农业工程学报
農業工程學報
농업공정학보
2013年
7期
66-75
,共10页
径流%灌溉%预测%不确定性%红崖山灌区
徑流%灌溉%預測%不確定性%紅崖山灌區
경류%관개%예측%불학정성%홍애산관구
runoff%irrigation%forecasting%uncertainty%Hongyashan irrigation region
有关径流预测和灌溉用水量的研究对优化配置和合理利用水资源、制订区域社会经济规划具有重要意义.该文应用灰色-时间序列分析法对蔡旗断面年径流量进行预测,然后以该径流预测结果为基础,进行基于不确定性的红崖山灌区2011-2020年最大效益及主要作物灌溉水量的预测.结果表明,径流预测结果与实测值比较吻合,合格率为67.6%,蔡旗径流受人类活动影响较大.此外,有效的节水改造措施在干旱缺水地区是十分必要的,它可大大提高水分利用效率,保证一定的经济效益.就红崖山灌区而言,棉花比起春小麦、籽瓜和白兰瓜,是单位水经济效益最大的作物,其次是白兰瓜,所以在可用水量短缺时,应保证棉花和白兰瓜的灌溉用水,以减小因缺水灌溉而带来的经济损失.
有關徑流預測和灌溉用水量的研究對優化配置和閤理利用水資源、製訂區域社會經濟規劃具有重要意義.該文應用灰色-時間序列分析法對蔡旂斷麵年徑流量進行預測,然後以該徑流預測結果為基礎,進行基于不確定性的紅崖山灌區2011-2020年最大效益及主要作物灌溉水量的預測.結果錶明,徑流預測結果與實測值比較吻閤,閤格率為67.6%,蔡旂徑流受人類活動影響較大.此外,有效的節水改造措施在榦旱缺水地區是十分必要的,它可大大提高水分利用效率,保證一定的經濟效益.就紅崖山灌區而言,棉花比起春小麥、籽瓜和白蘭瓜,是單位水經濟效益最大的作物,其次是白蘭瓜,所以在可用水量短缺時,應保證棉花和白蘭瓜的灌溉用水,以減小因缺水灌溉而帶來的經濟損失.
유관경류예측화관개용수량적연구대우화배치화합리이용수자원、제정구역사회경제규화구유중요의의.해문응용회색-시간서렬분석법대채기단면년경류량진행예측,연후이해경류예측결과위기출,진행기우불학정성적홍애산관구2011-2020년최대효익급주요작물관개수량적예측.결과표명,경류예측결과여실측치비교문합,합격솔위67.6%,채기경류수인류활동영향교대.차외,유효적절수개조조시재간한결수지구시십분필요적,타가대대제고수분이용효솔,보증일정적경제효익.취홍애산관구이언,면화비기춘소맥、자과화백란과,시단위수경제효익최대적작물,기차시백란과,소이재가용수량단결시,응보증면화화백란과적관개용수,이감소인결수관개이대래적경제손실.
@@@@This study on runoff forecast and irrigation water use has important significance in optimal allocation and rational utilization of water resources and the development of regional social economy programming. A lot of research work about runoff forecast and irrigation water use has been done by many famous experts, however they usually ignored the uncertainty in the process of research, and rarely forecasted the future irrigation water use by linking the determination of irrigation water use and runoff forecast. In this paper, the grey-time series analysis method was applied to forecast the annual runoff in CaiQi. This is a relatively new model, and it is a medium and long-term forecasting mathematical method of the traditional time series decomposition calculation combined with grey system theory. When calculated, the annual runoff time series is decomposed into 3 parts, trend item, periodic item and random item. Extrapolating to the future time according to the variation of each part, and then the forecast value is the sum of 3 parts. Among them, the trend item is calculated by the grey forecast method. Then based on above results, the predictions of the maximum economic benefit and the main crops’irrigation water at Hongyashan irrigation region under uncertainty in 2011-2020 were presented by solving the optimal allocation of water resources model under meteorological factor uncertainty in the irrigation area. The results indicated that the runoff forecast results were close to the measured values, and the eligible rate was 67.6%. This shows the applicability of the proposed method, but we also see that the prediction accuracy is not very high. This is because human activities have much influence on the runoff at Caiqi. It resulted in a large fluctuation of annual runoff. Moreover, in order to curb the reduction of runoff, a number of improvement measures have been adopted in recent years. So the runoff had a tendency to rebound after 2000 at Caiqi. These measures affected the accuracy of the prediction method. Moreover, effective measures for water-saving were necessary in arid areas. It could greatly improve the water use efficiency, and guarantee economic benefits. Compared to spring wheat, seed melon and honey dew melon, cotton had the biggest economic benefits by unit of water in the Hongyashan irrigation region, and the second was honey dew melon. So when the available water is lacking, in order to reduce the economic losses caused by lack of water for irrigation, the irrigation water of cotton and honey dew melon should be ensured first. This study can promote the practical application of the uncertain methods, reflect the complexity and uncertainty of the actual situation, and provide more reliable scientific bases for using water resources economically, fully improving irrigation efficiency, and keeping up the sustainable development of the irrigated area.