Your search found 6 records
1 Al-Sakkaf, R.; Zhou, Y.; Hall, M. J. 1999. A strategy for controlling groundwater depletion in the Sa'dah Plain, Yemen. International Journal of Water Resources Development, 15(3):349-365.
Groundwater depletion ; Groundwater irrigation ; Hydrology ; Geology ; Wells ; Simulation models ; Water demand ; Water law ; Water resource management ; Sustainability / Yemen / Sa'dah Plain
(Location: IWMI-HQ Call no: PER Record No: H024539)
2 Lebel, P.; Lebel, L.; Singphonphrai, D.; Duangsuwan, C.; Zhou, Y.. 2019. Making space for women: civil society organizations, gender and hydropower development in the Mekong region. International Journal of Water Resources Development, 35(2):304-324. [doi: https://doi.org/10.1080/07900627.2018.1425133]
Gender ; Women's participation ; Empowerment ; Civil society organizations ; Hydropower ; Development projects ; Nongovernmental organizations ; Partnerships ; Negotiation ; Awareness raising / Cambodia / China / Lao People's Democratic Republic / Myanmar / Thailand / Vietnam / Mekong Region
(Location: IWMI HQ Call no: e-copy only Record No: H049091)
(0.75 MB)
Large-scale hydropower development disrupts local livelihoods and resource access. Adverse impacts are often greater for women than men, but also large for children, the elderly, poorer households and ethnic minorities. Burdens of resettlement often fall disproportionately on already disadvantaged individuals. The purpose of this study was to evaluate how international, national and local civil society organizations (CSOs) have addressed gender in hydropower development in the Mekong Region. Four CSO orientations are distinguished: communitarian, environmentalist, knowledge-based and feminist. Common activities of CSOs were to share information, to expand participation and to mobilize development. The extent to which these activities were promoted and appear to be making space for women depended on the types of CSOs and women and men targeted or otherwise involved.
3 Zhou, Y.; Zaitchik, B. F.; Kumar, S. V.; Arsenault, K. R.; Matin, M. A.; Qamer, F. M.; Zamora, R. A.; Shakya, K. 2021. Developing a hydrological monitoring and sub-seasonal to seasonal forecasting system for South and Southeast Asian river basins. Hydrology and Earth System Sciences, 25(1):41-61. [doi: https://doi.org/10.5194/hess-25-41-2021]
Hydrology ; Monitoring ; Forecasting ; River basins ; Precipitation ; Drought ; Indicators ; Soil moisture ; Estimation ; Meteorological factors ; Satellite observation ; Models / South Asia / Southeast Asia / Helmand Basin / Indus Basin / Ganges Basin / Brahmaputra Basin / Mekong Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050187)
https://hess.copernicus.org/articles/25/41/2021/hess-25-41-2021.pdf
https://vlibrary.iwmi.org/pdf/H050187.pdf
https://vlibrary.iwmi.org/pdf/H050187.pdf
(4.23 MB) (4.23 MB)
South and Southeast Asia is subject to significant hydrometeorological extremes, including drought. Under rising temperatures, growing populations, and an apparent weakening of the South Asian monsoon in recent decades, concerns regarding drought and its potential impacts on water and food security are on the rise. Reliable sub-seasonal to seasonal (S2S) hydrological forecasts could, in principle, help governments and international organizations to better assess risk and act in the face of an oncoming drought. Here, we leverage recent improvements in S2S meteorological forecasts and the growing power of Earth observations to provide more accurate monitoring of hydrological states for forecast initialization. Information from both sources is merged in a South and Southeast Asia sub-seasonal to seasonal hydrological forecasting system (SAHFS-S2S), developed collaboratively with the NASA SERVIR program and end users across the region. This system applies the Noah-Multiparameterization (NoahMP) Land Surface Model (LSM) in the NASA Land Information System (LIS), driven by downscaled meteorological fields from the Global Data Assimilation System (GDAS) and Climate Hazards InfraRed Precipitation products (CHIRP and CHIRPS) to optimize initial conditions. The NASA Goddard Earth Observing System Model sub-seasonal to seasonal (GEOS-S2S) forecasts, downscaled using the National Center for Atmospheric Research (NCAR) General Analog Regression Downscaling (GARD) tool and quantile mapping, are then applied to drive 5 km resolution hydrological forecasts to a 9-month forecast time horizon. Results show that the skillful predictions of root zone soil moisture can be made 1 to 2 months in advance for forecasts initialized in rainy seasons and up to 8 months when initialized in dry seasons. The memory of accurate initial conditions can positively contribute to forecast skills throughout the entire 9-month prediction period in areas with limited precipitation. This SAHFS-S2S has been operationalized at the International Centre for Integrated Mountain Development (ICIMOD) to support drought monitoring and warning needs in the region.
4 Gao, J.; Li, Z.; Chen, Z.; Zhou, Y.; Liu, W.; Wang, L.; Zhou, J. 2021. Deterioration of groundwater quality along an increasing intensive land use pattern in a small catchment. Agricultural Water Management, 253:106953. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.106953]
Groundwater ; Water quality ; Land use change ; Catchment areas ; Chemical analysis ; Nitrates ; Ions ; Stable isotopes ; Farmland ; Vegetation ; Fertilizers ; Contamination ; Wells / China / Shaanxi / Yujiahe Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050383)
(5.25 MB)
Land use change has greatly influenced groundwater quality worldwide. Identifying the effects of different intensive land uses on the groundwater quality is the first step in taking proper action to solve the problem. In this study, we compared the effects of different intensive land uses (region A, natural vegetation; region B, cereal fields; region C, kiwifruit orchards) in the Yujiahe catchment between 2015 and 2017 in Shaanxi, China, on the major ions and stable isotopes of nitrate (d15N–NO3– and d18O–NO3–). The NO3- groundwater concentrations increased from region A to region B and region C; NO3- concentrations in shallow groundwater were higher than those of deep groundwater in region C (55.3 vs. 28.9 mg/L, respectively). The NO3- concentrations in region A and region B did not exceed the WHO standard of 50 mg/L. However, 56.3% and 22.2% of the shallow and deep groundwater samples have NO3- concentrations exceeding the standard in region C, respectively. The average electrical conductivity (EC) values of springs in region A and shallow groundwater in regions B and C were 438, 525, and 753 µs/cm, respectively. Concentrations of Ca2+, Mg2+, Na+, Cl-, and HCO3- ions and nitrogen isotope values increased from region A to region C, indicating that intensive land use change has modified groundwater hydrochemical composition, and deteriorated groundwater quality. This study has highlighted the significant effect of intensive land use of orchards at the small catchment scale on the groundwater quality.
5 Prayag, A. G.; Zhou, Y.; Srinivasan, V.; Stigter, T.; Verzijl, A. 2023. Assessing the impact of groundwater abstractions on aquifer depletion in the Cauvery Delta, India. Agricultural Water Management, 279:108191. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108191]
Aquifers ; Groundwater depletion ; Groundwater extraction ; Salinity ; Precipitation ; Cropping patterns ; Models ; Groundwater flow ; Groundwater table ; Sustainability / India / Tamil Nadu / Cauvery Delta
(Location: IWMI HQ Call no: e-copy only Record No: H051698)
https://www.sciencedirect.com/science/article/pii/S0378377423000562/pdfft?md5=60afde546f528fdcf2ab2bf4d60c5fe5&pid=1-s2.0-S0378377423000562-main.pdf
https://vlibrary.iwmi.org/pdf/H051698.pdf
https://vlibrary.iwmi.org/pdf/H051698.pdf
(12.20 MB) (12.2 MB)
Many of the world’s deltas are highly productive areas for agriculture as well as important places of socio-economic development but are currently under stress. This study assesses the impacts of stresses on groundwater pumping, changing cropping patterns, and saltwater intrusion on groundwater resources in the Cauvery Delta in Tamil Nadu, India. A transient groundwater flow model of the delta was constructed for this assessment. The historical changes in groundwater resources in response to decreasing irrigation canal flows and increasing groundwater abstractions were assessed for the past 30 years. Furthermore, the model was used to formulate and analyze future sustainable groundwater development scenarios. Farmers’ narratives about a drying delta, as they experience water scarcity and quality issues most closely, were ascertained in the research. Farmers have abandoned many shallow wells in their fields. The model simulation shows groundwater levels are decreasing and aquifer storage depleting. Furthermore, salinization has increased, with continuous declining groundwater levels in the deep aquifer from 1990 to 2019. A more robust hydro-chemical assessment and further modeling of seawater intrusion are needed to better assess the sources and distribution of groundwater salinity. The pathway for future sustainability requires enhancing groundwater recharge in the shallow aquifer and controlling groundwater abstraction in the deep aquifers.
6 Xu, X.; Chen, Y.; Zhou, Y.; Liu, W.; Zhang, X.; Li, M. 2023. Sustainable management of agricultural water rights trading under uncertainty: an optimization-evaluation framework. Agricultural Water Management, 280:108212. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108212]
Water rights ; Uncertainty ; Optimization methods ; Evaluation ; Water resources ; Irrigation water ; Hydrological cycle ; Models ; Evapotranspiration ; Economic benefits ; Water supply ; Water demand ; Water use ; Indicators ; Water footprint ; Carbon footprint ; Water allocation ; Sustainable development ; Rice / China / Heilongjiang
(Location: IWMI HQ Call no: e-copy only Record No: H051718)
https://www.sciencedirect.com/science/article/pii/S037837742300077X/pdfft?md5=3053b49293b0c5e8a5380876d7685ede&pid=1-s2.0-S037837742300077X-main.pdf
https://vlibrary.iwmi.org/pdf/H051718.pdf
https://vlibrary.iwmi.org/pdf/H051718.pdf
(5.41 MB) (5.41 MB)
The optimal allocation of agricultural water rights is of great importance in promoting the efficient management of water resources in irrigation areas. In the process of agricultural water rights allocation, problems develop when the dynamics and uncertainties caused by changes in water cycle elements are ignored. To balance socioeconomic development and environmental protection, this study develops a model framework for evaluating and optimizing the synergistic management of agricultural water rights allocation trading under multiple uncertainties (AWRAS-TCME). The model is capable of reflecting the dynamic changes in meteorological and hydrological factors such as rainfall, evapotranspiration and runoff and quantitatively measures the synergistic effect of multidimensional objectives of the economy-society-resources-environment on water rights allocations and transactions. The AWRAS-TCME model integrates a two-level multiobjective nonlinear programming model and a projection tracking model into a framework to measure the fairness and economic benefits of water rights allocation based on an analysis of the sustainability of water rights prices in multiple dimensions, fully considering the influence of uncertainties in hydrological and social systems. The model was applied to an actual irrigation area, and the results showed that (1) total optimized water rights allocation was reduced by 4.7–20.9% at different levels of water supply and demand; (2) the total volume of water rights transfer among regions was increased by 4.8%-12.9%, and the trading volume of the water rights market was increased to account for 5%-16.2% of the total revenue; and (3) the optimal net income of water rights allocation was increased by 1.2%-3.3%, and the equity of water rights allocation was increased by 0.06–0.09. The developed model promotes the sustainable utilization of agricultural water resources in irrigated areas.
Powered by DB/Text WebPublisher, from
