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You searched for: Journal Water resources management Remove constraint Journal: Water resources management Publication Year 2019 Remove constraint Publication Year: 2019 Source 2019 v.33 no.3 Remove constraint Source: 2019 v.33 no.3
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1. A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

Author:
Liu, Suning; Shi, Haiyun
Source:
Water resources management 2019 v.33 no.3 pp. 1103-1121
ISSN:
0920-4741
Subject:
atmospheric precipitation; hydrologic cycle; prediction; China
Abstract:
... Precipitation is regarded as the basic component of the global hydrological cycle. This study develops a recursive approach to long-term prediction of monthly precipitation using genetic programming (GP), taking the Three-River Headwaters Region (TRHR) in China as the study area. The daily precipitation data recorded at 29 meteorological stations during 1961–2014 are collected, among which the dat ...
DOI:
10.1007/s11269-018-2169-0

2. A Simulation-Optimization Model for Conjunctive Use of Canal and Pond in Irrigating Paddy Fields

Author:
Noory, Hamideh; Deyhool, Mona; Mirzaei, Farhad
Source:
Water resources management 2019 v.33 no.3 pp. 1053-1068
ISSN:
0920-4741
Subject:
algorithms; case studies; deficit irrigation; evapotranspiration; irrigation requirement; irrigation scheduling; irrigation water; models; paddies; ponds; runoff; water requirement; Iran
Abstract:
... In this study, a new methodology is presented for conjunctive use of canal and pond to assess the role of ponds in saving local water and optimizing use of them in supplying irrigation water requirement of paddy fields. Evapotranspiration, runoff, irrigation water requirement, irrigation interval and pond water balance were simulated and then number of canal intake, storage volume and released vol ...
DOI:
10.1007/s11269-018-2166-3

3. Coping with Drought: Perceptions, Intentions and Decision-Stages of South West England Households

Author:
Bryan, Kimberly; Ward, Sarah; Barr, Stewart; Butler, David
Source:
Water resources management 2019 v.33 no.3 pp. 1185-1202
ISSN:
0920-4741
Subject:
algorithms; climate change; cluster analysis; decision making; drought; households; issues and policy; market analysis; models; motivation; population growth; surveys; urbanization; water supply; England
Abstract:
... As water supply in England increasingly faces threats of climate change, urbanisation and population growth, there is an imperative for household water users to be more resilient to extremes such as drought. However, since English water users have not traditionally been involved in drought management, there is need for in-depth understanding of perceptions and intentions towards drought management ...
DOI:
10.1007/s11269-018-2175-2

4. Distribution of grain size and resulting hydraulic conductivity in land reclamations constructed by bottom dumping, rainbowing and pipeline discharge

Author:
van Ginkel, Marloes; Olsthoorn, Theo N.
Source:
Water resources management 2019 v.33 no.3 pp. 993-1012
ISSN:
0920-4741
Subject:
aquifers; freshwater; hydraulic conductivity; porosity; porous media; Netherlands
Abstract:
... Spatially constant porosity and hydraulic conductivity are usually applied in hydrological studies related to land reclamations. However, the grain sorting and the degree of compaction within land reclamations differ per placement method. A study area at Maasvlakte II, the Netherlands, and the four other land reclamations that could be found in the literature are considered that were constructed b ...
DOI:
10.1007/s11269-018-2158-3

5. Efficacy of Rainfall-Runoff Models in Loose Coupling Spacial Decision Support Systems Modelbase

Author:
Neto, Sílvio Luís Rafaeli; Sá, Eder Alexandre Schatz; Debastiani, Aline Bernarda; Padilha, Víctor Luís; Antunes, Thiago Alves
Source:
Water resources management 2019 v.33 no.3 pp. 889-904
ISSN:
0920-4741
Subject:
decision support systems; hydrologic models; prognosis; runoff; water management; watersheds; Brazil
Abstract:
... The need for a prognosis for water resources management in Brazil means that studies with hydrological models are required, as part of a Spatial Decision Support System (SDSS). Choosing the model in a modelbase requires knowledge of the performance of the existing models in the specific situations in which they are to be applied. This paper evaluated the performance of two physically-based models ...
DOI:
10.1007/s11269-018-2086-2

6. Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation

Author:
Kumar, Ashish; Kumar, Pravendra; Singh, Vijay Kumar
Source:
Water resources management 2019 v.33 no.3 pp. 1217-1231
ISSN:
0920-4741
Subject:
basins; fuzzy logic; neural networks; prediction; runoff; sediments; suspended sediment
Abstract:
... In the present study, prediction of runoff and sediment at Polavaram and Pathagudem sites of the Godavari basin was carried out using machine learning models such as artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Different combinations of antecedent stage, current day stage and antecedent runoff for current day runoff prediction and antecedent runoff, current da ...
DOI:
10.1007/s11269-018-2178-z

7. Flood Frequency Analysis Using L Moments: a Comparison between At-Site and Regional Approach

Author:
Drissia, T. K.; Jothiprakash, V.; Anitha, A. B.
Source:
Water resources management 2019 v.33 no.3 pp. 1013-1037
ISSN:
0920-4741
Subject:
basins; chi-square distribution; watersheds; India
Abstract:
... Regional flood frequency analysis has been carried out for estimating peak discharge at regional level over the Kerala State, India, along with at-site flood frequency analysis. For the study, the annual peak discharges of 43 gauging stations having length of data from 14 to 47 years spread over the Kerala State were used. Using L moments and L moment ratio, best fit distribution was identified am ...
DOI:
10.1007/s11269-018-2162-7

8. From Mountain Ranges to Sweeping Plains, in Droughts and Flooding Rains; River Murray Water Quality over the Last Four Decades

Author:
Biswas, Tapas K.; Mosley, Luke M.
Source:
Water resources management 2019 v.33 no.3 pp. 1087-1101
ISSN:
0920-4741
Subject:
chlorophyll; color; data collection; drought; electrical conductivity; landscapes; monitoring; mountains; nitrogen; nutrients; oxidation; pH; pollutants; rain; rivers; total phosphorus; turbidity; water management; water quality; Australia
Abstract:
... The aim of this paper was to analyse the spatial and temporal patterns and drivers of water quality in a large arid/semi-arid river system (River Murray, Australia) using a long term (1978 − 2015) dataset collected from 24 monitoring sites. The water quality is highly variable, but on average electrical conductivity (EC), pH, turbidity, dissolved and total nutrient, colour and chlorophyll a levels ...
DOI:
10.1007/s11269-018-2168-1

9. Groundwater Remediation through Pump-Treat-Inject Technology Using Optimum Control by Artificial Intelligence (OCAI)

Author:
Sadeghfam, Sina; Hassanzadeh, Yousef; Khatibi, Rahman; Nadiri, Ata Allah; Moazamnia, Marjan
Source:
Water resources management 2019 v.33 no.3 pp. 1123-1145
ISSN:
0920-4741
Subject:
algorithms; decision making; fuzzy logic; groundwater; groundwater contamination; remediation; water quality; wells
Abstract:
... Optimum Control by Artificial Intelligence (OCAI) is presented in this paper as a dynamic decision making algorithm for optimising pumpage schedule to remediate a contaminated aquifer using the Pump, Treat and Inject (PTI) method. OCAI integrates three modules to control contaminants, to reduce runtime and to meet water quality constraints and discharge capacity at the wells. There is no bespoke c ...
DOI:
10.1007/s11269-018-2171-6

10. Groundwater Vulnerability Modeling to Assess Seawater Intrusion: a Methodological Comparison with Geospatial Interpolation

Author:
Momejian, N.; Abou Najm, M.; Alameddine, I.; El-Fadel, M.
Source:
Water resources management 2019 v.33 no.3 pp. 1039-1052
ISSN:
0920-4741
Subject:
aquifers; chlorides; cities; geographic information systems; groundwater; kriging; models; risk assessment; saltwater intrusion; water quality; water salinity
Abstract:
... Seawater intrusion has become a growing threat in coastal urban cities due to overexploitation of groundwater. This study examines the accuracy of the commonly used geospatial quality assessment models (GQA) and groundwater vulnerability assessment models (GVA) in determining the extent of seawater intrusion in urban coastal aquifers. For that purpose, interpolation methods (kriging, IDW and co-kr ...
DOI:
10.1007/s11269-018-2165-4

11. Identification of the Non-stationarity of Floods: Changing Patterns, Causes, and Implications

Author:
Liu, Saiyan; Huang, Shengzhi; Xie, Yangyang; Wang, Hao; Leng, Guoyong; Huang, Qiang; Wei, Xiaoting; Wang, Lu
Source:
Water resources management 2019 v.33 no.3 pp. 939-953
ISSN:
0920-4741
Subject:
El Nino; anthropogenic activities; basins; case studies; climate change; floods; risk; time series analysis; variance; vegetation; water management; watersheds; China
Abstract:
... The assumption of stationarity in the flood time series is the basis for flood design and forecasting. Therefore, identification of the non-stationarity of flood series and the underlying causes is necessary for flood risk and water resources management. The Wei River Basin (WRB) of China was selected as the case study. Nonstationary flood behavior was examined comprehensively in terms of trends a ...
DOI:
10.1007/s11269-018-2150-y

12. Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling

Author:
Shoaib, Muhammad; Shamseldin, Asaad Y.; Khan, Sher; Sultan, Muhammad; Ahmad, Fiaz; Sultan, Tahir; Dahri, Zakir Hussain; Ali, Irfan
Source:
Water resources management 2019 v.33 no.3 pp. 955-973
ISSN:
0920-4741
Subject:
hydrologic models; neural networks; runoff; wavelet
Abstract:
... The use of wavelet-coupled data-driven models is increasing in the field of hydrological modelling. However, wavelet-coupled artificial neural network (ANN) models inherit the disadvantages of containing more complex structure and enhanced simulation time as a result of use of increased multiple input sub-series obtained by the wavelet transformation (WT). So, the identification of dominant wavele ...
DOI:
10.1007/s11269-018-2151-x

13. Leakage Estimation in Water Distribution Network: Effect of the Shape and Size Cracks

Author:
De Marchis, Mauro; Milici, Barbara
Source:
Water resources management 2019 v.33 no.3 pp. 1167-1183
ISSN:
0920-4741
Subject:
deformation; equations; laboratory experimentation; models; pipes; polyethylene; water distribution; water utilities; Italy
Abstract:
... The definition of the relationship between the leak outflow, the total head at the leak and other relevant parameters such as pipe stiffness, leak dimension and shape has been object of extensive studies. The attention to a correct estimation of leakages, leak law, is crucial for the management of water distribution systems. Water utilities, in fact, can reduce leakage levels through the leak dete ...
DOI:
10.1007/s11269-018-2173-4

14. Leakage Identification in Water Distribution Networks with Error Tolerance Capability

Author:
Xie, Xiang; Hou, Dibo; Tang, Xiaoyu; Zhang, Hongjian
Source:
Water resources management 2019 v.33 no.3 pp. 1233-1247
ISSN:
0920-4741
Subject:
monitoring; wastes; water distribution; water resources
Abstract:
... Leakages in water distribution networks have caused considerable waste of water resources. Thus, this study proposes a novel method for hydraulically monitoring and identifying regions where leakages occur in near-real time. A large network is first divided into several identification regions. To exploit a strong constructive and discriminative power, sparse coding is used, thereby adaptively codi ...
DOI:
10.1007/s11269-018-2179-y

15. Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient

Author:
Riahi-Madvar, Hossien; Dehghani, Majid; Seifi, Akram; Singh, Vijay P.
Source:
Water resources management 2019 v.33 no.3 pp. 905-921
ISSN:
0920-4741
Subject:
data collection; dispersibility; equations; geometry; models; pollutants; prediction; rivers; sediment transport; streams
Abstract:
... The longitudinal dispersion coefficient (Kx) is fundamental to modeling of pollutant and sediment transport in natural rivers, but a general expression for Kx, with applicability in low or high flow conditions, remains a challenge. The objective of this paper is to develop a Pareto-Optimal-Multigene Genetic Programming (POMGGP) equation for Kx by analyzing 503 data sets of channel geometry and flo ...
DOI:
10.1007/s11269-018-2139-6

16. Sustaining Reforms in Water Service Delivery: the Role of Service Quality, Salience, Trust and Financial Viability

Author:
Jensen, Olivia; Chindarkar, Namrata
Source:
Water resources management 2019 v.33 no.3 pp. 975-992
ISSN:
0920-4741
Subject:
data collection; economic sustainability; funding; household surveys; income; social behavior; water supply; India
Abstract:
... The long-term success of water service reforms depends on sufficient revenues being collected from users to allow access to be extended and quality of service to be maintained, given constraints on the availability of other sources of funding. Financial sustainability will be undermined if a large proportion of users do not pay their water bills. Using household survey data collected around a uniq ...
DOI:
10.1007/s11269-018-2154-7

17. The Contributions of Climate Changes and Human Activities to Long-Term Variations in Lake Sediments Based on Results from Generalized Additive Models

Author:
He, Zhuoshi; Huo, Shouliang; Ma, Chunzi; Zhang, Hanxiao; An, Da; Xi, Beidou; Xu, Qiujing; Xia, Xinghui; Wu, Fengchang
Source:
Water resources management 2019 v.33 no.3 pp. 1069-1085
ISSN:
0920-4741
Subject:
air temperature; anthropogenic activities; aquatic environment; climate change; gross domestic product; issues and policy; lakes; land use; models; paddies; population size; regression analysis; sediments; total nitrogen; total organic carbon; total phosphorus; water quality; China
Abstract:
... Climate changes and human activities can influence lake sediments, which may lead to disruptions in aquatic environments. A better understanding of these effects is crucial for the future management of lakes and reservoirs. The impacts of climate change and human activity factors, such as air temperature, land use patterns, population size, and gross domestic product (GDP), on lake sediments in Ch ...
DOI:
10.1007/s11269-018-2167-2

18. The Effect of Geological Heterogeneity and Groundwater Table Depth on the Hydraulic Performance of Stormwater Infiltration Facilities

Author:
D’Aniello, Andrea; Cimorelli, Luigi; Cozzolino, Luca; Pianese, Domenico
Source:
Water resources management 2019 v.33 no.3 pp. 1147-1166
ISSN:
0920-4741
Subject:
groundwater recharge; hydrologic cycle; infiltration rate; infrastructure; mathematical models; saturated conditions; soil heterogeneity; stormwater; stormwater management; uncertainty; urbanization; water quality; water table; watersheds
Abstract:
... Urbanization has led to a substantial change in the hydrological cycle of urban catchments. Increased runoff and urban flooding, decreased direct subsurface infiltration and groundwater recharge, deterioration of water quality are among the major effects of this alteration. To alleviate these effects, Low Impact Development (LID) practices have been frequently adopted for stormwater management. Am ...
DOI:
10.1007/s11269-018-2172-5

19. The Improvement in GWLF Model Simulation Performance in Watershed Hydrology by Changing the Transport Framework

Author:
Qi, Zuoda; Kang, Gelin; Shen, Minli; Wang, Yuqiu; Chu, Chunli
Source:
Water resources management 2019 v.33 no.3 pp. 923-937
ISSN:
0920-4741
Subject:
hydrologic models; pollutants; simulation models; stream flow; uncertainty; uncertainty analysis; watershed hydrology; watershed management; watersheds
Abstract:
... The correct and reasonable delineation of actual hydrologic processes is a footstone for the effective simulation of pollutants in watershed models. In this study, a simple but comprehensive semidistributed modeling approach based on the generalized watershed loading function (GWLF) was modified to enable the accurate simulation of hydrology in watersheds. The frame of the original GWLF model (ORM ...
DOI:
10.1007/s11269-018-2149-4

20. Upper and Lower Bound Interval Forecasting Methodology Based on Ideal Boundary and Multiple Linear Regression Models

Author:
Li, Wei; Zhou, Jianzhong; Chen, Lu; Feng, Kuaile; Zhang, Hairong; Meng, Changqing; Sun, Na
Source:
Water resources management 2019 v.33 no.3 pp. 1203-1215
ISSN:
0920-4741
Subject:
algorithms; experts; models; prediction; regression analysis; runoff; uncertainty; Yangtze River
Abstract:
... The uncertainty research of hydrological forecast attracts the attention of a host of hydrological experts. Prediction Interval (PI) is a convinced method that can ensure the forecasting accuracy meanwhile take uncertainty range into consideration. While the existed Prediction Interval methods need algorithm optimization and are susceptible to local optima, so it is particularly urgent to provide ...
DOI:
10.1007/s11269-018-2177-0