower.includes('rural') || locationLower.includes('forest')) {
        baseValues.pm25 -= 10;
        baseValues.pm10 -= 15;
        baseValues.no2 -= 15;
        baseValues.co -= 0.5;
        baseValues.o3 += 10; // Higher ozone in rural areas sometimes
      } else if (locationLower.includes('industrial')) {
        baseValues.pm25 += 25;
        baseValues.pm10 += 30;
        baseValues.so2 += 20;
        baseValues.no2 += 25;
      }
    }

    // Add realistic variation
    const variation = 0.3; // 30% variation
    Object.keys(baseValues).forEach(pollutant => {
      const variance = baseValues[pollutant] * variation * (Math.random() - 0.5);
      baseValues[pollutant] = Math.max(0, baseValues[pollutant] + variance);
    });

    // Add time-of-day effects
    const hour = new Date().getHours();
    if (hour >= 7 && hour <= 9) { // Morning rush hour
      baseValues.no2 *= 1.3;
      baseValues.co *= 1.2;
    } else if (hour >= 17 && hour <= 19) { // Evening rush hour
      baseValues.no2 *= 1.4;
      baseValues.co *= 1.3;
    } else if (hour >= 12 && hour <= 16) { // Afternoon ozone peak
      baseValues.o3 *= 1.2;
    }

    return {
      pm25: Math.round(baseValues.pm25 * 10) / 10,
      pm10: Math.round(baseValues.pm10),
      o3: Math.round(baseValues.o3),
      no2: Math.round(baseValues.no2),
      so2: Math.round(baseValues.so2),
      co: Math.round(baseValues.co * 10) / 10,
      timestamp: new Date().toISOString(),
      source: 'Simulated Data',
      location: location
    };
  }

  /**

   * Calculate confidence in air quality data

   */
  calculateConfidence(data) {
    let confidence = 85; // Base confidence
    
    // Reduce confidence if data seems unrealistic
    if (data.pm25 > 200 || data.pm10 > 400) confidence -= 15;
    if (data.o3 > 150) confidence -= 10;
    
    // Increase confidence for consistent data
    const pollutantCount = Object.keys(data).filter(key => 
      typeof data[key] === 'number' && key !== 'timestamp'
    ).length;
    
    if (pollutantCount >= 5) confidence += 10;
    
    return Math.max(60, Math.min(98, confidence));
  }

  /**

   * Generate air quality alerts

   */
  generateAlerts(analysis) {
    const alerts = [];
    
    if (analysis.overallAQI > 150) {
      alerts.push({
        level: 'high',
        message: `Air quality is ${analysis.category}. Limit outdoor activities.`,
        pollutant: analysis.dominantPollutant,
        aqi: analysis.overallAQI
      });
    } else if (analysis.overallAQI > 100) {
      alerts.push({
        level: 'medium',
        message: `Air quality is ${analysis.category}. Sensitive individuals should be cautious.`,
        pollutant: analysis.dominantPollutant,
        aqi: analysis.overallAQI
      });
    }

    // Check for specific pollutant alerts
    Object.keys(analysis.aqiBreakdown).forEach(pollutant => {
      const result = analysis.aqiBreakdown[pollutant];
      if (result.aqi > 200) {
        alerts.push({
          level: 'high',
          message: `Very high ${pollutant.toUpperCase()} levels detected (${result.concentration} ${result.unit})`,
          pollutant: pollutant,
          aqi: result.aqi
        });
      }
    });

    return alerts;
  }
}

// Create singleton instance
export const airQualityAnalyzer = new AirQualityAnalyzer();

// Export main analysis function
export const analyzeAirQuality = async (data, location) => {
  try {
    const analysis = await airQualityAnalyzer.analyzeAirQuality(data, location);
    const alerts = airQualityAnalyzer.generateAlerts(analysis);
    
    return {
      ...analysis,
      alerts: alerts
    };
  } catch (error) {
    console.error('Air quality analysis error:', error);
    throw error;
  }
};

export default airQualityAnalyzer;