Jensen模型水分敏感指数的新定义及其解法

在总结已有的作物水分生产函数Jensen模型研究工作的基础上,针对以往研究中水分敏感指数与生育阶段划分密切相关的问题,对Jensen模型进行了改造,提出了水分敏感指数的新定义。并在Jensen模型水分敏感指数的累加性分析的基础上,提出了确定Jensen模型水分敏感指数及累积曲线的更为简洁的新方法,新方法得到了田间试验的验证并与传统方法有很好的一致性。     

冬小麦水分生产函数Jensen模型敏感指数的研究

根据冬小麦返青后田间水量平衡估算出田间作物实际腾发量和最大腾发量,由此,对水分生产函数Jensen分阶段连乘模型中的敏感指数进行了拟合分析。研究表明,Jensen模型中的敏感指数与作物生长阶段以及该阶段长短占总生长期的比例有关,但冬小麦返青后各阶段的敏感指数的累计值可以表示为时间t的一元函数,且与阶段划分无关,由该函数可得到任一阶段的敏感指数值。分析结果还表明,Jensen模型可以较好地反映作物田间耗水量与产量的关系。     

黑河流域山前绿洲灌溉农田蒸散发模拟研究

基于Penman-Monteith蒸散公式, 应用土壤-植被-大气系统水分和能量传输理论对Shuttleworth-Wallace蒸散模型的参数进行改进, 得出解析计算农田作物蒸腾和土壤蒸发的双源模型. 对黑河流域山前绿洲农田春小麦生长期土壤蒸发、作物蒸腾以及总蒸散过程进行了模拟研究. 对模型的计算结果以田间观测和水量平衡方法进行验证, 误差目标NSE=0.98, 说明该模型用于农田蒸发和蒸腾的计算是合理的. 对影响蒸发和蒸腾的主导因子净辐射、叶面积指数、土壤含水量进行了相关性分析, 得出三者的变化对土壤蒸发、作物蒸腾的影响. 通过不同时期日蒸散发量变化特征的分析, 表明土壤、冠层两个界面对能量和水汽传输的交互影响效应显著.     

覆膜旱作水稻作物系数试验研究

分析了覆膜旱作水稻需水量试验资料,得出覆膜旱作水稻各生育阶段综合作物系数。综合考虑了覆膜旱作技术对水稻生理生态的影响,提出了涵盖水稻冠层叶面积指数、天顶角绿叶覆盖串、含遮阴地表植被有效覆盖串及移栽后天数等稻株生长影响因素等综合作物系数计算公式。计算结果与实测值较吻合,经F检验具有极显着性水平,可以用于覆膜旱作水稻实际蒸发蒸腾量的计算。     

两种用于作物冠层叶绿素含量提取的改进光谱指数

在深入探讨目前广泛使用的提取叶绿素含量的植被指数的光谱响应机制基础上,利用PROSPECT+SAIL模型模拟的作物冠层反射率样本数据对比分析了这些植被指数对叶绿素含量变化的敏感性差异,包括PSSRa、PSSRb、PSNDa、PSNDb、NPCI、PRI、MCARI和TVI等.结果表明,上述植被指数或对土壤背景变化敏感,或受高值LAI影响趋于饱和,对作物叶绿素含量反演效果均不理想.提出了4种基于TVI和MCARI的改进植被指数MTVI1、MTVI2、MCARI1和MCARI2,揭示了它们对土壤背景和LAI不敏感,对叶绿素含量变化更为敏感的光谱机制,并根据实验数据对其进行验证.实验表明,改进的植被指数MTVI2和MCARI2是作物冠层叶绿素含量较好的预测器,可据此建立作物冠层叶绿素含量反演模型.     

精量灌溉决策定量指标研究现状与进展

按照土壤 植物 大气连续体(SPAC)理论,灌溉决策的指标可分为三类:土壤水分、作物水分生理状况和气象因素。对这三方面的研究现状与进展作了详细的阐述。在土壤水分监测技术方面,时域反射仪(TDR)技术、微波技术、近红外辐射等的应用,使监测更加准确和便利;用于灌溉决策的作物水分生理信息监测包括:细胞液浓度、叶/水势、茎果微变化、生理电阻电容、声发射等,从目前国际上研究情况来看,叶冠层温度和茎流变化是指示作物水分状况较好的指标;在估算大气蒸发力方面,以参考作物蒸散量为指标,估计作物参考蒸散量的方法以联合国粮农组织(FAO)最新推荐的Penman-Monteith方法较为精细。并对目前灌溉决策指标的综合运用情况进行了总结。讨论了作为精准农业重要组成部分的"精量控制灌溉"今后的发展方向,建议以通过对作物、土壤、气象复合系统的分析和判断,指导灌溉的适时和适量。     

作物相对水分利用效率与理论节水潜力

作物水分利用效率是评价农业用水效率的重要指标,由于气候差异,采用作物水分利用效率评价不同区域的用水效率可能存在一定误差,尚缺乏深入研究。基于潜在水分利用效率指标和气象数据,计算了2014年中国小麦、玉米和水稻在充分灌溉条件下的潜在水分利用效率,分析了区域气候差异对作物水分利用效率的影响,提出了相对水分利用效率和理论节水潜力的概念和计算方法,并进行了实例研究。结果表明:各类作物在不同站点的潜在水分利用效率的标准差为0.49~1.01 kg/m3,多数作物潜在水分利用效率的空间差异大于实际水分利用效率的空间差异;主要作物的平均相对水分利用效率为50.7%,其理论节水潜力为884.8~4 064.5 m3/hm2;作物水分利用效率和广义节水潜力指标可能高估或低估作物的用水效率和节水潜力。研究认为在比较区域间作物的水分利用效率时不能忽略气候差异的影响;由于考虑了区域气候差异,相对水分利用效率和理论节水潜力指标更合理。     

水稻水分生产函数时空变异规律研究

基于对水稻Jensen模型中敏感指数在全生育期变化规律的认识,以生长曲线函数建立了水稻敏感指数累积函数,分析了其特征,从而解决了不同长时段敏感指数转换计算问题。较全面地揭示了水稻水分生产函数及其敏感指数累积函数中主要参数随气象条件及土壤因子变化的规律。通过参照作物需水量及其频率以及不同地区土壤有效含水量为媒介,建立了对水分敏感指标在不同水文年份 (时间)和不同地区 (空间)进行预报的数学模型,据此提出了水稻水分生产函数在时、空两方面插补、延长、移用与扩展的理论与方法。借助于参照作物需水量等值线图及土壤分布图,探讨了绘制水分生产函数及其主要参数等值线图的原理和方法。     

衡水地区农业旱情综合评价

从衡水地区气候特点出发,对农作物各生育期根系层土壤有效供水量与作物需水量进行了实验分析。考虑不同生育期缺水对产量影响的敏感性差异,建立了作物全生育期旱情评价模型。用模糊数学方法,考虑评价区域不同作物的受旱程度、播种面积、产量和价格等因素,建立了区域年度干旱评价指标体系。     

作物水分氮素生产函数模型的研究

在水分生产函数动态产量模型的基础上,考虑土壤氮素对作物生长的影响,建立了作物水分 氮素生产函数动态产量模型,根据作物生长过程中水分和氮素状态,可以对干物质生长过程进行跟踪和预测预报,利用北京永乐店试验资料进行模型参数的拟合,并应用该模型对不同生育阶段干物质产量进行预测,效果良好。     

Water Quality Characteristics and Variations of Lake Dian

In order to understand the seasonal change tendencies of the water quality of the Lake Dian (Dianchi), the monitoring data from April to September 2015 at four sites distributed in the central part from North to south were analyzed, these data includes the profiles of the water temperature (Temperature or Temp.), Dissolved Oxygen content (DO), pH values, Chlorophyll-a (Chl-a), Phycocyanin (PC) and Conductivity (CD). At the same time, the Cyanophyte Relative Quantity Index (CRQI) was calculated based on the contents of Phycocyanin and Chlorophyll-a. The results demonstrate that along with the air temperature increase, the water temperature also increased step by step from April and May, and reach the maximum in June, from July to September, the water temperature kept relatively stable and decrease steadily. It also shows that the water temperature is not only various with different water depth, but also show that the temperature increase at different speed, even generally show that the surface temperature increase more rapidly than the deep water. The water temperature and its changes may adjust the air temperature of Kunming strongly and therefore, it is important for the forming of the Four Springs City of Kunming. We found that the amount of eukaryotes represented by Chlorophyll-a increased quickly and reach the highest level in the April, but the blue-green algae, which represented by the Phycocyanin is blooming in the September. This might imply that when the blue-green algae dominated the algae, the algae blooming occur. This is of great importance to understand the algae blooming processes in Lake Dian. We hope the further monitoring will provide us more detailed and useful information. Mean while, the changes of DO, pH and CD all have shown their unique that inspire us to continue the lake water monitoring. This monitoring work also proves that the single site measurements cannot provide any reliable and useful information about the lake water quality. More detailed and sustained monitoring works need to be done before we have a fully understanding on the changes of the lake water quality.     

Investigating vegetation biophysical and spectral parameters for detecting light to moderate grazing effects: a case study in mixed grass prairie

Identifying effective vegetation biophysical and spectral parameters for investigating light to moderate grazing effects on grasslands improves management practices on grasslands. Using mixed grasslands as a case study, this paper compares responses of vegetation biophysical properties and spectral parameters derived from satellite images to grazing intensity, and identifies the suitable biophysical and spectral parameters to detect grazing effects in these areas. Biophysical properties including cover, canopy height and Leaf area index (LAI) were measured in three sites with different grazing managements and one benchmark site in 2008 and 2009 in Grasslands PlaceTypeNational Park and surrounding provincial pastures, Canada. Thirteen vegetation spectral indices, calculated by statistically combining different spectral information, were evaluated. The results indicate that canopy height and the ratio of photosynthetically active vegetation cover to non-photosynthetically active vegetation cover (PV/NPV) showed significant differences between ungrazed and grazed sites. All spectral vegetation indices except the canopy index (CI) show significant differences between grazing treatments. Red-Near infrared (Red-NIR) based vegetation indices, such as Modified Triangular Vegetation Index 1 (MTVI1), Soil-adjusted Vegetation Index (SAVI), are significantly correlated to the PV/NPV. Green/Mid-infrared (Green/MIR) related vegetation indices, i.e. Plant Senescence Reflectance Index (PRSI) and Normalized Canopy Index (NCI), show significant correlation with canopy height. Models based on a linear combination of MTVI1 and SAVI were developed for PV/NPV and PRSI and NCI for canopy height. Models that simulated PV/NPV and canopy height show significant correlations with grazing intensity, suggesting the feasibility of remote sensing to quantify light to moderate grazing effects in mixed grasslands.     

冬小麦遥感冠层温度监测土壤含水量的试验研究

在冬小麦主要生育期(2002年4月初到5月底),对不灌溉的冬小麦测定了冠层温度、地温、气温以及土壤含水量,计算了冠气温差且分析了冠层温度和冠气温差与不同土层厚度的土壤含水量相关关系。结果表明:14:00的冠层温度能较好地反映20cm土层的土壤含水量变化,但与其它各土层相关性有较大的波动性;14:00的冠气温差能较好地反映40cm以上土层的土壤含水量变化,二者的相关性很高,在20cm、40cm土层,两者相关系数R2分别为0.98866、0.99389,这为用区域遥感数据反演主要生育期冬小麦的冠气温差进而监测区域40cm土壤含水量提供了实验性的依据;拔节期和灌浆期,用14:00冠气温差来拟合各土壤层的土壤含水量有较高的精度,从而为用区域遥感数据监测区域土壤含水量提供了经验性的模型。     

Dynamic monitoring of drought using HJ-1 and MODIS time series data in northern China

From early November 2008 to February 2009, lack of rainfall led to severe drought in northern China. More than 9.3 million ha of wheat in six major crop production provinces, including Henan, Anhui, Shandong, Shanxi, Gansu, and Shaanxi, were hit by drought. Supported by Chinese HJ-1 satellite images together with NASA Moderate Resolution Imaging Spectroradiometer (MODIS) data, dynamic monitoring of the drought was conducted. HJ-1 CCD data with 30-m resolution were used to identify cropland information. Spatial–temporal variation of drought was detected using Vegetation Index and Water Index time series data derived from MODIS visible, infrared, and short-wave infrared bands. The influences of drought were classified into five levels based on MODIS-derived 8-day composite Anomaly Water Index (AWI) and field survey data. The results indicated that the drought deteriorated beginning in November 2008 and became most serious in late January 2009. HJ-1 data together with MODIS data proved to be valuable data sources for monitoring soil moisture and drought at a both regional and national scale.     

The relationship between land surface temperature and land use/land cover in Guangzhou,China

The integration of remote sensing, geographic information system, landscape ecology and statistical analysis methods was applied to study the urban thermal environment in Guangzhou. Normalized Difference Vegetation Index (NDVI), Normalized Difference Build-up Index (NDBI), Normalized Difference Barren Index (NDBaI) and Modified Normalized Difference Water Index (MNDWI) were used to analyze the relationships between land surface temperature (LST) and land use/land cover (LULC) qualitatively. The result revealed that, most urban built-up lands were located in the middle part, and high LST areas mostly and were in the middle and southern parts. Therefore, the urbanization and thermal environment in the middle and southern parts need to be determined. Land surface temperature increased with the density of urban built-up and barren land, but decreased with vegetation cover. The relationship between MNDWI and LST was found to be negative, which implied that pure water would decrease the surface temperature and the polluted water would increase the surface temperature. A multiple regression between LST and each indices as well as the elevation was created to elevate the urban thermal environment, which showed that NDVI, NDBI, NDBaI, MNDWI were effective indicators for quantifying LULC impacts on LST.     

Image based remote sensing method for modeling black-eyed beans (Vigna unguiculata) Leaf Area Index (LAI) and Crop Height (CH) over Cyprus

In this paper, Leaf Area Index (LAI) and Crop Height (CH) are modeled to the most known spectral vegetation index — NDVI — using remotely sensed data. This approach has advantages compared to the classic approaches based on a theoretical background. A GER-1500 field spectro-radiometer was used in this study in order to retrieve the necessary spectrum data for estimating a spectral vegetation index (NDVI), for establishing a semiempirical relationship between black-eyed beans’ canopy factors and remotely sensed data. Such semi-empirical models can be used then for agricultural and environmental studies. A field campaign was undertaken with measurements of LAI and CH using the Sun-Scan canopy analyzer, acquired simultaneously with the spectroradiometric (GER1500) measurements between May and June of 2010. Field spectroscopy and remotely sensed imagery have been combined and used in order to retrieve and validate the results of this study. The results showed that there are strong statistical relationships between LAI or CH and NDVI which can be used for modeling crop canopy factors (LAI, CH) to remotely sensed data. The model for each case was verified by the factor of determination. Specifically, these models assist to avoid direct measurements of the LAI and CH for all the dates for which satellite images are available and support future users or future studies regarding crop canopy parameters.     

云南水资源公报水资源量评价系统构建与实践

为满足实施最严格水资源管理的要求,根据水资源评价的理论及水资源公报编制的规范提出了云南水资源公报水资源量评价系统的构建思路,研究了降水、地表水资源量、地下水资源量、水资源总量的分析评价具体方法,并开发了云南水资源公报水资源量评价系统。实际应用验证表明,所提出的水资源评价方法是正确的、可行的,系统较好地支撑了云南水资源公报编制工作。     

幸福河评价体系及其应用

幸福河是中国新时代江河治理的新目标,对保障河流健康及经济社会可持续发展意义重大。为定量评价幸福河状况,本文通过对幸福河概念内涵的进一步梳理,提出幸福河评价体系;以安全运行、持续供给、生态健康、和谐发展"四大判断准则"为框架,按"目标-准则-指标"三层级,构建幸福河评价指标体系,包括基本指标16个、备选指标34个;参考相关规范、标准文件和研究成果,将幸福河评价指标划分为5个等级,分别给出各指标5个等级的分级标准值;引入"幸福河指数"来定量评价河流幸福河状态,采用"单指标量化-多指标综合-多准则集成"方法,定量计算幸福河指数。最后,以黄河为例,分别对2017年黄河上中下游分段、支流渭河以及流经的9个省区开展幸福河评价的实例应用。经验证,所提出的幸福河评价体系能较好地反映黄河客观实际,具有较强的可靠性和适用性。     

考虑水分胁迫后效应的作物水模型

水分胁迫具有后效应,前期水分胁迫可以影响作物后期叶面积和需水量的增减。以Jensen作物 水模型为基础,引入了水分胁迫后效应影响系数,对原模型进行了修正。修正后的模型可以将阶段水分胁迫与前期胁迫后效应对产量的影响加以区分,避免了原模型中可能产生的虚缺水现象,并可对作物(以玉米为例)前期水分胁迫处理后,后期需水量增加以及苗期胁迫处理可维持较高产量的原因进行合理解释。通过田间试验结果分析,改进后模型的模拟结果符合实际,并具有较好的精度。对模型存在的问题和不足也进行了探讨。