保障农村饮水安全的水价模式研究

合理的水价模式是实现农村饮水安全工程高效率和可持续运营的关键.当前我国正在进行水价改革,传统的水价制定方法只是基于单纯的成本分摊,忽视了用水者的需求行为,使水价不能真正起到优化配置水资源的作用.通过综合运用经济学、管理科学、水利科学、概率统计等基本理论,提出了农村饮水安全工程的非线性水价模式.     

基于博弈模型的水价策略与节水策略分析

在当前水资源浪费、用水效率较低的背景下,仍然有许多地区继续实行低水价政策,本文认为这是供水企业与用水企业以及政府水务部门相互博弈的结果。通过构建一个供水企业与用水企业的博弈模型,并采用演化博弈分析方法分析动态演化的结果,本文发现当前采用低水价的主要原因在于：供水企业制定水价时要同时考虑私人收益与公共节水收益,而高水价对经济产生的冲击成本不足以弥补高水价产生的公共节水收益与私人收益,从而导致有些地区供水企业不敢提高水价,一直采用低水价策略。进一步地,本文采用不完全信息动态博弈方法分析供水企业与政府关于水价的议定过程,发现提高水价对经济的冲击越大,且节水技术投入成本越大而节水的公共收益越小时,政府水务部门同意低水价的概率越大;反之,则同意高水价的概率越大。从博弈论的角度系统地分析了低水价产生的决策过程,可对提高水价、促进节约用水具有一定的指导意义。     

水价调整对农业种植结构及用水效率的影响研究以张掖市节水型社会建设试点为例

由于水资源的公共产品或准公共产品特性,导致水价在水资源管理中的作用未受到足够重视。水价作为调节流域水资源配置和利用的主要经济手段,是未来水资源管理的重要研究内容。以张掖市节水型社会建设试点(甘州区、临泽县、高台县)为例,根据1990—2013年该区域农业水价的变化情况,分析了水价调整对农业种植结构和用水效率的影响。结果表明:水价调整虽然未能使农业种植结构发生变化,但却提高了农业用水效率。     

浅议日本的自来水水价

介绍日本不同城市的两部分水费制的具体实施和“负担公平化和经营稳定化”宗旨以及供水行业支出费用的组成.日本的市民每个月的自来水水费支出数额占整个生活消费总数的比例呈缓慢上升趋势,随着水价逐年缓慢增长.日本的水价和水费管理模式以及上海最新提出的三级梯度水价规划方案值得借鉴与参考.     

打好水价改革“攻坚战”

近日,国家发展改革委、住房城乡建设部印发《关于加快建立完善城镇居民用水阶梯价格制度的指导意见》,部署全面实行城镇居民阶梯水价制度。2015年底前,设市城市原则上要全面实行居民阶梯水价制度,第一、二、三级阶梯水价按不低于1：1．5：3的比例安排,缺水地区应进一步加大价差。     

公共参与影响城市综合生态系统管理问题研究——以城市水定价为例

公共参与日益影响着一个城市的综合生态系统管理。水资源,作为生态系统的要素之一,其可持续利用与人们生活息息相关。本文以城市水定价为例,对公共参与影响成都水定价问题进行了分析,得出以下结论:(1)物价局应与水务企业保持绝对的独立,以保证听证流程的合法性与可信性;(2)生活用水和特殊行业用水水价调整听证会要引入公众监督机制;(3)应设定一定标准以保证代表的代表能力;(4)水价听证会要保证其他利益相关方的利益。     

改革水价制度实现水资源可持续利用

水资源开发利用的可持续性能否实现，已经成为我国社会经济可持续发展的重要问题，我国水资源利用效率低，浪费现象很严重，强化水资源管理将是强有力的措施之一。本文借鉴国外成熟的水价制度，对如何改革我国水价制度进行了探讨。     

东江流域水资源价格调控研究

运用水资源价值模糊数学模型计算出流域四大区间水资源价格,并对价格调整后的供水风险和水资源优化配置进行了分析.根据计算结果认为,水价的调整可以作为水利工程措施的一种有益补充,通过建立水市场,利用水价这一杠杆,实现水权的有偿转让,结合工程措施实施流域内调水能有效的降低区间供水风险.     

浅议污水处理市场化

简述了污水处理市场化的主要途径:投资多元化,理顺体制,完善水价,建立法规,选择工艺,利用中水和污泥。     

人水和谐——保护水生态系统：关于水资源保护生态补偿机制的思考

2008年8月,水利部负责人表示,今年年底,水价上涨将超过200%,以应对水资源短缺。目前,水资源短缺和水污染状况正在成为中国不得不面对的严峻生态危机之一。     

A METHOD FOR ESTIMATING PEAK WATER DEMAND OF MULTIFAMILY RESIDENCES1

ABSTRACT: The importance of estimating peak water demands for determining the dimensions of pipe size and meters which provide household water to multifamily residences is examined. Several methods utilized in North America and Europe are examined. The analysis makes clear the necessity of studying the peak water demand through statistics based on local data concerning multifamily residences. For different periods of return, the peak demand of a given apartment building is related to its size (the number of apartments) in order to compare the results obtained with existing formula. By use of Ridge-regression technique, the relationship between peak water demand, and building size (number of apartments) and available pressure is established. It can be concluded that peak demand can be estimated with the square root of number of apartment units in the building and the cube root of water pressure.     

The Palestinian water crisis

The Middle East is renowned as a water-scarce region. The severity of the problem in Palestine is not a result of climatic misfortune, however, but of regional water allocation and distribution of these resources, especially between Palestinians and Israelis. Palestinian water supplies are currently insufficient to satisfy demand, and are increasingly degraded. Projected increases in regional population and demand are high, making it urgent to come to grips with the water shortage. Any attempt at resolution should consider three related areas within a single integrated water management formula. First, attempts must be made to resolve allocation disputes, governed by principles of international water law; second, conservation and appropriate utilization of water must be emphasized; and third, supplies must be enhanced, either through water import or other means. Only if the water shortage is analysed in an integrated manner will it be possible to ensure full resolution of the Palestinian-Israeli hydropolitical dispute .     

Water Supply Planning Considering Uncertainties in Future Water Demand and Climate: A Case Study in an Illinois Watershed

Ensuring an adequate, reliable, clean, and affordable water supply for citizens and industries requires informed, long-range water supply planning, which is critically important for water security. A balance between water supply and demand must be considered for a long-term plan. However, water demand projections are often highly uncertain. Climate change could impact the hydrologic processes, and consequently, threaten water supply. Thus, understanding the uncertainties in future water demand and climate is critical for developing a sound water supply plan. In Illinois, regional water supply planning attempts to explore the impacts of future water demand and climate on water supply using scenario analyses and hydrologic modeling. This study is aimed at developing a water supply planning framework that considers both future water demand and climate change impacts. This framework is based on the Soil and Water Assessment Tool to simulate the watershed hydrology and conduct scenario analyses that consider the uncertainties in both future water demand and climate as well as their impacts on water supply. The framework was applied to water supply planning efforts in the Kankakee River watershed. The Kankakee River watershed model was calibrated and validated to observed streamflow records at four long-term United States Geological Survey streamflow gages. Because of the many model parameters involved, the calibration process was automated and was followed by a manual refinement, resulting in good model performance. Long-range water demand projections were prepared by the Illinois State Water Survey. Six future water demand scenarios were established based on a suite of assumptions. Climate scenarios were obtained from the Coupled Model Intercomparison Projection Phase 5 datasets. Three representative concentration pathways (RCPs), RCP2.6, RCP4.5, and RCP8.5, are used in the study. The scenario simulation results demonstrated that climate change appears to have a greater impact on water availability in the study area than water demand. The framework developed in this study can also be used to explore the impacts of uncertainties of water demand and climate on water supply and can be extended to other regions and watersheds.     

炼化废水中COD与BOD_5相关性的探讨

为了及时掌握炼化废水的BOD5值，因此对COD与BOD5之间的相关性进行了探讨试验；COD与BOD5的测定采用国家标准方法，连续20d，用最小二乘法计算COD与BOD5的相关关系式；通过相关式由COD值可求出当天相应的BOD5值，为及时调整污水处理设施提供依据。     

山东省生态环境需水量的探讨

根据生态系统的分类，分别计算了山东省植被生态环境需水量、河流生态环境需水量、湖泊生态环境需水量、水库生态环境需水量和城市生态环境需水量，山东省生态环境需水量为上述各类型生态环境需水量之和。计算结果表明，山东省2000～2005年生态环境需水总量为342．64～345．01亿m^3。山东省2000～2005年生态环境需水保证率均小于50％，生态环境用水无法得到保证，且丰枯年份之间变化明显。     

Quantifying the influence of environmental and water conservation attitudes on household end use water consumption

Within the research field of urban water demand management, understanding the link between environmental and water conservation attitudes and observed end use water consumption has been limited. Through a mixed method research design incorporating field-based smart metering technology and questionnaire surveys, this paper reveals the relationship between environmental and water conservation attitudes and a domestic water end use break down for 132 detached households located in Gold Coast city, Australia. Using confirmatory factor analysis, attitudinal factors were developed and refined; households were then categorised based on these factors through cluster analysis technique. Results indicated that residents with very positive environmental and water conservation attitudes consumed significantly less water in total and across the behaviourally influenced end uses of shower, clothes washer, irrigation and tap, than those with moderately positive attitudinal concern. The paper concluded with implications for urban water demand management planning, policy and practice.     

System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts

Accurate prediction of municipal water demand is critically important to water utilities in fast-growing urban regions for drinking water system planning, design, and water utility asset management. Achieving the desired prediction accuracy is challenging, however, because the forecasting model must simultaneously consider a variety of factors associated with climate changes, economic development, population growth and migration, and even consumer behavioral patterns. Traditional forecasting models such as multivariate regression and time series analysis, as well as advanced modeling techniques (e.g., expert systems and artificial neural networks), are often applied for either short- or long-term water demand projections, yet few can adequately manage the dynamics of a water supply system because of the limitations in modeling structures. Potential challenges also arise from a lack of long and continuous historical records of water demand and its dependent variables. The objectives of this study were to (1) thoroughly review water demand forecasting models over the past five decades, and (2) propose a new system dynamics model to reflect the intrinsic relationship between water demand and macroeconomic environment using out-of-sample estimation for long-term municipal water demand forecasts in a fast-growing urban region. This system dynamics model is based on a coupled modeling structure that takes into account the interactions among economic and social dimensions, offering a realistic platform for practical use. Practical implementation of this water demand forecasting tool was assessed by using a case study under the most recent alternate fluctuations of economic boom and downturn environments.     

WATER SUPPLY OPTIONS IN A NEW MEXICO WATER PLANNING REGION1

ABSTRACT: The population in the Jemez y Sangre Water Planning Region of New Mexico has reached the point at which the demand for water exceeds available supplies, particularly when precipitation is below average, as has frequently occurred in recent years. The desire to develop a sustainable water supply that relies on renewable supplies in wet years and preserves the water in storage for times of drought motivated a diverse set of stakeholders in the region to participate in regional water planning. The planning effort culminated in development of the Jemez y Sangre Regional Water Plan, which was adopted by municipal and county governments in the region. The plan assesses and compares water supply and demand in the region and recommends alternatives for protecting and restoring the existing water supply and addressing the pending gap between supply and demand anticipated by the year 2060. To convey to decision makers the alternatives available to solve the future water shortage, option charts were developed to portray the amount of water that could be obtained or conserved through their implementation. The option charts show that the projected gap between supply and demand cannot be met through one alternative only, but will require a combination of alternatives.     

Water,Adaptation, and Property Rights on the Snake and Klamath Rivers1

Abstract: Water demand in a viable economy tends to be dynamic: it changes over time in response to growth, drought, and social policy. Institutional capacity to re‐allocate water between users and uses under stress from multiple sources is a key concern. Climate change threatens to add to those stresses in snowmelt systems by changing the timing of runoff and possibly increasing the severity and duration of drought. This article examines Snake and Klamath River institutions for their ability to resolve conflict induced by demand growth, drought, and environmental constraints on water use. The study finds that private ownership of water rights has been a major positive factor in successful adaptation, by providing the basis for water marketing and by promoting the use of negotiation and markets rather than politics to resolve water conflict.     

Smart meters for enhanced water supply network modelling and infrastructure planning

To design water distribution network infrastructure, water utilities formulate daily demand profiles and peaking factors. However, traditional methods of developing such profiles and peaking factors, necessary to carry out water distribution network modelling, are often founded on a number of assumptions on how top-down bulk water consumption is attributed to customer connections and outdated demand information that does not reflect present consumption trends; meaning infrastructure is often unnecessarily overdesigned. The recent advent of high resolution smart water meters allows for a new novel methodology for using the continuous ‘big data’ generated by these meter fleets to create evidence-based water demand curves suitable for use in network models. To demonstrate the application of the developed method, high resolution water consumption data from households fitted with smart water meters were collected from the South East Queensland and Hervey Bay regions in Australia. Average day (AD), peak day (PD) and mean day maximum month (MDMM) demand curves, often used in water supply network modelling, were developed from the herein created methodology using both individual end-use level and hourly demand patterns from the smart meters. The resulting modelled water demand patterns for AD, PD and MDMM had morning and evening peaks occurring earlier and lower main peaks (AD: 12%; PD: 20%; MDMM: 33%) than the currently used demand profiles of the regions’ water utility. The paper concludes with a discussion on the implications of widespread smart water metering systems for enhanced water distribution infrastructure planning and management as well as the benefits to customers.