Water Resources Management Model Research Articles

Global hydroclimatic drivers of terrestrial water storage changes in different climates

The Gravity Recovery and Climate Experiment (GRACE) mission provides an unprecedented way to assess terrestrial water storage changes (TWSC) worldwide. However, hydroclimatic drivers of GRACE-derived TWSC in different climates have not been systematically examined, which hinders its applications in water resources management and hydrological model development. In this study, we derived the monthly TWSC using the GRACE dataset, and analyzed its partial correlations with precipitation (P), evapotranspiration (ET), runoff (R), and temperature (T) from 2003 to 2019 under the Köppen-Geiger world climate classification system. Relative contributions of the four hydroclimatic elements (P, ET, R, and T) to TWSC were quantified using the hierarchical partitioning method. The results indicate that P mainly controls TWSC in tropical climates, hot semi-arid climate, and temperate and continental climates with dry winter. ET is the primary driver of TWSC in mid- and high-latitude regions that feature temperate and continental climates with no dry season, subarctic climates, and polar climates. T mainly influences TWSC in cold arid climates, temperate and continental climates with dry summer or no dry season, and ice cap climate. However, TWSC in many arid climates near the Tropic of Cancer and the Tropic of Capricorn are not well explained by all four hydroclimatic variables according to their non-significant partial correlations. Large trends in annual TWSC are found in South America, western Canada, eastern contiguous United States, and Africa, which are likely due to marked changes in P based on their similar spatial pattern. In particular, decreasing TWSC are found in most continental climates, which manifests a deterioration of water resources availability in these regions. Overall, our results clarify the major hydroclimatic drivers of TWSC in different climates at a global scale, which may help improve TWSC modeling and prediction through a judicious selection of explanatory hydroclimatic variables in different climates.

Spatial multivariate selection of climate indices for precipitation over India

Large-scale interdependent teleconnections influence precipitation at various spatio-temporal scales. Selecting the relevant climate indices based on geographical location is important. Therefore, this study focuses on the spatial multivariate selection of climate indices influencing precipitation variability over India, using the partial least square regression and variable importance of projection technique. 17 climate indices and gridded precipitation dataset (0.25 × 0.25°) from the Indian Meteorological Department for 1951–2020 at a monthly scale are considered. Results show that among all the indices, Nino 4, Nino 1 + 2, Trans Nino Index, Atlantic Multidecadal Oscillation (AMO), quasi-biennial oscillation (QBO), Arctic oscillation (AO), and North Atlantic Oscillation (NAO) have a significant influence on precipitation over India. Further, within homogenous regions, it is found that the Southern Oscillation Index and Nino 3.4 are selected majorly in the South Peninsular compared to other regions. The NAO/AO show a similar pattern and was found to be relevant in the Northeast region (>89%). AMO is selected mainly in Northwest, and West Central (>80%), AMO and QBO at about 70% of grid locations over Central Northeast India. It is to be noted that the number of climate indices identified varies spatially across the study region. Overall, the study highlights identifying the relevant climate indices would aid in developing improved predictive and parsimonious models for agriculture planning and water resources management

Facilitation Model for Supporting Integrative Water Resource Management

Facilitation Model for Supporting Integrative Water Resource Management

Hydrological Modelling with the Tank Model for Water Resource Management of Nilwala River Basin

"ENGINEER", established in 1973 by The Institution of Engineers, is a Journal for dissemination of Engineering knowledge, published quarterly.If you are interested in contributing an Original Technical Paper based on research by the author(s) (intended for Section I) or an Original Article of Professional or Technical interest related to Engineering. (Section II) to this journal please go through the publication checklist which can be downloaded from here.Cover DescriptionCover images show views of the Giant tank and the Tekkama anicut.

Water Security in the Anthropocene: A Dialectical Water–Man Interaction Model

The impacts of human activities have been detected in geological strata by rock radiometry and fossil recognition. They represent the timeline of Man–Nature interaction in different periods of climate change over a long duration. A notable exception is the human footprint during the industrial period, starting in the 18th century. Due to the severity of human impact during the last few decades, some scientists have suggested calling this era the “Anthropocene”. One of the main challenges in the Anthropocene is to achieve water security with innovative approaches aiming to improve natural water resources management, policy, and governance. In this paper, it is suggested to reformulate the Water–Man interaction as the union of two opposites: conflict and cooperation. Their dialectical unification by conflict resolution leads to a new model of water resources management and policy that can initiate a harmonious symbiosis between Man and nature, minimize externalities, and increase water resilience.

Water Resource Accounting Modeling and Analysis Adapting to the Development of Market Economy under the Sustainable Development Strategy of Big Data

As the world’s average population continues to increase, residents’ demand for water resources continues to increase. Traditional water resource management models and accounting methods have been unable to adapt to the development of the era of big data. We urgently need to establish a new accounting model to realize the sustainable use of water resources under the sustainable development strategy. Based on the above situation, starting from the development of water resource management and market economy, this paper models and analyzes the water resource accounting of sustainable development strategies in the big data environment. First of all, according to the needs of fine accounting of water resources, we start with the microcontrol principle of accounting. We take the basic principles of the accounting identity and responsibility right generation system as the basic method of water resource accounting. This paper proposes an accounting system framework for water resource accounting accounts and related statements. In the sustainable development strategy, the impact of human wading activities on water resources and ecological environment is discussed. Finally, the application of water basin accounting is analyzed in detail. The results show that under the sustainable development strategy, the water resource accounting model integrated into the market economy development can improve the utilization rate of modern water resources and further improve and realize the concept of sustainable development.

A bi-level multi-objective programming model for water resources management under compound uncertainties in Dongjiang River Basin, Greater Bay Area of China

To facilitate regional water resources allocation, an integrated bi-level multi-objective programming (IBMP) model with dual random fuzzy variables was developed in this research The proposed model was derived through incorporating dual random fuzzy variables, multi-objective programming, and interval parameter programming within a bi-level optimization framework. This approach improved upon the previous bi-level programming methods and had two advantages. Firstly, it was capable of reflecting tradeoffs among multiple conflict preferences for water related bi-level hierarchical decision-making processes. Secondly, random fuzzy variables were used to tackle the dual uncertainties in both sides of the constraints, which were characterize as probability density functions and discrete intervals. Then, a real-world water resources planning problem was employed for illustrating feasibility of the application of IBMP model in Dongjiang river watershed of south China. Results reflected the alternative decisions for water allocation schemes under a set of probability levels and fuzzy α - cut levels, which can support in-depth analysis of tradeoffs among multiple levels and objective values. Moreover, modeling comparison analysis was undertaken to illustrate the performances of the proposed model.

PENGELOLAAN SUMBER DAYA AIR PARTISIPATIF DI WILAYAH HULU DAERAH ALIRAN SUNGAI BIALO, SULAWESI SELATAN (Participatory Water Resources Management in the Bialo Upstream Watershed, South Sulawesi)

Poor watershed management has resulted in environmental degradation and has resulted in increasingly competitive use of water resources. The balance between demand and supply of water in the upstream watershed area as a water recharge area becomes difficult to obtain. The main parties most affected are the poor in the upstream watershed. This research was carried out in two villages in Bulukumba Regency and Bantaeng Regency, South Sulawesi with the aim of producing an effective and efficient residential-based independent water resource management model in the upstream watershed that ensures a balance between demand and sustainable supply. The participatory action research (PAR) method is used as an approach in conducting research. PAR prioritizes participatory action, assessment, and learning through regular mentoring to encourage interactive community participation. In describing the general condition of the research location, qualitative descriptive analysis was used. Domestic water supply and demand are calculated based on the number and rate of population growth. The results showed that the settlement-based water management model in the two villages was able to produce water that exceeds the need and in sufficient quantity and quality in a sustainable manner. From the process of implementing the activities for 3 years, it can be seen that the PAR approach with mentoring has an impact on increasing the community's ability, self-confidence, and increasing their motivation to manage their natural resources better together. The PAR process also triggers an increase in public perception and trust in assistance from outside parties so that subsequent programs are more easily accepted by the community

Browse By Issue By Author By Title By Sections By Identify Types Other Journals KEYWORDS DAS Mikro DAS mikro USLE drought erosi erosion flood fuzzy-AHP jasa lingkungan land use landform landslide metode sidik cepat mitigation partisipasi pengelolaan DAS perencanaan prioritas sedimentation vulnerability watershed LANGUAGE Select Language English Journal Help NOTIFICATIONS View (340 new) Manage FONT SIZE INDEXED BY : MORE....

Poor watershed management has resulted in environmental degradation and has resulted in increasingly competitive use of water resources. The balance between demand and supply of water in the upstream watershed area as a water recharge area becomes difficult to obtain. The main parties most affected are the poor in the upstream watershed. This research was carried out in two villages in Bulukumba Regency and Bantaeng Regency, South Sulawesi with the aim of producing an effective and efficient residential-based independent water resource management model in the upstream watershed that ensures a balance between demand and sustainable supply. The participatory action research (PAR) method is used as an approach in conducting research. PAR prioritizes participatory action, assessment, and learning through regular mentoring to encourage interactive community participation. In describing the general condition of the research location, qualitative descriptive analysis was used. Domestic water supply and demand are calculated based on the number and rate of population growth. The results showed that the settlement-based water management model in the two villages was able to produce water that exceeds the need and in sufficient quantity and quality in a sustainable manner. From the process of implementing the activities for 3 years, it can be seen that the PAR approach with mentoring has an impact on increasing the community's ability, self-confidence, and increasing their motivation to manage their natural resources better together. The PAR process also triggers an increase in public perception and trust in assistance from outside parties so that subsequent programs are more easily accepted by the community.

Network flow and flood routing model for water resources optimization

Real-time management of hydraulic systems composed of multi-reservoir involves conflicting objectives. Its representation requires complex variables to consider all the systems dynamics. Interfacing simulation model with optimization algorithm permits to integrate flow routing into reservoir operation decisions and consists in solving separately hydraulic and operational constraints, but it requires that the water resource management model is based on an evolutionary algorithm. Considering channel routing in optimization algorithm can be done using conceptual models such as the Muskingum model. However, the structure of algorithms based on a network flow approach, inhibits the integration of the Muskingum model in the approach formulation. In this work, a flood routing model, corresponding to a singular form of the Muskingum model, constructed as a network flow is proposed and integrated into the water management optimization. A genetic algorithm is involved for the calibration of the model. The proposed flood routing model was applied on the standard Wilson test and on a 40 km reach of the Arrats river (southwest of France). The results were compared with the results of the Muskingum model. Finally, operational results for a water resource management system including this model are illustrated on a rainfall event.

Crop-growth-based spatially-distributed optimization model for irrigation water resource management under uncertainties and future climate change

The spatially distributed AquaCrop-multiobjective robust possibilistic programming (distributed AquaCrop-MORPP) model that considers spatially-distributed land, soil and management features has been proposed for irrigation scheduling optimization under uncertain conditions. Compared with traditional simulation-optimization models, it improved the robustness of decision making by optimizing irrigation amounts and dates considering physical crop growth process and the spatial heterogeneity of soil, crop and irrigation. Additionally, it enhanced the AquaCrop-optimization model by handling uncertainties presented as fuzzy and stochastic variables. Moreover, it enhanced the applicability of multi-objective programming (MOP) by balancing contradictory relationships between the objectives of the net economic benefit and field water use efficiency, which were simulated and calculated by the spatially-distributed AquaCrop model. Fifty groups of optimal Pareto solutions were obtained by solving the spatially-distributed AquaCrop-MORPP model using a fast and elitist multi-objective genetic algorithm (NSGA-II) method. Subjective decision-making methods (e.g., Technique for order preference by similarity to an ideal solution (TOPSIS) and prospect theory) were used to select specific alternatives from the Pareto solutions to provide recommendations for managers from different viewpoints. The alternatives that maximized field water use efficiency or net economic benefit separately were selected to cope with emergencies. To obtain optimal irrigation scheduling under future climate change, the RCP4.5 future climate scenario was integrated with the spatially-distributed AquaCrop-MORPP model. The model was verified by applying it to the Yingke Irrigation District (YID), Heihe River Basin (HRB), China. The results showed that the maximum field water use efficiency and net economic benefit in 2021 improved by 24% and 1.3% than those in 2012 for the alternative selected by TOPSIS method. The irrigation scheduling with varied irrigation dates improved by 3.7% and 5% than the irrigation scheduling with fixed irrigation dates for field water use efficiency and net economic benefit, separately. The study provides a framework about how to build spatially-distributed crop simulation-optimization model with consideration of tradeoffs amid multiple objectives to optimize irrigation schedules, and how to select alternatives based on managers’ risk attitudes, and offer a series of Pareto solutions for managers.

Stress-Testing Framework for Urban Water Systems: A Source to Tap Approach for Stochastic Resilience Assessment

Optimizing the design and operation of an Urban Water System (UWS) faces significant challenges over its lifespan to account for the uncertainties of important stressors that arise from population growth rates, climate change factors, or shifting demand patterns. The analysis of a UWS’s performance across interdependent subsystems benefits from a multi-model approach where different designs are tested against a variety of metrics and in different times scales for each subsystem. In this work, we present a stress-testing framework for UWSs that assesses the system’s resilience, i.e., the degree to which a UWS continues to perform under progressively increasing disturbance (deviation from normal operating conditions). The framework is underpinned by a modeling chain that covers the entire water cycle, in a source-to-tap manner, coupling a water resources management model, a hydraulic water distribution model, and a water demand generation model. An additional stochastic simulation module enables the representation and modeling of uncertainty throughout the water cycle. We demonstrate the framework by “stress-testing” a synthetic UWS case study with an ensemble of scenarios whose parameters are stochastically changing within the UWS simulation timeframe and quantify the uncertainty in the estimation of the system’s resilience.

Simulation-Optimization Model for Conjunctive Management of Surface Water and Groundwater for Agricultural Use

The conjunctive management of surface water and groundwater resources is essential to sustainably manage water resources. The target study is the Osan watershed, in which approximately 60–70% of rainfall occurs during the summer monsoon in Central South Korea. Surface water resources are overexploited six times as much as groundwater resources in this region, leading to increasing pressure to satisfy the region’s growing agricultural water demand. Therefore, a simulation-optimization (S-O) model at the sub-basin scale is required to optimize water resource allocation in the Osan watershed. An S-O model based on an artificial neural network (ANN) model coupled with Jaya algorithm optimization (JA) was used to determine the yearly conjunctive supply of agricultural water. The objective was to minimize the water deficit in the watershed subject to constraints on the cumulative drawdown in each subarea. The ANN model could predict the behaviour of the groundwater level and facilitate decision making. The S-O model could minimize the water deficit by approximately 80% in response to the gross water demand, thereby proving to be suitable for a conjunctive management model for water resource management and planning.

The water–man eristic dialectics for sustainable hydro-governance

ABSTRACT Eristic and dialectics are used in their original meaning in Greek to describe conflicting relations between man and water (eristic) and their logical reconciliation (dialectics). A historic peregrination shows a dysfunctional relationship between humans and water. It became human-dominated, creating huge externalities in the state-of-the-art integrated water resources management (IWRM) model as well. The eristic–dialectical symbiosis of humans with water unifies harmoniously their contradictory relationship of conflict and cooperation. It has been used to develop a new policy model of water resources management that is illustrated here with two real case studies and can lead to a sustainable hydro-governance.

Managing conflicts and equitability in hierarchical decision making for water resources planning under fuzzy uncertainty: A case study of Yellow River, China

Study areaThe Yellow River, China Study focusThe Yellow River as the second longest river of China is of vital importance to maintain regional water security. With the influence of climate change and intense human activities, there will be an increasing severe water shortage which would bring challenges to regional water resources management. In this study, an interactive fuzzy bi-level water resources management (FuzzyBiWRM) model with a hierarchical structure, has been proposed for water resources planning to satisfy the conflicting requirements of decision makers and quantify the trade-offs in a top-down decision-making process. New hydrological insightsThe results show that there would be conflicts of water allocations among riparian provinces in the Yellow River region due to the increasing severe water shortage. The allocated water for all riparian provinces will decrease, especially for provinces with high water consumption. Accordingly, the proportional structure of water use by sectors in a province will also change. The proportion of water used for agriculture will decrease firstly. Although the FuzzyBiWRM model can generate fairer water resources allocation schemes, the water demands of the provinces with powerful economy would be firstly met to ensure maximum economic benefits. Shandong province would not face too much financial losses, but Shaanxi and Shanxi would suffer the most economic damages with more than 20%, followed by Henan with an economic loss of 11%.

Ecological performance of local initiatives on water resources management in Timorese communities, Indonesia

Indonesia is one of the countries under the threat of a water crisis. A total of 106 districts from 16 provinces, including East Nusa Tenggara, experienced drought and clean water crisis of 1.50 billion m3 year−1. This involves ecological characteristics accumulation of semiarid regions, degradation of forest resources, and increased critical land. Mitigation research on a watershed scale provides an understanding of the strong relationship between land degradation and water crisis. However, specific information on biophysical spring sources in semi-arid ecosystems is still very limited. This study aimed to obtain ecological performance based on rainfall, critical land, and land cover from a community-based water resource management model on the Timor island. This study was conducted through field observations at 63 units of water sources and structured interviews. The results showed that the characteristics vary from rainfall distribution, land cover, critical land, and utilization pressure. Furthermore, water source units have a limited carrying capacity of rainfall, the land conditions are generally critical, including the threat of land fires and community use of springs. Meanwhile, the variations of these characteristics determine the management interventions undertaken by the community. Therefore, through various management models of community-based water sources, local initiatives need to get support to preserve water sources for the people’s livelihood.

Management model Management Model of Unda River in the Development of Traditional Village Based on Custom Village in Paksebali Village Klungkung Bali

This research is intended to identify the water resources management model carried out by Paksebali Village in the development of Tourism Villages in Klungkung Regency. Water resources (SDA) managemet in the development of tourism villages through coexistence between the Customary Villages and the Dinas (state) Villages which are oriented towards empowering rural communities for community welfare. So the Paksebali Village can coexit both the legal structure and the legal substance of the use of Unda River's surface water as a water attraction, restaurant, prewed in the development of new tourist destinations in Klungkung Regency through the development of a tourism village.

A Systems Approach to Understanding Geopolitical Tensions in the Middle East in the Face of a Global Water Shortage

In this paper the potential for conflict in the Middle East due to the depleting of regional water reserves is explored and the implications for regional policy making, in the light of other tensions are investigated. We use System Dynamics to develop a model for water resources management and explore via simulation issues that emerge as important, in order to highlight required policies. This analysis validates part of the existing thinking and policies in place and signifies further the need for transboundary cooperation and emphasis on areas that may not be viewed traditionally as key priorities (e.g. demand management, as opposed to continuity of supply).

Progress and Prospect of Agent-Based Modeling for Water Resources Management

Progress and Prospect of Agent-Based Modeling for Water Resources Management

Evaluation of HEC-HMS Model for Water Resources Management in Maha Oya Basin in Sri Lanka

"ENGINEER", established in 1973 by The Institution of Engineers, is a Journal for dissemination of Engineering knowledge, published quarterly.Cover DescriptionCover images show a schematic diagram of a Pumped-Storage Hydroelectricity (PSH) facility and one of the promising sites for PSH in Sri Lanka. The latter image was obtained from the publicly available JICA report on “Development Planning on Optimal Power Generation for Peak Demand in Sri Lanka”. The Institution of Engineers, Sri Lanka acknowledges JICA for the image. If you are interested in contributing an Original Technical Paper based on research by the author(s) (intended for Section I) or an Original Article of Professional or Technical interest related to Engineering. (Section II) to this journal please go through the publication checklist which can be downloaded from here.