Your search found 10 records
1 Yang, X.; Parent, E.; Michel, C.; Roche, P. A. 1995. Comparison of real-time reservoir-operation techniques. Journal of Water Resources Planning and Management, 121(5):345-351.
(Location: IWMI-HQ Call no: PER Record No: H017134)
2 Yang, X.; Zhou, Q.; Melville, M. 2000. An integrated drainage network analysis system for agricultural drainage management: Part 1 - The system. Agricultural Water Management, 45(1):73-86.
Drainage ; Networks ; Analysis ; Flood plains ; Drains ; Models ; GIS ; Remote sensing ; Monitoring ; Simulation ; Water balance ; Evapotranspiration / Australia / New South Wales / McLeods Creek
(Location: IWMI-HQ Call no: PER Record No: H026110)
3 Yang, X.; Zhou, Q.; Melville, M. 2000. An integrated drainage network analysis system for agricultural drainage management: Part 2 - The application. Agricultural Water Management, 45(1):87-100.
Drainage ; Networks ; Analysis ; GIS ; Flood plains ; Watersheds ; Catchment areas ; Water balance ; Water table ; Simulation ; Sugarcane ; Drains ; Case studies / Australia / New South Wales / McLeods Creek
(Location: IWMI-HQ Call no: PER Record No: H026111)
4 Heilig, G.; Reidinger, R.; Yang, X.; Yan, J.; Hu, Y. 2000. Water eco-development strategies in China. In Wang, R.; Ren, H.; Ouyang, Z. (Eds.), China water vision: The eco-sphere of water, life, environment and development. Beijing, China: China Meteorological Press. pp.125-163.
Water shortage ; Water deficit ; Precipitation ; Population ; River basins ; Siltation ; Irrigation efficiency ; Evapotranspiration ; Irrigated farming ; Water resource management ; Strategy planning / China
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026837)
5 Slika, J. W. F.; Arroyo-Rodriguezb, V.; Aibac, S.-I.; Alvarez-Loayzad, P.; Alvese, L. F.; Ashton, P.; Balvanera, P.; Bastian, M. L.; Bellingham, P. J.; van den Berg, E.; Bernacci, L.; da Conceicao Bispo, P.; Blanc, L.; Bohning-Gaese, K.; Boeckx, P.; Bongers, F.; Boyle, B.; Bradford, M.; Brearley, F. Q.; Hockemba, M. B.-N.; Bunyavejchewin, S.; Matos, D. C. L.; Castillo-Santiago, M.; Catharino, E. L. M.; Chai, S.-L.; Chen, Y.; Colwell, R. K.; Robin, C. L.; Clark, C.; Clark, D. B.; Clark, D. A.; Culmsee, H.; Damas, K.; Dattaraja, H. S.; Dauby, G.; Davidar, P.; DeWalt, S. J.; Doucet, J.-L.; Duque, A.; Durigan, G.; Eichhorn, K. A. O.; Eisenlohr, P. V.; Eler, E.; Ewango, C.; Farwig, N.; Feeley, K. J.; Ferreira, L.; Field, R.; de Oliveira Filho, A. T.; Fletcher, C.; Forshed, O.; Franco, G.; Fredriksson, G.; Gillespie, T.; Gillet, J.-F.; Amarnath, Giriraj; Griffith, D. M.; Grogan, J.; Gunatilleke, N.; Harris, D.; Harrison, R.; Hector, A.; Homeier, J.; Imai, N.; Itoh, A.; Jansen, P. A.; Joly, C. A.; de Jong, B. H. J.; Kartawinata, K.; Kearsley, E.; Kelly, D. L.; Kenfack, D.; Kessler, M.; Kitayama, K.; Kooyman, R.; Larney, E.; Laumonier, Y.; Laurance, S.; Laurance, W. F.; Lawes, M. J.; do Amaral, I . L.; Letcher, S. G.; Lindsell, J.; Lu, X.; Mansor, A.; Marjokorpi, A.; Martin, E. H.; Meilby, H.; Melo, F. P. L.; Metcalfea, D. J.; Medjibe, V. P.; Metzger, J. P.; Millet, J.; Mohandass, D.; Montero, J. C.; de Morisson Valeriano, M.; Mugerwa, B.; Nagamasu, H.; Nilus, R.; Onrizal, S. O.-G.; Page, N.; Parolin, P.; Parren, M.; Parthasarathy, N.; Paudel, E.; Permana, A.; Piedade, M. T. F.; Pitman, N. C. A.; Poorter, L.; Poulsen, A. D.; Poulsen, J.; Powers, J.; Prasad, R. C.; Puyravaud, J.-P.; Razafimahaimodison, J.-C.; Reitsma, J.; dos Santos, J. R.; Spironello, W. R.; Romero-Saltos, H.; Rovero, F.; Rozak, A. H.; Ruokolainen, K.; Rutishauser, E.; Saiter, F.; Saner, P.; Santos, B. A.; Santos, F.; Sarker, S. K.; Satdichanh, M.; Schmitt, C. B.; Schongart, J.; Schulze, M.; Suganuma, M. S.; Sheil, D.; da Silva Pinheiro, E.; Sist, P.; Stevart, T.; Sukumar, R.; Sun, I.-F.; Sunderand, T.; Suresh, H. S.; Suzuki, E.; Tabarelli, M.; Tang, J.; Targhetta, N.; Theilade, I.; Thomas, D. W.; Tchouto, P.; Hurtado, J.; Valencia, R.; van Valkenburg, J. L. C. H.; Van Do, T.; Vasquez, R.; Verbeeck, H.; Adekunle, V.; Vieira, S. A.; Webb, C. O.; Whitfeld, T.; Wich, S. A.; Williams, J.; Wittmann, F.; Woll, H.; Yang, X.; Yao, C. Y. A.; Yap, S. L.; Yoneda, T.; Zahawi, R. A.; Zakaria, R.; Zang, R.; de Assis, R. L.; Luize, B. G.; Venticinque, E. M. 2015. An estimate of the number of tropical tree species. Proceedings of the National Academy of Sciences of the United States of America, 112(24):7472-7477. [doi: https://doi.org/10.1073/pnas.1423147112]
(Location: IWMI HQ Call no: e-copy only Record No: H047084)
6 Durand, M.; Chen, C.; Frasson, R. P. D. M.; Pavelsky, T. M.; Williams, B.; Yang, X.; Fore, A. 2020. How will radar layover impact SWOT [Surface Water and Ocean Topography] measurements of water surface elevation and slope, and estimates of river discharge? Remote Sensing of Environment, 247:111883. (Online first) [doi: https://doi.org/10.1016/j.rse.2020.111883]
Surface water ; Rivers ; Discharges ; Estimation ; Slope ; Digital elevation models ; Uncertainty ; Topography ; Hydrology ; Interferometry ; Radar imagery
(Location: IWMI HQ Call no: e-copy only Record No: H049831)
(6.71 MB)
Water surface elevation (WSE), slope and width measurements from the forthcoming Surface Water and Ocean Topography (SWOT) mission will enable spaceborne estimates of global river discharge. WSE will be measured by interferometric synthetic aperture radar (InSAR). InSAR measurements are vulnerable to contamination from layover, a phenomenon wherein radar returns from multiple locations arrive at the sensor simultaneously, rendering them indistinguishable. This study assesses whether layover will significantly impact the precision of SWOT estimates of global river discharge. We present a theoretical river layover uncertainty model at the scale of nodes and reaches, which constitute nominal 200 m and 10 km averages, respectively, along river centerlines. The model is calibrated using high-resolution simulations of SWOT radar interaction with topography covering a total of 41,233 node observations, across a wide range of near-river topographic features. We find that height uncertainty increases to a maximum value at relatively low values of topographic standard deviation and varies strongly with position in the swath. When applied at global scale, the calibrated model shows that layover causes expected height uncertainty to increase by only a modest amount (from 9.4 to 10.4 cm at the 68th percentile). The 68th percentile of the slope uncertainty increases more significantly, from 10 to 17 mm/km. Nonetheless, the 68th percentile discharge uncertainty increases only marginally. We find that the impact of layover on SWOT river discharge is expected to be small in most environments.
7 Petrik, L. F.; Ngo, H. H.; Varjani, S.; Osseweijer, P.; Xevgenos, D.; van Loosdrecht, M.; Smol, M.; Yang, X.; Mateo-Sagasta, Javier. 2022. From wastewater to resource. One Earth, 5(2):122-125. [doi: https://doi.org/10.1016/j.oneear.2022.01.011]
Wastewater treatment ; Resource recovery ; Waste management ; Circular economy ; Water reuse ; Technology ; Water pollution ; Carbon ; Food production ; Phosphorus ; Urban areas
(Location: IWMI HQ Call no: e-copy only Record No: H050957)
https://www.sciencedirect.com/science/article/pii/S2590332222000495/pdfft?md5=3c88f3429cceff9679fbce10d493771e&pid=1-s2.0-S2590332222000495-main.pdf
https://vlibrary.iwmi.org/pdf/H050957.pdf
https://vlibrary.iwmi.org/pdf/H050957.pdf
(0.90 MB) (921 KB)
Eighty percent of wastewater is left untreated or not reused, exacerbating the water quality challenge, especially in vulnerable communities. This Voices asks: how can we improve wastewater management and convert wastewater into a resource?
8 Qian, Y.; Chakraborty, T. C.; Li, J.; Li, D.; He, C.; Sarangi, C.; Chen, F.; Yang, X.; Leung, L. R. 2022. Urbanization impact on regional climate and extreme weather: current understanding, uncertainties, and future research directions. Advances in Atmospheric Sciences, 39(6):819-860. [doi: https://doi.org/10.1007/s00376-021-1371-9]
Climate change ; Extreme weather events ; Urbanization ; Uncertainty ; Precipitation ; Air temperature ; Air pollution ; Air quality ; Towns ; Satellite observation ; Meteorological stations ; Heat stress ; Surface temperature ; Vegetation ; Land cover ; Land use ; Boundary layers ; Turbulence ; Models / China
(Location: IWMI HQ Call no: e-copy only Record No: H051076)
https://link.springer.com/content/pdf/10.1007/s00376-021-1371-9.pdf
https://vlibrary.iwmi.org/pdf/H051076.pdf
https://vlibrary.iwmi.org/pdf/H051076.pdf
(3.73 MB) (3.73 MB)
Urban environments lie at the confluence of social, cultural, and economic activities and have unique biophysical characteristics due to continued infrastructure development that generally replaces natural landscapes with built-up structures. The vast majority of studies on urban perturbation of local weather and climate have been centered on the urban heat island (UHI) effect, referring to the higher temperature in cities compared to their natural surroundings. Besides the UHI effect and heat waves, urbanization also impacts atmospheric moisture, wind, boundary layer structure, cloud formation, dispersion of air pollutants, precipitation, and storms. In this review article, we first introduce the datasets and methods used in studying urban areas and their impacts through both observation and modeling and then summarize the scientific insights on the impact of urbanization on various aspects of regional climate and extreme weather based on more than 500 studies. We also highlight the major research gaps and challenges in our understanding of the impacts of urbanization and provide our perspective and recommendations for future research priorities and directions.
9 Ali, W.; Zhang, H.; Mao, K.; Shafeeque, Muhammad; Aslam, M. W.; Yang, X.; Zhong, L.; Feng, X.; Podgorski, J. 2022. Chromium contamination in paddy soil-rice systems and associated human health risks in Pakistan. Science of the Total Environment, 826:153910. [doi: https://doi.org/10.1016/j.scitotenv.2022.153910]
Chromium ; Contamination ; Paddy soils ; Rice fields ; Human health ; Health hazards ; Risk assessment ; Metals ; Physicochemical properties ; Bioaccumulation factor ; Translocation ; Modelling / Pakistan / Sindh / Punjab
(Location: IWMI HQ Call no: e-copy only Record No: H051385)
(1.81 MB)
Chromium (Cr) contamination in paddy soil-rice systems threatens human health through the food chain. This study used a new dataset of 500 paddy soil and plant tissue samples collected in the rice-growing regions of Sindh and Punjab Provinces of Pakistan. Overall, 97.4% of grain samples exceeded the Cr threshold values of 1.0 mg kg-1, determined by the China National Food Standard (CNFS). The Cr in paddy soil, 62.6% samples exceeding the China natural background threshold value (90 mg kg-1) for Cr concentration in paddy soil, and lower than the (pH-dependant > 7.5 threshold value for Cr 350 mg kg-1) as determined by China Environmental Quality Standards (EQSs) for paddy soil (GB15618-2018). Geographically weighted regression (GWR) modelling showed spatially nonstationary correlations, confirming the heterogeneous relationship between dependent (rice grain Cr) and independent paddy soil (pH, SOM, and paddy soil Cr) and plant tissue variables (shoot Cr and root Cr) throughout the study area. The GWR model was then used to determine the critical threshold (CT) for the measured Cr concentrations in the paddy soil system. Overall, 38.4% of paddy soil samples exceeding CT values confirm that the paddy soil Cr risk prevails in the study area. Furthermore, the GWR model was applied to assess the loading capacity (LC), the difference between the CT, and the actual concentration of Cr in paddy soil. Loading capacity identified potential paddy soil Cr pollution risk to rice grain and assessed the risk areas. Overall LC% of samples paddy soil Cr risk areas grade: low-risk grade I (34.6%); moderate-risk grade II (15.8%); high-risk grade III (11.2%); and very high-risk grade IV (38.4%) have been assessed in the study area.
The human health index, total hazard quotient (THQ « 1), indicates no potential health risk originating from Cr exposure to the population. However, the excess Cr level in paddy soil and rice grain is still a concern. The current study's results are also valuable for the national decision-making process regarding Cr contamination in the paddy soil-rice system.
The human health index, total hazard quotient (THQ « 1), indicates no potential health risk originating from Cr exposure to the population. However, the excess Cr level in paddy soil and rice grain is still a concern. The current study's results are also valuable for the national decision-making process regarding Cr contamination in the paddy soil-rice system.
10 Li, M.; Yang, X.; Wu, F.; Babuna, P. 2022. Spatial equilibrium-based multi-objective optimal allocation of regional water resources. Journal of Hydrology: Regional Studies, 44:101219. [doi: https://doi.org/10.1016/j.ejrh.2022.101219]
Water resources ; Water allocation ; Spatial equilibrium analysis ; Water conservation ; Water supply ; Water demand ; Towns ; Water use ; Decision making ; Socioeconomic development ; Environmental impact ; Economic benefits ; Indicators ; Case studies ; Models ; Uncertainty / China / Guangdong
(Location: IWMI HQ Call no: e-copy only Record No: H051484)
https://www.sciencedirect.com/science/article/pii/S2214581822002324/pdfft?md5=b291269772a0b77d86b7fb377373fd73&pid=1-s2.0-S2214581822002324-main.pdf
https://vlibrary.iwmi.org/pdf/H051484.pdf
https://vlibrary.iwmi.org/pdf/H051484.pdf
(9.30 MB) (9.30 MB)
Study region: Guangdong Province in China.
Study focus: Water shortages due to the spatially uneven distribution of water resources have become the main obstacle to the sustainable development of regional society and the economy. To alleviate this problem, this study developed a framework including prediction, optimization, and decision-making models to allocate available water resources among the different sectors of the cities in the region. The framework was advantageous in efficiently predicting future water demand and supply for multiple cities, quantitatively reflecting the level of the spatial equilibrium of water allocation (SEWA) through coupling coordination degree (CCD), and achieving a higher level of SEWA rather than just the equitable water distribution.
New hydrological insights for the region: The results indicated that: (i) by 2030, the deficit of water supply and demand of Guangdong Province would be further aggravated, with a water shortage rate of 4.18%; (ii) by optimal water allocation, the water shortage rate of Guangdong Province decreased to 1.56% and the level of SEWA improved significantly from moderate equilibrium to good equilibrium; and (iii) from 2018 to 2030, key water-saving sectors in different cities were identified, while the industrial sector had a higher water-saving intensity than other water use sectors. This study could provide references for integrated water allocation strategies to realize the coordinated development of socioeconomic and environmental systems in other regions of the world.
Study focus: Water shortages due to the spatially uneven distribution of water resources have become the main obstacle to the sustainable development of regional society and the economy. To alleviate this problem, this study developed a framework including prediction, optimization, and decision-making models to allocate available water resources among the different sectors of the cities in the region. The framework was advantageous in efficiently predicting future water demand and supply for multiple cities, quantitatively reflecting the level of the spatial equilibrium of water allocation (SEWA) through coupling coordination degree (CCD), and achieving a higher level of SEWA rather than just the equitable water distribution.
New hydrological insights for the region: The results indicated that: (i) by 2030, the deficit of water supply and demand of Guangdong Province would be further aggravated, with a water shortage rate of 4.18%; (ii) by optimal water allocation, the water shortage rate of Guangdong Province decreased to 1.56% and the level of SEWA improved significantly from moderate equilibrium to good equilibrium; and (iii) from 2018 to 2030, key water-saving sectors in different cities were identified, while the industrial sector had a higher water-saving intensity than other water use sectors. This study could provide references for integrated water allocation strategies to realize the coordinated development of socioeconomic and environmental systems in other regions of the world.
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