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山东黄河水量优化调度方案研究

发布时间:2019-05-08 13:06
【摘要】:根据各地市农业、工业节水水平高低比较进行水量的重新分配。将各引黄地市根据农业、工业用水量的不同,分别给予不同的权重。建立先进节水指标体系,农业按照灌溉水利用系数指标,,工业按照万元工业增加值取水量指标。将实际用水水平与各地区先进节水指标比较得出的相对差额,进行水量的优化分配,节水水平高的,水量核减较少,节水水平较低的,水量核减较多。通过研究得到如下结论: 本论文运用了GAMS软件建立了山东黄河三个典型年的水量优化分配模型,通过确定引水分配指标与用水节水水平挂钩,模拟计算了黄河山东段在三个典型年来水量减少(10%、20%和30%)三种情景时的水量优化分配问题,提出了山东黄河水量的分配模式以及优化调度方案。很好地解决了水量短缺时各地市工农业分水“一刀切”的问题,在水量调度管理工作中具有十分重要的实践意义。 通过对典型年的优化方案分析可知,山东省引黄地区淄博、青岛、济南、潍坊、济宁、滨州农业节水水平较高,德州、东营、菏泽农业节水水平较低。特枯年三种来水减少的情况下,农业用水由节水水平低的地区向节水水平高的地区分别转移了0.1090亿m3、0.2179亿m3和0.3269亿m3的水量,农业产值分别增加0.7656亿元、1.5307亿元和2.2961亿元,粮食产量分别增加2.0327万t、4.0640万t和6.0963万t;枯水年三种来水减少的情况下,农业用水由节水水平低的地区向节水水平高的地区分别转移了0.1723亿m3、0.3447亿m3和0.5170亿m3的水量,农业产值分别增加1.1935亿元、2.3876亿元和3.5811亿元,粮食产量分别增加2.7657万t、5.5329万t和8.2988万t;平水年三种来水减少的情况下,农业用水由节水水平低的地区向节水水平高的地区分别转移了0.1126亿m3、0.2252亿m3和0.3378亿m3的水量,农业产值分别增加1.4161亿元、2.8318亿元和4.2482亿元,粮食产量分别增加2.7274万t、5.4541万t和8.1821万t。 青岛、东营工业节水水平较高,菏泽、聊城、济宁工业节水水平较低。特枯年三种来水减少的情况下,工业用水由节水水平低的地区向节水水平高的地区分别转移了0.1997亿m3、0.3994亿m3和0.5991亿m3的水量,工业GDP分别增加63.2662亿元、126.5391亿元和189.7989亿元;枯水年三种来水减少的情况下,工业用水由节水水平低的地区向节水水平高的地区分别转移了0.1965亿m3、0.3929亿m3和0.5894亿m3的水量,工业GDP分别增加83.7154亿元、167.4094亿元和251.1036亿元;平水年三种来水减少的情况下,工业用水由节水水平低的地区向节水水平高的地区分别转移了0.1470亿m3、0.2940亿m3和0.4411亿m3的水量,工业GDP分别增加239.0603亿元、478.1937亿元和717.3435亿元。 在黄河来水量减少的条件下,重新优化水量的分配,转移的水量显著增加了社会经济和企业经济效益,对建设节水型社会具有重要作用。
[Abstract]:According to the level of agricultural and industrial water saving in various cities and cities, the redistribution of water quantity is carried out. According to the different agricultural and industrial water consumption, different weights will be given to the cities and cities of the Yellow River. The advanced water-saving index system should be set up, agriculture according to the index of irrigation water utilization coefficient and industry according to the index of industrial added value of ten thousand yuan. The relative difference between actual water use level and advanced water saving indexes in various regions is compared, and the optimal distribution of water quantity is carried out. The results show that the water saving level is high, the core reduction of water quantity is less, the water saving level is lower, and the water quantity core reduction is more. The conclusions are as follows: in this paper, the GAMS software is used to establish the optimal allocation model of water in three typical years of the Yellow River in Shandong Province, and the allocation index of diversion water is linked to the level of water saving by determining the distribution index of water diversion. The optimal allocation of water in the Shandong section of the Yellow River in three typical years (10%, 20% and 30%) was simulated and calculated, and the water allocation model and optimal dispatching scheme of the Yellow River in Shandong Province were put forward. The problem of "one size fits all" in industrial and agricultural water distribution during water shortage is well solved, and it is of great practical significance in the management of water quantity dispatching. According to the analysis of the optimization scheme of typical years, the agricultural water-saving level of Zibo, Qingdao, Jinan, Weifang, Jining and Binzhou in the Yellow River diversion area of Shandong Province is higher than that of Texas, Dongying and Heze. Under the condition of the reduction of three kinds of water, the agricultural water use transferred 10.9 million m3, 21.79 million m3 and 32.69 million m3 respectively from the area with low water-saving level to the area with high water-saving level, and the agricultural output value increased by 76.56 million yuan, respectively. 153.07 million yuan and 229.61 million yuan, the grain output increased by 20327 t, 40640 t and 60963 t, respectively. Under the condition of the decrease of three kinds of water in low water year, the agricultural water use transferred 17.23 million m3, 34.47 million m3 and 51.7 million m3 respectively from the area with low water saving level to the area with high water saving level, and the agricultural output value increased by 119.35 million yuan, respectively. 238.76 million yuan and 358.11 million yuan, the grain output increased by 27657 t, 55329 t and 82988 t, respectively. With the decrease of three kinds of water in plain water year, 11.26 million m3, 22.52 million m3 and 33.78 million m3 of water were transferred from the area with low water saving level to the area with high water saving level, respectively, and the agricultural output value increased by 141.61 million yuan, respectively. With 283.18 million yuan and 424.82 million yuan, the grain output increased by 27274 t, 54541 t and 81821 t, respectively. Qingdao, Dongying industrial water-saving level is higher, Heze, Liaocheng, Jining industrial water-saving level is lower. Under the condition of the decrease of the three kinds of water in the very dry year, 19.97 million m3, 39.94 million m3 and 59.91 million m3 of water were transferred from the areas with low water-saving level to those with high water-saving levels, respectively, and the industrial GDP increased by 6.32662 billion yuan, respectively. 12.65391 billion yuan and 18.97989 billion yuan; With the decrease of three kinds of water in low water year, the industrial water use transferred 19.65 million m3, 39.29 million m3 and 58.94 million m3 respectively from low water-saving area to high water-saving area, and the industrial GDP increased by 8.37154 billion yuan, respectively. 16.74094 billion yuan and 25.11036 billion yuan; With the decrease of the three types of water in plain water year, 14.7 million m3, 29.4 million m3 and 44.11 million m3 of water were transferred from the area with low water saving level to the area with high water saving level, respectively, and the industrial GDP increased by 23.90603 billion yuan, respectively. 47.81937 billion yuan and 71.73435 billion yuan. Under the condition of decreasing the inflow of water from the Yellow River, reoptimizing the distribution of water quantity, the transferred water quantity has significantly increased the social economy and the economic benefit of enterprises, and has an important role in building a water-saving society.
【学位授予单位】:济南大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TV213.4

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