scholarly journals Emerging trends about uncertainty in hydrologic modeling and water resources management: A bibliometrics analysis

2021 ◽  
Author(s):  
Congcong Li ◽  
Bowen Li ◽  
Yanpeng Cai ◽  
Zhong Li ◽  
Ronghua Xu ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Collective Knowledge ◽  
Hydrological Simulation ◽  
Resources Management ◽  
Water Resources Systems ◽  
Mapping Software ◽  
Emerging Trends ◽  
Bibliometrics Analysis

Water resources management is a challenging task caused by huge uncertainties and complexities in hydrological processes and human activities. Over the last three decades, various scholars have carried out the study on hydrological simulation under complex conditions, and quantitatively characterize the associated uncertainties for water resources systems. To keep abreast of the development of collective knowledge in this field, a scientometric review and metasynthesis of the existing uncertainty analysis research for supporting hydrological modeling and water resources management is conducted. A total of 2,020 publications from 1991 to 2018 were acquired from Web of Science. The scientific structure, cooperation, and frontiers of the related domain were explored by the science mapping software of CiteSpace. Through co-citation, collaboration, and co-occurrence network study, the results present the leading contributors among all countries and hotspots in the research domain. Besides, synthetical uncertainty management for hydrological models and water resource systems under climatic and land use change will continue to be focused on.

New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management

2019 ◽  
Vol 145 (6) ◽  
pp. 06019004 ◽  
Author(s):  
Lacey A. Mason ◽  
Andrew D. Gronewold ◽  
Michael Laitta ◽  
David Gochis ◽  
Kevin Sampson ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Hydrographic Data ◽  
Data Set ◽  
Resources Management

scholarly journals An Inventory-Theory-Based Inexact Multistage Stochastic Programming Model for Water Resources Management

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
M. Q. Suo ◽  
Y. P. Li ◽  
G. H. Huang ◽  
Y. R. Fan ◽  
Z. Li
Keyword(s):  
Water Resources ◽  
Stochastic Programming ◽  
Water Resources Management ◽  
Programming Model ◽  
Water Shortage ◽  
Multistage Stochastic Programming ◽  
Dynamic Features ◽  
Inventory Theory ◽  
Resources Management ◽  
Water Resources Systems

An inventory-theory-based inexact multistage stochastic programming (IB-IMSP) method is developed for planning water resources systems under uncertainty. The IB-IMSP is based on inexact multistage stochastic programming and inventory theory. The IB-IMSP cannot only effectively handle system uncertainties represented as probability density functions and discrete intervals but also efficiently reflect dynamic features of system conditions under different flow levels within a multistage context. Moreover, it can provide reasonable transferring schemes (i.e., the amount and batch of transferring as well as the corresponding transferring period) associated with various flow scenarios for solving water shortage problems. The applicability of the proposed IB-IMSP is demonstrated by a case study of planning water resources management. The solutions obtained are helpful for decision makers in not only identifying different transferring schemes when the promised water is not met, but also making decisions of water allocation associated with different economic objectives.

scholarly journals Systems Approach to Management of Water Resources—Toward Performance Based Water Resources Engineering

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1208 ◽  
Author(s):  
Slobodan Simonovic
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Systems Approach ◽  
Great Success ◽  
Dynamic Interactions ◽  
Rapid Urbanization ◽  
Resources Management ◽  
Water Resources Systems ◽  
Sustainable Water Resources Management ◽  
Water Resources Engineering

Global change, that results from population growth, global warming and land use change (especially rapid urbanization), is directly affecting the complexity of water resources management problems and the uncertainty to which they are exposed. Both, the complexity and the uncertainty, are the result of dynamic interactions between multiple system elements within three major systems: (i) the physical environment; (ii) the social environment; and (iii) the constructed infrastructure environment including pipes, roads, bridges, buildings, and other components. Recent trends in dealing with complex water resources systems include consideration of the whole region being affected, explicit incorporation of all costs and benefits, development of a large number of alternative solutions, and the active (early) involvement of all stakeholders in the decision-making. Systems approaches based on simulation, optimization, and multi-objective analyses, in deterministic, stochastic and fuzzy forms, have demonstrated in the last half of last century, a great success in supporting effective water resources management. This paper explores the future opportunities that will utilize advancements in systems theory that might transform management of water resources on a broader scale. The paper presents performance-based water resources engineering as a methodological framework to extend the role of the systems approach in improved sustainable water resources management under changing conditions (with special consideration given to rapid climate destabilization). An illustrative example of a water supply network management under changing conditions is used to convey the basic principles of performance-based water resources engineering methodology.

scholarly journals Pemanfaatan Konsep Ekohidrologi (Penciptaan Air dan Sanitasi Bersih) Sebagai Upaya Mengatasi Stunting di Desa Bulang

2019 ◽  
Vol 1 (1) ◽  
pp. 6-9
Author(s):  
Husni Mubaroq
Keyword(s):  
Sustainable Development ◽  
Water Resources ◽  
Water Resources Management ◽  
Water Purification ◽  
Integrated Water Resources Management ◽  
Clean Water ◽  
Resources Management ◽  
Water Resources Systems ◽  
The Future ◽  
Development Approach

Ecohydrology is an approach to integrated water resources management that offers a sustainable development approach in understanding the environment and water resources systems. In this case the conditions where clean water and food can be created to reduce the number of stunting in an area. The concept of ecohydrology can also prevent the spread of disease through water. The introduction of this concept is intended to reduce stunting and overcome the lack of clean water in the future. In this case the concept of Ecohydrology is offered with the existing water purification plan to produce clean water that is ready to use and utilizes materials that are easily available and have low prices. Keywords: Stunting, ecohydrology concept

scholarly journals Selection of a Hydrological Model and Objective Function for Water Resources Management in Predominantly Rural Watershed using Criteria-Based Evaluation

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Pratik Singh Thakuri ◽  
NT Sohan Wijesekera
Keyword(s):  
Water Resources ◽  
Objective Function ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Suitable Model ◽  
Hydrological Models ◽  
Objective Functions ◽  
Resources Management ◽  
Selection Of

Selection of a fitting up-to-date hydrological model using an evaluation of the functionality, modeler’s requirements, and modeling experiences are very important for water resources management in rural watersheds. Similarly, the selection of appropriate objective function is equally crucial in hydrological modeling processes. Accordingly, A review study was carried to select an appropriate model and objective function for water resources modeling in the predominantly rural watershed. Hydrological models namely HEC-HMS, MIKE SHE, SWAT, TOPMODEL, and SWMM, and objective functions namely NSE, RMSE, MRAE, and RAEM were reviewed. Hydrological models were reviewed under several criteria viz. temporal scale, spatial scale, hydrological processes, documentation, resources requirement, user interface and, model acquisition cost. Whereas, criteria for the review of objective functions were mathematical implication, flow regime, and modeling purpose. Each of the review criteria was comprised of several factors. The criteria-based evaluation was done to quantify the review outcome of the hydrological model and objective function. SWMM was found to be the most suitable model for simulating rural watersheds for water resources management purposes whereas, MRAE was found to be the most appropriate objective function to evaluate the performance of the model selected for rural watershed modeling.

scholarly journals Identifying Capabilities and Potentials of System Dynamics in Hydrology and Water Resources as a Promising Modeling Approach for Water Management

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1432 ◽  
Author(s):  
Ahmed F. Mashaly ◽  
Alexander G. Fernald
Keyword(s):  
Water Management ◽  
Water Resources ◽  
System Dynamics ◽  
Water Resources Management ◽  
Agricultural Water ◽  
Agricultural Water Management ◽  
Factors Affecting ◽  
Resources Management ◽  
Water Resources Systems ◽  
Hydrology And Water Resources

Agriculture is the most important sector with regard to water resources management due to its social, economic, hydrological, and environmental aspects, and many scholars and researchers have been driven to investigate the dynamic interrelationships among hydrological, environmental, and socioeconomic factors affecting agriculture. The system dynamics (SD) approach has become widely used because of its merits and benefits as a tool to deal with complex, dynamic problems and systems with many aspects and components that are involved and must be understood to ensure sound decisions regarding water and hydrological systems. Although agricultural water management needs to be studied as a main part of water management, socioeconomic management, and environmental management requiring the use of SD, this review shows that SD is currently used to a limited extent in terms of agricultural water management. This paper sheds light on the studies and investigations on the use of SD in the water sector and highlights the strengths of SD in order to encourage researchers to use this promising method to manage such a vital resource. Accordingly, this review seeks to include a comprehensive and up-to-date survey of existing publications and scholarly papers on the use of SD modeling as an effective technique for dealing with different problems associated with planning, management, and analysis of hydrology and water resources systems. Recent trends in the integration of SD with other modeling systems, such as artificial intelligence systems, are discussed along with the limitations and challenges facing application. This article makes a new contribution by giving a foundation of references and studies for scholars, researchers, and academics which encourages future investigation in employing the SD approach to hydrology and water resources management and planning, especially with agricultural water.

scholarly journals A new method for spatial and temporal analysis of risk in water resources management

2009 ◽  
Vol 11 (3-4) ◽  
pp. 320-329 ◽  
Author(s):  
Slobodan P. Simonovic
Keyword(s):  
Water Resources ◽  
Spatial Variability ◽  
Water Resources Management ◽  
Perceived Risk ◽  
Temporal Analysis ◽  
Resources Management ◽  
Water Resources Systems ◽  
Objective Risk ◽  
Subjective Risk ◽  
Temporal And Spatial

Uncertainty in water resources management is in part about variability and in part about ambiguity. Both are associated with lack of clarity because of the behavior of all system components, lack of data, lack of detail, lack of structure to consider the water resources management problems, working and framing assumptions being used to consider the problems, known and unknown sources of bias, and ignorance about how much effort it is worth expending to clarify the management situation. The two major sources of variability are temporal and spatial heterogeneity. Temporal variability occurs when values fluctuate with time. Other values which are affected by spatial variability are dependent upon location of an area. A major part of the water resources management risk confusion relates to an inadequate distinction between the objective risk (real, physical) and subjective (perceived) risk. Because of the confusion between the two concepts, many characteristics of subjective risk are believed to be valid also for objective risk. The main objective of this paper is to initiate a discussion of the possible methodology for the reliability analysis of water resources systems that will be capable of: (a) addressing water resources uncertainty caused by variability and ambiguity, (b) integrating objective and subjective risk and (c) assisting the water resources management based on better understanding of temporal and spatial variability of risk.

scholarly journals Water resources management – towards performance based approach.

2021 ◽  
pp. 84-93
Author(s):  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Dynamic Interactions ◽  
Rapid Urbanization ◽  
Resources Management ◽  
Water Resources Systems ◽  
The Social ◽  
The Face ◽  
Explicit Consideration ◽  
Recent Trends

Global change that results from population growth, global warming, and land use change (especially rapid urbanization) directly affects the complexity of water resources management problems and the uncertainty they are exposed to. Both, the complexity and the uncertainty, are the result of dynamic interactions of innumerable system parts within three major systems: (i) the physical environment; (ii) the social and demographic characteristics of the region under consideration; and (iii) the pipes, roads, bridges, buildings, and other components of the constructed environment (infrastructure). Recent trends in dealing with complex water resources systems include consideration of the entire region being affected, explicit consideration of all costs and benefits, elaboration of a large number of alternative solutions, and the greater participation of all stakeholders in the decision-making. Systems approaches based on simulation, optimization, and multi-objective analyses, in deterministic, stochastic and fuzzy forms, demonstrated in the last 50 years, an excellent potential for providing appropriate support for effective water resources management. This paper explores the future opportunities based on the advances in systems theory that can, on a broader scale, majorly transform the management of water resources. The paper identifies performance-based water resources engineering as a methodological framework to improve water resources management in the face of rapid climate destabilization so that sustainability becomes the norm, not the occasional success story.

scholarly journals Development of Optimal Water-Resources Management Strategies for Kaidu-Kongque Watershed under Multiple Uncertainties

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Y. Zhou ◽  
Y. P. Li ◽  
G. H. Huang ◽  
Y. Huang
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Allocation ◽  
Probability Distributions ◽  
Management Strategies ◽  
Decision Makers ◽  
Resources Management ◽  
Water Resources Systems ◽  
Distribution Boundary ◽  
Multiple Uncertainties

In this study, an interval-stochastic fractile optimization (ISFO) model is advanced for developing optimal water-resources management strategies under multiple uncertainties. The ISFO model can not only handle uncertainties presented in terms of probability distributions and intervals with possibility distribution boundary, but also quantify subjective information (i.e., expected system benefit preference and risk-averse attitude) from different decision makers. The ISFO model is then applied to a real case of water-resources systems planning in Kaidu-kongque watershed, China, and a number of scenarios with different ecological water-allocation policies under variedp-necessity fractiles are analyzed. Results indicate that different policies for ecological water allocation can lead to varied water supplies, economic penalties, and system benefits. The solutions obtained can help decision makers identify optimized water-allocation alternatives, alleviate the water supply-demand conflict, and achieve socioeconomic and ecological sustainability, particularly when limited water resources are available for multiple competing users.

ECOLOGY AND SUSTAINABLE DEVELOPMENT IN LOCAL BUSINESS:SIMULATION OF LOW IMPACT DEVELOPMENT IN SURAKARTA REGENCY

2018 ◽  
Vol 4 (1) ◽  
pp. 32-38
Author(s):  
Bhimo Rizky Samudro ◽  
Yogi Pasca Pratama
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
River Flow ◽  
Low Impact Development ◽  
Development Model ◽  
Business Activity ◽  
Resources Management ◽  
Central Java ◽  
Specific Culture ◽  
Central Java Province

This paper will describe the function of water resources to support business activities in Surakarta regency, Central Java province. Surakarta is a business city in Central Java province with small business enterprises and specific culture. This city has a famous river with the name is Bengawan Solo. Bengawan Solo is a River Flow Regional (RFR) to support business activities in Surakarta regency. Concious with the function, societies and local government in Surakarta must to manage the sustainability of River Flow Regional (RFR) Bengawan Solo. It is important to manage the sustainability of business activity in Surakarta regency.   According to the condition in Surakarta regency, this paper will explain how the simulation of Low Impact Development Model in Surakarta regency. Low Impact Development is a model that can manage and evaluate sustainability of water resources in River Flow Regional (RFR). Low Impact Development can analys goals, structures, and process water resources management. The system can also evaluate results and impacts of water resources management. From this study, we hope that Low Impact Development can manage water resources in River Flow Regional (RFR) Bengawan Solo.  

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