| 1. | These methods enlarge the range of fuzzy optimal theory . 2 inadequate irrigation schedule is not only the key for deficit irrigation , but also the basis for optimal allocation of agricultural water resources 2 、最优灌溉制度是实行非充分灌溉的关键问题之一,同时也是非充分灌溉条件下灌溉水量时、空优化分配的基础。 |
| 2. | In order to establish relationship between crop yield and water use , a deficit irrigation experiment was conducted each for 3 main crops - spring wheat , maize and sunflower in hetao irrigation district 采用春小麦、玉米两种主要作物的非充分灌溉资料,选择上述6个作物水分响应模型分析和确立了河套灌区这两种主要作物的产量与全生育期和生育阶段水分之间的量化关系。 |
| 3. | Abstract : based on the analysis of the development process of the fullirrigation and nonfullirrigation theory and technique pattern , the late progress and the developing orientation in the future were stated in this article 文摘:本文以充分灌溉理论和节水灌溉理论及相应技术模式的发展历程分析为基础,通过对四种节水灌溉理论及相应技术模式的对比分析,初步分析了节水灌溉理论及相应技术模式的最新进展和未来的发展方向。 |
| 4. | The study demonstrates that 40 % of irrigation water can be saved under the condition of the crop output reaches 90 % of that under the sufficient irrigation ; which can provide a powerful technical support to agricultural efficient water use for the regions under the condition of water shortage 研究成果表明,在产量能达到充分灌溉条件下产量的90 %的情况下,可节约灌溉用水40 % ,能为水资源极其短缺地区的农业高效用水提供有力的技术支撑。 |
| 5. | The cabbage wue ( 204 . 4kg / hm2 . mm ) was highest in all the vegetables , instead frijole wue was only 28 . 8kg / hm2 . mm and less than other vegetables . lastly , this paper estimated the potential of water saving : 1 . by reducing the abundant irrigation , about 0 . 4 - 0 . 5 million m3 water can be saved ; 2 论文对种植业系统节水潜力做了初步探讨认为: 1 )减少过量灌溉水量,能节约水资源0 . 4 0 . 5亿m ~ 3 ; 2 )非充分灌溉技术能节约灌溉水量10左右; 3 )改进灌溉工程技术,最大能节约灌溉水量10左右。 |
| 6. | Because the models are all empirical ones established based on deficit experiment , the application of them should be limited above the low soil moisture of the water deficit experiment according to statistical theory , otherwise the prediction of crop yield by the models may produce considerable error 作物水分响应模型均为按非充分灌溉试验得到的经验模型,按数理统计和应用要求使用时应限制在非充分灌溉试验处理的水分下限值以内,不宜随意外推,否则预测或模拟的作物产量可能会有较大误差。 |
| 7. | According to the least twin multiplication to calculating the sensitivity index in several water production functions . thus , the writer obtains the fitted the value of the sensitivity index and the varied rule . at the same time , the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain 根据《随机水文学》理论中的时间序列分析法,建立了适合三江平原井灌水稻需水量预报的非平稳时序随机模型;通过分析降雨随机特性,选定季节性时序随机模型,建立了适合三江平原井灌水稻降雨预报的月平均降雨模型;根据最小二乘法,计算出几种常用水分生产函数中的敏感指数及敏感系数,进而得到三江平原适宜采用的水分生产函数漠型及模型中敏感指数的变化规律;本文提出遗传动态规划法( raga ? dp ) ,即采用改进的基于实数编码的加速遗传算法( realcodingbasedacceleratinggeneticalgorithm ,简称raga )与动态规划法( dpsa )相结合,推求非充分灌溉条件下三江平原井灌水稻的最优灌溉制度。 |
| 8. | Above results all use the theory and knowledge of system analysis , drainage and water - saving irrigation . ( l ) on the basis of spring - wheat requiring - water regulation , referring to deficient irrigation experiment data of spring - wheat , and using dynamic programming theory , this thesis develops the optimization model of spring - wheat irrigation system . the aim of model is to reduce the irrigation quota during growing - period ( 1 )根据春小麦的需水规律,应用动态规划理论和非充分灌溉原理,参照灌区春小麦的非充分灌溉实验资料,以减小生育期的灌溉定额为目的,建立了春小麦灌溉制度优化模型。 |
| 9. | The paper also analysis the change of benefits and distribute of the water resources when we have different prices on yellow river water . in consideration of the short of yellow river , the paper presents the optimization decision variable , i . e . , the yellow river water volumes used for irrigation , by applying the tolerance approach of fuzzy linear programming 鉴于目前灌区已超计划用黄河水,将来无法实施充分灌溉的事实,本文对引黄可供水量进行了水资源模糊优化,并运用模糊线性规划容差法,给出了最大隶属度下的引黄水量最优决策方案。 |
| 10. | Comparison show the swap 2 . 0 is an attractive and effective tool to obtain evapotranspiration for the study of relationship between crop yield and water use . a model of crop response to water based on bp neural network for spring wheat was developed using deficit irrigation experiment data 本文依据人工神经网络的基本原理在充分吸收其最新理论研究成果的基础上,以非充分灌溉试验得到的实测春小麦产量和各生育阶段水分资料为样本建立了基于bp神经网络的春小麦作物水分响应模型。 |