Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches

Different methods have been developed to estimate evapotranspiration from remote sensing data, from empirical approaches such as the simplified relationship to complex methods based on remote sensing data assimilation along with SVAT models. The simplified relationship has been applied from small spatial scale using airborne TIR images to continental scale with NOAA data. Assimilation procedures often require remote sensing data over different spectral domains to retrieve input parameters which characterize surface properties such as albedo, emissivity or Leaf Area Index. A brief review of these different approaches is presented, with a discussion about the main physical bases and assumptions of various models. The paper reports also some examples and results obtained over the experimental area of the Alpilles Reseda project, where various types of models have been applied to estimate surface fluxes from remote sensing data.     

Hydraulic-hydrological simulations of canal-command for irrigation water management

A modelling system that combines the hydraulic simulations of the canal and hydrological simulations of the irrigated command is introduced. It uses MIKE 11 and MIKE SHE, two well-established modelling systems, for the hydraulic and hydrological simulations respectively. In addition, it also has an irrigation scheduling module and a crop growth module. The modelling system is applied to the Mahanadi Reservoir Irrigation Scheme, a large irrigation project in Central India. The results show that presently a significant amount of water is wasted in the command during the monsoon season. It is demonstrated that the minimization of this wastage could lead to a substantial crop production in the subsequent dry season. Furthermore, the simulations illustrate the versatility of the modelling system for planning and analysing the various aspects of an irrigation project.     

我国植保机械及施药技术现状与发展趋势

阐述了我国植保机械及施药技术的现状,分析了我国施药技术中存在的问题以及与国外植保机械发展水平的差距,并提出了发展趋势。     

Inverse Modeling to Quantify Irrigation System Characteristics and Operational Management

Remotely sensed (RS) data is a major source to obtain spatialdata required for hydrological models. The challenge for thefuture is to obtain besides the more direct observable data(landcover, leaf area index, digital elevation model andevapotranspiration), non-visible data such as soilcharacteristics, groundwater depth and irrigation practices.In this study we have explore the option of using inversemodeling to obtain these non-RS-visible data. For a commandarea in Haryana, India, we applied for the 2000–2001 rabiseason a RS-GIS-combined inverse modeling approach to derivenon-RS-visible data required in the regional application ofhydrological models. A Genetic Algorithm loaded stochasticphysically based soil-water-atmosphere-plant model (SWAP) wasdeveloped for the inverse problem and used in the study. Theresults showed good agreement with the inventoried data suchas soil hydraulic properties, sowing dates, groundwaterdepths, irrigation practices and water quality. The deriveddata could be used to predict the state of the system at anytime in the cropping season, which can be used to evaluateoperational management strategies.     

Agricultural practice changes with cultivating genetically modified herbicide-tolerant oilseed rape

To facilitate weed suppression, oilseed rape or canola (Brassica napus) has been genetically modified (GM) over the last two decades to incorporate herbicide tolerance (HT). The introduction of oilseed rape in commercial agriculture raises concerns about potential adverse agronomic and environmental effects linked to both the genetic modification and altered agricultural practice. How will this new crop modify the existing cropping practice? What are the potential agro-environmental implications of its introduction? This paper analyses and schematises recorded and conceivable agricultural practice changes with GMHT oilseed rape introduction and its likely agro-environmental effects. It develops a conceptual systematics of influencing factors, subsequent practice changes and likely agro-environmental effects. The results can be used to design the mandatory monitoring of adverse GM crop effects.     

杨凌区降雨对作物生长适应性的模糊分析

依据模糊数学理论 ,采用模糊综合评判方法 ,从降雨“适量”、“适时”和“有效程度”3个指标出发 ,就杨凌区降水资源对农作物生长发育适应性做了评价分析 ,并提出降雨对作物生长的适宜度模型。通过实地调查与计算分析 ,该模型较好地反映了杨凌区主要作物对该区降雨特征的适宜能力 ,同时也较好地反映了本区降雨资源的地域特征 ,为该地区农作物合理布局决策提供了科学依据     

陈垓引黄灌区渠系优化配水研究

该文以系统工程的原理方法,结合山东省陈垓引黄灌区北二干渠系统实际情况,分别以灌溉净效益最大和轮灌时间最短为目标,建立了作物最优种植面积和渠系优化配水模型,应用计算机求解,取得了满意的作物优化布局和优化配水成果。实践证明,本项成果在节水、灌溉增产、提高灌区科学管理水平等方面都有着十分重要的作用。     

石家庄污灌区污水灌溉技术的研究

分析了国内外污水灌溉的研究和发展,以石家庄市污灌区为研究对象,在分析预测未来30年污水水质水量特点的基础上,采用不同的灌水技术,利用环境容量法,分析预测了在不同务件下土壤和作物中重金属和石油类浓度的发展以及相应的污清水的灌溉需水量。针对该灌区土壤现状和污水水质特点,提出了建议的合理污水灌溉技术,以保证以土壤为中心的生态系统的可持续发展。     

河北二季作区马铃薯节水灌溉研究初报

为研究河北二季作区马铃薯整个生育期不同灌水量对其生长发育的影响,以该地主栽品种为材料,根据不同生育期需水规律,设定5个不同水量梯度的滴灌处理和1个常规沟灌处理(CK);调查分析了不同处理间物候期、重要农艺性状、病害发生情况和产量等相关指标。结果表明,处理3(采用滴灌模式,水量为110 m3)与常规沟灌相比,马铃薯生长势、总产量和商品薯产量无显著差异,生育期提前,病害较轻,商品薯率提高7.2%,节水35.41%,综合表现优于其他处理,为试验地区最佳灌水量。