农业工程学报
農業工程學報
농업공정학보
2013年
21期
108-114
,共7页
王仁德%常春平%彭帅%王乐
王仁德%常春平%彭帥%王樂
왕인덕%상춘평%팽수%왕악
风%侵蚀%粉尘%释放%农田%粒度对比法%河北坝上
風%侵蝕%粉塵%釋放%農田%粒度對比法%河北壩上
풍%침식%분진%석방%농전%립도대비법%하북패상
wind%erosion%dust%emission%farmland%grain composition contrast%Bashang of Hebei province
为了计算当前年内的农田风蚀量,该研究利用农田耕作层土壤粒度组成较均一,风蚀使表层可蚀性颗粒减少,不可蚀颗粒含量相对增加这一特点,通过比较一个风蚀季结束后,农田耕作层表层与下层可蚀性颗粒与不可蚀颗粒相对含量的变化,提出了一种估算当前年内土壤风蚀量和粉尘释放量的方法,并给出了风蚀量与粉尘释放量的计算公式。利用此方法对河北坝上地区主要农田类型土壤风蚀量和粉尘释放量进行计算。计算结果表明,2013年研究区农田风蚀量为960~5700 g/(m2·a),平均为2852.14 g/(m2·a),平均风蚀深度为0.21 cm/a,从强度上划分属于重度风蚀。农田平均粉尘释放量为768.16 g/(m2·a),约占农田平均风蚀量的29.00%。粉尘释放量与风蚀量之间有显著的线性相关关系,翻耕耙平地的风蚀量和粉尘释放量显著大于留茬地。该方法的估算结果与前人采用其他方法得到的结果以及实地观测得到的结果基本吻合。
為瞭計算噹前年內的農田風蝕量,該研究利用農田耕作層土壤粒度組成較均一,風蝕使錶層可蝕性顆粒減少,不可蝕顆粒含量相對增加這一特點,通過比較一箇風蝕季結束後,農田耕作層錶層與下層可蝕性顆粒與不可蝕顆粒相對含量的變化,提齣瞭一種估算噹前年內土壤風蝕量和粉塵釋放量的方法,併給齣瞭風蝕量與粉塵釋放量的計算公式。利用此方法對河北壩上地區主要農田類型土壤風蝕量和粉塵釋放量進行計算。計算結果錶明,2013年研究區農田風蝕量為960~5700 g/(m2·a),平均為2852.14 g/(m2·a),平均風蝕深度為0.21 cm/a,從彊度上劃分屬于重度風蝕。農田平均粉塵釋放量為768.16 g/(m2·a),約佔農田平均風蝕量的29.00%。粉塵釋放量與風蝕量之間有顯著的線性相關關繫,翻耕耙平地的風蝕量和粉塵釋放量顯著大于留茬地。該方法的估算結果與前人採用其他方法得到的結果以及實地觀測得到的結果基本吻閤。
위료계산당전년내적농전풍식량,해연구이용농전경작층토양립도조성교균일,풍식사표층가식성과립감소,불가식과립함량상대증가저일특점,통과비교일개풍식계결속후,농전경작층표층여하층가식성과립여불가식과립상대함량적변화,제출료일충고산당전년내토양풍식량화분진석방량적방법,병급출료풍식량여분진석방량적계산공식。이용차방법대하북패상지구주요농전류형토양풍식량화분진석방량진행계산。계산결과표명,2013년연구구농전풍식량위960~5700 g/(m2·a),평균위2852.14 g/(m2·a),평균풍식심도위0.21 cm/a,종강도상화분속우중도풍식。농전평균분진석방량위768.16 g/(m2·a),약점농전평균풍식량적29.00%。분진석방량여풍식량지간유현저적선성상관관계,번경파평지적풍식량화분진석방량현저대우류치지。해방법적고산결과여전인채용기타방법득도적결과이급실지관측득도적결과기본문합。
There are many ways to estimate soil wind-erosion, but no way can accurately estimate the wind erosion amount in the current year. In this study, taking advantage of the feature in the plow layer of farmland that the size composition is uniform, and the erodible particles decreasing and non-erodible particles increasing relatively by erosion in soil surface, we proposed a new method of estimating soil erosion and dust emission amount by comparing the relative change in the content of non-erodible and erodible particles between the surface and lower layers after a wind-erosion season, and giving the calculating formulas. There are four assumptions in this method:(1) there are both erodible and non-erodible particles in the plow layer of farmland. (2) The soil size composition in the plow layer is uniform, and its vertical variation can be negligible before a wind erosion season begins. (3)The farmland wind-erosion occurs from the crop harvesting of last year to the crop planting of the next year. (4) Other factors that cause changes in the size composition of surface soil can be negligible except for wind-erosion. The four assumptions are established for long plowed farmland located in arid or semi-arid regions. The size range of non-erodible particles was identified as > 1.0mm in this study. The soil erosion and dust emission amount of the main farmland types in Bashang of Hebei province in the current year was estimated by this method. The results showed that the farmland wind-erosion amount in 2013 was 960~5700 g/(m2·a), with an average of 2852.14 g/(m2·a), and the average erosion depth was 0.21 cm/a, which amounted to severe wind erosion. The average dust emission amount was 768.16 g/(m2·a), and accounted for about 29.00%of the average wind-erosion amount. There was a significant linear correlation between the dust emission and wind erosion, and the correlation coefficient(r) was 0.95. The wind-erosion and dust emission amount for different sample points were different and that was related closely to the desertification degree of the farmland. The wind erosion and dust emission amount in plowed and raked land was significantly greater than in the stubble's. The results of the farmland erosion amount obtained by this method were basically consistent with previous results obtained by other methods and our observation results indicated that this method had good feasibility. This method is simple, convenient and quick to operate, doesn’t need to consider a variety of wind-erosion factors, and doesn’t require long field observation. It has application in the evaluation of soil erosion, the desertification evolution of farmland, soil dust emission, sand disaster prevention, and so on.