Showing papers in "Water Resources Management in 2011"

Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques

Abstract: Remote sensing (RS) and geographic information system (GIS) are promising tools for efficient planning and management of vital groundwater resources, especially in data-scarce developing nations. In this study, a standard methodology is proposed to delineate groundwater potential zones using integrated RS, GIS and multi-criteria decision making (MCDM) techniques. The developed methodology is demonstrated by a case study in Udaipur district of Rajasthan, western India. Initially, ten thematic layers, viz., topographic elevation, land slope, geomorphology, geology, soil, pre- and post-monsoon groundwater depths, annual net recharge, annual rainfall, and proximity to surface water bodies were considered in this study. These thematic layers were scrutinized by principal component analysis technique to select influential layers for groundwater prospecting. Selected seven thematic layers and their features were assigned suitable weights on the Saaty’s scale according to their relative importance in groundwater occurrence. The assigned weights of the thematic layers and their features were then normalized by using AHP (analytic hierarchy process) MCDM technique and eigenvector method. Finally, the selected thematic maps were integrated by weighted linear combination method in a GIS environment to generate a groundwater potential map. Thus, four groundwater potential zones were identified and demarcated in the study area, viz., ‘good’, ‘moderate’, ‘poor’ and ‘very poor’ based on groundwater potential index values. The area falling in the ‘good’ zone is about 2,113 km2 (17% of the total study area), which encompasses major portions of Sarada, Salumber, Girwa, Dhariawad, and Mavli blocks of the study area. The northeast and southwest portions along with some scattered patches fall in the ‘moderate’ zone, which encompasses an area of 3,710 km2 (about 29%). The ‘poor’ zone is dominant in the study area which covers an area of 4,599 km2 (36% of the total area). The western portion and parts of eastern and southeast portions of the study area are characterized as having ‘very poor’ groundwater potential, and this zone covers an area of 2,273 km2 (18%). Moreover, in the ‘good’ zone, the mean annually exploitable groundwater reserve is estimated at 0.026 million cubic metres per km2 (MCM/km2), whereas it is 0.024 MCM/km2 in the ‘moderate’ zone, 0.018 MCM/km2 in the ‘poor’ zone, and 0.013 MCM/km2 in the ‘very poor’ zone. The groundwater potential map was finally verified using the well yield data of 39 pumping wells, and the result was found satisfactory.

Maturing the New Water Management Paradigm: Progressing from Aspiration to Practice

Abstract: Over the past decade a series of major revisions to the generation and use of knowledge in the context of natural resources management has started to undermine basic assumptions on which traditional approaches to water management were based. Limits to our ability to predict and control water systems have become evident and both complexity and human dimensions are receiving more prominent consideration. Many voices in science and policy have advocated a paradigm shift in water management—both from a normative (it should happen) and a descriptive (it happens, and how) perspective. This paper summarizes the major arguments that have been put forward to support the need for a paradigm shift and the direction it might take. Evidence from the fields of science, policy, and management is used to demonstrate a lacuna in the translation of political rhetoric into change at the operational level. We subsequently argue that learning processes and critical reflection on innovative management approaches is a central feature of paradigm change and that contributions from psychology which emphasise the roles of frames and mental models can be usefully applied to paradigm change processes. The paper concludes with recommendations to facilitate debate and test alternative approaches to scientific inquiry and water management practice leading to critical reflection and analysis.

A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China

Abstract: Floods, the most common natural hazard in the world, cause serious loss in terms of lives, buildings, and infrastructures. As a consequence, the need for flood risk assessment has become critical. Using a semi-quantitative model and fuzzy analytic hierarchy process (FAHP) weighting approach, this paper assessed flood risk in the Dongting Lake region, Hunan Province, Central China, an area where flood hazards frequently occur. The model was designed using spatial multi-criteria analysis (SMCA) techniques in a Geographic Information System (GIS). A GIS database of indicators for the evaluation of hazard and vulnerability was created. Each indicator was analyzed, standardized, and weighted; after which, the weights of the indicators were combined to obtain the final flood risk index map. Using the flood risk index, the study area was classified into five categories of flood risk: very low, low, medium, high, and very high. The high and very high risk zones are mainly concentrated in the northern and central plains. The results obtained can provide useful information for decision makers and insurance companies.

Corporate Water Footprint Accounting and Impact Assessment: The Case of the Water Footprint of a Sugar-Containing Carbonated Beverage

Abstract: All water use in the world is ultimately linked to final consumption by consumers. It is therefore interesting to know the specific water requirements of various consumer goods, particularly the water-intensive ones. This information is relevant not only for consumers, but also for food processors, retailers, and traders. The objective of this paper is to carry out a pilot study on water footprint accounting and impact assessment for a hypothetical sugar-containing carbonated beverage in a 0.5 l PET-bottle produced in a hypothetical factory that takes its sugar alternatively from sugar beet, sugar cane and high fructose maize syrup and from different countries. The composition of the beverage and the characteristics of the factory are hypothetical but realistic. The data assumed have been inspired by a real case. This paper does not only look at the water footprint of the ingredients of the beverage, but also at the water footprint of the bottle, other packaging materials and construction materials, paper and energy used in the factory. Although most companies focus on their own operational performance, this paper shows that it is important to consider freshwater usage along the supply chain. The water footprint of the beverage studied has a water footprint of 150 to 300 l of water per 0.5 l bottle, of which 99.7–99.8% refers to the supply chain. The study also shows that agricultural ingredients that constitute only a small fraction in weight of the final product have the biggest share at the total water footprint of a product.

Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models

Abstract: Forecasting precipitation as a major component of the hydrological cycle is of primary importance in water resources engineering, planning and management as well as in scheduling irrigation practices. In the present study the abilities of hybrid wavelet-genetic programming [i.e. wavelet-gene-expression programming, WGEP] and wavelet-neuro-fuzzy (WNF) models for daily precipitation forecasting are investigated. In the first step, the single genetic programming (GEP) and neuro-fuzzy (NF) models are applied to forecast daily precipitation amounts based on previously recorded values, but the results are very weak. In the next step the hybrid WGEP and WNF models are used by introducing the wavelet coefficients as GEP and NF inputs, but no satisfactory results are produced, even though the accuracies increased to a great extent. In the third step, the new WGEP and WNF models are built; by merging the best single and hybrid models’ inputs and introducing them as the models inputs. The results show the new hybrid WGEP models are effective in forecasting daily precipitation, while the new WNF models are unable to learn the non linear process of precipitation very well.

Changes of Pan Evaporation in the West of Iran

Abstract: Evaporation is an important component of the hydrological cycle and its change would be of great significance for water resources planning, irrigation control and agricultural production. The main purpose of this study was to investigate temporal variations in pan evaporation (Epan) and the associated changes in maximum (Tmax), mean (Tmean) and minimum (Tmin) air temperatures and precipitation (P) for 12 stations in Hamedan province in western Iran for the period 1982–2003. Significant trends were identified using the Mann–Kendall test, the Sen’s slope estimator and the linear regression. Analysis of the Epan data revealed a significant increasing trend in 67% of the stations at the 95% and 99% confidence levels. To put the changes in perspective, the trend in Epan averaged over all 12 stations was (+)160 mm per decade. Trend analysis of the meteorological variables for examination of causal mechanisms for Epan changes showed warming trends in Tmax, Tmean and Tmin series in almost all the stations, which were significant over half of the total stations. On the contrary, no significant changes in precipitation were found approximately at all of the stations. Furthermore, a moderate positive correlation was observed between Epan and Tmax, Tmean and Tmin, while a inverse correlation was found between Epan and P data. The results indicated that the study area has become warmer and drier over the last 22 years, hence the evaporative demands of the atmosphere and thereby crop water requirements have increased.

Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System

Abstract: Water resource systems, with an abundance of project purposes and resource values, are subject to conflicting policy, planning, and management decisions. Multi-criteria decision making methods (MCDM) provide a framework to help water managers identify critical issues, attach relative priorities to those issues, select best compromise alternatives, and facilitate communication to gain general acceptance. This paper addresses a method that incorporates several system factors/components within a general framework for providing a holistic analysis of the problems and comprehensive evaluation of the related mitigation/adaptation measures and policy responses. The method accounts for uncertainties in both the quantification and importance of objectives in the ranking process. The proposed fuzzy multi-criteria decision making process uses the well known Technique for Order Preference by Similarity of Ideal Solution (TOPSIS) method in both deterministic and uncertain environments. The performance of the proposed approach to a real water resource management problem in Iran is illustrated. Results show that the model may be used in a large-scale multi-level assessment process. Ranks of the alternatives are presented using deterministic and fuzzy based models.

Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran

Abstract: Drought is one of the most important natural hazards in Iran and frequently affects a large number of people, causing tremendous economic losses, environmental damages and social hardships. Especially, drought has a strong impact on water resources in Iran. This situation has made more considerations toward the study and management of drought. The present study is focused on two important indices; SPI and RDI, for 3, 6, 9, 12, 18 and 24 months time scales in 40 meteorological synoptic stations in Iran. In the case of RDI computation, potential evapotranspiration was an important factor toward drought monitoring. So, evapotranspiration was calculated by Penman-Monteith equation. The correlation of RDI and SPI was also surveyed. Drought severity maps for SPI and RDI were also presented in the driest year (1999–2000). The present results have shown that the correlation of SPI and RDI was more considerable in the 3, 6 and 9 months than longer time scales. Furthermore, drought severity maps have shown that during 1999–2000, the central, eastern and south-eastern parts of Iran faced extremely dry conditions. While, according to SPI and RDI trends, other parts of the country suffered from severe drought. The SPI and RDI methods showed approximately similar results for the effect of drought on different regions of Iran. Since, RDI resolved more climatic parameters, such as evapotranspiration, into account which had an important role in water resource losses in the Iranian basins, it was worthwhile to consider RDI in drought monitoring in Iran, too.

Non-Cooperative Stability Definitions for Strategic Analysis of Generic Water Resources Conflicts

Abstract: In game theory, potential resolutions to a conflict are found through stability analysis, based on stability definitions having precise mathematical structures. A stability definition reflects a decision maker’s behavior in a conflict or game, predicts how the game is played, and suggests the resolutions or equilibria of the dispute. Various stability definitions, reflecting different types of people with different levels of foresight, risk attitude, and knowledge of opponents’ preferences, have been proposed for resolving games. This paper reviews and illustrates six stability definitions, applicable to finite strategy strategic non-cooperative water resources games, including Nash Stability, General Metarationality (GMR), Symmetric Metarationality (SMR), Sequential Stability (SEQ), Limited-Move Stability, and Non-Myopic Stability. The introduced stability definitions are applied to an interesting and highly informative range of generic water resources games to show how analytical results vary based on the applied stability definitions. The paper suggests that game theoretic models can better simulate real conflicts if the applied stability definitions better reflect characteristics of the players. When there is a lack of information about the types of decision makers, the employment of a range of stability definitions might improve the strategic results and provide useful insights into the basic framework of the conflict and its resolution.

Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones

Abstract: Comparability analyses are performed to investigate similarities/differences of the standard precipitation index (SPI) and the reconnaissance drought index (RDI), respectively, utilizing precipitation and ratio of precipitation over potential evapotranspiration (ET0). Data are from stations with different climatic conditions in Iran. Drought characteristics of the 3-month, 6-month and annual SPI and RDI time series are developed and Markov chain order dependencies are investigated by the Log-likelihood, AIC and BIC tests. Steady state probabilities and Markov chain characteristics, i.e., expected residence time in different drought classes and time to reach “Near Normal” class are investigated. According to results, both indices exhibit an overall similar behaviour; particularly, they follow the first order Markov chain dependency. However, climatic variability may produce some differences. In several cases, the “Extremely Dry” class has received a more critical value by RDI. Furthermore, the expected residence time of “Near Normal” class and expected time to reach “Near Normal” class are quite different in a number of cases. The results show that the RDI by utilizing the ET0 can be very sensitive to climatic variability. This is rather important, since if the drought analyses are for agricultural applications, utilization of the RDI would seem to serve a better purpose.

Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs

Abstract: Operating rule curves have been widely applied to reservoir operation, due to their ease of implementation. However, these curves are generally used for single reservoirs and have rarely been applied to cascade reservoirs. This study was conducted to derive joint operating rule curves for cascade hydropower reservoirs. Steps in the proposed methodology include: (1) determining the optimal release schedule using dynamic programming to solve a deterministic long-term operation model, (2) identifying the forms of operating rule curves suitable for cascade hydropower reservoirs based on the optimal release schedule, (3) constructing a simulation-based optimization model and then using the non-dominated sorting genetic algorithm-II (NSGA-II) to identify the key points of the operating rule curves, (4) testing and verifying the efficiency of the generated joint operating rule curves using synthetic inflow series. China’s Qing River cascade hydropower reservoirs (the Shuibuya, Geheyan and Gaobazhou reservoirs) were selected for a case study. When compared with the conventional operating rule curves, the annual power generation can be increased by 2.62% (from 7.27 to 7.46 billion kWh) using the observed inflow from 1951 to 2005, as well as by about 1.77% and 2.52% using the synthetic inflows generated from two alternative hydrologic simulation methods. Linear operating rules were also implemented to simulate coordinated operation of the Qing River cascade hydropower reservoirs. The joint operating rule curves were more efficient and reliable than conventional operating rule curves and linear operating rules, indicating that the proposed method can greatly improve hydropower generation and work stability.

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Abstract: Water utilities particularly in the developing countries continue to operate with considerable inefficiencies in terms of water and revenue losses. With increasing water demand and scarcity, utilities require effective strategies for optimum use of available water resources. Diverse water loss reduction options exist. Deciding on which option to choose amidst conflicting multiple criteria and different interests of stakeholders is a challenging task. In this paper, an integrated multi-criteria decision-aiding framework for strategic planning of water loss management is presented. The PROMETHEE II method was applied within the framework in prioritizing water loss reduction options for Kampala city. A strategic plan that combines selective mains and service lines replacement and pressure management as priorities is the best compromise based on preferences of the decision makers and seven evaluation criteria characterized by financial-economic, environmental, public health, technical and social impacts. The results show that the most preferred options are those that enhance water supply reliability, public health and water conservation measures. This study demonstrates how decision theory coupled with operational research techniques could be applied in practice to solve complex water management and planning problems.

Assessment of Water Resources Carrying Capacity in Tianjin City of China

Abstract: Regional sustainable development is an important focus on natural resources management, and also is a critical requirement for socio-economic system’s sustainability. Water resource is one of the most important supports for the sustainable development of society and economy. The study proposed the concept of water resources carrying capacity (WRCC) to assess the scale of economy and population that the local water resources can support. And the study took Tianjin city of China for an example, and its population size and economic scale were chosen as two main indices. Based on the historical statistical datum, the carrying index (CI) and index of water supply–demand balance (IWSD) were evaluated, and then the current WRCC in Tianjin city and its dynamic tendency were evaluated by means of the method of carrying capacity of relative resources (CCRR). The results showed that the utilization of water resources in Tianjin is inefficient for now, the dynamic trend would be partly rational after the protection policy of water resource was put into practice in 2010 and 2020, and the WRCC of Tianjin city went beyond the average WRCC of China and was roughly equal to that of Beijing city. This paper showed that the rational policies and measures should be established and implemented to make sure utilize water resources efficiently in Tianjin city.

Political and Professional Agency Entrapment: An Agenda for Urban Water Research

Abstract: The many societal benefits provided by traditional, centralised urban water servicing models are being re-examined following recent extreme weather events, climate uncertainty and other variable socio-technical trends. Total water cycle management offers a more flexible and resilient approach to urban water management, however, transformative change in the sector is difficult. A growing number of scholars have identified that the urban water sector is locked-in to the current large-scale, centralised infrastructure model and suggest the sector is unable to accommodate new technologies and management approaches beyond niche projects. Based on extensive socio-institutional research and example cases from Australian and United Kingdom experiences managing urban water under pressures such as modern environmentalism, prolonged water scarcity and sewerage overflows, this paper provides a commentary on common factors exhibited in both countries related to technological path dependency. Three key factors promoting this pathway: political risk, professional agency fear and a lack of a hybrid governance approach are discussed and a future scholarly research agenda is presented.

A Water Balance Derived Drought Index for Pinios River Basin, Greece

Abstract: This study estimates hydrological drought characteristics using a water balance derived drought index in Pinios river basin, Thessaly, Greece. The concept of hydrological management at subwatershed scale has been adopted because it encompasses the areal extent of a drought event. Fourteen (14) sub-watersheds of Pinios river basin were delineated according to the major tributaries of Pinios river using GIS. For the assessment of hydrological drought, because none of the sub-watersheds have flow gauge stations at their outlets, a six-parameter monthly conceptual water balance model (UTHBAL model), has been applied regionally to simulate runoff for the period October 1960–September 2002. The synthetic runoff was normalized through Box-Cox transformation and standardized to the mean runoff to produce the water balance derived drought index for hydrological drought assessment. The standardized precipitation index (SPI) at multiple time scales and four indices of the Palmer method (i.e. PDSI, WPLM, PHDI and the Palmer moisture anomaly Z-index) were also calculated to assess hydrological droughts. The results showed that the water balance derived drought index is a good indicator of hydrological drought in all sub-watersheds, since is capable to quantify drought severity and duration. Furthermore, the drought index provides guidance on the selection of an appropriate meteorological drought index for operational hydrological drought monitoring. Hence, SPI at 3- and 6-month timescales and the WPLM could be used along with the water balance derived drought index in risk and decision analyses at the study area.

A Cost-Effective Method to Control Seawater Intrusion in Coastal Aquifers

Abstract: Intrusion of seawater into coastal aquifers is considered one of the most important processes that degrade water-quality by raising the salinity to levels exceeding acceptable drinking standards. Therefore saltwater intrusion should be prevented or at least controlled to protect groundwater resources. This paper presents a cost-effective method to control seawater intrusion in coastal aquifers. This methodology ADR (Abstraction, Desalination and Recharge) includes; abstraction of saline water and recharge to the aquifer after desalination. A coupled transient density-dependent finite element model is developed for simulation of fluid flow and solute transport and used to simulate seawater intrusion. The simulation model has been integrated with an optimization model to examine three scenarios to control seawater intrusion including; abstraction, recharge and a combination system, ADR. The main objectives of the models are to determine the optimal depths, locations and abstraction/recharge rates for the wells to minimize the total costs for construction and operation as well as salt concentrations in the aquifer. A comparison between the combined system (ADR) and the individual abstraction or recharge system is made in terms of total cost and total salt concentration in the aquifer and the amount of repulsion of seawater achieved. The results show that the proposed ADR system performs significantly better than using abstraction or recharge wells alone as it gives the least cost and least salt concentration in the aquifer. ADR is considered an effective tool to control seawater intrusion and can be applied in areas where there is a risk of seawater intrusion.

Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin

Abstract: The irrigation districts of the upper Yellow River basin are highly productive agricultural areas of North China. Due to the severe water scarcity, application of water-saving practices at both farm and district levels are required for sustainable agricultural development. An integrated methodology was developed adopting loose coupling of the groundwater flow model MODFLOW with ArcInfo Geographic Information System to assess the impacts of irrigation water-saving practices and groundwater abstraction foreseen for the year of 2020 on the groundwater dynamics of the Jiefangzha Irrigation System (JFIS) in Hetao Irrigation District, upper Yellow River basin. The model was calibrated and validated with datasets of years 2004 and 2005; the model efficiency EF was respectively 0.98 for calibration and 0.99 for validation. Results of the simulation of the groundwater dynamics of the study area show that water-saving practices referring to canal lining and upgrading hydraulic structures applied in 60% of the area, and upgraded farm irrigation technology in 50% of the area may consist of a reasonable solution. Their implementation would lead to reduce groundwater evaporation by 43 mm and the total diversions from the Yellow River by 208 mm, i.e. about 20% of present volumes diverted. Most of routines and strategies for model construction may also be used for other regions, especially for irrigation districts in the upper Yellow River basin.

Regional Frequency Analysis of Droughts in Portugal

Abstract: This study investigated the frequency of droughts for the period September 1910 to October 2004 in mainland Portugal, based on monthly precipitation data from 144 rain gauges distributed across the country. The drought events were characterized using the standardized precipitation index (SPI) applied to time scales of 1, 3, 6 and 12 consecutive months. Based on the SPI time scale series a regional frequency analysis of drought magnitudes was undertaken using two approaches: annual maximum series (AMS) and partial duration series (PDS). Three spatially defined regions (north, central and south) were identified by cluster analysis and analyzed for homogeneity. Maps of drought magnitude were developed using a kriging technique for several return periods. Similar uniform spatial patterns were found throughout the country using the AMS and PDS approaches. For several SPI time scales a comparison of the observed and estimated maximum magnitude (269-year empirical return period) showed that the AMS combined with the selected probability distribution models (Pearson type III, general Pareto and Kappa) provided better results than the PDS approach combined with the same models. A general and simplified characterization of drought duration revealed a relatively uniform pattern of droughts events across the country.

Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams

Abstract: This paper presents a genetic programming (GP) approach to predict the longitudinal dispersion coefficients in natural streams. Published data were compiled from the literature for the dispersion coefficient for a wide range of flow conditions, and they were used for the development and testing of the proposed method. The proposed GP approach produced excellent results (R2 = 0.98 and RMSE = 0.085) compared to the existing predictors (Rajeev and Dutta, Hydrol Res 40(6):544–552, 2009, R2 = 0.345 and RMSE = 1778.6) for dispersion coefficient.

Impact of Urbanization on the Hydrology of Ganga Basin (India)

Abstract: Large scale emigrations from rural areas to urban areas and population growth have been uninterrupted and accelerating phenomena in parts of Ganga basin, where urbanization is increasing at an unprecedented rate. Urban agglomer- ation is causing radical changes in groundwater recharge and modifying the existing mechanisms. Majority of the cities are sited on unconfined or semi confined aquifers depend upon river water and groundwater for most of their water supply and disposal of most of their liquid effluents and solid residues to the rivers and ground. There has also been an inevitable rise in waste production. Drainage of surface water has been disrupted as the small natural channels and low lying areas have been in filled, often with municipal waste. Total water potential of the Ganga basin including surface water potential and ground water potential is around 525.02 km 3 and 170.00 km 3 respectively. Basin supports approximately 42% of the total population in India. Water tables are declining at approximately an average of 0.20 m per year in many parts of the basin and there is a trend of deteriorating groundwater quality. The demand of water has been increased many folds and most of the areas are highly reliant upon the groundwater to meet this increasing demand for water, but unfortunately degradation of groundwater both in terms of quantity and quality has deteriorated the situation. Studies shows that change in climate may increase temperature by 2t o 6 ◦ C and can reduce precipitation up to 16%, which could reduce the groundwater recharge by 50%. In densely populated Ganga basin urban drainage consumes a high proportion of the investments into urban infrastructure and needs integrated approach for the sustainable development of water management, water education regarding conservation and pollution caused by urbanization.

Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model

Abstract: Already declining water availability in Huaihe River, the 6th largest river in China, is further stressed by climate change and intense human activities. There is a pressing need for a watershed model to better understand the interaction between land use activities and hydrologic processes and to support sustainable water use planning. In this study, we evaluated the performance of SWAT for hydrologic modeling in the Xixian River Basin, located at the headwaters of the Huaihe River, and compared its performance with the Xinanjiang (XAJ) model that has been widely used in China. Due to the lack of publicly available data, emphasis has been put on geospatial data collection and processing, especially on developing land use-land cover maps for the study area based on ground-truth information sampling. Ten-year daily runoff data (1987–1996) from four stream stations were used to calibrate SWAT and XAJ. Daily runoff data from the same four stations were applied to validate model performance from 1997 to 2005. The results show that both SWAT and XAJ perform well in the Xixian River Basin, with percentage of bias (PBIAS) less than 15%, Nash-Sutcliffe efficiency (NSE) larger than 0.69 and coefficient of determination (R2) larger than 0.72 for both calibration and validation periods at the four stream stations. Both SWAT and XAJ can reasonably simulate surface runoff and baseflow contributions. Comparison between SWAT and XAJ shows that model performances are comparable for hydrologic modeling. For the purposes of flood forecasting and runoff simulation, XAJ requires minimum input data preparation and is preferred to SWAT. The complex, processes-based SWAT can simultaneously simulate water quantity and quality and evaluate the effects of land use change and human activities, which makes it preferable for sustainable water resource management in the Xixian watershed where agricultural activities are intensive.

Appreciating Institutional Complexity in Water Governance Dynamics: A Case from the Murray-Darling Basin, Australia

Abstract: Water managing systems are becoming more complex as new institutional arrangements are created in response to a changing climate. Our inquiry centred on the ‘water managing system’ within a nested set of Australian water governance regimes, including relevant local, regional, state and national governance regimes. New institutions in national and state systems, seemingly intended to reduce complexity through centralisation or integration, only increase complexity by adding to the existing mix of institutional arrangements. This complexity can reduce the effectiveness of water managing organisations by increasing administrative burden, creating high costs of entry for new staff and leading to confusion in communications with external stakeholders. Regional water managers deal with this complexity by drawing on relational capital built from long-term engagement in the water managing system. However, relational capital is difficult to build and easy to destroy, thus this ‘soft’ capacity is under threat from shifts in decision making power and of resources out of regional water governance systems. Institutional innovation is therefore required to create opportunities to build relational capital in order to effectively manage natural resources at the regional level as coupled socio-ecological systems.

Gene-Expression Programming for the Development of a Stage-Discharge Curve of the Pahang River

Abstract: This study presents Gene-Expression Programming (GEP), an extension of Genetic Programming (GP), as an alternative approach to modeling the stage-discharge relationship for the Pahang River. The results are compared to those obtained by more conventional methods, i.e., the stage rating curve (SRC) and regression techniques. Additionally, the explicit formulations of the developed GEP models are presented. The performance of the GEP model was found to be substantially superior to both GP and the conventional models.

Value of Irrigation Water in Guadalquivir Basin (Spain) by Residual Value Method

Abstract: This paper presents an application of residual value techniques to the economic analysis of irrigation water at the basin level for the Guadalquivir River (Southern Spain). The methodology is simple; the results are robust and consistent with alternative method findings. The average residual value in the basin is 0.31 €/m3 and according to the to Residual Value Method, the distribution of total Gross Value Added (GVA) of irrigated land is distributed between the different factors of production as follows: (i) water, 62% of GVA; (ii) land, 20% GVA (from rain-fed productivity), (iii) return to man-made capital, 5% GVA; and finally (iv) the pair ‘management + family-labour’ gets 13% of total irrigation GVA. The paper illustrates the use of this method for the whole basin and it shows that it may offer promise for supporting sustainable water management at the basin (or the local) scale. It may be used for the implementation of the Water Framework Directive.

Small Amplitude Sharp Pressure Waves to Diagnose Pipe Systems

Abstract: In this paper the possibility of using transient tests, generated by the Portable Pressure Wave Maker (PPWM) device, as a powerful tool in the management of pipe systems, is demonstrated. Specifically, tests carried out in different experimental set-ups at the Water Engineering Laboratory of the University of Perugia, Italy show that small amplitude sharp pressure waves produced by the PPWM allow to locate and evaluate the entity of anomalies, such as leaks, illegal branches, partial blockages, and negligently partially closed in-line valves. To improve the precision of localization of anomalies, arrival times of pressure waves are detected by means of wavelet analysis. Simple relations based on the water hammer theory are proposed to evaluate the entity of the anomalies.

Optimization of Multireservoir Systems by Genetic Algorithm

Abstract: Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem with a known global optimum. Three reservoirs in the Colorado River Storage Project were optimized for maximization of energy production. Besides, a real-time approach utilizing a blend of online and a posteriori data was proposed. The results obtained were compared to the real operational data and genetic algorithm was found to be effective and can be utilized as an alternative technique to other traditional optimization techniques.

Singular Spectrum Analysis and ARIMA Hybrid Model for Annual Runoff Forecasting

Abstract: High accuracy forecasting of medium and long-term hydrological runoff is beneficial to reservoir operation and management. A hybrid model is proposed for medium and long-term hydrological forecasting in this paper. The hybrid model consists of two methods, Singular Spectrum Analysis (SSA) and Auto Regressive Integrated Moving Average (ARIMA). In this model, the time series of annual runoff are first decomposed into several sub-series corresponding to some tendentious and periodic motions by using SSA and then each sub-series is predicted, respectively, through an appropriate ARIMA model, and lastly a correction procedure is conducted for the sum of the prediction results to ensure the superposed residual to be a pure random series. The annual runoff data of two reservoirs in China are analyzed as case studies. The results have been compared with the predictions made by ARIMA and Singular Spectrum Analysis-Linear Recurrent Formulae (SSA-LRF). It is shown that hybrid model has the best performance.

Sustainable Catchment Managing in a Climate Changing World: New Integrative Modalities for Connecting Policy Makers, Scientists and Other Stakeholders

Abstract: This paper characterises some of the main issues confronting water-catchment managing in a climate-changing world and addresses wide-spread concerns about the lack of connectivity between science, policy making and implementation. The paper’s arguments are ‘framed’ within a paradigm of systemic and adaptive governing, regulating, planning and managing understood as a nested systemic hierarchy. It is argued that climate change adaptation is best understood as a coevolutionary dynamic, principally, but not exclusively between human beings and the biophysical world. Two forms of ‘knowledge brokerage’ based on mode 1 (knowledge) and mode 2 (knowing) are distinguished with practical implications. Drawing on extensive research by the authors, eight modalities for enacting ‘knowledge brokerage’ are introduced. The conditions for or against success in employing these modalities are described. Consistent with the views of the Intergovernmental Panel on Climate Change 4th Report 2007, it is argued that water managing is a paradigmatic domain for making climate change adaptation ‘real’ and a systemic issue of global concern at the core of sustainable development.

Application of GWQI to Assess Effect of Land Use Change on Groundwater Quality in Lower Shiwaliks of Punjab: Remote Sensing and GIS Based Approach

Abstract: The groundwater resource is a multidimensional concept; it is defined by its location, its occurrence over time, its size, properties, conditions of accessibility, the effort required to mobilize it and therefore, all of which are to be considered in the context of demand. Groundwater, a renewable and finite natural resource, vital for man’s life, social and economic development and a valuable component of the ecosystem, is vulnerable to natural and human impacts. There is a great need for the assessment and monitoring of quality and quantity of groundwater resource required at local level to develop an exact scenario of watershed. In this study qualitative assessment of groundwater was done and a ground water quality index criterion was used to understand the suitability of groundwater for irrigation and drinking purpose in the study area. A GIS based multicriteria analysis was done by assigning weight to different water quality parameters. The water quality was grouped into six classes from very good to unfit for drinking. It was found that the in most part of the study area the water quality varied from moderate to good except in some areas where it is poor to unfit. An assessment of change in landuse and landcover was done from the year 1989 using Landsat data to year 2006 using LISS III satellite data. The change in LULC was correlated with water quality data and it was found that the areas around which rapid urbanisation as well as industrialisation is taking place showed poor to unfit groundwater in terms of quality.

Comparative Evaluation of Genetic Programming and Neural Network as Potential Surrogate Models for Coastal Aquifer Management

Abstract: Determining the optimal rates of groundwater extraction for the sustainable use of coastal aquifers is a complex water resources management problem. It necessitates the application of a 3D simulation model for coupled flow and transport simulation together with an optimization algorithm in a linked simulation-optimization framework. The use of numerical models for aquifer simulation within optimization models is constrained by the huge computational burden involved. Approximation surrogates are widely used to replace the numerical simulation model, the widely used surrogate model being Artificial Neural Networks (ANN). This study evaluates genetic programming (GP) as a potential surrogate modeling tool and compares the advantages and disadvantages with the neural network based surrogate modeling approach. Two linked simulation optimization models based on ANN and GP surrogate models are developed to determine the optimal groundwater extraction rates for an illustrative coastal aquifer. The surrogate models are linked to a genetic algorithm for optimization. The optimal solutions obtained using the two approaches are compared and the advantages of GP over the ANN surrogates evaluated.