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| 1 | Response of vegetation to temperature and precipitation in Xinjiang during the period of 1998-2009显示文摘In this paper,10-day spatio-temporal response of vegetation to the change of temperature and precipitation in spring,summer,autumn and whole year during the period of 1998―2009 was analyzed based on the data of SPOT VEGETATION-NDVI and 10-day average temperature or precipitation from 54 meteorological stations in Xinjiang.The results show that the response of 10-day NDVI to temperature was more significant than that to precipitation,and the maximal response of vegetation to temperature and precipitation lagged for two 10-day periods.Seasonally,the effect of temperature and precipitation on vegetation NDVI was most marked in autumn,then in spring,and it was not significant in summer.The response of vegetation to 10-day change of meteorological factors was positive with a long affecting duration in spring,and it had a relatively short affecting duration in autumn and summer.Spatially,the 10-day maximal response of NDVI to temperature in northern Xinjiang was higher than that in southern Xinjiang.The correlation between the 10-day NDVI in whole year and the temperature in the 0-8th 10-day period was significantly higher than that between the annual NDVI and the annual temperature at all meteorological stations;the interannual change of NDVI was accordant well with the change of annual precipitation.However,the effect of precipitation within a year on NDVI was not strong.The results indicated that interannual change of temperature was not the dominant factor affecting the change of vegetation NDVI in Xinjiang,but the decrease of annual precipitation was the main factor resulting in the fluctuation of vegetation coverage.Ten-day average temperature was an important factor to promote vegetation growth in Xinjiang within a year,but the effect of precipitation on vegetation growth within a year was not strong. | XiaoMing CAO Xi CHEN AnMing BAO Quan WANG | 2011 | Journal of Arid Land2011，3，2： | 9 |
| 2 | Simulating hydrological responses to climate change using dynamic and statistical downscaling methods: a case study in the Kaidu River Basin, Xinjiang, China显示文摘Climate change may affect water resources by altering various processes in natural ecosystems. Dynamic and statistical downscaling methods are commonly used to assess the impacts of climate change on water resources. Objectively, both methods have their own advantages and disadvantages. In the present study, we assessed the impacts of climate change on water resources during the future periods (2020–2029 and 2040–2049) in the upper reaches of the Kaidu River Basin, Xinjiang, China, and discussed the uncertainties in the research processes by integrating dynamic and statistical downscaling methods (regional climate models (RCMs) and general circulation modes (GCMs)) and utilizing these outputs. The reference period for this study is 1990–1999. The climate change trend is represented by three bias-corrected RCMs (i.e., Hadley Centre Global Environmental Model version 3 regional climate model (HadGEM3-RA), Regional Climate Model version 4 (RegCM4), and Seoul National University Meso-scale Model version 5 (SUN-MM5)) and an ensemble of GCMs on the basis of delta change method under two future scenarios (RCP4.5 and RCP8.5). We applied the hydrological SWAT (Soil and Water Assessment Tool) model which uses the RCMs/GCMs outputs as input to analyze the impacts of climate change on the stream flow and peak flow of the upper reaches of the Kaidu River Basin. The simulation of climate factors under future scenarios indicates that both temperature and precipitation in the study area will increase in the future compared with the reference period, with the largest increase of annual mean temperature and largest percentage increase of mean annual precipitation being of 2.4°C and 38.4%, respectively. Based on the results from bias correction of climate model outputs, we conclude that the accuracy of RCM (regional climate model) simulation is much better for temperature than for precipitation. The percentage increase in precipitation simulated by the three RCMs is generally higher than that simulated by the ensemble of GCMs. As for the changes in seasonal precipitation, RCMs exhibit a large percentage increase in seasonal precipitation in the wet season, while the ensemble of GCMs shows a large percentage increase in the dry season. Most of the hydrological simulations indicate that the total stream flow will decrease in the future due to the increase of evaporation, and the maximum percentage decrease can reach up to 22.3%. The possibility of peak flow increasing in the future is expected to higher than 99%. These results indicate that less water is likely to be available in the upper reaches of the Kaidu River Basin in the future, and that the temporal distribution of flow may become more concentrated. | BA Wulong DU Pengfei LIU Tie BAO Anming LUO Min Mujtaba HASSAN QIN Chengxin | 2018 | Journal of Arid Land2018，10，6： | 8 |
| 3 | A simulation-based two-stage interval-stochastic programming model for water resources management in Kaidu-Konqi watershed,China显示文摘This study presented a simulation-based two-stage interval-stochastic programming(STIP) model to support water resources management in the Kaidu-Konqi watershed in Northwest China.The modeling system coupled a distributed hydrological model with an interval two-stage stochastic programing(ITSP).The distributed hydrological model was used for establishing a rainfall-runoff forecast system,while random parameters were provided by the statistical analysis of simulation outcomes.The developed STIP model was applied to a real case of water resources management planning in Kaidu-Konqi watershed,where three scenarios with different water resources management policies were analyzed.The results indicated that water shortage mainly occurred in agriculture,ecology and forestry sectors.In comparison,the water demand from municipality,industry and stockbreeding sectors can be satisfied due to their lower consumptions and higher economic values.Different policies for ecological water allocation can result in varied system benefits,and can help to identify desired water allocation plans with a maximum economic benefit and a minimum risk of system disruption under uncertainty. | Yue HUANG Xi CHEN YongPing LI AnMing BAO YongGang MA | 2012 | Journal of Arid Land2012，4，4： | 6 |
| 4 | Simulation of groundwater table dynamics based on Feflow in the Minqin Basin,China显示文摘As groundwater table declination is an important factor resulting in degradation of eco-environment in the Minqin Basin,China,it is significant to investigate and understand the groundwater table dynamics in this area. According to the physical and geographical conditions of the Minqin Basin,a hydrogeological conceptual model and a mathematical model were established,and the mathematical model was figured out by using Finite Element subsurface Flow system(Feflow).Accurate hydrogeological parameters were acquired,and the spatio-temporal distribution dynamics of groundwater table for 1983–2001 were also simulated.The model performed well with a correlation coefficient of 0.977 and a mean error of 0.9768 m.The inflow and outflow of the groundwater system were predicted by time series analysis,and the groundwater table dynamics for 2011 were further acquired.Generally the groundwater table in the Minqin Basin would continue to decline.The groundwater table would decline during spring and summer irrigation,while it would rise during autumn-winter irrigation.The groundwater depression cones would expand with the increase of center depths.Therefore,regulatory measures should be taken to prevent the declination of groundwater table and improve the eco-environment of this area. | Lan MA XiaoMei WEI AnMing BAO ShiFei WANG | 2012 | Journal of Arid Land2012，4，2： | 5 |
| 5 | Measuring cotton water status using water-related vegetation indices at leaf and canopy levels显示文摘Drought is one of the major environmental threats in the world. In recent years, the damage from droughts to the environment and economies of some countries has been extensive, and drought monitoring has caused widespread concerns. Remote sensing has a proven ability to provide spatial and temporal measurements of surface properties, and it offers an opportunity for the quantitative assessment of drought indicators such as the vegetation water content at different levels. In this study, sites of cotton field in Shihezi, Xinjiang, Northwest China were sampled. Four classical water content parameters, namely the leaf equivalent water thickness (EWT leaf ), the fuel moisture content (FMC), the canopy equivalent water thickness (EWT canopy ) and vegetation water content (VWC) were evaluated against seven widely-used water-related vegetation indices, namely the NDII (normalized difference infrared index), NDWI 2130 (normalized difference water index), NDVI (normalized difference vegetation index), MSI (moisture stress index), SRWI (simple ratio water index), NDWI 1240 (normalized difference water index) and WI (water index), respectively. The results proved that the relationships between the water-related vegetation indices and EWT leaf were much better than that with FMC, and the relationships between vegetation indices and EWT canopy were better than that with VWC. Furthermore, comparing the significance of all seven water-related vegetation in- dices, WI and NDII proved to be the best candidates for EWT detecting at leaf and canopy levels, with R 2 of 0.262 and 0.306 for EWT leaf-WI and EWT canopy -NDII linear models, respectively. Besides, the prediction power of linear regression technique (LR) and artificial neural network (ANN) were compared using calibration and validation dataset, respectively. The results indicated that the performance of ANN as a predictive tool for water status measuring was as good as LR. The study should further our understanding of the relationships between water-related vegetation indices and water parameters. | QiuXiang YI AnMing BAO Yi LUO Jin ZHAO | 2012 | Journal of Arid Land2012，4，3： | 4 |
| 6 | Estimation of the rational water area for controlling wind erosion in the dried-up basin of the Ebinur Lake and its effect detection显示文摘埃比纳·莱克区域被描述为“一个格林迷宫”在“ Xinjiang MapRecords:河的记录“然而,在 1910 出版了在这个区域的生态学和环境严重由于人的活动的影响被堕落了在期间最近 40 年。渴起来,有 107.4 km^2 的一个区域的湖盆在它的西北的部分形成,是没有植被,盖住 byunconsolidated 淤泥沉积物,并且在北方 Xinjiang 成为了灰尘天气的主要灰尘来源之一,并且有 4.8x10 ~ 6t 的年度数量的灰尘被大风从有 164 天的 Alataw 山脉差距从这个区域吹一年里的发生的大风。为在弄干起来的湖盆在湖区域和有效地控制的风侵蚀改进生态学的埃比纳·莱克的合理的水区域和流入在在弄干起来的湖盆分析在沉积物的小粒的作文之间的当前的生态的问题和关系以后用水平衡方程被估计并且灰尘天气,和最近的年里的生态的效果被监视。为在弄干起来的湖盆在湖区域和有效地控制的风侵蚀改进生态学的 theEbinur 湖的水区域应该至少是 800 km^2,这被考虑,并且湖应该在 7.92x10 ~ 上的再装的表面流量和地下水的年度体积 8 m^3。 | BAO Anming MU Guijin ZHANG Yi FENG Xianwei CHANG Cun YIN Xiaojun | 2006 | Chinese Science Bulletin2006，51，A01： | 4 |
| 7 | Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations显示文摘 | Fa Cui Chunhua Zhao Anming Ding Jun Li Lin Wang Xingfeng Li Yinguang Bao Junming Li Honggang Wang | 2014 | Theoretical and Applied Genetics2014，，3： | 2 |
| 8 | Effect of future climate change on the water footprint of major crops in southern Tajikistan显示文摘Danghara,a major food production area in southern Tajikistan,is currently suffering from the impact of rapid climate change and intensive human activities.Assessing the future impact of climate change on crop water requirements(CWRs)for the current growing period and defining the optimal sowing date to reduce future crop water demand are essential for local/regional water and food planning.Therefore,this study attempted to analyze possible future climate change effects on the water requirements of major crops using the statistical downscaling method in the Danghara District to simulate the future temperature and precipitation for two future periods(2021-2050 and 2051-2080),under three representative concentration pathways(RCP2.6,RCP4.5,and RCP8.5)according to the CanESM2 global climate model.The water footprint(WFP)of major crops was calculated as a measure of their CWRs.The increased projection of precipitation and temperature probably caused an increase in the main crop’s WFP for the current growing period,which was mainly due to the green water(GW)component in the long term and a decrease in the blue water(BW)component during the second future period,except for cotton,where all components were predicted to remain stable.Under three scenarios for the two future potato and winter wheat decreased from 5.7%to 4.8%and 3.4%to 2.2%,respectively.Although the WFP of cotton demonstrated a stable increase,according to the optimal sowing date,adecrease in irrigation demand or Bw was expected.The results of our study might be useful fordeveloping a new strategy related to irrigation systems and could help to find a balance betweenwater and food for environmental water demands and human use. | Muhammadjon Kobuliev Tie Liu Zainalobudin Kobuliev Xi Chen Aminjon Gulakhmadov Anming Bao | 2021 | Regional Sustainability2021，2，1： | 2 |
| 9 | A comparison of methods for estimating fractional vegetation cover in arid regions 显示文摘 | Gull Jiapaer Xi Chen Anming Bao | 2011 | Agricultural and Forest Meteorology2011，151，12： | 1 |
| 10 | A comparison of methods for estimating fractional vegetation cover in arid regions 显示文摘 | Guli Jiapaer Xi Chen Anming Bao | 2011 | Agricultural and Forest Meteorology2011，151，12： | 1 |
| 11 | The simulation of snowmeh runoff in the ungauged Kaidu River basin of Tianshan Mountains, China显示文摘 | DOU Yan CHEN Xi BAO Anming | 2011 | Environment Earth Science2011，62，： | 1 |
| 12 | A Comparison of Methods for Estimating Fractional Vegetation Cover in Arid regions显示文摘 | Gnli Jiapaer Chen Xi Bao Anming | 2011 | Agricultural and Forest Meteorology2011，，151： | 1 |
| 13 | Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations显示文摘 | HONG ZHANG FA CUI LIN WANG JUN LI ANMING DING CHUNHUA ZHAO YINGUANG BAO QIUPING YANG HONGGANG WANG | 2013 | Journal of Genetics2013，，2： | 1 |
| 14 | Study on the biomass change derived from the hyperspectral data of cotton leaves in canopy under moisture stress显示文摘在这研究,在美国做的一个 ASD 分光计被用来在北方 Xinjiang 在华盖导出棉花叶子的 hyperspectral 数据。红边的不可分的区域变量被用来在华盖在棉花叶子估计全部的氮(TN ) 内容。反射系列微分的第一份订单被执行。分析方法基于光谱位置变量从第一份订单被导出微分光谱数据。在红边的不可分的区域之间的关联上的分析( SDr ,认为是独立变量)并且 TN 内容(认为是功能)被执行,并且在在棉花变化的华盖叶子的红边和 TN 内容的不可分的区域之间的数学模型作为 Xinluzao 说出 No.6 的关联被开发。在在单个棉花的叶绿素内容和 TN 内容之间的关联上的分析在华盖与不同的水体积在灌溉下面成长离开被执行。结果证明在叶绿素内容和 TN 内容之间有重要积极关联(R = 0.8723, n = 39 ) ,并且叶绿素内容的数据能被用来在单个棉花叶子估计 TN 内容;在在在华盖的棉花叶子的红边和 TN 内容的不可分的区域变量之间的关联是重要的,他们的关联系数是 0.7394 ( n = 40 ),在作为 Xinluzao 号码 6 和号码 8 罐头说出的棉花变化的华盖叶子的 TN 内容被使用发达模型精确地估计,并且他们的 RMSE 价值分别地是 0.3859 和 0.4272 。在研究以后,有一个适用的潜力使用红边的不可分的区域变量在华盖在棉花叶子估计 TN 内容,这被考虑,并且数学模型与第三方面的区域变量发展了让高适用在在庄稼华盖导出 TN 内容珍视。认出应力由研究移动和红边的变化程度由棉花植物承受了的潮湿是可行的,这也被考虑,并且钥匙是开发相应合理识别索引系统。 | SUN Li CHEN Xi WU Jianjun FENG Xianwei BAO Anming MA Yaqin WANG Dengwei | 2006 | Chinese Science Bulletin2006，51，A01： | 1 |
| 15 | Study on snowmelt runoff simulation in the Kaidu River basin显示文摘 | YiChi Zhang BaoLin Li AnMing Bao ChengHu Zhou Xi Chen XueRen Zhang | 2007 | Science in China Series D: Earth Sciences2007，，1： | 1 |
| 16 | Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations显示文摘 | Fa Cui Chunhua Zhao Anming Ding Jun Li Lin Wang Xingfeng Li Yinguang Bao Junming Li Honggang Wang | 2014 | Theoretical and Applied Genetics2014，，3： | 1 |
| 17 | A comparison of methods for estimating fractional vegetation cover in arid regions 显示文摘 | Guli Jiapaer Chen Xi Bao Anming | 2011 | Agricultural and Forest Meteorology2011，151，2011： | 1 |
| 18 | Study on snowmelt runoff simulation in the Kaidu River basin 显示文摘 | Zhang Yichi Li Baolin Bao Anming | 2007 | Science in China Series D: Earth Sciences2007，50，1： | 1 |
| 19 | Ecological problems and ecological restoration zoning of the Aral Sea显示文摘The Aral Sea was the fourth largest lake in the world but it has shrunk dramatically as a result of irrational human activities, triggering the 'Aral Sea ecological crisis'. The ecological problems of the Aral Sea have attracted widespread attention, and the alleviation of the Aral Sea ecological crisis has reached a consensus among the five Central Asian countries(Kazakhstan, Uzbekistan, Tajikistan, Kyrgyzstan, and Turkmenistan). In the past decades, many ecological management measures have been implemented for the ecological restoration of the Aral Sea. However, due to the lack of regional planning and zoning, the results are not ideal. In this study, we mapped the ecological zoning of the Aral Sea from the perspective of ecological restoration based on soil type, soil salinity, surface water, groundwater table, Normalized Difference Vegetation Index(NDVI), land cover, and aerosol optical depth(AOD) data. Soil salinization and salt dust are the most prominent ecological problems in the Aral Sea. We divided the Aral Sea into 7 first-level ecological restoration subregions(North Aral Sea catchment area in the downstream of the Syr Darya River(Subregion Ⅰ);artificial flood overflow area in the downstream of the Aral Sea(Subregion Ⅱ);physical/chemical remediation area of the salt dust source area in the eastern part of the South Aral Sea(Subregion Ⅲ);physical/chemical remediation area of severe salinization in the central part of the South Aral Sea(Subregion Ⅳ);existing water surface and potential restoration area of the South Aral Sea(Subregion Ⅴ);Aral Sea vegetation natural recovery area(Subregion Ⅵ);and vegetation planting area with slight salinization in the South Aral Sea(Subregion Ⅶ)) and 14 second-level ecological restoration subregions according to the ecological zoning principles. Implementable measures are proposed for each ecological restoration subregion. For Subregion Ⅰ and Subregion Ⅱ with lower elevations, artificial flooding should be carried out to restore the surface of the Aral Sea. Subregion Ⅲ and Subregion Ⅳ have severe salinization, making it difficult for vegetation to grow. In these subregions, it is recommended to cover and pave the areas with green biomatrix coverings and environmentally sustainable bonding materials. In Subregion Ⅴ located in the central and western parts of the South Aral Sea, surface water recharge should be increased to ensure that this subregion can maintain normal water levels. In Subregion Ⅵ and Subregion Ⅶ where natural conditions are suitable for vegetation growth, measures such as afforestation and buffer zones should be implemented to protect vegetation. This study could provide a reference basis for future comprehensive ecological management and restoration of the Aral Sea. | BAO Anming YU Tao XU Wenqiang LEI Jiaqiang JIAPAER Guli CHEN Xi Tojibaev KOMILJON Shomurodov KHABIBULLO Xabibullaev B SAGIDULLAEVICH Idirisov KAMALATDIN | 2024 | Journal of Arid Land2024，16，3： | 0 |
| 20 | Assessing Spatio-temporal Characteristics of Water Storage Changes in the Mountainous Areas of Central Asia Based on GRACE显示文摘The mountainous areas of Central Asia provide substantial water resources, and studying change in water storage and the impacts of precipitation and snow cover in the mountain ranges of Central Asia is of the greatest importance for understanding regional water shortages and the main factors. Data from the GRACE(Gravity Recovery and Climate Experiment) satellites, precipitation products and snow-covered area data were used to analyze the spatio-temporal characteristics of water storage changes and the effects of precipitation and snow cover from April 2002 to December 2013. The results were computed for each mountain ranges, and the following conclusions were drawn. The water storage in the mountainous areas of Central Asia as a whole increases in summer and winter, whereas it decreases in autumn. The water storage is affected by precipitation to some extent and some areas exhibit hysteresis. The area of positive water storage changes moves from west to east over the course of the year. The water storage declined during the period 2002–2004. It then returned to a higher level in 2005–2006 and featured lower levels in 2007–2009 Subsequently, the water storage increased gradually from 2010 to 2013. The Eastern Tianshan Mountains and Western Tianshan Mountain subzones examined in this study display similar tendencies, and the trends observed in the Karakorum Mountains and the Kunlun Mountains are also similar. However, the Eastern Tianshan Mountains and Western Tianshan Mountains were influenced by precipitation to a greater degree than the latter two ranges. The water storage in Qilian Mountains showed a pronounced increasing trend, and this range is the most strongly affected by precipitation. Based on an analysis of all investigated subzones, precipitation has the greatest influence on total water storage relative to the snow covered area in some areas of Central Asia. The results obtained from this study will be of value for scientists studying the mechanisms that influence changes in water storage in Central Asia. | ZHANG Pengfei CHEN Xi BAO Anming LIU Tie Felix NDAYISABA | 2017 | Chinese Geographical Science2017，27，6： | 0 |
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