水稻系统地下水状况的建模和预测是该地区改善状况的主要指标之一

K. Dudchenko, T. M. Petrenko, O. I. Flinta, M. M. Datsuk
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GIS technologies should be used to quickly perform the assessment of conditions when man-made factors change. \nObjective of research is to develop the forecast models of the mail indicators of the hydro-ameliorative state of rice irrigation systems, particularly for ground water levels, for saving their fertility and increasing their efficiency. \nResearch methods. Mathematical-statistical, comparative and retrospective methods were used for analyzing the data base. The data from the Kakhovska hydrogeological and reclamation section of the Lower Dnieper BWMA as well as the data of own research over 28- year observations were used for model developing. The model of groundwater regime for the conditions of rice irrigation system was developed using the method of three-parameters smoothing, which takes into account seasonal fluctuations, in the program Statistica 10.0. The forecast was made for the period of 5 years for every month. The forecast models were developed for the experimental and production conditions. \nResults. The difference in groundwater level during a year at rice irrigation systems ranges from 0,5 to 1,0 m from the surface. Maximum actual value of ground water level in experimental conditions was 4,25 m from the surface, minimum actual value was 0,15 m from the surface during the research period and they did not differ much from the model values. The sampling interval was 4,19 m for the actual data and 3,88 m for the model. Close relation between the model of ground water regime for experimental conditions and the actual data is confirmed by the correlation coefficient 0,96. 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引用次数: 0

摘要

研究的相关性。形成现代水稻灌溉系统土壤状态的一个重要因素是水盐、养分和地下水状况。地下水位是反映水稻灌溉系统技术状况的指标之一。许多研究者证实了水稻产量与田间改良状况的直接相关关系。在植被间隔期,通过维持离地表不少于1.5 m的地下水位来保证在一定水平生长时保持土壤肥力。本港的防洪措施是根据监测数据制订的。当人为因素发生变化时,应利用地理信息系统技术快速进行条件评估。研究的目的是发展水稻灌溉系统水文改良状态的主要指标的预测模型,特别是地下水位,以节省其肥力和提高其效率。研究方法。采用数理统计法、比较法和回顾性法对数据库进行分析。该模型的开发使用了下游第聂伯河流域水文地质和填海剖面的资料以及自己28年的观测资料。在统计软件Statistica 10.0中,采用考虑季节波动的三参数平滑方法,建立了水稻灌溉系统条件下的地下水动态模型。预报是针对5年期间的每个月进行的。根据试验条件和生产条件建立了预测模型。结果。在水稻灌溉系统中,地下水位在一年内的差异范围从0.5米到1000米。在研究期间,实验条件下地下水位的实际最大值为距地表4.25 m,实际最小值为距地表0.15 m,与模型值相差不大。实际数据的采样间隔为4.19 m,模型的采样间隔为3.88 m。相关系数为0.96,证实了实验条件下的地下水动态模型与实际数据的密切关系。对试验条件下水稻灌溉系统地下水状况的预测表明,2019 ~ 2024年期间,地下水位呈下降趋势,并在距地表1,20 ~ 2,23 m范围内变化。生产工况下地下水位实际最大值为距地表3.78 m,最小值为距地表1.39 m。模型数据与实际值相差不大。建立的水稻灌溉系统生产条件地下水动态模型的相关系数为0.96,证实了该模型的可靠性。根据生产条件建立的地下水动态预测模型表明,该指标在2018-2023年期间呈增加趋势,并在距地表2,13-2,85 m范围内发生变化。结论。水稻灌溉系统地下水动态预测模型表明,在试验和生产条件下,植被间隔期地下水位将高于地表2000 m。预测结果表明,在预测期内,由于地下水状况和试验和生产水稻灌溉系统良好的水文地质改良状态,不太可能发生负土过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and forecasting of groundwater regime for rice systems as one of the main indicators of ameliorative state of the territory
Relevance of research. An important factor of the formation of the soil state of modern rice irrigation systems is water-salt, nutrient and groundwater regimes. Ground water level is one of the indicators of the technical state of rice irrigation systems. Direct correlative dependence of rice yield on the ameliorative state of the field is proved by many researchers. Maintaining of soil fertility when growing rise at a constant level is ensured by sustentation of the ground water level not less than 1,5 m from the surface in the inter-vegetation period. Measures to combat flooding in the territory are developed based on monitoring dates. GIS technologies should be used to quickly perform the assessment of conditions when man-made factors change. Objective of research is to develop the forecast models of the mail indicators of the hydro-ameliorative state of rice irrigation systems, particularly for ground water levels, for saving their fertility and increasing their efficiency. Research methods. Mathematical-statistical, comparative and retrospective methods were used for analyzing the data base. The data from the Kakhovska hydrogeological and reclamation section of the Lower Dnieper BWMA as well as the data of own research over 28- year observations were used for model developing. The model of groundwater regime for the conditions of rice irrigation system was developed using the method of three-parameters smoothing, which takes into account seasonal fluctuations, in the program Statistica 10.0. The forecast was made for the period of 5 years for every month. The forecast models were developed for the experimental and production conditions. Results. The difference in groundwater level during a year at rice irrigation systems ranges from 0,5 to 1,0 m from the surface. Maximum actual value of ground water level in experimental conditions was 4,25 m from the surface, minimum actual value was 0,15 m from the surface during the research period and they did not differ much from the model values. The sampling interval was 4,19 m for the actual data and 3,88 m for the model. Close relation between the model of ground water regime for experimental conditions and the actual data is confirmed by the correlation coefficient 0,96. The forecast of ground water regime of rice irrigation system for the experimental conditions shows that the groundwater level will decrease in the period of 2019-2024 years and will vary in the range of 1,20-2,23 m from the surface. Maximum actual value of ground water level in the production conditions was 3,78 m from the surface, minimum one was 1,39 m from surface. Model data do not much differ from the actual values. The reliability of the developed model of ground water regime for the production conditions of rice irrigation systems is confirmed by the correlation coefficient 0,96. The forecast model of the groundwater regime developed for production conditions shows that the indicator will increase in the period of 2018-2023 years and will change in the range of 2,13-2,85 m from the surface. Conclusions. Forecast modeling of ground water regime of rice irrigation systems shows that ground water level will be deeper than 2,0 m from surface in inter-vegetation period in experimental and production conditions. The results of forecasting have proved that it is unlikely the occurrence of negative soil process due to ground water regime and a good hydrogeological-ameliorative state of experimental and production rice irrigation systems during the forecast period.
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