Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm

<div class="floats-full-page floats-full-page-other"><h2>Table 1</h2><div class="floats-full-page-caption"><div>Calculated threshold values of different EEW parameter for issuing warning for an event having M ≥ 6 at different time windows [<a href="../../9086205/#B28" target="_blank">6</a>].</div></div><div class="floats-full-page-content"><table class="fixed-width table-group" id="tab1"><tr><td><table class="table"><colgroup><col style="width:8.13em" /><col style="width:3.13em" /><col style="width:3.26em" /><col style="width:3.33em" /><col style="width:3.43em" /><col style="width:3.34em" /></colgroup><tr><td class="thead-hr" colspan="6"><hr /></td></tr><tr class="thead"><td class="align_left" rowspan="2"><b>Parameters</b></td><td class="align_center" colspan="5"><b>Time Window</b></td></tr><tr class="thead"><td class="align_center"><b>1 sec</b></td><td class="align_center"><b>2 sec</b></td><td class="align_center"><b>3 sec</b></td><td class="align_center"><b>4 sec</b></td><td class="align_center"><b>5 sec</b></td></tr><tr><td class="thead-hr" colspan="6"><hr /></td></tr><tr><td class="align_left"><span style="width: 25.5743ptpx;"><svg height="16.0556pt" id="M2" style="vertical-align:-6.026099pt" version="1.1" viewbox="-0.0498162 -10.0295 25.5743 16.0556" width="25.5743pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M515 461L483 468C463 439 452 438 425 438C350 438 285 442 225 442C87 442 40 359 21 322L50 298C93 355 138 365 217 360C197 286 173 196 152 92C149 77 147 63 147 52C147 5 171 -12 199 -12C273 -12 353 56 385 103L367 134C341 107 305 83 289 83C279 83 274 97 283 147C292 198 312 290 329 353C358 352 385 350 408 350C433 350 458 351 471 356C479 369 499 415 515 461Z" id="g5-241"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.864,-5.741)"><path d="M816 97L798 134C780 118 744 92 734 92C731 92 726 98 731 120C731 120 771 304 772 304C803 443 760 457 729 457C709 457 690 450 661 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401 310 401C328 401 355 395 371 386Z" id="g14-98"></path></g><g transform="matrix(.0091,0,0,-0.0091,19.624,-5.741)"><path d="M564 400C564 428 550 457 511 457C455 457 416 420 338 315L320 359C293 425 277 457 246 457C201 457 143 411 82 327L109 294C145 339 165 354 174 354C185 354 195 350 223 271L245 208C190 131 144 86 122 86C113 86 104 90 97 95C89 101 82 106 73 106C48 106 22 85 22 50C22 13 48 -12 81 -12C140 -12 182 37 262 159L284 94C310 16 330 -12 374 -12C416 -12 479 29 541 120L516 154C472 102 450 87 439 87C425 87 412 110 402 138L356 270C380 300 401 326 419 342C439 359 453 364 464 364C477 364 484 359 490 354S503 345 511 345C535 345 564 367 564 400Z" id="g14-121"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.864,3.784)"><path d="M607 293C607 404 553 457 443 457C407 457 387 456 348 448L366 523L354 532C314 517 252 484 228 458L217 419C184 408 144 391 110 369L122 333C146 345 173 356 204 366L106 -115C94 -173 75 -187 17 -196L9 -237L300 -224L308 -184L291 -183C235 -180 221 -171 232 -117L255 -3C278 -10 292 -12 315 -12C385 4 443 33 516 102C579 162 607 239 607 293ZM467 292C467 184 389 41 325 41C312 41 283 58 272 72L335 392C347 395 361 398 381 398C425 398 467 380 467 292Z" id="g14-113"></path></g></svg><b> (sec)</b></span></td><td class="align_center">0.95</td><td class="align_center">1.00</td><td class="align_center">1.06</td><td class="align_center">1.10</td><td class="align_center">1.14</td></tr><tr><td class="align_left" colspan="6"><hr /></td></tr><tr><td class="align_left"><span style="width: 11.5443ptpx;"><svg height="9.35641pt" id="M3" style="vertical-align:-3.29111pt" version="1.1" viewbox="-0.0498162 -6.0653 11.5443 9.35641" width="11.5443pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M515 461L483 468C463 439 452 438 425 438C350 438 285 442 225 442C87 442 40 359 21 322L50 298C93 355 138 365 217 360C197 286 173 196 152 92C149 77 147 63 147 52C147 5 171 -12 199 -12C273 -12 353 56 385 103L367 134C341 107 305 83 289 83C279 83 274 97 283 147C292 198 312 290 329 353C358 352 385 350 408 350C433 350 458 351 471 356C479 369 499 415 515 461Z" id="g5-241"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.864,3.132)"><path d="M425 395C425 436 373 457 323 457C255 457 183 422 140 386C62 321 22 236 22 147C22 51 67 -12 165 -12C232 -12 320 30 393 106L370 142C347 119 282 74 238 74C190 74 164 107 164 186C164 255 179 301 203 355C216 384 236 400 256 400C290 400 320 375 350 329C356 320 367 317 375 322C412 343 425 373 425 395Z" id="g14-100"></path></g></svg><b> (sec)</b></span></td><td class="align_center">1.02</td><td class="align_center">1.17</td><td class="align_center">1.20</td><td class="align_center">1.42</td><td class="align_center">1.55</td></tr><tr><td class="align_left" colspan="6"><hr /></td></tr><tr><td class="align_left"><b><i>P</i></b><sub><b><i>d</i></b></sub><b>(cm)</b></td><td class="align_center">0.13</td><td class="align_center">0.27</td><td class="align_center">0.51</td><td class="align_center">0.95</td><td class="align_center">1.38</td></tr><tr><td class="align_left" colspan="6"><hr /></td></tr><tr><td class="align_left"><b>CAV (cm/sec)</b></td><td class="align_center">3.00</td><td class="align_center">8.00</td><td class="align_center">10.00</td><td class="align_center">23.00</td><td class="align_center">41.00</td></tr><tr><td class="align_left" colspan="6"><hr /></td></tr><tr><td class="align_left"><b>RSSCV (cm/sec)</b></td><td class="align_center">0.30</td><td class="align_center">1.00</td><td class="align_center">1.70</td><td class="align_center">5.20</td><td class="align_center">10.00</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 1 | Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm

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Table 1: Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm

description

Table 1

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