Exploring spatial heterogeneity and temporal dynamics of human-hydrological interactions in large river basins with intensive agriculture: A tightly coupled, fully integrated modeling approach

Du, Erhu; Tian, Yong; Cai, Ximing; Zheng, Yi; Li, Xiaoqiong; Zheng, Chunmiao

doi:10.1016/j.jhydrol.2020.125313

Cited by 35 publications

(27 citation statements)

References 86 publications

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“…However, similar to those in other studies (e.g., Mulligan et al., 2014), the ABM in Du et al. (2020) was limited to the case in which a basin‐level centralized manager applies uniform policies to the entire river basin. In this study, we improve the ABM of Du et al.…”

Section: Introductionmentioning

confidence: 66%

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Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Tian

Cai

et al. 2022

Water Resources Research

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It is imperative to understand the interconnectedness of water use and hydrological impacts for water policy design underlying varying hydrological conditions across space and over time. However, such analysis remains difficult, constrained by the lack of appropriate modeling tools that fully integrate water policies, water use, and hydrological processes with high spatiotemporal resolutions. To address this challenge, this study proposes a distributed policy design scheme featuring spatially variable and temporally dynamic policies for conjunctive surface water‐groundwater management in large river basins. A fully integrated modeling framework is developed to tightly couple (a) an agent‐based model for farmers' water use under distributed water policies and (b) a physically based hydrological model for surface water‐groundwater processes. The modeling framework is applied to the Heihe River Basin to assess water use and hydrological impacts under distributed water policies. By using the distributed policy scheme to adjust a water policy (e.g., groundwater tax) across space and over time, we found that hydrological outcomes can be improved without adversely reducing agricultural water supply. For example, by shifting the implementation of a high groundwater tax from dry to wet years, a rise of the water table by 0.28 m (0.03–0.95 m across different irrigation districts) can be achieved while the total water supply is maintained at a similar level. Furthermore, hydrological externality effects among nearby districts can be explicitly identified and quantified based on assessments of spatially varying water policies. This study highlights the need for water policy design to consider spatiotemporal variations in the physical hydrological system.

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Section: Introductionmentioning

confidence: 66%

“…In this study, we improve the ABM of Du et al. (2020) by incorporating a distributed policy design scheme that includes multiple decentralized water management agents in the system. Each local water manager can adopt time‐varying policies in their administrative area.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Tian

Cai

et al. 2022

Water Resources Research

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“…Integrating monitoring, modeling and data manipulation and collaborating with multiple research teams, a fully integrated water-ecosystem-economy model and a spatially explicit decision-support system (DSS) have been put in place to identify, simulate and predict land management scenarios to define the water operation policies (Step 2). An agent-based model (ABM) was developed to simulate farmers' decisionmaking on conjunctive use of groundwater and surface water under the influence of policy portfolio with collective water management policies (Du et al, 2020). Such management scenarios include recommendation of modification of crop pattern in the middle reach oasis area, water exchange through market mechanisms among water users in the middle reach area to promotes efficient and beneficial water uses, approval of a proposed water allocation plan in the HRB to deliver 0.95 billion m 3 of water downstream annually for ecosystem rehabilitation by the State Council of China to address the downstream water shortages (Cheng et al, 2014;Li et al, 2018;Song, 2019;He et al, 2020).…”

Section: Application Of Watershed Sciencementioning

confidence: 99%

Watershed science: Linking hydrological science with sustainable management of river basins

James

2021

Sci. China Earth Sci.

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Over the past decades, a number of water sciences and management programs have been developed to better understand and manage the water cycles at multiple temporal and spatial scales for various purposes, such as ecohydrology, global hydrology, sociohydrology, supply management, demand management, and integrated water resources management (IWRM). At the same time, rapid advancements have also been taking place in tracing, mapping, remote sensing, machine learning, and modelling technologies in hydrological research. Despite those programs and advancements, a water crisis is intensifying globally. The missing link is effective interactions between the hydrological research and water resource management to support implementation of the UN Sustainable Development Goals (SDGs) at multiple spatial scales. Since the watershed is the natural unit for water resources management, watershed science offers the potential to bridge this missing link. This study first reviews the advances in hydrological research and water resources management, and then discusses issues and challenges facing the global water community. Subsequently, it describes the core components of watershed science: (1) hydrological analysis; (2) water-operation policies; (3) governance; (4) management and feedback. The framework takes into account water availability, water uses, and water quality; explicitly focuses on the storage, fluxes, and quality of the hydrological cycle; defines appropriate local water resource thresholds through incorporating the planetary boundary framework; and identifies specific actionable measures for water resources management. It provides a complementary approach to the existing water management programs in addressing the current global water crisis and achieving the UN SDGs.

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“…Of the 16 ABM-based studies that simulated noncooperative water use, 10 are based on optimizing agents [13,17,26,62,63,[65][66][67][68][69]. Three ABM studies, Schlueter and Pahl-Wostl [16], Khan et al [64], and Du et al [61], used heuristics while Becu et al [55] combined optimization with heuristics for decisions on rice planting and off-farm labor participation. The optimization approaches are theoretically strong but accused of seeing the human decision makers as rational optimizers with perfect foresight based on classical microeconomic theory.…”

Section: Decision Rules and Solution Algorithmsmentioning

confidence: 99%

“…Overall, the ABM-based studies put more focus on the biophysical processes where physically based distributed hydrological models are linked to simplified economic model. The agents in ABM studies are often defined as rule-based agents, meaning that water-related economic decisions draw on predefined heuristics [61,64]. This is mainly due to model tractability and computation time, especially with large numbers of agents.…”

Section: Agents' Behaviors Interactions Uncertainties and Spatio-tempmentioning

confidence: 99%

Modeling Non-Cooperative Water Use in River Basins

et al. 2021

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Conventional water use and management models have mostly emulated purposefully designed water use systems where centralized governance and rule-based cooperation of agents are assumed. However, water use systems, whether actively governed or not, involve multiple, independent decision makers with diverse and often conflicting interests. In the absence of adequate water management institutions to effectively coordinate decision processes on water use, water users’ behaviors are rather likely to be non-cooperative, meaning that actions by individual users generate externalities and lead to sub-optimal water use efficiency. The objective of this review is to evaluate the advantages and disadvantages of recently proposed modeling systems dealing with non-cooperative water use regarding their ability to realistically represent the features of complex hydrological and socioeconomic processes and their tractability in terms of modeling tools and computational efficiency. For that purpose, we conducted a systematic review of 47 studies that address non-cooperative water use in decentralized modeling approaches. Even though such a decentralized approach should aim to model decisions by individual water users in non-cooperative water use, we find that most studies assumed the presence of a coordinating agency or market in their model. It also turns out that most of these models employed a solution procedure that sequentially solved independent economic decisions based on pre-defined conditions and heuristics, while only few modeling approaches offered simultaneous solution algorithms. We argue that this approach cannot adequately capture economic trade-offs in resource allocation, in contrast to models with simultaneous solution procedures.

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Exploring spatial heterogeneity and temporal dynamics of human-hydrological interactions in large river basins with intensive agriculture: A tightly coupled, fully integrated modeling approach

Cited by 35 publications

References 86 publications

Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Watershed science: Linking hydrological science with sustainable management of river basins

Modeling Non-Cooperative Water Use in River Basins

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