Taihu Lake area is one of the most developed areas in agricultural production. Application of fertilizers and pesticides in large quantities greatly aggravate environmental pollution of this area, and water pollution ...Taihu Lake area is one of the most developed areas in agricultural production. Application of fertilizers and pesticides in large quantities greatly aggravate environmental pollution of this area, and water pollution has worsened to an unbearable condition. Two sampling farms (respectively 1 hm2) under rape-rice rotation and wheat-rice rotation were selected as studied ecosystem and a 5-yr-old Poplar forest and 8-yr-old Metasequoia forest were chosen in the selected areas. By collecting samples of Nitrogen, Phosphorus in water, crops and underground of forest, the transfer and loss of N and P (main water pollutants) in faming ecosystem were studied, and the effects of forest belts on non-point source pollution of agricultural lands was analyzed. The results indicated that the transfer and loss of N and P vary with means of rotation, types of crops and the amount of fertilizer application. Buffering forest belts betweens farmlands and ditches can effectively stop and purify such elements as N and P in soil runoffs, thus controlling non-point source pollution of agricultural lands. When the width ratio of farmland to forest belt is 100 to 40, 50.05% losing N, 29.37% losing P can be absorbed by forest under rape-rice rotation and 30.98% N, 86.73% P can be absorbed by forest under wheat-rice rotation. When the width ratio of farmland to forest belt is 150 to 40, 33.37% losing N, 19.58% losing P can be absorbed by the forest under rape-rice rotation, and under wheat-rice rotation 20.65% lost N and 57.82% lost P can be absorbed. There is only some purification effect when the width ration of farmland to forest belt is 200 to 40. Based on model of buffering forest belts, the width ratio of farmland to forest is determined between 100 to 40 and 150 to 40, because it not only can purify water, but also occupy less farmland. It is suggested that Poplars, with the characteristics of fast-growing and high value, are suitable to be planted as shelter-forest in Taihu Lake Watershed.展开更多
As the only alkaline gas in the atmosphere,ammonia could react with sulfur dioxide and nitrogen oxides to form the secondary particles.A large amount of NH3 in the atmosphere accelerates the rate of formation of fine ...As the only alkaline gas in the atmosphere,ammonia could react with sulfur dioxide and nitrogen oxides to form the secondary particles.A large amount of NH3 in the atmosphere accelerates the rate of formation of fine particles;it therefore plays an important role in haze pollution.Livestock and poultry farming and nitrogen fertilizer application are the two main NH3 emission sources.Jiangsu Province contributes the largest proportion of NH3 emissions from agriculture in key areas of national air pollution control in China.The aims of this study are to investigate NH3 emissions from agriculture in Jiangsu Province using the emissions factor method,and analyze and summarize the characteristics and trends of NH3 emissions from 2000 to 2017.Results show that the NH3 emissions from agriculture in Jiangsu Province from 2000 to 2017 were mainly contributed by livestock and poultry farming(78.08%)and nitrogen fertilizer application(21.92%).Furthermore,a general fluctuation trend of an initial decrease and then an increase,of NH3 emissions from agriculture,could be found from 2000 to 2012,with minimum NH3 emissions in 2007(708.76 kt yr−1)and maximum emissions in 2012(837.64 kt yr−1);and then a decreasing trend was apparent from 2012(837.64 kt yr−1)to 2017(690.64 kt yr−1).A detailed estimation of the interannual trends and potential measures are also proposed.This study provides a solid theoretical foundation for the development of NH3 emissions control in Jiangsu Province.展开更多
This study tested and evaluated the agricultural non-point source （AGNPS） model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province, China. The AGNPS model was cali...This study tested and evaluated the agricultural non-point source （AGNPS） model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province, China. The AGNPS model was calibrated and validated for the study area with observed data on ten storms. The data on eight storms in 2002 were used for calibration while data on two storms were used for validation of the model. Considering the lack of water quality data over a long-term series, a novel method, comparing an internal nested catchment with its surrounding catchment, was used to supplement the less long-term series data. Dual calibration and validation of the AGNPS model was obtained by this comparison. The results indicate that the correlation coefficients were 0.99 and 0.98 for runoff, 0.94 and 0.95 for the peak runoff rate of the large catchment and the small catchment, respectively, and 0.76 for the sediment of the small catchment only. Each pair of correlation coefficients is homogeneous for the same event for the two catchments. With the exception of the sediment yield and particulate phosphorus, the peak runoff rate and other nutrients were well predicted. Sensitivity analysis showed that the Soil Conservation Service curve number and rainfall quantity were the most sensitive parameters, which resulted in high output variations. Erosivity and other parameters had little influence on the hydrological and quality outputs.展开更多
基金This paper was supported by the Environmental Protection Foundation of Jiangsu Province (2000(二) 0009) National Natural Science Foundation of China (NSFC39970605).
文摘Taihu Lake area is one of the most developed areas in agricultural production. Application of fertilizers and pesticides in large quantities greatly aggravate environmental pollution of this area, and water pollution has worsened to an unbearable condition. Two sampling farms (respectively 1 hm2) under rape-rice rotation and wheat-rice rotation were selected as studied ecosystem and a 5-yr-old Poplar forest and 8-yr-old Metasequoia forest were chosen in the selected areas. By collecting samples of Nitrogen, Phosphorus in water, crops and underground of forest, the transfer and loss of N and P (main water pollutants) in faming ecosystem were studied, and the effects of forest belts on non-point source pollution of agricultural lands was analyzed. The results indicated that the transfer and loss of N and P vary with means of rotation, types of crops and the amount of fertilizer application. Buffering forest belts betweens farmlands and ditches can effectively stop and purify such elements as N and P in soil runoffs, thus controlling non-point source pollution of agricultural lands. When the width ratio of farmland to forest belt is 100 to 40, 50.05% losing N, 29.37% losing P can be absorbed by forest under rape-rice rotation and 30.98% N, 86.73% P can be absorbed by forest under wheat-rice rotation. When the width ratio of farmland to forest belt is 150 to 40, 33.37% losing N, 19.58% losing P can be absorbed by the forest under rape-rice rotation, and under wheat-rice rotation 20.65% lost N and 57.82% lost P can be absorbed. There is only some purification effect when the width ration of farmland to forest belt is 200 to 40. Based on model of buffering forest belts, the width ratio of farmland to forest is determined between 100 to 40 and 150 to 40, because it not only can purify water, but also occupy less farmland. It is suggested that Poplars, with the characteristics of fast-growing and high value, are suitable to be planted as shelter-forest in Taihu Lake Watershed.
基金This study was funded by the National Natural Science Foundation of China[grant numbers 41771291 and 21806080]the Jiangsu Specially-Appointed Professor Program,the Six Talent Peaks Project in Jiangsu Province[grant number NY-083]the Startup Foundation for Introducing Talent of NUIST,and the Innovation and Entrepreneurship Training Program for College Students in Jiangsu Province.
文摘As the only alkaline gas in the atmosphere,ammonia could react with sulfur dioxide and nitrogen oxides to form the secondary particles.A large amount of NH3 in the atmosphere accelerates the rate of formation of fine particles;it therefore plays an important role in haze pollution.Livestock and poultry farming and nitrogen fertilizer application are the two main NH3 emission sources.Jiangsu Province contributes the largest proportion of NH3 emissions from agriculture in key areas of national air pollution control in China.The aims of this study are to investigate NH3 emissions from agriculture in Jiangsu Province using the emissions factor method,and analyze and summarize the characteristics and trends of NH3 emissions from 2000 to 2017.Results show that the NH3 emissions from agriculture in Jiangsu Province from 2000 to 2017 were mainly contributed by livestock and poultry farming(78.08%)and nitrogen fertilizer application(21.92%).Furthermore,a general fluctuation trend of an initial decrease and then an increase,of NH3 emissions from agriculture,could be found from 2000 to 2012,with minimum NH3 emissions in 2007(708.76 kt yr−1)and maximum emissions in 2012(837.64 kt yr−1);and then a decreasing trend was apparent from 2012(837.64 kt yr−1)to 2017(690.64 kt yr−1).A detailed estimation of the interannual trends and potential measures are also proposed.This study provides a solid theoretical foundation for the development of NH3 emissions control in Jiangsu Province.
文摘This study tested and evaluated the agricultural non-point source （AGNPS） model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province, China. The AGNPS model was calibrated and validated for the study area with observed data on ten storms. The data on eight storms in 2002 were used for calibration while data on two storms were used for validation of the model. Considering the lack of water quality data over a long-term series, a novel method, comparing an internal nested catchment with its surrounding catchment, was used to supplement the less long-term series data. Dual calibration and validation of the AGNPS model was obtained by this comparison. The results indicate that the correlation coefficients were 0.99 and 0.98 for runoff, 0.94 and 0.95 for the peak runoff rate of the large catchment and the small catchment, respectively, and 0.76 for the sediment of the small catchment only. Each pair of correlation coefficients is homogeneous for the same event for the two catchments. With the exception of the sediment yield and particulate phosphorus, the peak runoff rate and other nutrients were well predicted. Sensitivity analysis showed that the Soil Conservation Service curve number and rainfall quantity were the most sensitive parameters, which resulted in high output variations. Erosivity and other parameters had little influence on the hydrological and quality outputs.
