Your search found 11 records
1 Wang, S.. 1972. Pa Pao Chun: An 18th century irrigation system in central Taiwan. The Bulletin of the Institute of Ethnology, Academia Sinica, 33:165-176.
(Location: IWMI-HQ Call no: P 1370 Record No: H01967)
2 Yano, T.; Wang, S.. 2000. Sustainable irrigated agriculture in arid lands: Kazakstan case study. In Watanabe, K.; Komamine, A. (Eds.), Challenge of plant and agricultural sciences to the crisis of biosphere on the earth in the 21st century. Georgetown, TX, USA: Landes Bioscience. pp.107-112.
Sustainable agriculture ; Irrigated farming ; Arid lands ; Case studies ; Rice ; Paddy fields ; Water balance ; Water quality ; Groundwater ; Soil salinity ; Soil reclamation ; Leaching ; Irrigation efficiency / Kazakhstan / Kzyl Orda Region / Syr Darya River
(Location: IWMI-HQ Call no: 631.5 G000 WAT Record No: H026699)
3 Cao, W.; Jiang, D.; Wang, S.; Tian, Y. 2002. Physiological characterization of rice grown under different water management systems. In Bouman, B. A. M.; Hengsdijk, H.; Hardy, B.; Bindraban, P. S.; Tuong, T. P.; Ladha, J. K. (Eds.), Water-wise rice production. Los Baños, Philippines: International Rice Research Institute (IRRI). pp.249-257.
(Location: IWMI-HQ Call no: 631.7.2 G000 BOU Record No: H032432)
(3 MB)
4 Wang, X.; Hollanders, P. H. J.; Wang, S.; Fang, S. 2004. Effect of field groundwater table control on water and salinity balance and crop yield in the Qingtongxia Irrigation District, China. Irrigation and Drainage, 53(3):263-275.
Groundwater ; Water table ; Simulation models ; Calibration ; Salinity ; Water quality ; Irrigation water ; Crop yield ; Water conservation ; Drainage / China
(Location: IWMI-HQ Call no: PER Record No: H035697)
5 Wang, S.; Ding, Y.; Jiang, D.; Dai, T.; Zhu, Y.; Cao, W. 2001. Water-saving physiology and high-efficiency management techniques in rice. In Hengsdijk, H.; Bindraban, P. (Eds.) Water saving rice production systems. Wageningen, Netherlands: Plant Research International. pp.89-100.
Rice ; Water conservation ; Soil-water-plant relationships ; Irrigation management ; Soil water ; Water stress ; Experiments / China / Jiangsu Province
(Location: IWMI-HQ Call no: 633.18 G570 HEN Record No: H037748)
6 Fan, T.; Wang, S.; Xiaoming, T.; Luo, J.; Stewart, B. A.; Gao, Y. 2005. Grain yield and water use in a long-term fertilization trial in Northwest China. Agricultural Water Management, 76(1):36-52.
Evapotranspiration ; Water use efficiency ; Crop production ; Water stress ; Statistical methods ; Maize ; Wheat ; Yields / China
(Location: IWMI-HQ Call no: PER Record No: H037132)
7 He, Y.; Su, Z.; Jia, L.; Zhang, Y.; Roerink, G.; Wang, S.; Wen, J.; Hou, Y. 2005. Estimation of daily evapotranspiration in Northern China Plain by using MODIS/TERRA images. In Owe, M.; D’Urso, G. (Eds.). Remote Sensing for Agriculture, Ecosystems, and Hydrology VII. Proceedings of The International Society of Optical Engineering (SPIE), Bruges, Belgium, 20-22 September 2005. Vol.59761. 59761M-1:12p.
Evapotranspiration ; Estimation ; Remote sensing ; Models / China / Beijing / Shunyi County / Northern China Plain / Zhengzhou / HuangHuaiHai Plain
(Location: IWMI-HQ Call no: P 7708 Record No: H039591)
8 Xue, J.; Huo, Z.; Wang, S.; Wang, C.; White, I.; Kisekka, I.; Sheng, Z.; Huang, G.; Xu, X. 2020. A novel regional irrigation water productivity model coupling irrigation- and drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China. Hydrology and Earth System Sciences, 24(5):2399-2418. [doi: https://doi.org/10.5194/hess-24-2399-2020]
Irrigation water ; Water productivity ; Models ; Irrigation canals ; Drainage systems ; Groundwater table ; Hydrology ; Salinity ; Cropping patterns ; Soil moisture ; Crop water use ; Crop production ; Sunflowers ; Wheat / China / Jiefangzha Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H049768)
https://www.hydrol-earth-syst-sci.net/24/2399/2020/hess-24-2399-2020.pdf
https://vlibrary.iwmi.org/pdf/H049768.pdf
https://vlibrary.iwmi.org/pdf/H049768.pdf
(3.87 MB) (3.87 MB)
The temporal and spatial distributions of regional irrigation water productivity (RIWP) are crucial for making decisions related to agriculture, especially in arid irrigated areas with complex cropping patterns. Thus, in this study, we developed a new RIWP model for an irrigated agricultural area with complex cropping patterns. The model couples the irrigation- and drainage-driven soil water and salinity dynamics and shallow groundwater movement in order to quantify the temporal and spatial distributions of the target hydrological and biophysical variables. We divided the study area into 1 km × 1 km hydrological response units (HRUs). In each HRU, we considered four land use types: sunflower fields, wheat fields, maize fields, and uncultivated lands (bare soil). We coupled the regional soil hydrological processes and groundwater flow by taking a weighted average of the water exchange between unsaturated soil and groundwater under different land use types. The RIWP model was calibrated and validated using 8 years of hydrological variables obtained from regional observation sites in a typical arid irrigation area in North China, the Hetao Irrigation District. The model simulated soil moisture and salinity reasonably well as well as groundwater table depths and salinity. However, overestimations of groundwater discharge were detected in both the calibration and validation due to the assumption of well-operated drainage ditch conditions; regional evapotranspiration (ET) was reasonably estimated, whereas ET in the uncultivated area was slightly underestimated in the RIWP model. A sensitivity analysis indicated that the soil evaporation coefficient and the specific yield were the key parameters for the RIWP simulation. The results showed that the RIWP decreased from maize to sunflower to wheat from 2006 to 2013. It was also found that the maximum RIWP was reached when the groundwater table depth was between 2 and 4 m, regardless of the irrigation water depth applied. This implies the importance of groundwater table control on the RIWP. Overall, our distributed RIWP model can effectively simulate the temporal and spatial distribution of the RIWP and provide critical water allocation suggestions for decision-makers.
9 Arsenault, K. R.; Shukla, S.; Hazra, A.; Getirana, A.; McNally, A.; Kumar, S. V.; Koster, R. D.; Peters-Lidard, C. D.; Zaitchik, B. F.; Badr, H.; Jung, H. C.; Narapusetty, B.; Navari, M.; Wang, S.; Mocko, D. M.; Funk, C.; Harrison, L.; Husak, G. J.; Adoum, A.; Galu, G.; Magadzire, T.; Roningen, J.; Shaw, M.; Eylander, J.; Bergaoui, K.; McDonnell, Rachael A.; Verdin, J. P. 2020. The NASA hydrological forecast system for food and water security applications. Bulletin of the American Meteorological Society (BAMS), 101(7):E1007-E1025. [doi: https://doi.org/10.1175/BAMS-D-18-0264.1]
Hydrology ; Forecasting ; Early warning systems ; Food security ; Water security ; Drought ; Flooding ; Precipitation ; Groundwater ; Water storage ; Soil water content ; Stream flow ; Monitoring ; Land area ; Meteorological factors ; Satellite observation ; Modelling / Africa / Middle East
(Location: IWMI HQ Call no: e-copy only Record No: H049803)
https://journals.ametsoc.org/bams/article-pdf/101/7/E1007/4981535/bamsd180264.pdf
https://vlibrary.iwmi.org/pdf/H049803.pdf
https://vlibrary.iwmi.org/pdf/H049803.pdf
(8.47 MB) (8.47 MB)
Many regions in Africa and the Middle East are vulnerable to drought and to water and food insecurity, motivating agency efforts such as the U.S. Agency for International Development’s (USAID) Famine Early Warning Systems Network (FEWS NET) to provide early warning of drought events in the region. Each year these warnings guide life-saving assistance that reaches millions of people. A new NASA multimodel, remote sensing–based hydrological forecasting and analysis system, NHyFAS, has been developed to support such efforts by improving the FEWS NET’s current early warning capabilities. NHyFAS derives its skill from two sources: (i) accurate initial conditions, as produced by an offline land modeling system through the application and/or assimilation of various satellite data (precipitation, soil moisture, and terrestrial water storage), and (ii) meteorological forcing data during the forecast period as produced by a state-of-the-art ocean–land–atmosphere forecast system. The land modeling framework used is the Land Information System (LIS), which employs a suite of land surface models, allowing multimodel ensembles and multiple data assimilation strategies to better estimate land surface conditions. An evaluation of NHyFAS shows that its 1–5-month hindcasts successfully capture known historic drought events, and it has improved skill over benchmark-type hindcasts. The system also benefits from strong collaboration with end-user partners in Africa and the Middle East, who provide insights on strategies to formulate and communicate early warning indicators to water and food security communities. The additional lead time provided by this system will increase the speed, accuracy, and efficacy of humanitarian disaster relief, helping to save lives and livelihoods.
10 Cheng, F.; Dai, Z.; Shen, S.; Wang, S.; Lu, X. 2021. Characteristics of rural domestic wastewater with source separation. Water Science and Technology, 83(1):233-246. [doi: https://doi.org/10.2166/wst.2020.557]
Wastewater treatment ; Domestic water ; Rural areas ; Pollutant load ; Waste management ; Water reuse ; Sewage ; Septic tanks ; Villages ; Households / China / Taihu Lake Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050161)
(0.62 MB)
Rural domestic wastewater (RDW), one of the non-point pollution sources, has become a significant object related to sanitation improvement and water pollution control in Taihu Lake Basin, China. Current research on RDW characteristics and management with source separation is limited. In this study, a source-separated investigation into the characteristics of RDW was conducted, and the management suggestions were proposed. The results showed that the average RDW production coefficient was 94.1 ± 31.6 (range: 71.8–143.0) liters per capita (person) per day. Household-level wastewater generation peaked two or three times daily, and the synchronous fluctuation could cause hydraulic loading shocks to treatment facilities. The population equivalents of chemical oxygen demand, ammonium nitrogen (NH4+–N), total nitrogen (TN), and total phosphorus (TP) in RDW were 78.7, 3.7, 4.12, and 0.8 g/(cap·d), respectively. Blackwater from water closet source accounted for 30.4% of the total wastewater amount, contributing 93.0%, 81.7%, and 67.3% to loads of NH4+-N, TN, and TP, respectively. Graywater from the other sources with low nutrient-related pollutant concentrations and loads, accounting for 69.6% of the total wastewater amount, was a considerable alternative water resource. The quantitative and qualitative characteristics indicated that GW and BW had the potential of being reused in relation to water and nutrients, respectively.
11 Zhang, J.; Wang, S.; Pradhan, P.; Zhao, W.; Fu, B. 2022. Mapping the complexity of the food-energy-water nexus from the lens of Sustainable Development Goals in China. Resources, Conservation and Recycling, 183:106357. (Online first) [doi: https://doi.org/10.1016/j.resconrec.2022.106357]
Food security ; Energy ; Water security ; Nexus ; Sustainable Development Goals ; Goal 2 Zero hunger ; Goal 6 Clean water and sanitation ; Goal 7 Affordable and clean energy ; Goal 8 Decent work and economic growth ; Goal 12 Responsible production and consumption ; Goal 15 Life on land ; Economic growth ; Indicators ; Socioeconomic development ; Models / China
(Location: IWMI HQ Call no: e-copy only Record No: H051113)
(3.71 MB)
The nexus approach offers an important heuristic tool for the sustainable management of resources by considering the links among different sectors. The food-energy-water (FEW) nexus corresponds to links among the three of seventeen United Nations Sustainable Development Goals (SDGs), namely SDG2 (No Hungry), SDG6 (Clean Water and Sanitation), and SDG7 (Affordable and Clean Energy), and their interlinkages have a direct or indirect impact on other SDGs. However, there is still a lack of a systematic and quantitative analysis of how the nexus approach could promote achieving SDGs. Here, taking China as a case, we built an expanded FEW nexus framework from the lens of SDGs, which consists of six sectors, including food (SDG2), water (SDG6), energy (SDG7), economic (SDG8), consumption and production (SDG12), and forest (SDG15). We quantified the two-way interactions between the six sectors by the panel vector autoregressive (PVAR) model. Results indicate that sectors exhibit different response characteristics (positive or negative) in their interactions, and these responses could change over time. These results imply that changing the priorities of actions may be an effective measure to transform trade-offs into synergies. Moreover, the contribution of different sectors to each other varies considerably, with economic growth (SDG8) generally having a higher impact on changes in the FEW nexus than consumption and production patterns (SDG12). Our research suggests that strengthening the quantitative assessment of two-way interactions among the FEW nexus has crucial implications for leveraging nexus approaches effectively to achieve sustainable development for all.
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