水泵进水设计模型试验方法

模型试验是国际上普遍采用的检验和改进泵站进水设计的主要方法,而试验标准则是水泵进水设计模型试验的重要依据;目前我国尚未有关于泵站进水设计模型试验的试验标准。本文简要讨论了水泵进水设计的整体概念,并根据美国国家标准《水泵进水设计》(ANSI／HI9．8-1998),介绍了水泵进水设计模型试验的目的、主要内容、试验准则、测试方法、试验方案和试验结果评价等主要内容。     

灌区计算机监控系统与灌溉优化调度模型集成应用研究

大型灌区实施计算机监控是提高灌区管理水平的重要手段,灌区轮灌分组优化模型旨在求解干渠各出水口运行时调度的最优组合方案,而灌溉优化调度方案在实施过程中往往仍然采用的是计算机远程人工调度.为此研究了一种灌区轮灌分组优化模型,并得出了灌溉优化调度方案,同时采用OPC（即OLE for Process Control）技术,使灌溉优化调度方案数据与计算机控制系统有效地结合起来,提高了灌区灌溉管理自动化水平。     

柯布──道格拉斯模型在喷灌经营管理中的应用

本文以柯布──道格拉斯生产函数模型，研究分析喷灌经营管理运行中诸生产要素与总效益之间的关系，这为评估喷灌的运行管理现状及水平是否适应低耗高质高效的要求，提供了研究方法。     

湖北省林火气候的综合分区研究

本文根据主导因子及综合分区原理,对与我省森林火灾有关的主要气候要素进行单项及综合区划,共得到3级共8个林火气候区,其中,重、中等火灾区各占1/7,轻火灾区占5/7。     

基于多元统计分析的茄衣烟叶生产气候资源配置

为探究茄衣烟叶生产中的气候资源配置情况,以“云雪1号”品种为试验材料,通过调整移栽期以改变烟株生育期内的气候指标,采用多元统计分析法研究茄衣烟叶的气候资源配置及其对烟株农艺性状及发酵后烟叶化学成分的影响。相关性分析结果显示,烟株大田期的积温、≥10 ℃有效积温、总降水量与总温差对烟株农艺性状各指标的影响较大,其相关系数分布范围为0.478~0.939,而积温、≥10 ℃有效积温、平均气温对烟叶总糖、烟碱、总氮、蛋白质含量影响较大,其相关系数分布范围为-0.955~-1.000。采用因子分析的方法在8项气候指标中提取出气候积累因子与湿度因子2个主因子,进一步通过灰色关联分析得出上述二者分别是影响烟株农艺性状和烟叶常规化学成分的主因子。以上结果表明,确定茄衣烟株移栽期的主要气候因子依据为大田生育期的气温、降水量和相对湿度的综合配置。     

红肉猕猴桃果园管理技术概述

红肉猕猴桃是猕猴桃中的特色类群。红肉猕猴桃品种在消费市场需求旺盛,商业价值突出,商业栽培面积快速增加,但产业发展中的技术问题也日益突出。本文就红肉猕猴桃产业发展的基本环境和现状、果园生产的技术问题及解决方案等做一概述,以期为红肉猕猴桃产业健康持续发展提供建议。     

Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.     

Mapping the current and future distributions of Onosma species endemic to Iran

Climate change may cause shifts in the natural range of species especially for those that are geographically restricted and/or endemic species. In this study, the spatial distribution of five endemic and threatened species belonging to the genus Onosma (including O. asperrima, O. bisotunensis, O. kotschyi, O. platyphylla, and O. straussii) was investigated under present and future climate change scenarios: RCP2.6 (RCP, representative concentration pathway; optimistic scenario) and RCP8.5 (pessimistic scenario) for the years 2050 and 2080 in Iran. Analysis was conducted using the maximum entropy (MaxEnt) model to provide a basis for the protection and conservation of these species. Seven environmental variables including aspect, depth of soil, silt content, slope, annual precipitation, minimum temperature of the coldest month, and annual temperature range were used as main predictors in this study. The model output for the potential habitat suitability of the studied species showed acceptable performance for all species (i.e., the area under the curve (AUC)>0.800). According to the models generated by MaxEnt, the potential current patterns of the species were consistent with the observed areas of distributions. The projected climate maps under optimistic and pessimistic scenarios (RCP2.6 and RCP8.5, respectively) of 2050 and 2080 resulted in reductions and expansions as well as positive range changes for all species in comparison to their current predicted distributions. Among all species, O. bisotunensis showed the most significant and highest increase under the pessimistic scenario of 2050 and 2080. Finally, the results of this study revealed that the studied plant species have shown an acute adaptability to environmental changes. The results can provide useful information to managers to apply appropriate strategies for the management and conservation of these valuable Iranian medicinal and threatened plant species in the future.     

夏玉米产量时空变化及气候年型分析

定量分析夏玉米同一品种产量及产量构成要素时空变化,探讨造成产量时空差异的气候年型组合变化特征。基于2004～2013年夏玉米种植区郑单958多点田间试验数据分析表明,夏玉米区域平均产量为9 055 kg/hm~2,年际差为1 635 kg/hm~2,变幅为18.1%;地点差4 258 kg/hm~2,变幅为47.1%。夏玉米区域平均千粒重为313 g,年际变幅为13.1%;地点变幅为27.8%。夏玉米区域平均穗粒数为479,年际变幅为18.0%,地点变幅为38.7%。千粒重的增加导致夏玉米产量显著增加。穗粒数显著降低和时空差异大是造成产量波动和时空差异变幅大的主要原因。夏玉米产量和产量构成要素,低产点受各气候要素变化的影响显著;平产点受温度和日最高温度大于33℃的天数影响显著;高产点受降水影响显著。     

风险感知、保险认知与养殖户肉鸡保险购买意愿 ——基于肉鸡主产区的实证分析

风险管理是现代农业经营中的重要问题,随着农业市场化程度的加深,肉鸡产业面临着多种风险来源的冲击。农业保险作为有效的现代风险管理工具,在保障产业可持续发展、减少农户家庭收入波动方面发挥了重要作用。基于行为金融理论,利用江苏、安徽、山东、河南和辽宁5个肉鸡主产区的调研数据,运用有序Logit模型,分析风险感知与保险认知对养殖户保险购买意愿的影响,探讨两者间的交互影响机制。结果表明,尽管66.43%的农户认为肉鸡养殖保险在风险管控中的必要性较强,但86.43%的农户对保险内容的了解程度不高,仅有20.71%的农户具有强烈的保险购买意愿。生产风险感知对养殖户的保险购买意愿有促进作用。保险认知中,农户对保险重要性认知程度对其保险购买意愿有促进作用;农户对保险内容的了解程度对其保险购买意愿具有显著的抑制作用,主要由于当前肉鸡保险产品设计不合理,保险内容与农户需求不匹配,保险理赔效果不佳,对保险内容了解程度越高反而会降低农户的购买意愿。风险感知和保险认知间存在交互影响,即风险感知对农户保险购买意愿的提高效果会随着对保险重要性认知程度的提高而增强,随着对保险内容了解程度的提高而减弱。因此,政府应加强农户的风险管理教育与培训,提高其风险管理意识,同时完善和优化当前肉鸡保险的内容,使之与农户需求相匹配,并通过更广泛的宣传来提高养殖户对于肉鸡保险的认知,从而增强农户对保险的购买意愿。