Your search found 9 records
1 Xue, S.; Ding, Y.; Cao, B.; Zhang, Z.. 1991. Effects of groundwater regulation and control in cropped area. In ICID, The Special Technical Session Proceedings, Beijing, China, April 1991. Vol.1-B: Operation of irrigation systems. New Delhi, India: ICID. pp.62-76.
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H014729)
2 Behrman, J. R.; Zhang, Z.. 1995. Gender issues and employment in Asia. Asian Development Review, 13(2):1-49.
Gender ; Women in development ; Female labor ; Woman's status ; Employment ; Wages ; Income distribution ; Case studies ; Policy / Asia / Indonesia / Philippines / India / Pakistan / Japan
(Location: IWMI-HQ Call no: P 4279 Record No: H018730)
3 Wang, Y.; Xie, Z. K.; Li, F.; Zhang, Z.. 2004. The effect of supplemental irrigation on watermelon (Citrullus lanatus) production in gravel and sand mulched fields in the Loess Plateau of northwest China. Agricultural Water Management, 69(1):29-41.
Supplementary irrigation ; Water use efficiency ; Evapotranspiration ; Water harvesting ; Soil water ; Yields ; Cost benefit analysis / China / Loess Plateau
(Location: IWMI-HQ Call no: PER Record No: H035686)
4 Luo, Y.; Khan, S.; Cui, Y.; Zhang, Z.; Zhu, X. 2006. Sustainable irrigation water management in the lower Yellow River Basin: A system dynamics approach. In Willett, I. R.; Gao, Z. (Eds.) Agricultural water management in China: Proceedings of a workshop held in Beijing, China, 14 September 2005. Canberra, Australia: ACIAR. pp.101-110.
Irrigation management ; River basins ; Groundwater management ; Simulation models / China / Lower Yellow River Basin
(Location: IWMI-HQ Call no: 631.7 G592 WIL Record No: H039224)
5 Sebastian, L. S.; Chandrabalan, D.; Borromeo, K. H.; Zhang, Z.; Mathur, P. N. 2000. Agrobiodiversity conservation and use in Asia Pacific and Oceania Region. Taipei, Taiwan: Food and Fertilizer Technology Center (FFTC). 7p. (FFTC Extension Bulletin 631)
Agrobiodiversity ; Biodiversity conservation ; Food security ; Crops ; Genetic resources / Asia Pacific / South Asia / Southeast Asia / East Asia / Oceania
(Location: IWMI-HQ Call no: P 8102 Record No: H044941)
http://www.fftc.agnet.org/files/lib_articles/20120105101950/eb631.pdf
https://vlibrary.iwmi.org/pdf/H044941.pdf
https://vlibrary.iwmi.org/pdf/H044941.pdf
(0.90 MB) (919KB)
6 Hu, Z.; Zhang, Z.; Sang, Y.-F.; Qian, J.; Feng, W.; Chen, X.; Zhou, Q. 2021. Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models. Journal of Hydrology, 596:126013. [doi: https://doi.org/10.1016/j.jhydrol.2021.126013]
Water storage ; Datasets ; Satellite observation ; Hydrology ; Models ; Precipitation ; Temperature ; Evapotranspiration ; Soil moisture ; Arid regions ; Water resources ; Sustainable Development Goals ; River basins ; Lakes ; Spatial distribution ; Forecasting ; Uncertainty / Central Asia / Kazakhstan / Turkmenistan / Uzbekistan / Tajikistan / Kyrgyzstan / Aral Sea Basin / Balkhash Lake / Issyk-Kul Lake
(Location: IWMI HQ Call no: e-copy only Record No: H050341)
(7.60 MB)
Arid regions of Central Asia have sensitive ecosystems that rely heavily on terrestrial water storage which is composed of surface water storage, soil moisture storage and groundwater storage. Therefore, we employed three Gravity Recovery and Climate Experiment (GRACE) satellite datasets and five global hydrological models (GHMs) to explore the terrestrial water storage (TWS) changes over arid regions of Central Asia from 2003 to 2014. We observed significantly decreasing water storage trends in the GRACE data, which were underestimated by the GHMs. After averaging the three GRACE satellite datasets, we found that the water storage was decreasing at a rate of -4.74 mm/year. Contrary to the prevailing declining water storage trends, northeastern Kazakhstan (KAZ), and southern Xinjiang increased their water storage over the same period. The GRACE data showed that Turkmenistan (TKM), Uzbekistan (UZB) and KAZ experienced the most severe water depletions, while Tajikistan (TJK) and northwest China (NW) experienced the least significant depletions. With respect to the major river and lake basins, the Aral Sea Basin exhibited the most serious water loss (-0.60 mm/month to -0.38 mm/month). The water storage positively correlates with the precipitation; and negatively correlates, with a three-month lag, with temperature and potential evapotranspiration (PET). Partial least square regression (PLSR) had the high capability in simulating and predicting the TWS. These results provide scientific evidence and guidance for local policy makers working toward sustainable water resource management, and the resolution of international water resource disputes among Central Asian countries.
7 He, Z.; Gong, K.; Zhang, Z.; Dong, W.; Feng, H.; Yu, Q.; He, J. 2022. What is the past, present, and future of scientific research on the Yellow River Basin? - A bibliometric analysis. Agricultural Water Management, 262:107404. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.107404]
River basins ; Research ; Bibliometric analysis ; Environmental restoration ; Water resources ; Agricultural production ; Water use efficiency ; Vegetation ; Crop yield ; Greenhouse gas emissions ; Policies ; Soil erosion ; Plateaus / China / Yellow River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050884)
(4.84 MB)
China's Yellow River Basin (YRB) has large watershed but scarce water resources. More importantly, most parts of the YRB are located in semi-arid areas of Northwest China, where the ecology and environments are fragile. So, ecological restoration and agricultural production always are the key research topics of the YRB. However, the specific research interest of YRB changed over time and was always closely related to the implementation of government policies. Hence, we conducted a comprehensive analysis of YRB's research topics based on the methods of bibliometrics. The results showed that the number of papers about YRB’s research experienced a change from slowly increasing (1998–2010, 83 papers) to rapidly increasing (2011–2015, 128 papers), and then to exponentially rising (2016–2020, 369 papers). Secondly, the main research fields of the YRB included farming, crops, water, soil, environment, and etc. The journal of Agriculture Water Management had the highest global total citations and H-index, even local cited references were the highest among all of the reference papers about the YRB. Through summarizing the most cited papers and references, we found the most important research hotspots about the YRB were: the impacts of climate change and human activities on the amount of sediment in the YRB, the management of soil erosion and vegetation restoration in the YRB, and the relationship between crops and environment and management in the Loess Plateau of China. In addition, “Loess Plateau” was the most frequent keyword in the past ten years and the popularity of “climate change” rose sharply in the past five years. For YRB’s research in near future, how to effectively control carbon emissions, greenhouse gas (GHG) emissions, and carbon surplus is becoming an important implication for YRB's agricultural production and ecological restoration in the future. In general, this research is expected to promote a comprehensive and quantitative understanding of the past, present and future of YRB’s research.
8 Yan, C.; Li, Z.; Zhang, Z.; Sun, Y.; Wang, Y.; Xin, Q. 2023. High-resolution mapping of paddy rice fields from unmanned airborne vehicle images using enhanced-transunet. Computers and Electronics in Agriculture, 210:107867. (Online first) [doi: https://doi.org/10.1016/j.compag.2023.107867]
Rice fields ; Remote sensing ; Mapping ; Neural networks ; Moderate resolution imaging spectroradiometer ; Vegetation ; Farmland ; Villages ; Tillering / China / Zengcheng / Guangzhou / Dapu / Lijing / Zhukeng / Shagang
(Location: IWMI HQ Call no: e-copy only Record No: H051977)
(6.93 MB)
Through remote sensing to obtain accurate information on the area of rice fields is of great significance for precision agriculture. Currently, rice extraction is primarily based on multi-temporal but low spatial resolution remote sensing images, which are unsuitable for a wide range of applications in efficient agricultural management and production. Exploring new methods for acquiring very-high processing resolution (VHR) images from Unmanned Aerial Vehicles (UAV) is a viable research avenue. Given that emerging deep learning networks have shown potential in image processing and object detection, this research proposed a deep learning network named Enhanced-TransUnet (ETUnet) for identifying paddy rice fields from VHR images. The developed network utilizes a dilated convolution approach and introduces the Convolutional Block Attention Module (CBAM) to the feature extraction layer in the convolutional neural networks to reduce unnecessary feature extractions by combining the self-attention mechanism in the Transformer. We applied the developed deep-learning network to extract rice fields from UAV images at three different growth stages, including transplanting, tilling, and maturing in Guangzhou city in China. The results demonstrate that ETUnet can accurately extract paddy fields during the phases of transplanting, tillering, and maturing, where the attained F1 scores are 94.87 %, 95.05 %, and 92.95 %, respectively. The attained IoUs are 90.24 %, 90.55 %, and 87.84 %, respectively, and the Kappa coefficients obtained are 93.13 %, 93.07 %, and 90.15 %, respectively. We identified that training samples had a substantial impact on the performance of the deep neural networks. The study revealed that both the timing of image acquisition and the model architecture affected paddy rice mapping using deep learning networks based on UAV data. It provides reference and help for studying the changes of crop phenology.
9 Zhang, Z.; Macedo, I.; Linquist, B. A.; Sander, B. O.; Pittelkow, C. M. 2024. Opportunities for mitigating net system greenhouse gas emissions in Southeast Asian rice production: a systematic review. Agriculture, Ecosystems and Environment, 361:108812. (Online first) [doi: https://doi.org/10.1016/j.agee.2023.108812]
(Location: IWMI HQ Call no: e-copy only Record No: H052391)
https://www.sciencedirect.com/science/article/pii/S0167880923004711/pdfft?md5=f6cf432eca45807ac8395f42cb54e212&pid=1-s2.0-S0167880923004711-main.pdf
https://vlibrary.iwmi.org/pdf/H052391.pdf
https://vlibrary.iwmi.org/pdf/H052391.pdf
(2.27 MB) (2.27 MB)
Southeast Asia (SEA) is a key producer and exporter of rice, accounting for around 28% of rice produced globally. To effectively mitigate greenhouse gas (GHG) emissions in SEA rice systems, field methane (CH4) and nitrous oxide (N2O) emissions have been intensively studied. However, an integrated assessment of system-level GHG emissions which includes other carbon (C) balance components, such as soil organic carbon (SOC) or energy use, that can positively or negatively influence the net capacity for climate change mitigation is lacking. We conducted a systematic review of published research in SEA rice systems to synthesize findings across four main components of net system emissions: (1) field GHG emissions, (2) energy inputs, (3) residue utilization beyond the field, and (4) SOC change. The objectives were to highlight effective mitigation opportunities and explore cross-component effects to identify tradeoffs and key knowledge gaps. Field GHG emissions were the largest contributor to net system emissions in agreement with existing scientific consensus, with results showing that practices such as floodwater drainage and residue removal are sound options for CH4 mitigation. On the other hand, increasing SOC potentially provides a large GHG mitigation opportunity, with long-term continuous rice cropping and practices such as residue incorporation and biochar application promoting SOC increase. A reduction in energy inputs was mainly achieved by optimizing agrochemical use, especially N fertilizers. For residue utilization beyond the field, GHG emission mitigation mainly came from preventing open field burning through residue removal. Removed residue can subsequently be used for producing energy that offsets GHG emissions associated with conventional fuel sources (e.g. fossil fuel-based electricity generation) or substituting material used in other production systems. Integrating all four components of net system emissions into one analysis underscores the following two main takeaways. First, the components of field GHG emissions and SOC change are the biggest opportunities for reducing net system emissions and need to be considered for effective climate change mitigation. Second, the reduction of C inputs through residue removal and increased soil aeration through multiple drainage will lower CH4 emissions but may also potentially decrease SOC stocks over time. Hence, we argue that future research needs to consider cross-component effects to optimize net system emissions, specifically the “stacking” of best management practices for mitigation related to field GHG emissions or SOC change in long-term experiments.
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