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主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

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引用本文:李冬雪,李聪,何兆益,凌建明.公路自然区划Ⅱ1区路基湿度指数优化算法[J].哈尔滨工业大学学报,2021,53(9):116.DOI:10.11918/202003089
LI Dongxue,LI Cong,HE Zhaoyi,LING Jianming.Optimal calculation method of subgrade moisture index based on FAO-PM method in highway climatic zone Ⅱ1[J].Journal of Harbin Institute of Technology,2021,53(9):116.DOI:10.11918/202003089
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公路自然区划Ⅱ1区路基湿度指数优化算法
李冬雪1,李聪2,何兆益1,凌建明3
(1. 重庆交通大学 交通运输学院, 重庆 400074;2. 招商局重庆交通科研设计院有限公司, 重庆 400067; 3. 同济大学 交通运输工程学院, 上海 201804)
摘要:
为了提高公路自然区划Ⅱ1区路基湿度指数计算精度,建立一种路基湿度指数优化计算方法,其采用FAO-PM法取代Thornthwaite法来估算路基土月均潜在蒸发蒸腾量(potential evapotranspiration, PE),以解决后者对路基土在负温条件下蒸发蒸腾量计算值为零的问题。在分析了各气象参数对路基土月均潜在蒸发蒸腾量的影响规律的基础上,验证了新方法的适用性并简化了路基湿度平衡计算的流程。针对路基湿度的季节性变化特征,提出了阶段湿度指数计算方法,并细化了Ⅱ1区三级划分区域的路基湿度指数取值范围。结果表明:在负温条件下,路基的月均潜在蒸发蒸腾量在与平均日照时数、平均气温和平均风速正相关的同时,与平均相对湿度负相关,并且总潜在蒸发蒸腾量占全年总量的9.8%~15.7%;路基湿度平衡后的状态可简化为有径流、无径流不干旱和无径流干旱3种,并可采用4阶段湿度指数对其最不利季节进行判别;对于所研究的7个气象站,不同土组的湿度指数计算最小值为-16.5,最大值为33.2,这与现行规范推荐值(-8.1~35.1)相比,不仅数值整体偏小、路基湿度状态更偏干旱,而且自西南向东北逐渐降低。采用该方法可有效计算Ⅱ1区负温下土壤蒸发蒸腾量,并进而确保对路基湿度指数估算的精度。
关键词:  道路工程  湿度指数  FAO-PM法  路基  公路自然区划Ⅱ1  湿度平衡
DOI:10.11918/202003089
分类号:U416.1+68
文献标识码:A
基金项目:国家自然科学基金(51908095)
Optimal calculation method of subgrade moisture index based on FAO-PM method in highway climatic zone Ⅱ1
LI Dongxue1,LI Cong2,HE Zhaoyi1,LING Jianming3
(1. College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China; 3. College of Transportation Engineering, Tongji University, Shanghai 201804, China)
Abstract:
In order to improve the calculation accuracy of moisture index of subgrade in highway climatic zone Ⅱ1, an optimal calculation method of subgrade moisture index was established by employing the Food and Agriculture Organization Penman-Monteith (FAO-PM) method instead of the Thornthwaite method to estimate the average monthly potential evapotranspiration (PE) of soil subgrade, which considers the evapotranspiration of soil subgrade as zero under negative temperature conditions. After analyzing the influence of meteorological parameters on the monthly PE of soil subgrade, the applicability of the proposed method was verified and the calculation process of subgrade moisture balance was simplified. Based on the seasonal change characteristics of subgrade moisture, a staged moisture index calculation method was proposed to refine the range of subgrade moisture index in climate zone Ⅱ1. Results show that when the temperature was below zero, the average monthly PE of the subgrade was positively correlated with average sunshine hours, average temperature, and average wind speed, but negatively correlated with average relative humidity. Moreover, the total PE accounted for 9.8%-15.7% of the total evapotranspiration throughout the year. The subgrade moisture equilibrium states were classified into three types: runoff, no runoff with or without drought, for which the most unfavorable seasons could be distinguished by the four-stage statistical analysis of the moisture index. For the seven meteorological stations studied, the minimum and maximum moisture indexes of different soil groups were calculated as -16.5 and 33.2 respectively, which are less than the current standard recommendation (-8.1-35.1), indicating that the subgrade moisture in these regions are more arid than expected and gradually decreases from southwest to northeast. The method can not only be used to effectively calculate the evapotranspiration of soil under negative temperature, but also ensure the accuracy of subgrade moisture index estimation in climatic zone Ⅱ1.
Key words:  highway engineering  moisture index  FAO-PM method  subgrade  highway climatic zone Ⅱ1  moisture balance

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