本文選題：農(nóng)村地區(qū) + 高等級(jí)公路�。� 參考：《西南交通大學(xué)》2015年碩士論文

【摘要】：目前,農(nóng)村地區(qū)高等級(jí)公路發(fā)展迅速,而公路交通運(yùn)輸對(duì)沿線區(qū)域的聲環(huán)境影響也不可忽視。論文在此背景下,以眉山工業(yè)大道一級(jí)公路為例,采用《聲環(huán)境影響評(píng)價(jià)技術(shù)導(dǎo)則聲環(huán)境》(HJ2.4-2009)中推薦的公路交通噪聲預(yù)測(cè)模式對(duì)其聲環(huán)境影響進(jìn)行了預(yù)測(cè)評(píng)價(jià),并對(duì)影響預(yù)測(cè)結(jié)果的相關(guān)參數(shù)進(jìn)行了分析。最后,在噪聲預(yù)測(cè)的基礎(chǔ)上,針對(duì)不同程度的噪聲超標(biāo)敏感點(diǎn)提出了降噪措施。眉山工業(yè)大道一級(jí)公路運(yùn)營中期沿線受噪聲影響的敏感點(diǎn)數(shù)量較多,占到敏感點(diǎn)總數(shù)的72%,但噪聲超標(biāo)量都比較小,采用綠化降噪技術(shù)即可實(shí)現(xiàn)大部分受影響敏感點(diǎn)的降噪要求。預(yù)測(cè)表明,對(duì)農(nóng)村地區(qū)新建公路,縱坡修正、地面效應(yīng)衰減及高路堤(低路塹)衰減是影響營運(yùn)期噪聲預(yù)測(cè)結(jié)果的主要因素,而大氣吸收衰減對(duì)預(yù)測(cè)結(jié)果影響較小。同時(shí),南方農(nóng)村地區(qū)房屋低矮且布置散亂,在公路噪聲預(yù)測(cè)時(shí)基本不具備反射修正和房屋附加衰減的條件,而農(nóng)村地區(qū)道路以鄉(xiāng)道及等外級(jí)道路為主,滿足交叉路口修正條件的敏感點(diǎn)也很少。農(nóng)村高等級(jí)公路噪聲預(yù)測(cè)要緊密結(jié)合農(nóng)村地區(qū)的環(huán)境特征來選取合理的噪聲預(yù)測(cè)參數(shù),否則將使預(yù)測(cè)結(jié)果與實(shí)際監(jiān)測(cè)值出現(xiàn)較大偏差,在聲環(huán)境影響評(píng)價(jià)工作中,由于相關(guān)技術(shù)人員對(duì)農(nóng)村環(huán)境特點(diǎn)認(rèn)識(shí)模糊,往往對(duì)農(nóng)村地區(qū)樹木、果林等引起的噪聲的衰減和房屋附加衰減量估計(jì)偏大,或者對(duì)公路與敏感點(diǎn)的相對(duì)高差估值偏差較大,導(dǎo)致預(yù)測(cè)結(jié)果與實(shí)際監(jiān)測(cè)值誤差偏大,不能為降噪措施的合理選擇提供正確的依據(jù)。
[Abstract]:At present, high-grade highways in rural areas are developing rapidly, and the impact of highway transportation on the sound environment along the road can not be ignored. Under this background, taking the first class highway of Meishan Industrial Avenue as an example, the sound environment effect is forecasted and evaluated by the road traffic noise prediction model recommended in "Sound Environmental impact Assessment Technical Guide" (HJ2.4-2009). The related parameters affecting the prediction results are analyzed. Finally, on the basis of noise prediction, the noise reduction measures are proposed for different noise sensitive points. The number of sensitive points affected by noise along the first class highway of Meishan Industrial Avenue in the middle period of operation is more, accounting for 722% of the total number of sensitive points, but the noise superscalar is relatively small. The noise reduction requirements of most of the affected sensitive points can be realized by using greening noise reduction technology. The prediction shows that the correction of longitudinal slope, the attenuation of ground effect and the attenuation of high embankment (low cut) are the main factors affecting the prediction results of noise in operation period, while the attenuation of atmospheric absorption has little effect on the prediction results. At the same time, the houses in rural areas of southern China are low and scattered, and the road noise prediction does not have the condition of reflection correction and the additional attenuation of houses, while the rural roads are mainly rural roads and grade roads. There are few sensitive points which satisfy the correction condition of intersection. The noise prediction of rural high-grade highway should be closely combined with the environmental characteristics of rural areas to select reasonable noise prediction parameters, otherwise, the prediction results will deviate greatly from the actual monitoring values, and in the work of acoustic environmental impact assessment, Because the relevant technicians have a vague understanding of the characteristics of the rural environment, they often estimate the attenuation of noise caused by trees and fruit forests in rural areas and the amount of additional attenuation of houses on a large scale, or have a large deviation in the estimation of the relative height difference between roads and sensitive points. As a result, the error between the prediction result and the actual monitoring value is too large, which can not provide the correct basis for the reasonable choice of the noise reduction measures.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X827;X734

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 丁真真;趙劍強(qiáng);陳瑩;胡博;;公路交通噪聲源強(qiáng)預(yù)測(cè)模型研究進(jìn)展[J];安全與環(huán)境學(xué)報(bào);2014年04期

2 汪，

本文編號(hào)：1928894