Soil loss due to crop harvesting （SLCH） is a soil erosion process that signiifcantly contributes to soil degradation in crop-lands. However, little is known about soil nutrient losses caused by SLCH and its environm...Soil loss due to crop harvesting （SLCH） is a soil erosion process that signiifcantly contributes to soil degradation in crop-lands. However, little is known about soil nutrient losses caused by SLCH and its environmental impacts. In the North China Plain area, we measured the losses of soil organic carbon （SOC） and nitrogen as wel as phosphorus due to SLCH and assessed their relationship with soil particle size composition, agronomic practices and soil moisture content. Our results show that the losses by harvesting potato of SOC, total nitrogen （TN）, available nitrogen （AN）, available phosphorus （AP） and total phosphorus （TP） were 1.7, 1.8, 1.8, 15.9 and 14.1 times compared by harvesting sweet potato, respectively. The variation of SOC, N and P loss by SLCH are mainly explained by the variation of plant density （PD） （17–50%）, net mass of an individual tuber （Mcrop/p） （16–74%）, soil clay content （34–70%） and water content （19–46%）. Taking into account the current sewage treatment system and the ratio of the nutrients adhering to the tubers during transportation from the ifeld （NTRP/SP）, the loss of TN and TP by harvesting of potato and sweet potato in the North China Plain area amounts to 3% N and 20% P loads in the water bodies of this region. The fate of the exported N and P in the sewage treatment system ultimately controls the contribution of N and P to the polution of lakes and rivers. Our results suggest that a large amount of SLCH-induced soil nutrient export during transportation from the ifeld is a potential polutant source for agricultural water for vast planting areas of tuber crops in China, and should not be overlooked.展开更多
On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Mal...On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.展开更多
Biochar is a soil amendment for increasing soil quality and decreasing nutrient leaching. However, there is little information on the impact of biochar-based fertilizer(BF) on soil nutrient leaching in agricultural so...Biochar is a soil amendment for increasing soil quality and decreasing nutrient leaching. However, there is little information on the impact of biochar-based fertilizer(BF) on soil nutrient leaching in agricultural soils. We conducted a soil column leaching experiment to study the effects of BF on the leaching of total nitrogen(TN), total phosphorus, and total potassium(TK) in tobacco soils. The distribution characteristics of NH_4^+-N, available P, and available K in soil profiles were analyzed after the application of BF. Biochar was prepared by pyrolysis of fluecured tobacco stems. It was applied at four levels, 0%, 3%,9%, and 15%(w/w), respectively, to the compound fertilizer. Compared with the control, the leaching loss of soil TN decreased by 8.36%, 6.72%, and 6.45%, and the loss of soil TK decreased by 9.18%, 9.31% and 11.82% in the 3%,9%, and 15% BF treatments, respectively. However, BF had no significant effect on the P leaching due to the low movement of P in the soil profile. In addition, the BF addition increased the immobilization of NH_4^+-N, available P, and available K in the soil profile. These results indicate that addition of BF to a tobacco-planting soil reduced nutrient leaching, and suggest that BF could be an effective method of applying biochar to agriculture fields.展开更多
A riparian ecosystem is an ecological transition zone between a river channel and terrestrial ecosystems. Riparian ecosystems play a vital role in maintaining stream health and bank stabilization. The types of riparia...A riparian ecosystem is an ecological transition zone between a river channel and terrestrial ecosystems. Riparian ecosystems play a vital role in maintaining stream health and bank stabilization. The types of riparian vegetation have changed greatly because of human activities along the Wenyu River. This study examines the impact of riparian vegetation patterns on water pollution due to soil nutrient loss. Four riparian vegetation patterns from the river channel to the upland were chosen as the focus of this study： grassland, cropland, grassland- cropland, and grassland-manrnade lawn. The different distributions of soil nutrients along vegetation patterns and the potential risk of nutrient loss were observed and compared. The results showed that riparian cropland has the lowest value of total nitrogen （TN）, total phosphorus （TP）, available nitrogen （AN）, available phosphorus （AP）, and organic matter （OM）, but it has the highest soil bulk density （BD）. The distributions of soil TN, TP, AN, AP, and OM exhibited a declining trend from the upland toward the river channel for riparian cropland, whereas a different trend was observed for the riparian grassland. The vegetation patterns of grassland-cropland and grassland- manmade lawn show that the grassland in the lower slope has more nutrients and OM but lower soil BD than the cropland or manmade lawn in the upper slope. So, the lower-slope grassland may intercept and infiltrate surface runoff from the upland. The lower-slope grassland has higher levels of soil TN, TP, AN, and AP, and thus it may become a new source of nutrient loss. Our results suggest that the management of the riparian vegetation should be improved, particularly in densely populated areas, to control soil erosion and river pollution.展开更多
基于修正的通用土壤流失方程（RUSLE）和GIS空间分析技术,定量分析了安徽省土壤侵蚀及其养分流失的空间分布特征,探讨了土壤侵蚀强度与海拔、坡度等地形因子的关系。结果表明：2010年安徽省土壤侵蚀总量为3 454×104 t a-1,土壤侵...基于修正的通用土壤流失方程（RUSLE）和GIS空间分析技术,定量分析了安徽省土壤侵蚀及其养分流失的空间分布特征,探讨了土壤侵蚀强度与海拔、坡度等地形因子的关系。结果表明：2010年安徽省土壤侵蚀总量为3 454×104 t a-1,土壤侵蚀模数平均值为256.9 t km-2 a-1。全省以微度土壤侵蚀为主,侵蚀强度由北向南逐渐加剧。淮北与沿淮平原、江淮丘陵岗地以微度土壤侵蚀为主,皖南丘陵山区和皖西大别山区以强度侵蚀为主。海拔200~500 m和坡度15°~25°的区域土壤侵蚀量最大。不同土壤侵蚀强度在各高程、坡度带的面积分布比例规律相似,随着海拔和坡度的增加,土壤侵蚀强度逐渐加剧。微度侵蚀的面积比例逐渐减小,其他侵蚀强度的面积比例逐渐增加。全省因土壤侵蚀引起的土壤有机碳（SOC）、全氮（TN）、全磷（TP）和全钾（TK）等养分流失总量为106.6×104 t a-1,其中SOC、TN、TP和TK的平均流失量分别为3.57、0.37、0.10和3.90 t km-2 a-1。土壤养分流失量总体上由北向南逐渐增多,淮北与沿淮平原四种养分平均流失量和流失总量最小,皖南丘陵山区平均流失量和流失总量最大。展开更多
基金the National Natural Science Foundation of China(31000944 and 41171231)the International Atomic Energy Agency,Vienna(18176 and 17908)+1 种基金the State Level Public Welfare Institute Basic Scientific Research Project of China(BSRF201407)the National Key Technologies R&D Program of China during the 12th Five-year Plan period(2013BAD11B03)for financial supports
文摘Soil loss due to crop harvesting （SLCH） is a soil erosion process that signiifcantly contributes to soil degradation in crop-lands. However, little is known about soil nutrient losses caused by SLCH and its environmental impacts. In the North China Plain area, we measured the losses of soil organic carbon （SOC） and nitrogen as wel as phosphorus due to SLCH and assessed their relationship with soil particle size composition, agronomic practices and soil moisture content. Our results show that the losses by harvesting potato of SOC, total nitrogen （TN）, available nitrogen （AN）, available phosphorus （AP） and total phosphorus （TP） were 1.7, 1.8, 1.8, 15.9 and 14.1 times compared by harvesting sweet potato, respectively. The variation of SOC, N and P loss by SLCH are mainly explained by the variation of plant density （PD） （17–50%）, net mass of an individual tuber （Mcrop/p） （16–74%）, soil clay content （34–70%） and water content （19–46%）. Taking into account the current sewage treatment system and the ratio of the nutrients adhering to the tubers during transportation from the ifeld （NTRP/SP）, the loss of TN and TP by harvesting of potato and sweet potato in the North China Plain area amounts to 3% N and 20% P loads in the water bodies of this region. The fate of the exported N and P in the sewage treatment system ultimately controls the contribution of N and P to the polution of lakes and rivers. Our results suggest that a large amount of SLCH-induced soil nutrient export during transportation from the ifeld is a potential polutant source for agricultural water for vast planting areas of tuber crops in China, and should not be overlooked.
基金Supported by Brilliant Youth Fund in Hebei Province
文摘On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.
基金supported by the National Natural Science Foundation of China (Nos. 41773144 U1612441+5 种基金 41503080)the Key Technologies R&D Project in Agriculture of Guizhou province (Nos. NY [2013] 3019 NY [2015] 3001-1)the Major S&T Special Project of Guizhou province (No. [2014] 6015-21)the Opening Fund of the State Key Laboratory of Environmental Geochemistry (SKLEG2018905)Innovative Plan of Guizhou province and the Science and Technology Project of Guizhou Tobacco Company (201614)
文摘Biochar is a soil amendment for increasing soil quality and decreasing nutrient leaching. However, there is little information on the impact of biochar-based fertilizer(BF) on soil nutrient leaching in agricultural soils. We conducted a soil column leaching experiment to study the effects of BF on the leaching of total nitrogen(TN), total phosphorus, and total potassium(TK) in tobacco soils. The distribution characteristics of NH_4^+-N, available P, and available K in soil profiles were analyzed after the application of BF. Biochar was prepared by pyrolysis of fluecured tobacco stems. It was applied at four levels, 0%, 3%,9%, and 15%(w/w), respectively, to the compound fertilizer. Compared with the control, the leaching loss of soil TN decreased by 8.36%, 6.72%, and 6.45%, and the loss of soil TK decreased by 9.18%, 9.31% and 11.82% in the 3%,9%, and 15% BF treatments, respectively. However, BF had no significant effect on the P leaching due to the low movement of P in the soil profile. In addition, the BF addition increased the immobilization of NH_4^+-N, available P, and available K in the soil profile. These results indicate that addition of BF to a tobacco-planting soil reduced nutrient leaching, and suggest that BF could be an effective method of applying biochar to agriculture fields.
基金Acknowledgements This research was supported by the National Natural Science Foundation of China （Grant No. 40925003）, the National Major Scientific and Technological Specific Projects （No. 2012ZX07501002-002）, and the Innovation Project of State Key Laboratory of Urban and Regional Ecology of China （SKLURE2008-1-02）.
文摘A riparian ecosystem is an ecological transition zone between a river channel and terrestrial ecosystems. Riparian ecosystems play a vital role in maintaining stream health and bank stabilization. The types of riparian vegetation have changed greatly because of human activities along the Wenyu River. This study examines the impact of riparian vegetation patterns on water pollution due to soil nutrient loss. Four riparian vegetation patterns from the river channel to the upland were chosen as the focus of this study： grassland, cropland, grassland- cropland, and grassland-manrnade lawn. The different distributions of soil nutrients along vegetation patterns and the potential risk of nutrient loss were observed and compared. The results showed that riparian cropland has the lowest value of total nitrogen （TN）, total phosphorus （TP）, available nitrogen （AN）, available phosphorus （AP）, and organic matter （OM）, but it has the highest soil bulk density （BD）. The distributions of soil TN, TP, AN, AP, and OM exhibited a declining trend from the upland toward the river channel for riparian cropland, whereas a different trend was observed for the riparian grassland. The vegetation patterns of grassland-cropland and grassland- manmade lawn show that the grassland in the lower slope has more nutrients and OM but lower soil BD than the cropland or manmade lawn in the upper slope. So, the lower-slope grassland may intercept and infiltrate surface runoff from the upland. The lower-slope grassland has higher levels of soil TN, TP, AN, and AP, and thus it may become a new source of nutrient loss. Our results suggest that the management of the riparian vegetation should be improved, particularly in densely populated areas, to control soil erosion and river pollution.
文摘基于修正的通用土壤流失方程（RUSLE）和GIS空间分析技术,定量分析了安徽省土壤侵蚀及其养分流失的空间分布特征,探讨了土壤侵蚀强度与海拔、坡度等地形因子的关系。结果表明：2010年安徽省土壤侵蚀总量为3 454×104 t a-1,土壤侵蚀模数平均值为256.9 t km-2 a-1。全省以微度土壤侵蚀为主,侵蚀强度由北向南逐渐加剧。淮北与沿淮平原、江淮丘陵岗地以微度土壤侵蚀为主,皖南丘陵山区和皖西大别山区以强度侵蚀为主。海拔200~500 m和坡度15°~25°的区域土壤侵蚀量最大。不同土壤侵蚀强度在各高程、坡度带的面积分布比例规律相似,随着海拔和坡度的增加,土壤侵蚀强度逐渐加剧。微度侵蚀的面积比例逐渐减小,其他侵蚀强度的面积比例逐渐增加。全省因土壤侵蚀引起的土壤有机碳（SOC）、全氮（TN）、全磷（TP）和全钾（TK）等养分流失总量为106.6×104 t a-1,其中SOC、TN、TP和TK的平均流失量分别为3.57、0.37、0.10和3.90 t km-2 a-1。土壤养分流失量总体上由北向南逐渐增多,淮北与沿淮平原四种养分平均流失量和流失总量最小,皖南丘陵山区平均流失量和流失总量最大。
