Yield loss due to low precipitation use efficiency(PUE)occurs frequently in dryland crop production.PUE is determined by a complicated process of precipitation use in farmland,which includes several sequential steps:p...Yield loss due to low precipitation use efficiency(PUE)occurs frequently in dryland crop production.PUE is determined by a complicated process of precipitation use in farmland,which includes several sequential steps:precipitation infiltrates into the soil,the infiltrated precipitation is stored in soil,the soil-stored precipitation is consumed through transpiration or evaporation,transpired precipitation is used to produce dry-matter,and finally dry-matter is re-allocated to grains.These steps can be quantified by six ratios:precipitation infiltration ratio(SW/SWe;SW,total available water;SWe,available soil water storage at the end of a specific period),precipitation storage ratio(SWe/P;P,effective precipitation),precipitation consumption ratio(ET/SW;ET,evapotranspiration),ratio of crop transpiration to evapotranspiration(T/ET;T,crop transpiration),transpiration efficiency(B/T;B,the increment of shoot biomass)and harvest index(Y/B;Y,grain yield).The final efficiency is then calculated as:PUE=SWe/P×SW/SWe×ET/SW×T/ET×B/T×Y/B.Quantifying each of those ratios is crucial for the planning and execution of PUE improvements and for optimizing the corresponding agronomic practices in a specific agricultural system.In this study,those ratios were quantified and evaluated under four integrated agronomic management systems.Our study revealed that PUE and wheat yield were significantly increased by 8–31%under manure(MIS)or biochar(BIS)integrated systems compared to either conventional farmers’(CF)or high N(HN)integrated systems.In the infiltration and storage steps,MIS and BIS resulted in lower SWe/P but higher SW/SWe compared with CF and HN.Regarding the consumption step,the annual ET/SW under MIS and BIS did not increase due to the higher ET after regreening and the lower ET before regreening compared with CF or HN.The T/ET was significantly higher under MIS and BIS than under CF or HN.In the last two steps,transpiration efficiency and harvest index were less strongly affected by the agronomic management system,although both values varied considerably across the different experimental years.Therefore,attempts to achieve higher PUE and yields in rainfed wheat through agronomic management should focus on increasing the T/ET and SW/SWe,while maintaining ET/SW throughout the year and keeping SWe/P relatively low at harvest time.展开更多
以水温16oC、p H 8.1±0.2、盐度20的砂滤海水为实验用水,以体长(7.643±0.639)mm的日本囊对虾(Marsupenaeus japonicus)秋繁同生群仔虾为实验对象,经确认其在水温由16oC瞬降至14oC后并保持96h恒温的最终成活率略低于5%后,以此...以水温16oC、p H 8.1±0.2、盐度20的砂滤海水为实验用水,以体长(7.643±0.639)mm的日本囊对虾(Marsupenaeus japonicus)秋繁同生群仔虾为实验对象,经确认其在水温由16oC瞬降至14oC后并保持96h恒温的最终成活率略低于5%后,以此为水温骤降胁迫处理方式,采取显微扫描像素测量技术和多元分析方法定量研究了A、B、C、D、E实验群体,依次为温降胁迫处理后(0—24)h、(24—48)h、(48—72)h、(72—96)h时段内的死亡群体和温降胁迫处理后96h时的存活群体间形态特征的差异。结果表明:(1)各实验群体在本研究所涉15项形态性状中均无显著差异(P>0.05)仅为第一触角柄长、额剑长和眼径,在所涉17项形态比例指标均无显著差异(P>0.05)仅为尾节高/尾节长;(2)随耐寒性能差异的增大,各实验群体间的欧氏距离也随之增大,且均达到极显著水平(P<0.01);(3)经主成分分析,提取到的4个特征值均大于1的主成分,累计贡献率达87.590%,其中载荷绝对值大于0.80的主要影响变量均仅存在于第1主成分中;(4)将E实验群体定义为耐寒处理选留群,其余实验群体统归为耐寒处理淘汰群,采用逐步导入判别法建立的Fisher分类函数方程组可较清晰地区分淘汰群和选留群个体,其中选留群和淘汰群个体的判别准确率P1分别为99%和88.75%,P2分别为89.80%和98.88%,两者综合判别准确率为93.88%。展开更多
Acoustic emission(AE)source localization is a fundamental element of rock fracture damage imaging.To improve the efficiency and accuracy of AE source localization,this paper proposes a joint method comprising a three-...Acoustic emission(AE)source localization is a fundamental element of rock fracture damage imaging.To improve the efficiency and accuracy of AE source localization,this paper proposes a joint method comprising a three-dimensional(3D)AE source localization simplex method and grid search scanning.Using the concept of the geometry of simplexes,tetrahedral iterations were first conducted to narrow down the suspected source region.This is followed by a process of meshing the region and node searching to scan for optimal solutions,until the source location is determined.The resulting algorithm was tested using the artificial excitation source localization and uniaxial compression tests,after which the localization results were compared with the simplex and exhaustive methods.The results revealed that the localization obtained using the proposed method is more stable and can be effectively avoided compared with the simplex localization method.Furthermore,compared with the global scanning method,the proposed method is more efficient,with an average time of 10%–20%of the global scanning localization algorithm.Thus,the proposed algorithm is of great significance for laboratory research focused on locating rupture damages sustained by large-sized rock masses or test blocks.展开更多
基金support of the National Key Research and Development Program of China(2021YFD1900705)the National Basic Research Program of China(2015CB150402)the National Key Technology R&D Program of China(2015BAD22B01).
文摘Yield loss due to low precipitation use efficiency(PUE)occurs frequently in dryland crop production.PUE is determined by a complicated process of precipitation use in farmland,which includes several sequential steps:precipitation infiltrates into the soil,the infiltrated precipitation is stored in soil,the soil-stored precipitation is consumed through transpiration or evaporation,transpired precipitation is used to produce dry-matter,and finally dry-matter is re-allocated to grains.These steps can be quantified by six ratios:precipitation infiltration ratio(SW/SWe;SW,total available water;SWe,available soil water storage at the end of a specific period),precipitation storage ratio(SWe/P;P,effective precipitation),precipitation consumption ratio(ET/SW;ET,evapotranspiration),ratio of crop transpiration to evapotranspiration(T/ET;T,crop transpiration),transpiration efficiency(B/T;B,the increment of shoot biomass)and harvest index(Y/B;Y,grain yield).The final efficiency is then calculated as:PUE=SWe/P×SW/SWe×ET/SW×T/ET×B/T×Y/B.Quantifying each of those ratios is crucial for the planning and execution of PUE improvements and for optimizing the corresponding agronomic practices in a specific agricultural system.In this study,those ratios were quantified and evaluated under four integrated agronomic management systems.Our study revealed that PUE and wheat yield were significantly increased by 8–31%under manure(MIS)or biochar(BIS)integrated systems compared to either conventional farmers’(CF)or high N(HN)integrated systems.In the infiltration and storage steps,MIS and BIS resulted in lower SWe/P but higher SW/SWe compared with CF and HN.Regarding the consumption step,the annual ET/SW under MIS and BIS did not increase due to the higher ET after regreening and the lower ET before regreening compared with CF or HN.The T/ET was significantly higher under MIS and BIS than under CF or HN.In the last two steps,transpiration efficiency and harvest index were less strongly affected by the agronomic management system,although both values varied considerably across the different experimental years.Therefore,attempts to achieve higher PUE and yields in rainfed wheat through agronomic management should focus on increasing the T/ET and SW/SWe,while maintaining ET/SW throughout the year and keeping SWe/P relatively low at harvest time.
文摘以水温16oC、p H 8.1±0.2、盐度20的砂滤海水为实验用水,以体长(7.643±0.639)mm的日本囊对虾(Marsupenaeus japonicus)秋繁同生群仔虾为实验对象,经确认其在水温由16oC瞬降至14oC后并保持96h恒温的最终成活率略低于5%后,以此为水温骤降胁迫处理方式,采取显微扫描像素测量技术和多元分析方法定量研究了A、B、C、D、E实验群体,依次为温降胁迫处理后(0—24)h、(24—48)h、(48—72)h、(72—96)h时段内的死亡群体和温降胁迫处理后96h时的存活群体间形态特征的差异。结果表明:(1)各实验群体在本研究所涉15项形态性状中均无显著差异(P>0.05)仅为第一触角柄长、额剑长和眼径,在所涉17项形态比例指标均无显著差异(P>0.05)仅为尾节高/尾节长;(2)随耐寒性能差异的增大,各实验群体间的欧氏距离也随之增大,且均达到极显著水平(P<0.01);(3)经主成分分析,提取到的4个特征值均大于1的主成分,累计贡献率达87.590%,其中载荷绝对值大于0.80的主要影响变量均仅存在于第1主成分中;(4)将E实验群体定义为耐寒处理选留群,其余实验群体统归为耐寒处理淘汰群,采用逐步导入判别法建立的Fisher分类函数方程组可较清晰地区分淘汰群和选留群个体,其中选留群和淘汰群个体的判别准确率P1分别为99%和88.75%,P2分别为89.80%和98.88%,两者综合判别准确率为93.88%。
基金supported by the Natural Science Foundation of Henan Province(No.222300420596)China Railway Science and Technology Innovation Program Funded Project(CZ02-Special-03)Science and Technology Innovation Project funded by China Railway Tunnel Group(Tunnel Research 2021-03)。
文摘Acoustic emission(AE)source localization is a fundamental element of rock fracture damage imaging.To improve the efficiency and accuracy of AE source localization,this paper proposes a joint method comprising a three-dimensional(3D)AE source localization simplex method and grid search scanning.Using the concept of the geometry of simplexes,tetrahedral iterations were first conducted to narrow down the suspected source region.This is followed by a process of meshing the region and node searching to scan for optimal solutions,until the source location is determined.The resulting algorithm was tested using the artificial excitation source localization and uniaxial compression tests,after which the localization results were compared with the simplex and exhaustive methods.The results revealed that the localization obtained using the proposed method is more stable and can be effectively avoided compared with the simplex localization method.Furthermore,compared with the global scanning method,the proposed method is more efficient,with an average time of 10%–20%of the global scanning localization algorithm.Thus,the proposed algorithm is of great significance for laboratory research focused on locating rupture damages sustained by large-sized rock masses or test blocks.
