Urban soil, forming along with the development of city, has unique properties of soil organic carbon. On the basis of field investigation and laboratory analysis, soil organic carbon （SOC） of Kaifeng city was studie...Urban soil, forming along with the development of city, has unique properties of soil organic carbon. On the basis of field investigation and laboratory analysis, soil organic carbon （SOC） of Kaifeng city was studied, and the results showed that the characteristics of SOC were different not only among function districts in urban area, but also between urban area and suburbs. The order of SOC in topsoil was industrial district 〉 recreational district 〉 traffic district 〉 cultural/educational district 〉 residential/administrative district. The density of soil organic carbon （SOCD） in both topsoil and profile followed the orders of recreational district 〉 industrial district 〉 traffic district〉cultural/educational district 〉 residential/adminis-trative district, and cultural/educational district 〉 traffic district〉industrial district〉recreational district 〉 administrative/residential district, respectively. SOCD in both topsoil and profile decreased along the transection line from urban area to suburbs and urban area had 2.53-fold more SOCD in topsoil and 1.56-fold more SOCD in profile than suburbs, respectively. SOC decreased with the depth and was mainly distributed within the scope of 0-30 cm. The variances of SOC in urban area were more complicated than that in suburbs.展开更多
Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon(SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of ...Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon(SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of farmland SOC content with Internet of Things(IOT) are proposed in this paper. The IOT sensing device and transmission network were established in a wheat demonstration base in Yanzhou Distict of Jining City, Shandong Province, China to acquire data in real time. Using real-time data and statistics data, the dynamic changes of SOC content between October 2012 and June 2015 was simulated in the experimental area with SOC dynamic simulation model. In order to verify the estimation results, potassium dichromate external heating method was applied for measuring the SOC content. The results show that: 1) The estimated value matches the measured value in the lab very well. So the method is feasible in this paper. 2) There is a clear dynamic variation in the SOC content at 0.2 m soil depth in different growing periods of wheat. The content reached the highest level during the sowing period, and is lowest in the flowering period. 3) The SOC content at 0.2 m soil depth varies in accordance with the amount of returned straw. The larger the amount of returned straw is, the higher the SOC content.展开更多
研究了1982—2012年长期不同施肥下红壤性水稻土土壤有机碳含量变化、固碳趋势及外源碳输入对土壤固碳的贡献.结果表明：施肥能提高土壤有机碳含量,连续30年不同施肥后,各施肥处理土壤有机碳含量趋于稳定,有机无机配施的土壤有机碳含量...研究了1982—2012年长期不同施肥下红壤性水稻土土壤有机碳含量变化、固碳趋势及外源碳输入对土壤固碳的贡献.结果表明：施肥能提高土壤有机碳含量,连续30年不同施肥后,各施肥处理土壤有机碳含量趋于稳定,有机无机配施的土壤有机碳含量为21.02-21.24 g·kg^-1,增加速率为0.41-0.59 g·kg^-1·a^-1,单施化肥的土壤有机碳含量为15.48g·kg^-1.各有机无机肥配施处理土壤的平均有机碳储量为43.61-48.43 t C·hm^-2,历年平均土壤有机碳储量显著大于单施化肥处理.土壤固碳速率与年均投入碳量呈显著指数正相关.本试验条件下,每年需要增加外源有机碳为0.12 t C·hm^-2才能维持土壤有机碳的平衡.展开更多
基金Key Scientific and Technological Research Projects of Henan Province, No.72102150029
文摘Urban soil, forming along with the development of city, has unique properties of soil organic carbon. On the basis of field investigation and laboratory analysis, soil organic carbon （SOC） of Kaifeng city was studied, and the results showed that the characteristics of SOC were different not only among function districts in urban area, but also between urban area and suburbs. The order of SOC in topsoil was industrial district 〉 recreational district 〉 traffic district 〉 cultural/educational district 〉 residential/administrative district. The density of soil organic carbon （SOCD） in both topsoil and profile followed the orders of recreational district 〉 industrial district 〉 traffic district〉cultural/educational district 〉 residential/adminis-trative district, and cultural/educational district 〉 traffic district〉industrial district〉recreational district 〉 administrative/residential district, respectively. SOCD in both topsoil and profile decreased along the transection line from urban area to suburbs and urban area had 2.53-fold more SOCD in topsoil and 1.56-fold more SOCD in profile than suburbs, respectively. SOC decreased with the depth and was mainly distributed within the scope of 0-30 cm. The variances of SOC in urban area were more complicated than that in suburbs.
基金Under the auspices of National High-tech R&D Program of China(No.2013AA102301)National Natural Science Foundation of China(No.71503148)
文摘Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon(SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of farmland SOC content with Internet of Things(IOT) are proposed in this paper. The IOT sensing device and transmission network were established in a wheat demonstration base in Yanzhou Distict of Jining City, Shandong Province, China to acquire data in real time. Using real-time data and statistics data, the dynamic changes of SOC content between October 2012 and June 2015 was simulated in the experimental area with SOC dynamic simulation model. In order to verify the estimation results, potassium dichromate external heating method was applied for measuring the SOC content. The results show that: 1) The estimated value matches the measured value in the lab very well. So the method is feasible in this paper. 2) There is a clear dynamic variation in the SOC content at 0.2 m soil depth in different growing periods of wheat. The content reached the highest level during the sowing period, and is lowest in the flowering period. 3) The SOC content at 0.2 m soil depth varies in accordance with the amount of returned straw. The larger the amount of returned straw is, the higher the SOC content.
文摘研究了1982—2012年长期不同施肥下红壤性水稻土土壤有机碳含量变化、固碳趋势及外源碳输入对土壤固碳的贡献.结果表明：施肥能提高土壤有机碳含量,连续30年不同施肥后,各施肥处理土壤有机碳含量趋于稳定,有机无机配施的土壤有机碳含量为21.02-21.24 g·kg^-1,增加速率为0.41-0.59 g·kg^-1·a^-1,单施化肥的土壤有机碳含量为15.48g·kg^-1.各有机无机肥配施处理土壤的平均有机碳储量为43.61-48.43 t C·hm^-2,历年平均土壤有机碳储量显著大于单施化肥处理.土壤固碳速率与年均投入碳量呈显著指数正相关.本试验条件下,每年需要增加外源有机碳为0.12 t C·hm^-2才能维持土壤有机碳的平衡.
