Informing regional water-energy-food nexus with system analysis and interactive visualization – A case study in the Great Ruaha River of Tanzania

Yang, Y. C. E.; Wi, Sungwook

doi:10.1016/j.agwat.2017.10.022

Cited by 39 publications

(23 citation statements)

References 25 publications

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“…; Wada et al. ; Yang and Wi ). They have also been shown to be effective at facilitating stakeholder‐driven modeling processes that help improve conceptualization of the water system, especially in transboundary river basins (Khan et al.…”

Section: Next Steps For Climate Change Risk Managementmentioning

confidence: 99%

“…; Ray et al. ; Yang and Wi ). Sankey, or alluvial, diagrams (Schmidt ) are multivariate visualization techniques that are structurally similar to parallel coordinate plots, with the addition that results can be weighted (lines thickened) to show emphasis.…”

Section: Next Steps For Climate Change Risk Managementmentioning

confidence: 99%

“…Correspondingly, there has been great interest in coupling process-based hydrologic models to human water-resource systems models to better represent the reciprocal interactions and coevolution of the natural and human water systems. Coupled human-hydrologic models have proven useful to address a variety of water management challenges related to infrastructure operation, demand management, river restoration, climate change, and the regional water-energy-food nexus (Tomsic et al 2007;Null et al 2014;Nelson et al 2016;Yang et al 2016;Wada et al 2017;Yang and Wi 2018). They have also been shown to be effective at facilitating stakeholder-driven modeling processes that help improve conceptualization of the water system, especially in transboundary river basins (Khan et al 2017).…”

Section: Coupled Human-hydrologic Modelingmentioning

confidence: 99%

“…Following on the work of Kasprzyk et al (2013), interactive parallel coordinate plots have been used for visualization of multidimensional tradeoffs in stakeholder interaction games (e.g., Matrosov et al 2015;Yang et al 2016;Ray et al 2018;Yang and Wi 2018). Sankey, or alluvial, diagrams (Schmidt 2008) are multivariate visualization techniques that are structurally similar to parallel coordinate plots, with the addition that results can be weighted (lines thickened) to show emphasis.…”

Section: Interactive Data Visualizationmentioning

confidence: 99%

See 3 more Smart Citations

Growth of the Decision Tree: Advances in Bottom‐Up Climate Change Risk Management

Ray

Taner

Schlef

et al. 2018

J American Water Resour Assoc

Self Cite

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There has recently been a return in climate change risk management practice to bottom‐up, robustness‐based planning paradigms introduced 40 years ago. The World Bank's decision tree framework (DTF) for “confronting climate uncertainty” is one incarnation of those paradigms. In order to better represent the state of the art in climate change risk assessment and evaluation techniques, this paper proposes: (1) an update to the DTF, replacing its “climate change stress test” with a multidimensional stress test; and (2) the addition of a Bayesian network framework that represents joint probabilistic behavior of uncertain parameters as sensitivity factors to aid in the weighting of scenarios of concern (the combination of conditions under which a water system fails to meet its performance targets). Using the updated DTF, water system planners and project managers would be better able to understand the relative magnitudes of the varied risks they face, and target investments in adaptation measures to best reduce their vulnerabilities to change. Next steps for the DTF include enhancements in: modeling of extreme event risks; coupling of human‐hydrologic systems; integration of surface water and groundwater systems; the generation of tradeoffs between economic, social, and ecological factors; incorporation of water quality considerations; and interactive data visualization.

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Section: Next Steps For Climate Change Risk Managementmentioning

confidence: 99%

Section: Next Steps For Climate Change Risk Managementmentioning

confidence: 99%

Section: Coupled Human-hydrologic Modelingmentioning

confidence: 99%

Section: Interactive Data Visualizationmentioning

confidence: 99%

See 2 more Smart Citations

Growth of the Decision Tree: Advances in Bottom‐Up Climate Change Risk Management

Ray

Taner

Schlef

et al. 2018

J American Water Resour Assoc

Self Cite

View full text Add to dashboard Cite

show abstract

“…ABM allows the incorporation of differing levels of cooperation among diverse decisionmakers in the basin. While similar studies have been undertaken in East Africa and South Asia (Khan et al, 2017;Yang et al, 2014Yang et al, , 2016Yang & Wi, 2018), to the best of our knowledge, this is the first study that incorporates water, food (irrigated crops), energy (hydropower), and environmental concerns into a single modeling framework and applies it to the entire Niger River Basin. It is also the first study that attempts to quantify the sustainability of water availability in a conceptually coherent way for trade-offs analysis (at basin-wide, national, and regional levels) to support investment decisions.…”

Section: 1029/2018ef000923mentioning

confidence: 95%

Quantifying the Sustainability of Water Availability for the Water‐Food‐Energy‐Ecosystem Nexus in the Niger River Basin

Yang

Khan

et al. 2018

Earth's Future

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Water, food, energy, and the ecosystems they depend on interact with each other in highly complex and interlinked ways. These interdependencies can be traced particularly well in the context of a river basin, which is delineated by hydrological boundaries. The interactions are shaped by humans interacting with nature, and as such, a river basin can be characterized as a complex, coupled socioecological system. The Niger River Basin in West Africa is such a system, where water infrastructure development to meet growing water, food, and energy demands may threaten a productive and vulnerable basin ecosystem. These dynamic interactions remain poorly understood. Trade‐off analyses between different sectors and at different spatial scales are needed to support solution‐oriented policy analysis, particularly in transboundary basins. This study assesses the impact of climate and human/anthropogenic changes on the water, energy, food, and ecosystem sectors and characterizes the resulting trade‐offs through a set of generic metrics related to the sustainability of water availability. Results suggest that dam development can mitigate negative impacts from climate change on hydropower generation and also on ecosystem health to some extent.

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Environmental controls on Landsat‐derived phenoregions across an East African megatransect

2020

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Semiarid and savanna‐type (SAST) ecosystems in East Africa have unique plant species compositions and characteristics that make quantifying this biome's seasonality and interannual variability difficult. Phenoregion classification offers a way to use seasonality of vegetation growth to help understand the phenological spatial patterns of complex landscapes. Here, we used Normalized Difference Vegetation Index (NDVI) time series from Landsat 8 to map phenoregions in scenes centered around national parks from Mt. Kenya National Park (Kenya) to Limpopo National Park (Mozambique). We then assessed whether landscape‐scale controls on phenology are consistent across the region or whether they vary across this latitudinal gradient. We compared our phenoregion maps to MODIS Land Cover and geology, and we used multinomial logistic regression to determine the role that elevation, slope, aspect, and geology play in driving phenological differences. The sites' phenoregions showed no unique land cover composition, suggesting that MODIS land cover does not capture the subtle variations identified in phenoregion analysis. Multinomial logistic regression showed that geographic trend (x‐ and y‐directions) was a strong predictor in four of the five landscapes and that, depending on the scene, geology, elevation, or aspect was a strong secondary predictor. Using seasonality of the NDVI time series to generate phenoregions provides different and, in some cases, more ecologically relevant information, compared to vegetation maps that use only land cover from a single season or time period to generate ecoregions. With a significant population of humans and animals that live in and depend on SAST ecosystems, it is important to better understand vegetation processes and factors that affect them as climate change becomes an increasingly pertinent issue in dry systems.

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Informing regional water-energy-food nexus with system analysis and interactive visualization – A case study in the Great Ruaha River of Tanzania

Cited by 39 publications

References 25 publications

Growth of the Decision Tree: Advances in Bottom‐Up Climate Change Risk Management

Growth of the Decision Tree: Advances in Bottom‐Up Climate Change Risk Management

Quantifying the Sustainability of Water Availability for the Water‐Food‐Energy‐Ecosystem Nexus in the Niger River Basin

Environmental controls on Landsat‐derived phenoregions across an East African megatransect

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