47 shared publications
Department of Geographical Sciences, University of Maryland
Distribution of Articles published per year
(2011 - 2018)
(2011 - 2018)
Total number of journals
Publications See all
Article 0 Reads 0 Citations Quantifying the impact of diet quality on hunger and undernutrition Published: 01 December 2018
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2018.09.064
Article 0 Reads 1 Citation Recent global decline in endorheic basin water storages Published: 30 November 2018
Nature Geoscience, doi: 10.1038/s41561-018-0265-7
Article 0 Reads 0 Citations Balancing clean water-climate change mitigation trade-offs Published: 21 November 2018
Environmental Research Letters, doi: 10.1088/1748-9326/aaf2a3
Article 0 Reads 0 Citations Multimodel assessments of human and climate impacts on mean annual streamflow in China Published: 15 October 2018
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2018-525
Human activities, as well as climate change, have had increasing impacts on natural hydrological systems, particularly streamflow. However, quantitative assessments of these impacts are lacking on large scales. In this study, we use the simulations from six global hydrological models driven by three meteorological forcings to investigate direct human impact (DHI) and climate change impact on streamflow in China. Results show that, in the sub-periods of 1971–1990 and 1991–2010, one-fifth to one-third of mean annual streamflow (MAF) reduced due to DHI in northern basins and much smaller (<4%) MAF reduced in southern basins. From 1971–1990 to 1991–2010, total MAF changes range from −13% to 10% across basins, wherein the relative contributions of DHI change and climate change show distinct spatial patterns. DHI change caused decreases in MAF in 70% of river segments, but climate change dominated the total MAF changes in 88% of river segments of China. In most northern basins, climate change results in changes of −9% to 18% of MAF, while DHI change results in decreases of 2% to 8% in MAF. In contrast with the impacts of climate change that may increase or decrease streamflow, DHI change almost always contributes to decreases in MAF over time, wherein water withdrawals are supposed to be the major impact on streamflow. This quantitative assessment can be a reference for attribution of streamflow changes at large scales despite uncertainty remains. We highlight the significant DHI in northern basins and the necessity to modulate DHI through improved water management towards a better adaptation to future climate change.
Article 0 Reads 1 Citation A Continental-Scale Hydroeconomic Model for Integrating Water-Energy-Land Nexus Solutions Published: 11 October 2018
Water Resources Research, doi: 10.1029/2017wr022478
This study presents the development of a new bottom‐up large‐scale hydro‐economic model, Extended Continental‐scale Hydro‐economic Optimization (ECHO), that works at a sub‐basin scale over a continent. The strength of ECHO stems from the integration of a detailed representation of local hydrological and technological constraints with regional and global policies, while accounting for the feedbacks between water, energy and agricultural sectors. In this study, ECHO has been applied over Africa as a case study with the aim of demonstrating the benefits of this integrated hydro‐economic modeling framework. Results of this framework are overall consistent with previous findings evaluating the cost of water supply and adaptation to global changes in Africa. Moreover, results provide critical assessments of future investment needs in both supply and demand side water management options, economic implications of contrasting future socio‐economic and climate change scenarios, and the potential tradeoffs among economic and environmental objectives. Overall, this study demonstrates the capacity of ECHO to address challenging research questions examining the sustainability of water supply, and the impacts of water management on energy and food sectors and vice versa. As such, we propose ECHO as useful tool for water‐related scenario analysis and management options evaluation.
Article 0 Reads 0 Citations Trade-offs between crop-related (physical and virtual) water flows and the associated economic benefits and values: a ca... Published: 20 September 2018
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2018-436
Water issues in many river basins associated with droughts, water over-exploitation and pollution are increasingly being driven by remote pressures through intensified virtual water (VW) flows. However, little attention has been paid to the internal trade-offs between the (physical and virtual) water flows and the associated economic benefits and incomes that the water generated. Here we estimate the concomitant reversed flows of economic benefits and values to the physical and VW flows in crop production and consumption at a basin level, by taking the Yellow River Basin (YRB) in both current three typical years (2003, 2004, and 2006, which were dry, average, and wet, respectively) and possible four scenarios for 2050 under climate-socio-economic changes as the study case. An algorithm for estimation of the economic net benefits of green and blue water use for crop production based on the water footprint (WF) accounting is developed. Results show that the net benefit of blue water (irrigation) was 13–42% lower than that of green water used in irrigated croplands in the basin. Cropping pattern has defined the spatial heterogeneity in the levels of net benefits of water used for crops within the YRB. Provinces located in the relatively drier upper and middle reaches had high irrigation withdrawal rates while a low economic return to farmers because of growing relatively cheap crops. The YRB got increasingly net income due to exports of wheat, cotton and apples even though as a crop-related net VW importer associated to the intra-national trades. Considered scenarios for 2050 suggested that the economic returns of crop-related physical and VW flows were more sensitive than the quantity levels of corresponding water flows. This study implies the importance of managing the internal trade-offs or mutual effects between the water resources consumption and economic returns, in order to get a win-win situation in maximizing both the water use efficiency and economic productivities per drop of water flows.