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| 1 | Land cover change and eco-environmental quality response of different geomorphic units on the Chinese Loess Plateau显示文摘Land cover in the Chinese Loess Plateau has undergone dramatic changes since the late 1980s.Revealing the trend in land cover change and eco-environmental quality response of different geomorphic units in this stage is a realistic requirement for promoting sustainable development of the Chinese Loess Plateau.Based on the data of geomorphic units and land cover in 1990,2000,2010 and 2018 of the Chinese Loess Plateau,we studied the trend of land cover change and eco-environmental quality response of different geomorphic units by using a significance index of land cover change,a proportion index of land cover change and an eco-environmental response model.The results indicated that from 1990 to 2018,the areas of forestland and construction land substantially increased,whereas those of cropland,grassland,wetland and unused land considerably decreased.Land cover change exhibited large geomorphic differences,and the main conversion of land cover was from cropland into other land types.Unstable trend of land cover change in the loess tablelands and sandy loess hills declined,whereas the unstable trends in the other geomorphic units enhanced.Eco-environmental quality varied among different geomorphic units.The expansion of construction land and degradation of forestland,grassland and wetland resulted in the deterioration of eco-environmental quality.The conversion of cropland and unused land into forestland and grassland,and the conversion of grassland into forestland were the main factors that drove the improvement of eco-environmental quality.The findings of this study may provide theoretical reference and support decision making for the optimization of land use structure and the improvement of eco-environmental quality on the Chinese Loess Plateau. | SONG Yongyong XUE Dongqian DAI Lanhai WANG Pengtao HUANG Xiaogang XIA Siyou | 2020 | Journal of Arid Land2020，12，1： | 14 |
| 2 | A system dynamics approach for water resources policy analysis in arid land:a model for Manas River Basin显示文摘The Manas River Basin in Xinjiang Uygur autonomous region,similar to other arid regions,is facing water constraints which challenge decision-makers as to how to rationally allocate the available water resources to meet the demands from industries and natural ecosystems.Policies which integrate the supply and demand are needed to address the water stress issues.An object-oriented system dynamics model was developed to capture the interrelationships between water availability and increasing water demands from the growth of industries,agricultural production and the population through modeling the decision-making process of the water exploration explicitly,in which water stress is used as a major indicator.The model is composed of four sectors:1) natural surface and groundwater resources;2) water demand;3) the water exploitation process,including the decision to build reservoirs,canals and pumps;4) water stress to which political and social systems respond through increasing the supply,limiting the growth or improving the water use efficiency.The model was calibrated using data from 1949 to 2009 for population growth,irrigated land area,industry output,perceived water stress,groundwater resources availability and the drying-out process of Manas River;and simulations were carried out from 2010 to 2050 on an annual time step.The comparison of results from calibration and observation showed that the model corresponds to observed behavior,and the simulated values fit the observed data and trends accurately.Sensitivity analysis showed that the model is robust to changes in model parameters related to population growth,land reclamation,pumping capacity and capital contribution to industry development capacity.Six scenarios were designed to investigate the effectiveness of policy options in the area of reservoir relocation,urban water recycling,water demand control and groundwater pumping control.The simulation runs demonstrated that the technical solutions for improving water availability and water use efficiency are not sustainable.Acknowledging the carrying capacity of water resources and eliminating a growth-orientated value system are crucial for the sustainability of the Manas River Basin. | ShanShan DAI LanHai LI HongGang XU XiangLiang PAN XueMei LI | 2013 | Journal of Arid Land2013，5，1： | 14 |
| 3 | Effects of short-term low temperatures on photosystem Ⅱ function of samara and leaf of Siberian maple (Acer ginnala) and subsequent recovery显示文摘Samara is the reproductive organ (seed) for many tree species in arid land in northwestern China. It is ecologically important in population development due to its dispersal function. However, information on its photosynthesis and effect of environmental stresses on its photosynthesis is still very limited. In the present study, responses of photosystem II (PSII) activity in samara and leaf of Siberian maple to short-term chilling/freezing and subsequent recovery potential were comparatively investigated by using polyphasic fluorescence test. The samara had more efficient photosynthesis (Fv/Fm and PIABS) and more efficient electron transport (φEo) but lower energy dissipation (DIo/RC) than leaf. Generally, the PSII performance and the electron transport for both samara and leaf were inhibited under low temperature stress, accompanied by an increase of energy dissipation in PSII reaction centers (RCs). PSII of both samara and leaf was not markedly affected by chilling and could acclimate to chilling stress. Short-term freezing could completely inhibit PSII activity in both samara and leaf, indicated by the drop of values of Fv/Fm, PIABS, φEo to zero. PSII functional parameters of short-term dark frozen samara could be largely recovered whereas those of frozen leaf could not be recovered. The higher tolerance of samara to short-term low temperature stress than leaf is of great ecological significance for seed development, population establishment of Siberian maple. | XiangLiang PAN1, DaoYong ZHANG1,2, Xi CHEN1, Li LI1, GuiJin MU1, LanHai LI1, AnMing BAO1, Jing LIU2, HuaiSong ZHU1, WenJuan SONG1, JianYing YANG1, JunYong AI1 1 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China 2 State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550000, China | 2009 | Journal of Arid Land2009，1，1： | 10 |
| 4 | Impact of climate factors on runoff in the Kaidu River watershed:path analysis of 50-year data显示文摘Runoff formation is a complex meteorological-hydrological process impacted by many factors,especially in the inland river basin.Based on the data of daily mean air temperature,precipitation and runoff during the period of 1958-2007 in the Kaidu River watershed,this paper analyzed the changes in air temperature,precipitation and runoff and revealed the direct and indirect impacts of daily air temperature and precipitation on daily runoff by path analysis.The results showed that mean temperature time series of the annual,summer and autumn had a significant fluctuant increase during the last 50 years(P < 0.05).Only winter precipitation increased significantly(P < 0.05) with a rate of 1.337 mm/10a.The annual and winter runoff depthes in the last 50 years significantly increased with the rates of 7.11 mm/10a and 1.85 mm/10a,respectively.The driving function of both daily temperature and precipitation on daily runoff in annual and seasonal levels is significant in the Kaidu River watershed by correlation analysis.The result of path analysis showed that the positive effect of daily air temperature on daily runoff depth is much higher than that of daily precipitation in annual,spring,autumn and winter,however,the trend is opposite in summer. | XueMei LI LanHai LI LingPeng GUO FeiYun ZHANG Suwannee ADSAVAKULCHAI Ming SHANG | 2011 | Journal of Arid Land2011，3，2： | 10 |
| 5 | Environmental factors influencing snowfall and snowfall prediction in the Tianshan Mountains, Northwest China显示文摘Snowfall is one of the dominant water resources in the mountainous regions and is closely related to the development of the local ecosystem and economy. Snowfall predication plays a critical role in understanding hydrological processes and forecasting natural disasters in the Tianshan Mountains, where meteorological stations are limited. Based on climatic, geographical and topographic variables at 27 meteorological stations during the cold season(October to April) from 1980 to 2015 in the Tianshan Mountains located in Xinjiang of Northwest China, we explored the potential influence of these variables on snowfall and predicted snowfall using two methods: multiple linear regression(MLR) model(a conventional measuring method) and random forest(RF) model(a non-parametric and non-linear machine learning algorithm). We identified the primary influencing factors of snowfall by ranking the importance of eight selected predictor variables based on the relative contribution of each variable in the two models. Model simulations were compared using different performance indices and the results showed that the RF model performed better than the MLR model, with a much higher R^2 value(R^2=0.74; R^2, coefficient of determination) and a lower bias error(RSR=0.51; RSR, the ratio of root mean square error to standard deviation of observed dataset). This indicates that the non-linear trend is more applicable for explaining the relationship between the selected predictor variables and snowfall. Relative humidity, temperature and longitude were identified as three of the most important variables influencing snowfall and snowfall prediction in both models, while elevation, aspect and latitude were of secondary importance, followed by slope and wind speed. These results will be beneficial to understand hydrological modeling and improve management and prediction of water resources in the Tianshan Mountains. | ZHANG Xueting LI Xuemei LI Lanhai ZHANG Shan QIN Qirui | 2019 | Journal of Arid Land2019，11，1： | 8 |
| 6 | Characteristics and hazards of different snow avalanche types in a continental snow climate region in the Central Tianshan Mountains显示文摘Snow avalanches are a common natural hazard in many countries with seasonally snow-covered mountains.The avalanche hazard varies with snow avalanche type in different snow climate regions and at different times.The ability to understand the characteristics of avalanche activity and hazards of different snow avalanche types is a prerequisite for improving avalanche disaster management in the mid-altitude region of the Central Tianshan Mountains.In this study,we collected data related to avalanche,snowpack,and meteorology during four snow seasons(from 2015 to 2019),and analysed the characteristics and hazards of different types of avalanches.The snow climate of the mid-altitude region of the Central Tianshan Mountains was examined using a snow climate classification scheme,and the results showed that the mountain range has a continental snow climate.To quantify the hazards of different types of avalanches and describe their situation over time in the continental snow climate region,this study used the avalanche hazard degree to assess the hazards of four types of avalanches,i.e.,full-depth dry snow avalanches,full-depth wet snow avalanches,surface-layer dry snow avalanches,and surface-layer wet snow avalanches.The results indicated that surface-layer dry snow avalanches were characterized by large sizes and high release frequencies,which made them having the highest avalanche hazard degree in the Central Tianshan Mountains with a continental snow climate.The overall avalanche hazard showed a single peak pattern over time during the snow season,and the greatest hazard occurred in the second half of February when the snowpack was deep and the temperature increased.This study can help the disaster and emergency management departments rationally arrange avalanche relief resources and develop avalanche prevention strategies. | HAO Jiansheng Richard MIND'JE LIU Yang HUANG Farong ZHOU Hao LI Lanhai | 2021 | Journal of Arid Land2021，13，4： | 5 |
| 7 | Sensitivity of runoff to climatic variability in the northern and southern slopes of the Middle Tianshan Mountains,China显示文摘Temperature and precipitation play an important role in the distribution of intra-annual runoff by influencing the timing and contribution of different water sources.In the northern and southern slopes of the Middle Tianshan Mountains in China,the water sources of rivers are similar;however,the proportion and dominance of water sources contributing to runoff are different.Using the Manas River watershed in the northern slope and the Kaidu River watershed in the southern slope of the Middle Tianshan Mountains as case studies,we investigated the changes in annual runoff under climate change.A modified hydrological model was used to simulate runoff in the Kaidu River and Manas River watersheds.The results indicated that runoff was sensitive to precipitation variation in the southern slope and to temperature variation in the northern slope of the Middle Tianshan Mountains.Variations in temperature and precipitation substantially influence annual and seasonal runoff.An increase in temperature did not influence the volume of spring runoff;but it resulted in earlier spring peaks with higher levels of peak flow.Damages caused by spring peak flow from both slopes of the Middle Tianshan Mountains should be given more attention in future studies. | ZHANG Feiyun BAI Lei LI Lanhai WANG Quan | 2016 | Journal of Arid Land2016，8，5： | 4 |
| 8 | Long-term oscillation of drought conditions in the western China: an analysis of PDSI on a decadal scale显示文摘Water resource availability is one of the primary limiting factors with regard to ecosystems in the western China.Having a clear understanding of multi-scale drought patterns in this region is a key step for adaption and mitigation to climate change.The Palmer drought severity index(PDSI) is a widely applied index to assess drought conditions.In this study,long-term monthly self-calibrated PDSI data from 1951 to 2012 were examined for drought spatiotemporal variations in the western China.The results clearly indicated that apparent spatial heterogeneities were evidenced between two sub-regions(arid land with annual precipitation less than 200 mm and semiarid land with annual precipitation between 200 to 500 mm) as well as in the entire region of the western China.Ensemble empirical mode decomposition(EEMD) analyses on monthly PDSI and other atmospheric variable time-series obtained from the Department of Civil and Environmental Engineering,Princeton University revealed that all monthly time-series of variables could be completely decomposed into eight intrinsic mode functions(IMFs) and a trend(residual).This indicates that the monthly PDSI and atmospheric variables of the semiarid area in the western China contain eight quasi-period oscillations on various timescale spanning,seasonal to decadal cycles and a trend of a larger timescale from 1951–2012.The multi-scale drought patterns identified in this research could be powerful supports for decision-making regarding coping with droughts in this region. | JIN Jia WANG Quan LI Lanhai | 2016 | Journal of Arid Land2016，8，6： | 4 |
| 9 | Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China显示文摘Short-term climate reconstruction,i.e.,the reproduction of short-term(several decades)historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area,can extend the length of climatic time series and offset the shortage of observations.This can be used to assess regional climate change over a much longer time scale.Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5)dataset for the period of 1850–2000,the Climatic Research Unit(CRU)dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR)of China during the period of 1961–2011,we calibrated and validated monthly average temperature(MAT)and monthly accumulated precipitation(MAP)in the TMR using the delta,physical scaling(SP)and artificial neural network(ANN)methods.Performance and uncertainty during the calibration(1971–1999)and verification(1961–1970)periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA)method.The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables,different data sources,and/or different methods used.According to traditional performance indices,both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999.However,the results differed from those obtained by the RSPA method.This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree)during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset.Overall,the calibrated and verified MAP had a high degree of uncertainty(negative connection degree)regardless of the dataset or reconstruction method used.Therefore,the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study.The results of this study will be useful for short-term(several decades)regional climate reconstruction and longer-term(100 a or more)assessments of regional climate change. | LI Xuemei Slobodan P SIMONOVIC LI Lanhai ZHANG Xueting QIN Qirui | 2020 | Journal of Arid Land2020，12，3： | 2 |
| 10 | Interdecadal variations of pan-evaporation at the southern and northern slopes of the Tianshan Mountains, China显示文摘Evaporation controlled by meteorological parameters plays a crucial role in hydrology,meteorology and water resources management.An insight view of long-term variation in evaporation will help understanding the effects of climate change and provide useful information for rational utilization of water resources,especially in the arid land where the shortage of water resources exists.However,the lack of data on evaporation led to difficulties in assessing the impacts of climate change on evaporation,especially in arid mountainous area.This study investigated the long-term variation of the pan-evaporation(Ep) measured by E601 type evaporation pan and its influencing climatic factors at both northern and southern slopes of the Tianshan Mountains in Xinjiang of China using the ensemble empirical mode decomposition method and Path analysis.The results revealed that Eps at both northern and southern slopes had obvious interdecadal variation within cycles of 3–4 and 7–8 years.Eps at both slopes sharply decreased in early 1980 s,but increased after late 1990 s.Path analysis showed that the 3–4 years cycle of Ep at the northern and southern slopes was mainly dependent upon actual water vapor pressure with a negative direct path coefficient of –0.515 and sunshine duration with a positive direct path coefficient of 0.370,respectively.The variation of Ep with cycle of 7–8 years at the northern slope was attributed to the wind speed with a direct path coefficient of 0.774.Average temperature had a direct path coefficient of 0.813 in 7–8 years cycle at the southern slope.The assessment of Ep variation and its causes provides information essential for a good understanding of hydrologic cycle and regional climate of arid mountainous regions in Xinjiang of China and offers a theoretical reference for distribution and utilization of water resources. | LI Sisi WANG Quan LI Lanhai | 2016 | Journal of Arid Land2016，8，6： | 2 |
| 11 | Assessment of soil degradation and chemical compositions in Rwandan tea-growing areas显示文摘This study has focused on the processes of soil degradation and chemical element concentration in tea-growing regions of Rwanda,Africa.Soil degradation accelerated by erosion is caused not only by topography but also by human activities.This soil degradation involves both the physical loss and reduction in the amount of topsoil associated with nutrient decline.Soil samples were collected from eleven tropical zones in Rwanda and from variable depth within each collecting site.Of these,Samples from three locations in each zone were analyzed in the laboratory,with the result that the pH of all soil samples is shown to be less than 5(pH<5) with a general average of 4.4.The elements such as iron(Fe), copper(Cu),manganese(Mn),and zinc(Zn) are present in high concentration levels.In contrast calcium (Ca) and sodium(Na) are present at low-level concentrations and carbon(C) was found in minimal concentrations.In addition,elements derived from fertilizers,such as nitrogen(N),phosphorous(P),and potassium(K) which is also from minerals such as feldspar,are also present in low-level concentrations. The results indicate that the soil in certain Rwandan tea plantations is acidic and that this level of pH may help explain,in addition to natural factors,the deficiency of some elements such as Ca,Mg,P and N.The use of chemical fertilizers,land use system and the location of fields relative to household plots are also considered to help explain why tea plantation soils are typically degraded. | Jean de la Paix Mupenzi Lanhai Li Jiwen Ge Achal Varenyam Gabriel Habiyaremye Nzayisenga Theoneste Kamanzi Emmanuel | 2011 | Geoscience Frontiers2011，2，4： | 2 |
| 12 | A survey on the heavy metal contents in Chinese traditional egg products and their potential health risk assessment显示文摘 | Qing-long Fu Yonglin Liu Lanhai Li Varenyam Achal | 2014 | Food Additives & Contaminants: Part B2014，，2： | 1 |
| 13 | Effects of DL-3-n-Butylphthalide on Vascular Dementia and Angiogenesis显示文摘 | Lihong Zhang Lanhai Lü W. Chan Yin Huang Maria Wai David Yew | 2012 | Neurochemical Research2012，，： | 1 |
| 14 | Propofol exerts hippocampal neuron protective effects via up-regulation of metallothionein-3显示文摘 | Jianguo He Changshun Huang Juan Jiang Lanhai Lv | 2013 | Neurological Sciences2013，，2： | 1 |
| 15 | Spatiotemporal characteristics and influencing factors of ecosystem services in Central Asia显示文摘Land use/land cover(LULC)change and climate change are two major factors affecting the provision of ecosystem services which are closely related to human well-being.However,a clear understanding of the relationships between these two factors and ecosystem services in Central Asia is still lacking.This study aimed to comprehensively assess ecosystem services in Central Asia and analyze how they are impacted by changes in LULC and climate.The spatiotemporal patterns of three ecosystem services during the period of 2000-2015,namely the net primary productivity(NPP),water yield,and soil retention,were quantified and mapped by the Carnegie-Ames-Stanford Approach(CASA)model,Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model,and Revised Universal Soil Loss Equation(RUSLE).Scenarios were used to determine the relative importance and combined effect of LULC change and climate change on ecosystem services.Then,the relationships between climate factors(precipitation and temperature)and ecosystem services,as well as between LULC change and ecosystem services,were further discussed.The results showed that the high values of ecosystem services appeared in the southeast of Central Asia.Among the six biomes(alpine forest region(AFR),alpine meadow region(AMR),typical steppe region(TSR),desert steppe region(DSR),desert region(DR),and lake region(LR)),the values of ecosystem services followed the order of AFR>AMR>TSR>DSR>DR>LR.In addition,the values of ecosystem services fluctuated during the period of 2000-2015,with the most significant decreases observed in the southeast mountainous area and northwest of Central Asia.LULC change had a greater impact on the NPP,while climate change had a stronger influence on the water yield and soil retention.The combined LULC change and climate change exhibited a significant synergistic effect on ecosystem services in most of Central Asia.Moreover,ecosystem services were more strongly and positively correlated with precipitation than with temperature.The greening of desert areas and forest land expansion could improve ecosystem services,but unreasonable development of cropland and urbanization have had an adverse impact on ecosystem services.According to the results,ecological stability in Central Asia can be achieved through the natural vegetation protection,reasonable urbanization,and ecological agriculture development. | YAN Xue LI Lanhai | 2023 | Journal of Arid Land2023，15，1： | 1 |
| 16 | Water Losses in Arid and Semi-Arid Zone:Evaporation, Evapotranspiration and Seepage显示文摘The primary purpose of this study was to assess water losses by evapotranspiration, evaporation and seepage in arid zone.Normally, evaporation and seepage are the main causes of water losses.For modeling water losses,a combination of Genetic Programming(GP),Penman-Monteith(PM) and Penman combination model for measurement of evapotranspiration,evaporation and seepage has been developed.The results were found to be varying depending on how the evaporation and seepage phenomena are modeled.These results show that that there is an improvement in reducing evapotranspiration,evaporation and seepage losses in arid and semi-arid region. | MUPENZI Jean de la Paix LI Lanhai GE Jiwen NGAMIJE Jean ACHAL Verenyam HABIYAREMYE Gabriel HABUMUGISHA Jean de Dieu | 2012 | Journal of Mountain Science2012，9，2： | 1 |
| 17 | Streamflow simulation by SWAT using different precipitation sources in large arid basins with scarce raingauges显示文摘 | YU Meiyan CHEN Xi LI Lanhai | 2011 | Water Resources Management2011，25，11： | 1 |
| 18 | Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios显示文摘Hydrothermal condition is mismatched in arid and semi-arid regions,particularly in Central Asia(including Kazakhstan,Kyrgyzstan,Tajikistan,Uzbekistan,and Turkmenistan),resulting many environmental limitations.In this study,we projected hydrothermal condition in Central Asia based on bias-corrected multi-model ensembles(MMEs)from the Coupled Model Intercomparison Project Phase 6(CMIP6)under four Shared Socioeconomic Pathway and Representative Concentration Pathway(SSP-RCP)scenarios(SSP126(SSP1-RCP2.6),SSP245(SSP2-RCP4.5),SSP460(SSP4-RCP6.0),and SSP585(SSP5-RCP8.5))during 2015-2100.The bias correction and spatial disaggregation,water-thermal product index,and sensitivity analysis were used in this study.The results showed that the hydrothermal condition is mismatched in the central and southern deserts,whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal condition.Compared with the historical period,the matched degree of hydrothermal condition improves during 2046-2075,but degenerates during 2015-2044 and 2076-2100.The change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern regions.The result suggests that the optimal scenario in Central Asia is SSP126 scenario,while SSP585 scenario brings further hydrothermal contradictions.This study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change. | YAO Linlin ZHOU Hongfei YAN Yingjie LI Lanhai SU Yuan | 2022 | Journal of Arid Land2022，14，5： | 1 |
| 19 | Dew amount and its long-term variation in the Kunes River Valley,Northwest China显示文摘Dew is an essential water resource for the survival and reproduction of organisms in arid and semi-arid regions.Yet estimating the dew amount and quantifying its long-term variation are challenging.In this study,we elucidate the dew amount and its long-term variation in the Kunes River Valley,Northwest China,based on the measured daily dew amount and reconstructed values(using meteorological data from 1980 to 2021),respectively.Four key results were found:(1)the daily mean dew amount was 0.05 mm during the observation period(4 July-12 August and 13 September-7 October of 2021).In 35 d of the observation period(i.e.,73%of the observation period),the daily dew amount exceeded the threshold(>0.03 mm/d)for microorganisms;(2)air temperature,relative humidity,and wind speed had significant impacts on the daily dew amount based on the relationships between the measured dew amount and meteorological variables;(3)for estimating the daily dew amount,random forest(RF)model outperformed multiple linear regression(MLR)model given its larger R^(2) and lower MAE and RMSE;and(4)the dew amount during June-October and in each month did not vary significantly from 1980 to the beginning of the 21^(st) century.It then significantly decreased for about a decade,after it increased slightly from 2013 to 2021.For the whole meteorological period of 1980-2021,the dew amount decreased significantly during June-October and in July and September,and there was no significant variation in June,August,and October.Variation in the dew amount in the Kunes River Valley was mainly driven by relative humidity.This study illustrates that RF model can be used to reconstruct long-term variation in the dew amount,which provides valuable information for us to better understand the dew amount and its relationship with climate change. | FENG Ting HUANG Farong ZHU Shuzhen BU Lingjie QI Zhiming LI Lanhai | 2022 | Journal of Arid Land2022，14，7： | 1 |
| 20 | Impacts of alternative vehicle fuel policies on Canadian energy demand and emissions显示文摘 | Lanhai Li Robert Hoffeman Bert Mc Innis | 2012 | Transport Policy2012，，21： | 1 |
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