968 resultados para Irrigation pumps.


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根据陕北丘陵沟壑区川地、坡地以及不同坡向、不同坡位的气候条件 ,提出果树的最佳适栽地块。通过对陕北丘陵沟壑区果园土壤含水量的分析 ,提出了适合于该区的果树节水灌溉方法和灌溉量

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合理高效地利用雨水资源对西北干旱半干旱地区尤其是地表水缺乏地下水不易利用地区的经济发展具有十分重要的意义。基于此 ,我们在陕西省“窖灌农业”试验示范基地对蓄水设施的修筑、运行、维护及水质、雨水利用现状等进行了调研和考察 ,指出了其存在的问题、解决措施及进一步发展的思路 ,为该地及整个渭北地区雨水集流灌溉的进一步发展提供指导和参考

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干旱是威胁宁南山区胡麻生产持续发展的首要限制因子。采用地膜覆盖穴播种植技术 ,探索了旱地胡麻覆膜穴播种植的增产机理及其增产效应。结果表明 ,覆膜穴播可以提高土壤地温 ,保持土壤水分 ,促进土壤速效养分的充分释放和有效利用。又因穴播种植 ,胡麻籽粒顶土合力增强 ,出苗率高达 79.4%~ 96.2 % ,籽粒产量提高 37.9%~ 46.2 %。与此同时 ,作者于胡麻覆膜穴播种植后 ,在胡麻的关键生育期枞形后期—现蕾初期 ,进行了膜上节水补灌试验。结果表明 ,节水补灌 30 0~ 450 m3 /hm2可提高籽粒产量 30 %~ 44% ,水分生产效率达0 .30~ 0 .32 kg/(hm2 · mm) ,水分生产效率提高 8%~ 1 4 .9%。这一新的种植方式 ,效益显著 ,应在干旱半干旱地区的胡麻产地大面积推广应用

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本文依据田间试验数据 ,采用Jensen模式 ,研究了黄土旱区冬小麦、春玉米这两种优势作物的—水分模型 .研究结果表明 ,小麦在播种~返青期缺水敏感指数 (λ)最大 ,对缺水最为敏感 ;拔节~抽穗期次之 ,然后是抽穗~灌浆期 ,而灌浆~成熟期和返青~拔节期的敏感性最小 .总耗水量在 32 0~ 42 0mm之间 ,灌水量为 2 6 0~ 30 0mm左右、且分布在冬前和拔节~抽穗期是节水高产高效的灌水模式 .玉米拔节 -抽穗期和抽穗 -灌浆期对缺水最敏感 ,拔节前和灌浆 -成熟期敏感性小 .说明拔节后到抽穗期补水对产量作用最大 ,其次为抽穗 -灌浆期 .这为黄土旱区制定灌溉制度提供了重要理论依据

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以玉米为试验材料 ,通过大田 3种灌水方式土壤水分的入渗规律比较分析 ,发现交替隔沟灌溉和固定隔沟灌溉土壤水分的侧向入渗比较明显 ,而常规灌溉由于受到相邻灌水沟侧向入渗的影响 ,土壤水分主要在土壤剖面的垂直方向变化。对 3种灌水方式湿润锋到达深度的研究表明 ,常规灌溉的湿润锋到达深度明显大于固定隔沟灌溉和交替隔沟灌溉。因此 ,田间采用交替隔沟灌溉可以减小土壤水分发生深层渗漏的机率

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采用田间试验研究了留茬少耕秸秆全程覆盖、免耕补充灌溉和传统保墒耕作 3种方法对旱地土壤水分及小麦产量的影响。结果表明 ,留茬少耕秸秆覆盖增加了夏闲期农田的蓄水量 ,为旱地小麦播种出苗提供了水分保证。小麦收获时的土壤水分含量 ,0~ 60 cm的土壤有效蓄水量传统保墒方法为 6.4mm,免耕补充灌水的为 6.7mm,留茬少耕秸秆全程覆盖方法为 1 5 .3 mm,留茬少耕秸秆全程覆盖方法的蓄水量多 ;60~ 1 0 0 cm的土壤有效蓄水量传统保墒方法为 3 0 .9mm,免耕补充灌水为 2 0 .3 mm,留茬少耕秸秆全程覆盖方法为 3 3 .5 mm,也是留茬少耕秸秆全程覆盖方法的蓄水量多。留茬少耕秸秆全程覆盖比传统耕作保墒技术增产 6.7%~ 5 4.8%。留茬少耕秸秆覆盖技术 ,提高了小麦播种时的底墒、灌浆时的土壤水含量 ,是一种有效的蓄水保墒、提高旱地小麦产量的方法

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为了有效地进行非充分灌溉,通过不同方面研究土壤和作物水分亏缺的诊断方法,从而制定科学有效的灌水指标。对目前非充分灌溉的土壤、灌溉、作物等指标的研究现状及存在的问题进行了的阐述,讨论了非充分灌溉决策指标今后研究发展的方向。从目前国内外研究情况来看,应用叶水势、茎直径变化、冠层温度等作物指标来精确诊断作物的水分状况,已逐渐成为非充分灌溉研究领域关注的热点,但其基础理论、监测方法及不同作物的应用效果仍需进一步研究完善。因此,单纯从一种灌溉决策指标出发确定灌溉量是不全面的,如何建立非充分灌溉条件下不同地区、作物的灌溉指标体系将是今后中国重要的研究内容。

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现代化的灌溉用水管理是实现农业高效用水的重要措施之一,它可实现灌溉水资源的合理配置和灌溉系统的优化调度,达到节水增产目的,使有限的水资源获得最大的效益。采用手工方式进行灌溉用水管理,难以及时提供水资源利用最优化方案,因此急需研制出具有网络通信功能的可视化操作界面的灌溉信息管理系统,为灌区水资源评价和利用、规划等工作奠定良好的数据基础。GIS不仅具有强大的空间数据管理功能,还具有丰富的多元地学数据分析处理能力和直观的图形显示效果,因此利用GIS进行灌区的管理与建设将会有效提高灌区的工作效率和经济效益。笔者在实践调研的基础上,根据灌溉信息管理系统的功能规划及结构设计,利用MapX组件工具开发了陕西省冯家山灌区灌溉信息系统,对提高灌溉用水的管理效率进行了实例尝试,并着重对下列关键技术的运用进行了实践与思考:(1)阐述了利用可视化编程工具结合数据库管理技术、地理信息系统组件技术、网络通信技术等进行系统开发的过程;(2)着重介绍了基于MapX组件的空间数据库的建立与关联技术、灌溉管理信息的网络通信实现技术;(3)最后对在灌溉管理工作中运用GIS技术进行科学管理等相关问题进行了有益的探讨。

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利用田间小区试验研究了不同灌水对冬小麦旗叶光合功能衰退的影响。研究表明 :小麦旗叶光合衰退初期引起光合下降的原因主要是气孔限制 ,后期则为非气孔限制。灌水可提高旗叶光合速率 ,并使由气孔限制向非气孔转变的时间推后 ,同时 ,还可增加叶绿素含量 ,增强根活力 ,使小麦旗叶光合功能持续期延长。过量灌水改善旗叶光合衰退的效果主要表现在后期 ,对产量提高的意义并不大。

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滴灌条件下的水盐运移特性是寻求开发利用盐碱地和次生盐碱化防治的基础 ,国内外学者对此进行大量研究。在国内外研究成果的基础上 ,综述了滴灌点源入渗影响因素、入渗模型特性、水分分布特征、湿润体浸润形状、湿润锋运移、盐分运移的规律 ,为滴灌点源水盐运移的研究提供依据。

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在试验室内 ,进行了地下滴灌埋管深度对不同生育时期冬小麦根系生长和地上部分生长影响的试验研究。结果表明 :2 0 cm和 4 0 cm埋管深度的水分分布特征 ,在生育早期抑制地上部分营养生长 ,促进冬小麦蹲苗 ;而中后期则促进生殖生长 ,产量和水分利用效率较高。不考虑犁底层影响时 ,在重壤土上 4 0 cm是冬小麦进行地下滴灌的较好埋深

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旱地作物需水量预报决策辅助系统是利用人工智能技术 ,在 Penman公式的基础上结合现有西北旱区的农学知识、模型以及经验进行系统集成而建立的智能化计算机软件系统 ,该系统是西北地区节水农业专家系统的一个子系统。在生产实践中可为陕西关中地区的冬小麦、夏玉米的栽培作出灌溉方案的决策咨询。

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以传统耕作栽培方式为对照,研究了5种保墒灌溉栽培方式下冬小麦产量构成的差异,并对冬小麦灌浆期旗叶叶绿素含量、MDA含量、SOD含量、水分利用效率进行了研究。结果显示:不同保墒灌溉栽培方式对冬小麦均有增产作用,平均增产13.46%,穗长平均增加7.15%,不孕小穗数平均降低21.78%,结实小穗平均增加11.42%,穗粒数平均增加10.82%,千粒重平均增加11.05%。保墒灌溉栽培方式的冬小麦灌浆期旗叶叶绿素含量降低减缓,MDA含量降低、SOD含量增高,水分利用效率平均提高24.03%。结果表明,以免耕留茬方式增产幅度最大,水分利用效率最高。

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Land-use change is an important aspect of global environment change. It is, in a sense, the direct result of human activities influencing our physical environment. Supported by the dynamic serving system of national resources, including both the environment database and GIS technology, this paper analyzed the land-use change in northeastern China in the past ten years (1990 - 2000). It divides northeastern China into five land-use zones based on the dynamic degree (DD) of land-use: woodland/grassland - arable land conversion zone, dry land - paddy field conversion zone, urban expansion zone, interlocked zone of farming and pasturing, and reclamation and abandoned zone. In the past ten years, land-use change of northeastern China can be generalized as follows: increase of cropland area was obvious, paddy field and dry land increased by 74. 9 and 276. 0 thousand ha respectively; urban area expanded rapidly, area of town and rural residence increased by 76. 8 thousand ha; area of forest and grassland decreased sharply with the amount of 1399. 0 and 1521. 3 thousand ha respectively; area of water body and unused land increased by 148. 4 and 513. 9 thousand ha respectively. Besides a comprehensive analysis of the spatial patterns of land use, this paper also discusses the driving forces in each land-use dynamic zones. The study shows that some key biophysical factors affect conspicuously the conversion of different land- use types. In this paper, the relationships between land- use conversion and DEM, accnmlated temperature(>= 10 degrees C) and precipitation were analysed and represented. We conclude that the land- use changes in northeast China resulted from the change of macro social and economic factors and local physical elements. Rapid population growth and management changes, in some sense, can explain the shaping of woodland/grassland - cropland conversion zone. The conversion from dry land to paddy field in the dry land - paddy field conversion zone, apart from the physical elements change promoting the expansion of paddy field, results from two reasons: one is that the implementation of market-economy in China has given farmers the right to decide what they plant and how they plant their crops, the other factor is originated partially from the change of dietary habit with the social and economic development. The conversion from paddy field to dry land is caused primarily by the shortfall of irrigation water, which in turn is caused by poor water allocation managed by local governments. The shaping of the reclamation and abandoned zone is partially due to the lack of environment protection consciousness among pioneer settlers. The reason for the conversion from grassland to cropland is the relatively higher profits of fanning than that of pasturing in the interlocked zone of farming and pasturing. In northeastern China, the rapid expansion of built-up areas results from two factors: the first is its small number of towns; the second comes from the huge potential for expansion of existing towns and cities. It is noticeable that urban expansion in the northeastern China is characterized by gentle topographic relief and low population density. Physiognomy, transportation and economy exert great influences on the urban expansion.

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Sustainable water use is seriously compromised in the North China Plain (NCP) due to the huge water requirements of agriculture, the largest use of water resources. An integrated approach which combines the ecosystem model with emergy analysis is presented to determine the optimum quantity of irrigation for sustainable development in irrigated cropping systems. Since the traditional emergy method pays little attention to the dynamic interaction among components of the ecological system and dynamic emergy accounting is in its infancy, it is hard to evaluate the cropping system in hypothetical situations or in response to specific changes. In order to solve this problem, an ecosystem model (Vegetation Interface Processes (VIP) model) is introduced for emergy analysis to describe the production processes. Some raw data, collected by investigating or observing in conventional emergy analysis, may be calculated by the VIP model in the new approach. To demonstrate the advantage of this new approach, we use it to assess the wheat-maize rotation cropping system at different irrigation levels and derive the optimum quantity of irrigation according to the index of ecosystem sustainable development in NCP. The results show, the optimum quantity of irrigation in this region should be 240-330 mm per year in the wheat system and no irrigation in the maize system, because with this quantity of irrigation the rotation crop system reveals: best efficiency in energy transformation (transformity = 6.05E + 4 sej/J); highest sustainability (renewability = 25%); lowest environmental impact (environmental loading ratio = 3.5) and the greatest sustainability index (Emergy Sustainability Index = 0.47) compared with the system in other irrigation amounts. This study demonstrates that application of the new approach is broader than the conventional emergy analysis and the new approach is helpful in optimizing resources allocation, resource-savings and maintaining agricultural sustainability.