小麦生长模拟模型软构件在VC~( )中的实现

小麦生长模拟模型软构件主要是模拟小麦生长的环境和模拟人为因素 (如施肥、灌溉等 )对小麦生长的影响。主要论述此软构件在 VC 软件平台上的具体实现过程 ,包括方案设计、程序实现和技术解析。     

小麦生长模拟模型软构件在VC^＋＋中的实现

小麦生长模拟模型软构件主要是模拟小麦生长的环境和模拟人为因素（如施肥、灌溉等）对小麦生长的影响。主要论述此软构件在ＶＣ＾＋＋软件平台上的具体实现过程,包括方案设计、程序实现和技术解析。     

黑龙江省气候变化趋势对小麦产量的影响

利用黑龙江省1961～2003年逐日气象资料,采用世界粮食研究模型(WOFOST)和气候变化趋势分析的数学方法,分析了气候变化趋势对小麦产量变化趋势的影响.在黑龙江省中部、东部和北部相对湿润的小麦种植区域,辐射量降低趋势是小麦模拟产量降低趋势的主要气候原因;在松嫩平原西南部的齐齐哈尔市、大庆市和哈尔滨市,降水量增加的趋势是小麦模拟产量增加趋势的主要气候原因;在西北部的北安、五大连池、克山和克东4县,辐射量增加趋势是小麦模拟产量增加趋势的主要气候原因;黑龙江省小麦模拟产量变化趋势百分率的平均值为-1.57%/10a.     

CERES-玉米模拟模式的数值试验及应用

利用美国的CERES玉米模拟模式对河南省伊川县1992、1993年共6期玉米分期播种资料进行了模拟,对生育期和籽粒产量的模拟效果较好。经对播种密度、播种日期、播种深度与籽粒产量关系的数值试验,提出高产密度标准为8.25(高肥水田块可达9.75)株·m^-2,最佳播期为5月31日～6月5日和最适播种深度为6cm左右。经对河南省南阳市大田玉米生长发育的模拟验证,平均相对误差率为5.6%,并可用理论计算的逐日太阳辐射代替实测太阳辐射进行生长模拟。所以CERES玉米模拟模式作某些参数调整后可应用于业务工作     

锡林浩特草原CO2通量特征及其影响因素分析

利用锡林浩特国家气候观象台开路涡度相关系统、辐射土壤观测系统,测得的长期连续通量观测数据,对锡林浩特草原2009—2011年期间的CO₂通量观测特征进行了分析。结果表明:CO₂通量存在明显的年际、季节和日变化特征。3 a中NEE年际变率达到200 g·m^-2,季节变率最大达到460 g·m^-2,日变化幅度生长季最大达到0.25 mg·m^-2·s^-1。通过不同时间尺度碳通量与温度、水分、辐射等环境因子的分析,认为CO₂通量日变化主要受温度和光合有效辐射影响,而季节变化和年变化主要受降水和土壤含水量的影响。降水强度及时间分布是制约牧草CO₂吸收的关键因素,大于15%的土壤含水量有利于促进牧草生长。     

基于WCSODS的小麦渍害模型及其在灾害预警上的应用

在WCSODS（小麦模拟优化决策系统）中增加了过量土壤水对小麦光合作用、干物质分配、叶片衰老等影响模块,实现了渍害条件下对冬小麦生长和产量的模拟。用试验资料和区域统计单产对模型进行了检验,结果表明:模拟误差在10%以内。灵敏度分析的结果亦表明:随着渍水持续天数的增加,小麦渍害加重,10 d渍水对产量影响不大,而30 d渍水可造成减产7%~32%;当渍水天数相同时,以孕穗期的渍害对产量影响最大;灌浆期、拔节期次之,冬前分蘖期的影响较小。这与当地小麦专家的看法相一致,说明小麦渍害模型具有一定的合理性。利用本模型和南京、南通两地的历史气象和产量资料,对大面积小麦平均单产进行了试预报,结果基本令人满意。     

二氧化碳浓度增加对冬小麦生长发育影响的数值模拟

根据国内外小麦生长模拟研究成果,借鉴荷兰学者的模拟思路,从作物生长的主要生理过程人手,综合考虑气候变暖与大气中CO2浓度增加等因素对作物生长发育和产量形成的影响,修正了在一级生产水平下冬小麦生长模拟模式,使得模式能够对CO2浓度的变化做出相应的反应。经资料检验,在当前CO2浓度下,冬小麦总干重和穗干重的模拟平均相对误差小于10％,其它器官干重及叶面积指数的模拟也取得了较好的结果。运用改进后的模式模拟试验了未来气候变暖和CO2倍增对冬小麦生长发育的可能影响。     

1981—2016年河南省冬小麦产量对气象因素变化的响应

基于河南省19812016年18个农业气象观测站的冬小麦观测资料及气象资料,采用一元线性回归法、偏相关分析法和多元线性回归模拟等,分析河南省冬小麦生长发育和产量对气候变化的响应。结果表明：河南省冬小麦出苗返青期和开花成熟期延长,返青开花期缩短,全生育期缩短。全生育期内最高气温和最低气温呈升高趋势,降水量变化不明显,太阳辐射呈减少趋势,不同生长阶段内各气象要素变化趋势不一致。最高气温与小麦气象产量为负相关关系,最低气温、太阳辐射与小麦气象产量为正相关关系,降水量与不同区域的小麦气象产量相关关系不同。小麦相对气象产量与各气象要素敏感性分析结果表明：不同生长阶段小麦相对气象产量对各气象要素变化的敏感性不同;小麦生长时期内最高气温升高1 ℃,相对气象产量减少约16.00%;最低气温升高1 ℃,相对气象产量增加约17.00%;降水量减少10.00%,相对气象产量增加约0.35%;太阳辐射减少10.00%,相对气象产量减少约1.70%。     

青藏高原夏季砾石与有机质对土壤水热影响的数值模拟

青藏高原(简称高原,下同)地形复杂,各个区域土壤条件差异较大,土壤砾石与有机质对土壤水热有较大的影响。本文使用耦合了CLM4.5的区域气候模式RegCM4.7,通过修改模式所用地表数据以及相应的土壤水热参数化方案,分别建立了砾石方案(test2)和砾石-有机质方案(test3)。模拟结果表明:test2较原方案(test1)对于高原西部的模拟效果提升明显,但对于高原东部的模拟效果欠佳。test3在test2的基础上,提升了高原中部与东部浅层土壤的模拟效果。test3的浅层土壤区域平均温度均方根误差从2.11 ℃下降到0.47 ℃,浅层土壤区域平均湿度均方根误差从0.05 mm³·mm^-3下降到0.01 mm³·mm^-3。同时,三种方案均能较好地模拟高原的地表温度。其中test3误差最小,区域平均的均方根误差从2.18 ℃下降到0.74 ℃,与再分析数据更加接近。     

南京市降水化学特征及其来源研究

为了解南京江北地区降水化学特征,分析了2011年3—6月共25个降水日的109个降水样品中的主要水溶性离子,并利用后向轨迹模式探讨了降水气团来源.结果表明:1)南京地区3—6月降水主要受南、北2种气团影响,北方气团降水的主要离子浓度高于南方气团降水.2)海盐示踪法和相关性分析显示,降水中NO₃^-和SO₄^2-主要来自燃煤、工业排放和汽车尾气;Ca²⁺主要来自地壳源;Cl^-主要来自海洋;海洋源和陆源对Mg²⁺和K⁺都有贡献,Mg²⁺的陆源贡献大于海洋源贡献,K⁺受海洋源的影响程度要低于Mg²⁺.3)南、北气团初期降水的各离子浓度高于总降水的各离子浓度,且初期降水的主要离子的富集系数高于总降水.这说明在降水初始阶段,雨水对南京大气中污染物(气态污染物和颗粒物)的云下冲刷去除作用较强,降水的离子浓度最高,局地源对降水离子的贡献较明显.     

O3,CO2浓度及太阳光谱变化对作物光合作用影响的数值模拟研究

对光合作用 蒸腾作用 气孔调节进行耦合 ,从生物化学尺度扩展至冠层尺度 ,发展了一个冬小麦冠层光合作用生态动力模式 ,模式考虑了O3,CO2 和光谱变化对作物光合的综合影响。利用美国光合作用实测资料对模式进行验证 ,叶片模式通过了相关显著性检验并具有较高的准确度。数值分析表明 :当O3 浓度由 0× 10 -9V/V上升至2 0 0× 10 -9V/V时 ,冠层光合速率下降 2 9%左右 ;当CO2 浓度由 330× 10 -6V/V上升至 6 6 0× 10 -6V/V时 ,冠层光合速率增加大约 37% ;当光谱比例系数由目前的 0 .5下降至 0 .4时 ,冠层光合速率将下降 2 7%左右。对于污染严重、易发生光化学烟雾的城郊附近 ,在阳光强烈的典型晴天 ,中午O3 浓度达到 2 0 0× 10 -9V/V时 ,即使气候条件不发生改变 ,CO2 浓度对作物光合作用的正效应也不足以弥补O3 浓度升高所造成的负效应 ,冠层光合速率将比目前干洁地区略有下降 ,如果进一步考虑光合作用有效辐射光谱成分下降至 0 .4左右 ,冠层光合作用将比目前的BASE值下降 35 %左右。     

Combined impact of climate change,cultivar shift,and sowing date on spring wheat phenology in Northern China

Distinct climate changes since the end of the 1980s have led to clear responses in crop phenology in many parts of the world. This study investigated the trends in the dates of spring wheat phenology in relation to mean temperature for different growth stages. It also analyzed the impacts of climate change, cultivar shift, and sowing date adjustments on phenological events/phases of spring wheat in northern China (NC). The results showed that significant changes have occurred in spring wheat phenology in NC due to climate warming in the past 30 years. Specifically, the dates of anthesis and maturity of spring wheat advanced on average by 1.8 and 1.7 day (10 yr)^?1. Moreover, while the vegetative growth period (VGP) shortened at most stations, the reproductive growth period (RGP) prolonged slightly at half of the investigated stations. As a result, the whole growth period (WGP) of spring wheat shortened at most stations. The findings from the Agricultural Production Systems Simulator (APSIM)-Wheat model simulated results for six representative stations further suggested that temperature rise generally shortened the spring wheat growth period in NC. Although the warming trend shortened the lengths of VGP, RGP, and WGP, the shift of new cultivars with high accumulated temperature requirements, to some extent, mitigated and adapted to the ongoing climate change. Furthermore, shifts in sowing date exerted significant impacts on the phenology of spring wheat. Generally, an advanced sowing date was able to lower the rise in mean temperature during the different growth stages (i.e., VGP, RGP, and WGP) of spring wheat. As a result, the lengths of the growth stages should be prolonged. Both measures (cultivar shift and sowing date adjustments) could be vital adaptation strategies of spring wheat to a warming climate, with potentially beneficial effects in terms of productivity.     

MODIS卫星NDVI时间序列变化在冬小麦面积估算中的应用分析

以陕西小麦主产区关中地区为研究地点,EOS/MODIS卫星数据为主要数据源,借助冬小麦地面定位调查数据和土地覆盖类型图作为辅助信息,计算得到不同覆盖类型的植被指数时序曲线图,找出冬小麦发育期植被指数变化规律,剔除小麦生长季节的非麦区信息,用几个关键期的植被指数变化差值图设定不同阈值,利用GIS空间分析功能得到麦区分布图...     

Elevation Dependence of Winter Wheat Production in Eastern Washington State with Climate Change: A Methodological Study

Crop growth models, used in climate change impact assessments to project production on a local scale, can obtain the daily weather information to drive them from models of the Earth's climate. General Circulation Models (GCMs), often used for this purpose, provide weather information for the entire globe but often cannot depict details of regional climates especially where complex topography plays an important role in weather patterns. The U.S. Pacific Northwest is an important wheat growing region where climate patterns are difficult to resolve with a coarse scale GCM. Here, we use the PNNL Regional Climate Model (RCM) which uses a sub-grid parameterization to resolve the complex topography and simulate meteorology to drive the Erosion Productivity Impact Calculator (EPIC) crop model. The climate scenarios were extracted from the PNNL-RCM baseline and 2 × CO₂ simulationsfor each of sixteen 90 km² grid cells of the RCM, with differentiation byelevation and without correction for climate biases. The dominant agricultural soil type and farm management practices were established for each grid cell. Using these climate and management data in EPIC, we simulated winter wheat production in eastern Washington for current climate conditions (baseline) and a 2 × CO₂ `greenhouse' scenario of climate change.Dryland wheat yields for the baseline climate averaged 4.52 Mg ha^–1 across the study region. Yields were zero at high elevations where temperatures were too low to allow the crops to mature. The highest yields (7.32 Mgha^–1) occurred at intermediate elevations with sufficientprecipitation and mild temperatures. Mean yield of dryland winter wheat increased to 5.45 Mg ha^–1 for the 2 × CO₂ climate, which wasmarkedly warmer and wetter. Simulated yields of irrigated wheat were generally higher than dryland yields and followed the same pattern but were, of course, less sensitive to increases in precipitation. Increases in dryland and irrigated wheat yields were due, principally, to decreases in the frequency of temperature and water stress. This study shows that the elevation of a farm is a more important determinant of yield than farm location in eastern Washington and that climate changes would affect wheat yields at all farms in the study.     

Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain

This paper explores changes in climatic variables, including solar radiation, rainfall, fraction of diffuse radiation (FDR) and temperature, during wheat season (October to May) and maize season (June to September) from 1961 to 2003 at four sites in the North China Plain (NCP), and then evaluates the effects of these changes on crop growth processes, productivity and water demand by using the Agricultural Production Systems Simulator. A significant decline in radiation and rainfall was detected during the 43 years, while both temperature and FDR exhibit an increasing trend in both wheat and maize seasons. The average trend of each climatic variable for each crop season from the four sites is that radiation decreased by 13.2 and 6.2 MJ m^?2 a^?1, precipitation decreased by 0.1 and 1.8 mm a^?1, minimum temperature increased by 0.05 and 0.02°C a^?1, maximum temperature increased by 0.03 and 0.01°C a^?1, FDR increased by 0.21 and 0.38% a^?1 during wheat and maize season, respectively. Simulated crop water demand and potential yield was significantly decreased because of the declining trend in solar radiation. On average, crop water demand was decreased by 2.3 mm a^?1 for wheat and 1.8 mm a^?1 for maize if changes in crop variety were not considered. Simulated potential crop yields under fully irrigated condition declined about 45.3 kg ha^?1 a^?1 for wheat and 51.4 kg ha^?1 a^?1 for maize at the northern sites, Beijing and Tianjin. They had no significant changes in the southern sites, Jinan and Zhengzhou. Irrigation, fertilization development and crop variety improvement are main factors to contribute to the increase in actual crop yield for the wheat–maize double cropping system, contrasted to the decline in the potential crop yield. Further research on how the improvement in crop varieties and management practices can counteract the impact of climatic change may provide insight into the future sustainability of wheat–maize double crop rotations in the NCP.     

A Process-based Model of N2O Emission from a Rice-Winter Wheat Rotation Agro-Ecosystem： Structure, Validation and Sensitivity

In order to numerically simulate daily nitrous oxide(N2O) emission from a rice-winter wheat rotation cropping system,a process-based site model was developed(referred to as IAP-N-GAS) to track the movement and transformation of several forms of nitrogen in the agro-ecosystem,which is affected by climate,soil,crop growth and management practices.The simulation of daily N2O fluxes,along with key daily environmental variables,was validated with three-year observations conducted in East China.The validation dem...     

Ammonia emission from subtropical crop land area in India

Ammonia (NH₃) emission from wheat (November to April) and rice (July to October) crops was measured using the chemiluminescence method at a subtropical agricultural area of India during 2009?C2010. Samples were collected from the canopy height during different growth stages of wheat crop to study the variations of NH₃ emission during different growth stages of the crop. Background atmospheric concentration of NH₃ was measured at 5 m height at the study site. Background NH₃ concentration was subtracted from the NH₃ concentration at crop canopy height to estimate the emission of NH₃ from crop canopy. The NH₃ emission from the wheat crop were recorded as 33.3 to 57.0; 15.3 to 29.2; 10.3 to 28.0; 8.7 to 23.9 and 13.9 to 28.9 ??g m^?2 d^?1 during sowing, crown root initiation (CRI), panicle initiation, grain filling and maturity stages of the crop respectively. The NH₃ emission followed a diurnal pattern with significant correlation with ambient temperature at different crop growth stages. Cumulative seasonal NH₃ emission to the atmosphere was accounted for the loss of ??10% of applied N-fertilizer during the wheat crop growing period. Immediate increase in NH₃ emission was recorded from rice crop, grown under temperature gradient tunnel (TGT). However, the NH₃ emission inside the TGT decreases within 3?C4 h after the N-fertilizer application. Continuous estimation of NH₃ concentration at the crop canopy inside the TGT, suggests that the NH₃ emission to the atmosphere reaches its peak within ??20 h of N-fertilizer application and continues up to 5 d following a diurnal pattern.     

厌氧条件下土壤反硝化气体(N2、N2O、NO)和CO2排放——氦环境培养—气体同步直接测定法的应用初探

反硝化过程是维系闭合氮循环所必需的氮素形态转化环节。土壤反硝化过程速率及产物比的直接测定是研究氮循环过程机理的基础,但却是一个难题。为解决此难题,德国卡尔斯鲁厄技术研究所与中国科学院大气物理研究所最近合作新建了一套通过氦环境培养-气体同步直接测定土壤反硝化气体--氮气（N2）、氧化亚氮（N2O）、一氧化氮（NO）和二氧化碳（CO2）排放的系统和与之配套的三阶段培养方法。为检验该新建系统和配套方法测定土壤反硝化过程的准确性和可靠性,以华北地区广泛分布的盐碱地农田土壤（采自山西运城）为研究对象开展实验室培养试验,在初始可溶性有机碳（DOC）供应比较充足约300 mgC kg–1干土（d.s.）的条件下,测试了不同初始土壤硝态氮含量水平（10、100 mgN kg–1d.s.左右,分别表示为10N和100N）的反硝化气体和CO2排放过程。结果显示：100N的反硝化速率（定义为N2、N2O 和NO 排放速率之和）显著高于10N 处理（统计检验显著水平p＜0.01）;两个处理的反硝化产物均以N2为主（质量比分别占77%和75%）,产物的NO/N2O摩尔比分别为1.2和1.5,N2O/N2摩尔比均为0.19;土壤反硝化气体动态排放速率及相关指标的测定结果表明,培养土壤中消失的硝态氮被回收81%～87%,培养前后的氮平衡率达92%～95%。因此,该新建方法测定土壤反硝化速率和产物比的结果具有很好的可靠性,为定量研究土壤反硝化过程提供了有效的直接测定手段。研究中检测到的土壤反硝化产物NO/N2O摩尔比大于1,不同于以往用液体培养基纯培养反硝化细菌得出的NO/N2O摩尔比远小于1的结论。这意味着,不能用NO/N2O摩尔比小于1与否来推断土壤排放的N2O和NO是主要来源于反硝化作用还是硝化作用。     

冬小麦生长和产量形成与气象条件关系及其动态模拟的研究——以河南省黄淮平原冬小麦中、低产地区为例

本文以能量转换和物质循环的观点,根据大量的田间试验及气象资料,对河南省黄淮平原中、低产地区冬小麦生长和产量形成与气象条件的定量关系及其时空变化特点作了分析,并指出了小麦群体内部光合有效辐射(PAR)的垂直分布特征;群体中存在着一个对PAR的强烈削弱层,它随着小麦生育期的后延而升高。依该地区小麦干物质积累不同特点,作者提出了早播、适播、迟播和受冻害四种生长型。 在前人研究的基础上,作者提出了“冬小麦农业气象计算机模拟模型”(WWACSM),它由发育期、叶面积系数及光合生产三个一级子模式和若干个二级子模式组成:并结合河南省黄淮平原小麦生产实践,对其中某些子模式作了探索和改进,为进一步发展该地区小麦的商品生产提供了气象依据。