Effects of Environmental Factors on Ozone Flux over a Wheat Field Modeled with an Artificial Neural Network

<div>Comparison of diurnal variations of ozone flux measured on May 12 with the EC method (<span class="nowrap"><svg height="13.9769pt" id="M15" style="vertical-align:-5.341001pt" version="1.1" viewbox="-0.0498162 -8.6359 17.9535 13.9769" width="17.9535pt" 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="M584 650H137L131 622C214 614 217 612 200 521L125 127C109 41 101 35 23 28L17 0H288L294 28C201 35 193 42 209 128L242 309H348C440 309 442 300 443 226H471L510 422H482C452 354 449 348 357 348H251L295 575C302 609 304 615 338 615H426C502 615 517 604 526 581C534 560 536 524 537 492L565 494C574 554 583 631 584 650Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,6.786,3.132)"><path d="M381 665C170 665 44 498 44 318C44 125 188 -15 369 -15C552 -15 703 117 703 333C703 534 550 665 381 665ZM359 629C491 629 601 517 601 306C601 114 502 21 390 21C249 21 146 158 146 346S248 629 359 629Z"></path></g><g transform="matrix(.0065,0,0,-0.0065,13.609,5.233)"><path d="M436 222C436 297 385 359 295 376V378C320 391 343 407 363 428S394 474 394 501C394 578 333 635 239 635C186 635 138 610 110 577L63 514L91 490C114 525 158 571 211 571C266 571 306 541 306 483C306 411 234 371 141 343L151 306C167 311 192 317 219 317C276 317 344 282 344 194C346 102 296 46 227 46C166 46 125 76 99 97C91 104 81 103 71 97C62 90 47 75 46 62C44 50 48 39 62 26C77 10 120 -12 168 -12C242 -12 436 62 436 222Z"></path></g></svg>)</span> and 10-run ANN modeled with T15. Tra_mean is the mean of 10 runs in the ANN model of <i>F</i><sub>o</sub>.</div>

Advances in Meteorology

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Figure 3

Figure 3: Effects of Environmental Factors on Ozone Flux over a Wheat Field Modeled with an Artificial Neural Network 