Your search found 11 records
1 Zhang, Q.; Tiang, N.; Lin, B. 1985. Environmental problems associated with sediment deposition in Guanting reservoir. In Institute of Water Conservancy and Hydroelectric Power Research, Proceedings. International Seminar on Water Management, Beijing, China, 25-29 March 1985. Beijing, China: The Institute. pp.75-85.
(Location: IWMI-HQ Call no: 631.7 G592 INS Record No: H03065)
Guanting Reservoir serves to protect Beijing from flood hazards and, together with Miyun Reservoir, to supply the capital with water of good quality. It has contributed tremendously to the prosperity of the city. But the mode of its operation results in large amount of sediment being deposited in the reservoir. This in turn entails many environmental problems not fully anticipated at the time of planning of the reservoir. These problems, being technical as well as economical and socio-political, prove to be complex and difficult to solve. This article reports briefly on the environmental problems encountered and the present trend of thought on their possible solution.
2 Huang, J.; Wan, Z.; Zhang, Q.. 1993. A study on the sediment transport in an irrigation district. In ICID, 15th International Congress on Irrigation and Drainage, The Hague, The Netherlands, 1993: Water management in the next century: Transactions: Vol.1-D, Question 44, R104-R118: Planning and design of irrigation and drainage systems. New Delhi, India: ICID. pp.1373-1384.
Sedimentation ; Control methods ; River basin development ; Diversion ; Mathematical models ; Irrigation programs ; Irrigation canals / China / Yellow River
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H013942)
3 Zhang, Q.. 1994. Information transfer into the agricultural sphere in China: The Asian Development Bank Project. Quarterly Bulletin of the International Association of Agricultural Information Specialists, 39(1/2):194-201.
(Location: IWMI-HQ Call no: PER Record No: H016945)
4 Fu, G.; Min, Q.; Ouyang, Z.; Wang, X.; Wang, R.; Zhang, Q.. 2000. China water security scenario. 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.52-82.
Water use efficiency ; Food security ; Population ; Water demand ; Economic aspects ; Environmental effects ; Water availability / China
(Location: IWMI-HQ Call no: 333.91 G592 WAN Record No: H026835)
5 Zhang, Q.; Zhang, H. X. 2001. Five current important water issues for sustainable development in China. Water International, 26(2):231-238.
Water resources development ; Water demand ; Water supply ; Agricultural development ; Water use ; Water quality ; Water pollution ; Rivers ; Open channels ; Natural disasters ; Case studies / China / Yellow River
(Location: IWMI-HQ Call no: PER Record No: H029162)
6 Xu, L. G.; Yang, J. S.; Zhang, Q.; Liu, G. M. 2005. Salt-water transport in unsaturated soils under crop planting: Dynamics and numerical simulation. Pedosphere, 15(5):634-640.
(Location: IWMI-HQ Call no: PER Record No: H037925)
7 Zhang, Q.; Hartmann, H.; Becker, S.; Zhu, C. 2005. Paleoclimate of the Yangtze River’s lower reaches for the past 14,000 years. Asian Journal of Water, Environment and Pollution, 2(2):31-38.
(Location: IWMI-HQ Call no: PER Record No: H037991)
8 Zhang, Q.; Jiang, T.; Liu, C. 2006. Changing trends of water level and runoff during past 100 years of the Yangtze River (China) Asian Journal of Water, Environment and Pollution, 3(1):49-55.
(Location: IWMI-HQ Call no: PER Record No: H038452)
9 Yan, Y.; Zhuang, Q.; Zan, C.; Ren, J.; Yang, L.; Wen, Y.; Zeng, S.; Zhang, Q.; Kong, L. 2021. Using the Google Earth Engine to rapidly monitor impacts of geohazards on ecological quality in highly susceptible areas. Ecological Indicators, 132:108258. [doi: https://doi.org/10.1016/j.ecolind.2021.108258]
Geological hazards ; Monitoring ; Remote sensing ; Landsat ; Satellite imagery ; Spatial distribution ; Ecological factors ; Landslides ; Vegetation ; Land use / China / Sichuan / Danba
(Location: IWMI HQ Call no: e-copy only Record No: H050775)
https://www.sciencedirect.com/science/article/pii/S1470160X21009237/pdfft?md5=fc8cae18da106987a406a9feff5a7d79&pid=1-s2.0-S1470160X21009237-main.pdf
https://vlibrary.iwmi.org/pdf/H050775.pdf
https://vlibrary.iwmi.org/pdf/H050775.pdf
(9.62 MB) (9.62 MB)
Frequent geohazards have knock-on effects on ecological quality. Timely and dynamically monitoring the damage of geohazards to ecological quality is important to the geological hazards prevention, ecological restoration, and policy formulation. Existing studies mainly focused on the impacts of climate change, urbanization, and extreme weather on the ecological quality, largely ignoring the role of frequent geohazards in the highly susceptible area. At present, the impact mechanism of the high susceptibility of geohazards on ecological quality remains unknown. To fill this knowledge gap, we use the Remote Sensing Ecological Index (RSEI, a widely accepted ecological quality index) calculated on the Google Earth Engine (GEE) platform, geohazard density data, and the Landsat series of surface reflectance datasets to explore the mechanism that drives spatial–temporal variations of ecological quality. Taking the Danba County as the study area, our results indicate that the total number of geohazards is 944 during 1995–2019, and the number of geohazards fluctuates and rises every year (10 in 1995 and 82 in 2019). A conceptual framework was proposed to quantify the impact of the high susceptibility of geohazards on ecological quality by separately exploring its impact on the 4 ecological components of RSEI (i.e., greenness, wetness, dryness, and heat). We found that the density of geohazards is significantly negatively correlated with greenness (R = 0.48, Pearson Correlation Coefficient (PCC) = -0.528, p < 0.01), and humidity (R = 0.45, PCC = -0.364, p < 0.01), whereas it is significantly positively correlated with dryness (R = 0.63, PCC = -0.335, p < 0.01) and heat (R = 0.47, PCC = -0.368, p < 0.01). Therefore, geohazards make a negative contribution to ecological quality by reducing greenness and humidity and increasing dryness and heat. This study provides insights on the mechanism of geohazards on ecological quality, benefiting stakeholders in designing better management plans for sustainable ecosystem cycling, application of GEE, and geological remote sensing.
10 Maiti, A.; Acharya, P.; Sannigrahi, S.; Zhang, Q.; Bar, S.; Chakraborti, S.; Gayen, B. K.; Barik, G.; Ghosh, Surajit; Punia, M. 2022. Mapping active paddy rice area over monsoon Asia using time-series Sentinel – 2 images in Google Earth engine; a case study over Lower Gangetic Plain. Geocarto International, 37(25):10254-10277. [doi: https://doi.org/10.1080/10106049.2022.2032396]
Rice ; Mapping ; Satellite imagery ; Monsoons ; Time series analysis ; Case studies ; Farmland ; Precipitation ; Models / India / West Bengal / Lower Gangetic Plain
(Location: IWMI HQ Call no: e-copy only Record No: H051089)
(4.00 MB)
We proposed a modification of the existing approach for mapping active paddy rice fields in monsoon-dominated areas. In the existing PPPM approach, LSWI higher than EVI at the transplantation stage enables the identification of rice fields. However, it fails to recognize the fields submerged later due to monsoon floods. In the proposed approach (IPPPM), the submerged fields, at the maximum greenness time, were excluded for better estimation. Sentinel–2A/2B time-series images were used for the year 2018 to map paddy rice over the Lower Gangetic Plain (LGP) using Google earth engine (GEE). The overall accuracy (OA) obtained from IPPPM was 85%. Further comparison with the statistical data reveals the IPPPM underestimates (slope (b1) ¼ 0.77) the total reported paddy rice area, though R2 remains close to 0.9. The findings provide a basis for near real-time mapping of active paddy rice areas for addressing the issues of production and food security.
11 Zhang, Q.; Sun, J.; Zhang, G.; Liu, X.; Wu, Y.; Sun, J.; Hu, B. 2023. Spatiotemporal dynamics of water supply-demand patterns under large-scale paddy expansion: implications for regional sustainable water resource management. Agricultural Water Management, 285:108388. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108388]
Water supply ; Water resources ; Water requirements ; Rice ; Growth period ; Climate change ; Precipitation ; Crop water use ; Irrigation water ; Water demand ; Water shortage ; Evapotranspiration / China / Sanjiang Plain / Songhua River / Wusuli River
(Location: IWMI HQ Call no: e-copy only Record No: H051983)
https://www.sciencedirect.com/science/article/pii/S0378377423002536/pdfft?md5=c08be234799e27a6e78d439d8bd87d74&pid=1-s2.0-S0378377423002536-main.pdf
https://vlibrary.iwmi.org/pdf/H051983.pdf
https://vlibrary.iwmi.org/pdf/H051983.pdf
(14.80 MB) (14.8 MB)
Climate change and large-scale paddy field expansion have altered the balance of water supply–demand in the Sanjiang Plain, a substantial commercial grain base in the high-latitude region of China. However, the matching pattern of water supply–demand throughout the growing period during the rapid expansion processes of paddy fields remains unknown. Hence, this study aimed to analyze the spatial–temporal variation characteristics of effective precipitation (Pem), crop water demand (ETc), supply–demand matching degree (MD), and irrigation water demand (IR) for different growing periods of paddy fields in the Sanjiang Plain using high-resolution meteorological and multi-period rice distribution data sets. The results showed that the area of paddy fields increased by 446% (20,064 km2) from 1990 to 2020 and almost completely covered the lowland of the Sanjiang Plain in 2020. ETc showed a slightly increasing trend initially and decreased afterward, while Pem and MD marginally increased at first and considerably increased subsequently during 1990–1995 and 2000–2020, respectively. MD has largely increased since 2000 in the Jiansanjiang area and the lower reaches of the Songhua River, where the largest paddy field expansion was experienced. However, the regional IR increased rapidly after 2000, which was associated with the expansion of paddy fields and further exceeded the carrying capacity of regional water resources. The efficiency of water resource utilization should be urgently improved, and integrated water resource planning and management should be implemented considering precipitation, surface water (regional water resources and transit water resources), and groundwater to promote the sustainable development of regional agriculture.
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