本文選題：淮河流域 + 火電行業(yè)　； 參考：《合肥工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著社會經(jīng)濟(jì)的高速發(fā)展,水資源的供需矛盾日益突出,逐漸成為了制約地區(qū)經(jīng)濟(jì)社會可持續(xù)發(fā)展的重要因素之一。作為水資源管理的重要內(nèi)容,制定科學(xué)合理的用水定額是解決水資源供需矛盾有效手段的重要一環(huán)。本文以淮河流域用水定額評估項(xiàng)目為依托,對淮河流域火電行業(yè)用水定額進(jìn)行綜合評估,以期為相關(guān)省份的用水定額修訂提供參考。本文以區(qū)域用水定額評估技術(shù)要求及淮河流域火電行業(yè)用水資料為基礎(chǔ),結(jié)合相關(guān)專家的意見,從覆蓋性、合理性、先進(jìn)性及實(shí)用性四個(gè)方面選取了17項(xiàng)指標(biāo),然后構(gòu)建了多層次模糊綜合評價(jià)、基于云模型改進(jìn)的多層次模糊綜合評價(jià)和多層次灰色關(guān)聯(lián)度綜合評價(jià)三個(gè)模型。在利用AHP法求得各指標(biāo)的權(quán)重的基礎(chǔ)上將模型應(yīng)用于淮河流域火電行業(yè)用水定額評估中,分別從用水定額綜合水平和“四性”水平得出評估結(jié)果。將基于云模型改進(jìn)的多層次模糊綜合評價(jià)法的評估結(jié)果分別與另外兩種方法對比驗(yàn)證,經(jīng)過驗(yàn)證,得到基于云模型改進(jìn)的多層次模糊綜合評估結(jié)果合理、可靠的結(jié)論。根據(jù)評估結(jié)果,本文利用屬性識別原理判斷出河南、安徽、江蘇及山東四省火電行業(yè)用水定額綜合水平等級分別為良好、中等、中等和良好,然后,分別從覆蓋性、合理性、先進(jìn)性和實(shí)用性四個(gè)方面指出各省火電行業(yè)用水定額存在的問題。本文首次將基于云模型改進(jìn)的多層次模糊綜合評價(jià)法應(yīng)用于火電行業(yè)用水定額評估中,鑒于方法的可操作性以及評估結(jié)果的合理、可靠性,該方法可作為用水定額綜合評估的推薦方法采用。
[Abstract]:With the rapid development of social economy, the contradiction between supply and demand of water resources is becoming more and more prominent, which has gradually become one of the important factors restricting the sustainable development of regional economy and society. As an important content of water resources management, it is an important part of solving the contradiction between water supply and demand to establish scientific and reasonable water use quota. Based on the water quota evaluation project of Huaihe River Basin, this paper makes a comprehensive evaluation of the water use quota for the thermal power industry in the Huaihe River Basin, in order to provide a reference for the revision of the water use quota in the relevant provinces. Based on the technical requirements of regional water quota evaluation and the water use data of the thermal power industry in the Huaihe River Basin, this paper selects 17 indexes from four aspects of coverage, rationality, advancement and practicability, combined with the opinions of relevant experts. Then the multi-level fuzzy comprehensive evaluation, the multi-level fuzzy comprehensive evaluation based on cloud model and the multi-level grey relational degree comprehensive evaluation are constructed. On the basis of using AHP method to get the weight of each index, the model is applied to the evaluation of the water quota of the thermal power industry in the Huaihe River basin, and the evaluation results are obtained from the comprehensive level of the water quota and the level of "four properties" respectively. The evaluation results of the improved multi-level fuzzy comprehensive evaluation method based on cloud model are compared with the other two methods respectively. After verification, a reasonable and reliable result of multi-level fuzzy comprehensive evaluation based on the improved cloud model is obtained. According to the evaluation results, this paper uses the attribute recognition principle to judge that the comprehensive level of water use quota of thermal power industry in Henan, Anhui, Jiangsu and Shandong provinces is good, moderate and good respectively. This paper points out the problems of water quota in thermal power industry in four aspects of advanced nature and practicability. In this paper, the improved multi-level fuzzy comprehensive evaluation method based on cloud model is applied to the evaluation of water consumption quota for thermal power industry for the first time. In view of the maneuverability of the method and the rationality and reliability of the evaluation results, This method can be used as a recommended method for comprehensive evaluation of water use quota.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TV213.4;TM611

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