基于称量反馈的设施番茄灌溉系统的构建与应用

为提高设施番茄灌溉的精准性,该研究设计了一种基于称量反馈的灌溉系统,该系统包括称量反馈模块、多源信息采集传输模块、灌溉决策模块与水肥执行模块。称量反馈灌溉决策首先利用卫星定位模组获取灌溉地经纬度信息自动计算当天的日出时刻、日落时刻、日中时刻,结合椰糠条吸水特性与番茄植株日需水量变化规律,把1 d自动划分为4个不同的动态灌溉阶段;根据温室内温湿度信息及排液电导率（electrical conductivity,EC）值反馈的番茄植株根部信息,制定了一般模式灌溉肥液或洗盐模式灌溉清水（或低浓度营养液）。设计试验以基于辐射累积控制灌溉、定时灌溉作为对照,分别从栽培效果、灌溉效果、应用效益方面验证该灌溉系统的应用效果。结果显示使用该称量反馈灌溉系统比基于辐射累积控制灌溉系统灌溉量增加1.8%,用肥量减少7.3%,排液比降低7.9%,排液EC值降低9.3%;与定时灌溉方式相比灌溉量减少11.3%,用肥量减少20.0%,排液比降低17.9%,排液EC值降低4.9%。栽培效果显示,使用该称量反馈灌溉系统的椰糠条栽培番茄在茎粗、叶片叶绿素相对含量、糖度值、单穗质量和基于辐射累积的控制灌溉相比无显著性差异（P>0.05）,但株高增加4.8%;与定时灌溉相比在株高、茎粗、叶片叶绿素相对含量、糖度值、单穗质量均无显著性差异（P>0.05）。预计使用该称量反馈灌溉系统,园区15栋日光温室（1.22 hm²）相比基于辐射累积控制灌溉,应用效益月节约0.276万元,与定时灌溉方式相比,园区月节约2.247万元。该系统简化了番茄植株需水量的计算过程,实现了番茄栽培水分的精准感知与按需精量灌溉。     

单株油蒿蒸腾耗水特征及其与环境因素的关系

[目的]探究油蒿的蒸腾耗水规律及其对环境因子的响应,旨在为固沙植被建设提供科学依据。[方法]利用野外大型称重式蒸渗仪于2014年6—9月底对单株油蒿的蒸腾过程进行连续观测,并同步监测了土壤含水量及相关气象因子。[结果]油蒿单日蒸腾强度曲线在晴天表现为双峰曲线,而在阴雨天双峰曲线不明显;研究期间,单株油蒿蒸腾耗水量为101.66mm,日平均蒸腾强度为0.83mm/d。蒸渗仪内土壤蒸发量106.05mm,日平均土壤蒸发强度为0.87mm/d,试验期间蒸散量占降雨量的82.98%。降雨可以维持油蒿正常生长,并对土壤水分进行一定补充;油蒿蒸腾强度与空气相对湿度(p0.01)、空气温度(p0.01)、太阳净辐射(p0.01)和20cm深度土壤体积含水量(p0.05)具有很好的相关性,且相关性依次减小。[结论]油蒿蒸腾耗水日变化明显,其蒸腾速率受土壤水分状况、气象条件及自身生理特征等因素的影响。     

针对土壤重金属污染评价的模糊数学模型的改进及应用

土壤重金属污染评价是土壤重金属污染研究的重要课题。本文改进了针对土壤重金属污染评价的模糊数学模型和评价因子权重的计算方法,提出了基于污染物浓度和毒性的双权重因子的模糊综合评价法。该法慎重考虑了各级标准界限的模糊性,较好继承了模糊数学方法用于土壤重金属评价的优点。它从定性和定量两方面,比较客观地反映污染因子对土壤环境质量的影响。采用双权重系数法确定各指标的权重,综合考虑评价因子的浓度和毒性,不但在大多数情形下与对比的其它方法结果相一致,而且可以克服其它几种方法出现的误判,提高了评价结果的分辨性,使评价结果更全面、更能真实地反映土壤重金属污染实际状况。     

Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China

Accurate determination of evapotranspiration (ET) is useful to develop precise irrigation scheduling. Although eddy covariance (EC) is a direct method which is widely used to measure ET, its performance in arid region of northwest China is not clear. In this study, ET measured by EC (ET_EC) was compared with that by large-scale weighing lysimeter (ET_L) during the whole growing season of maize in 2009. Energy balance ratio was 0.84 for daytime fluxes, indicating that lack of energy balance closure occurred, so daytime ET_EC was adjusted by Bowen-ratio forced closure method. Compared to the corresponding ET_L, half-hourly daytime ET_EC was underestimated by 21.8% without the adjustment and 4.8% with the adjustment. Furthermore, nighttime ET_EC was adjusted using filtering/interpolation method. Mean error between half-hourly nighttime ET_EC and ET_L decreased from 30.2% without the adjustment to 10.3% with the adjustment. After such adjustment of day and night measurements, daily ET_EC was underestimated by 6.2% compared to ET_L. These results indicated that the adjusted ET_EC well matched with the ET_L. Moreover, the discrepancy of adjusted total ET_EC and ET_L was decreased to 3.2% after subtracting the overestimated ET by lysimeter resulting from irrigation and heavy rainfall events. Thus, after appropriate adjustments of observations, eddy covariance method is accurate in estimating maize ET in the arid region of northwest China.     

Evapotranspiration predictions of CERES-Sorghum model in Southern Italy

The purpose of this study was to modify and calibrate the CERES-Sorghum water balance model for the dry, high radiation and windy conditions in an area in Southern Italy.

The equation for estimating potential evapotranspiration (E₀) was substituted by another one, calibrated in the study site and expressed as a function of equilibrium evaporation and maximum vapour pressure deficit (defined as the difference between the saturation vapour pressure at maximum and at minimum temperatures).

To calibrate the E₀ equation included in CERES-Sorghum, two drainage lysimeters, located at the Istituto Sperimentale Agronomico experimental farm, Foggia (Italy), were used to measure weekly evapotranspiration of well-watered, irrigated fescue grass, from 1976 to 1986.

A further drainage lysimeter, located in the same farm and cropped with well-watered grain sorghum (cv. NK 121) was used to calibrate the genetic coefficients input to the modified CERES-Sorghum model during the cropping seasons 1979 and 1980.

Simulated phenological dates (anthesis and maturity), grain yield, LAI, biomass and crop evapotranspiration were then compared with the measured ones in a fourth drainage lysimeter cropped with sorghum.

The modified model simulated grain yield accurately, but simulated daily evapotranspiration did not always match well the observed value, especially early in the crop cycle. Improvements are needed to the model in its simulation of soil evaporation and in the crop response function to temperature.     

The use of lysimeter data for the test of two soil–water balance models: A case study

Two soil–water balance models were tested by a comparison of simulated with measured daily rates of actual evapotranspiration, soil water storage, groundwater recharge, and capillary rise. These rates were obtained from twelve weighable lysimeters with three different soils and two different lower boundary conditions for the time period from January 1, 1996 to December 31, 1998. In that period, grass vegetation was grown on all lysimeters. These lysimeters are located in Berlin‐Dahlem, Germany. One model calculated the soil water balance using the Richards equation. The other one used a capacitance approach. Both models used the same modified Penman formula for the estimation of potential evapotranspiration and the same simple empirical vegetation model for the calculation of transpiration, interception, and evaporation. The comparisons of simulated with measured model outputs were analyzed using the modeling‐efficiency index IA and the root mean squared error RMSE. At some lysimeters, the uncalibrated application of both models led to an underestimation of cumulative and annual rates of groundwater recharge and capillary rise, despite a good simulation quality in terms of IA and RMSE. A calibration of soil‐hydraulic and vegetation parameters such as maximum rooting depth resulted in a better fit between simulated and observed cumulative and annual rates of groundwater recharge and capillary rise, but in some cases also decreased the simulation quality of both models in terms of IA and RMSE. The results of this calibration indicated that, in addition to a precise determination of the soil water‐retention functions, vegetation parameters such as rooting depth should also be observed. Without such information, the rooting depth is a calibration parameter. However, in some cases, the uncalibrated application of both models also led to an acceptable fit between measured and simulated model outputs.     

动态称重模型及其系统校正

针对采用简单闭环控制方案的动态称重系统没有考虑其动态特性而导致一般校正方法不适用的问题,根据系统数学模型中参数与质量的关系,给出提高动态称重系统快速性和准确性的动态校正方法。     

不同地下水位植物蒸腾耗水特性研究

在甘肃省民勤治沙站利用非称量测渗仪研究了梭梭、柠条等 10种沙区植物的蒸腾耗水特征。结果表明 ,各种植物 5a的总蒸腾量由大到小排列为 :沙枣、花棒、沙木蓼、柠条、梭梭、白皮沙拐枣 ;随植物年龄增长 ,蒸腾系数有上升的趋势 ,而蒸散系数有下降的趋势 ;在民勤沙区 6～ 9月是主要蒸腾季节 ,该时段的蒸腾量占全年蒸腾量的80 %～ 90 % ;植物的蒸腾量随年龄的增长而迅速增加 ,但增长幅度随物种不同而异。一般生长快的植物增长快 ,生长慢的植物增长慢。     

夏玉米日蒸发蒸腾量计算方法的试验研究

根据实测资料，对波文比计算的蒸发蒸腾量和蒸渗仪实测的蒸发蒸腾量日变化进行比较及分析。结果表明，波文比所测蒸发蒸腾量与太阳净辐射的相关性比较好，薰渗仪所测值与太阳净辐射的相关性不明显。蒸发蒸腾量的日变化曲线呈单峰型，早晚小，中午大，夜间为负值。蒸渗仪受自身因素影响，变化比较敏感。两种方法计算平均值比较接近。波文比的计算值比蒸渗仪的测量值更能精确地反应短时段作物的蒸发蒸腾规律。     

河北坝上地区雨养裸燕麦田间蒸散规律

依托大型称重式蒸渗仪在2018年和2019年裸燕麦生育期内进行田间蒸散量的测定,利用根区水质模型(RZWQM2)对田间蒸散量变化的动态过程进行了模拟,并分析了不同时间尺度下田间蒸散特征及其环境影响因素.结果表明:RZWQM2模型对裸燕麦生育期内田间蒸散量模拟结果较好,2018年和2019年绝对平均误差(MAE)分别为1...