4.7 Article

Integrated modelling of a megacity water system - The application of a transdisciplinary approach to the Lima metropolitan area

Journal

JOURNAL OF HYDROLOGY
Volume 573, Issue -, Pages 983-993

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2018.03.045

Keywords

Cross-impact-balance; Lima; Macro-modelling; Scenario development; Simulation; Water supply

Funding

  1. German Ministry of Education and Research (BMBF) [01LG0512]

Ask authors/readers for more resources

The rapidly growing urban centres throughout the world are facing serious problems due to the fast changing developments in all of their environmental spheres (nature, society, politics, culture and economics). Therefore, strategic planning becomes even more important in order to develop strategies that allow cities to adapt to new challenges and to prevent or to mitigate negative trends. This paper presents a transdisciplinary approach to water management, which combines adaptation and application of methods from hydrology, social sciences, water engineering and modelling; furthermore, this approach also involves stakeholders in this process. This methodology assists cities in addressing risks by elaborating solutions, which are characterised by ownership and acceptance of the stakeholders involved. The presented methodology proposed here has been applied to the water system of the desert megacity of Lima/Peru. As a city of almost 10 million inhabitants and with an annual rainfall of about 10 mm per year, Lima presents a unique case with particular challenges regarding water supply. In order to assess the changes in precipitation and temperature for the next decades, two global circulation models and three scenarios have been used. Changes in discharge was addressed using the conceptual rainfall-runoff model HBV applied in both the Atlantic and Pacific catchments relevant to the capital city Lima in terms of water supply. A scenario methodology, combining qualitative and quantitative elements, based on the Cross Impact Balance Analysis, has been developed and applied. From the millions of theoretically possible combinations of future developments of descriptors (driving forces) of the water system, four have been identified as the (only) consistent potential developments of the future. Local stakeholders, stemming from a wide range of institutions have been actively involved in the definition of these driving forces and the set of scenarios. The evaluation of these scenarios and potential options to adapt the water system to future developments was carried out by modelling and simulation, using a purpose-built, yet general, simulator which represents the entire water and wastewater system and includes the important inherent feedback loops (e.g. water demand by irrigation, reuse of treated and untreated wastewaters). The setup of the simulator and the implemented models was done in a way that the simulator formed an integral element in the design of strategies and measures, derived by this innovative combination of qualitative scenario building, quantitative modelling and stakeholder participation. As a core result of this process, the Action Plan Lima 2040 has been developed and adopted, in which the signatories (the main institutions and organisations responsible for the water sector of Lima) commit themselves to specific actions to be implemented over the years to come. (C) 2018 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Meteorology & Atmospheric Sciences

Cross-Scale Precipitation Variability in a Semiarid Catchment Area on the Western Slopes of the Central Andes

Katja Trachte, Jochen Seidel, Rafael Figueroa, Marco Otto, Joerg Bendix

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2018)

Article Environmental Sciences

Water temperatures in the headwaters of the Volga River: Trend analyses, possible future changes, and implications for a pan-European perspective

M. T. Bui, V. V. Kuzovlev, Y. N. Zhenikov, L. Fuereder, J. Seidel, M. Schletterer

RIVER RESEARCH AND APPLICATIONS (2018)

Article Engineering, Environmental

Astlingen - a benchmark for real time control (RTC)

Manfred Schuetze, Maja Lange, Michael Pabst, Ulrich Haas

WATER SCIENCE AND TECHNOLOGY (2018)

Article Meteorology & Atmospheric Sciences

Quality and Value of Seasonal Precipitation Forecasts Issued by the West African Regional Climate Outlook Forum

J. Bliefernicht, M. Waongo, S. Salack, J. Seidel, P. Laux, H. Kunstmann

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2019)

Review Environmental Sciences

Causative classification of river flood events

Larisa Tarasova, Ralf Merz, Andrea Kiss, Stefano Basso, Guenter Bloeschl, Bruno Merz, Alberto Viglione, Stefan Ploetner, Bjoern Guse, Andreas Schumann, Svenja Fischer, Bodo Ahrens, Faizan Anwar, Andras Bardossy, Philipp Buehler, Uwe Haberlandt, Heidi Kreibich, Amelie Krug, David Lun, Hannes Mueller-Thomy, Ross Pidoto, Cristina Primo, Jochen Seidel, Sergiy Vorogushyn, Luzie Wietzke

WILEY INTERDISCIPLINARY REVIEWS-WATER (2019)

Article Engineering, Environmental

Simulation and visualization of material flows in sanitation systems for streamlined sustainability assessment

M. Schuetze, A. Wriege-Bechtold, T. Zinati, H. Soebke, I Wissmann, M. Schulz, S. Veser, J. Londong, M. Barjenbruch, J. Alex

WATER SCIENCE AND TECHNOLOGY (2019)

Article Environmental Sciences

Precipitation Characteristics at Two Locations in the Tropical Andes by Means of Vertically Pointing Micro-Rain Radar Observations

Jochen Seidel, Katja Trachte, Johanna Orellana-Alvear, Rafael Figueroa, Rolando Celleri, Joerg Bendix, Ciro Fernandez, Christian Huggel

REMOTE SENSING (2019)

Article Environmental Sciences

Hydrological Modelling in Data Sparse Environment: Inverse Modelling of a Historical Flood Event

Andras Bardossy, Faizan Anwar, Jochen Seidel

WATER (2020)

Article Water Resources

Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales

Maximilian Graf, Abbas El Hachem, Micha Eisele, Jochen Seidel, Christian Chwala, Harald Kunstmann, Andras Bardossy

Summary: The study focused on using opportunistic rainfall sensors in Germany, specifically in Rhineland-Palatinate and Reutlingen, to derive accurate rainfall maps through geostatistical interpolation. The results showed that datasets including information from opportunistic sensors performed the best, with interpolated rainfall maps matching reference rain gauges. While the daily country-wide scale showed good performance of the interpolated rainfall maps, the gauge-adjusted radar products were closer to the reference data.

JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2021)

Article Water Resources

Current and future water balance for coupled human-natural systems - Insights from a glacierized catchment in Peru

Alina Motschmann, Claudia Teutsch, Christian Huggel, Jochen Seidel, Christian D. Leon, Randy Munoz, Jessica Sienel, Fabian Drenkhan, Wolfgang Weimer-Jehle

Summary: This study focuses on water resource changes in the Santa River basin in Peru. By developing an integrated model, the researchers analyze different trajectories of water availability in the future. The results show that mean annual water availability is projected to increase, but there will be a substantial decrease in dry season water availability. This highlights the importance of considering spatiotemporal scales in multi-scenario water balance models to support local decision-making, and emphasizes the need for improvements in water management and infrastructure.

JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2022)

Article Geosciences, Multidisciplinary

Technical Note: Space-time statistical quality control of extreme precipitation observations

Abbas El Hachem, Jochen Seidel, Florian Imbery, Thomas Junghaenel, Andras Bardossy

Summary: Information about precipitation extremes is crucial for hydrological planning and design, but observed extremes may be inaccurate or false due to errors. This investigation presents a quality control method for observed extremes using space-time statistical methods, including a Box-Cox transformation and spatial variogram. Detected outliers are compared with radar and discharge observations to remove implausible extremes.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2022)

Article Geosciences, Multidisciplinary

The use of personal weather station observations to improve precipitation estimation and interpolation

Andras Bardossy, Jochen Seidel, Abbas El Hachem

Summary: The study investigates the applicability of personal weather station data for spatial precipitation interpolation using indicator correlations and rank statistics. By selecting stations based on high precipitation indicators and examining their spatial pattern, the study achieves accurate interpolation of precipitation amounts.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)

Article Water Resources

Tracking and simulation of gross solids transport in sewers

Roni Penn, Manfred Schuetze, Alex Jens, Eran Friedler

URBAN WATER JOURNAL (2018)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)