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Inter-basin water transfer projects are powerful measures for resolving the uneven distribution of water resources, but their scale directly affects the associated investment and income. Therefore, determining the scale of an inter-basin water transfer project is essential. Based on the inter-basin agricultural water transfer project in the Sanjiang Plain, Northeast China, combined with the suitable development scale of the irrigation area with the joint allocation of existing water sources, this research proposes a technique to demonstrate the scale of an inter-basin water transfer project based on dynamic trial feedback under the condition of the optimization method of despiking of the groundwater allocation; the water transfer project scale is demonstrated for each section in reverse order. According to the water demand prediction results in the study area, the scale of water transfer project BC is demonstrated, and the scale of water transfer project AB is demonstrated on the basis of the BC scale. The final AB and BC water transfer scales decrease by 15% and 13%, respectively, compared with the conventional method under the premise that the water supply guarantee rate is 75%. When the water is transferred, the process is stable, and the utilization rate of the canal is high, thereby saving investment funds and facilitating project scheduling and management.
Jianhua Wang; Baodeng Hou; Yong Zhao; Weihua Xiao; Fan Lu. Research on Scale Demonstration Technology of Inter Basin Water Transfer Project in Agricultural Irrigation. 2021, 1 .
AMA StyleJianhua Wang, Baodeng Hou, Yong Zhao, Weihua Xiao, Fan Lu. Research on Scale Demonstration Technology of Inter Basin Water Transfer Project in Agricultural Irrigation. . 2021; ():1.
Chicago/Turabian StyleJianhua Wang; Baodeng Hou; Yong Zhao; Weihua Xiao; Fan Lu. 2021. "Research on Scale Demonstration Technology of Inter Basin Water Transfer Project in Agricultural Irrigation." , no. : 1.
With the purpose of achieving carbon emission reduction targets, the wind power industry has developed rapidly in recent years. Wind power is greatly affected by climate change, and the increase or decrease of wind speed directly affects wind energy production. Based on the numerical simulation results from a high-resolution (~ 25 km) regional climate model PRECIS, we analyze the changes of future wind speed and wind power potential in the "Three North" (TN) region in China. Firstly, we verify whether the PRECIS can capture the current spatiotemporal patterns in simulating the wind speed compared with observation (CN05.1). The results show PRECIS has a good ability in reproducing the spatiotemporal patterns of wind speed in the eastern part of the TN region, but still has great uncertainty in the northwest. In the future, the projected wind power density in the TN region will increase by about 0.7% in the middle of the 21st century, but will drop significantly in the end of the century (about −3.32%). Furthermore, Wind power density will increase significantly in winter. However, the wind speed in spring and summer will generally decrease. It is predicted that most of the Northwest (NW) and North (N) will have strong inter-annual variability in the middle of this century, and will be more stable at the end of this century. It should be noted that the potential of wind energy in Northeast (NE) will grow steadily in this century, which will have certain guiding significance for future wind power planning in this region.
Zhuo Chen; Wei Li; Junhong Guo; Zhe Bao; Zhangrong Pan; Baodeng Hou. Projection of Wind Energy Potential over Northern China Using a Regional Climate Model. Sustainability 2020, 12, 3979 .
AMA StyleZhuo Chen, Wei Li, Junhong Guo, Zhe Bao, Zhangrong Pan, Baodeng Hou. Projection of Wind Energy Potential over Northern China Using a Regional Climate Model. Sustainability. 2020; 12 (10):3979.
Chicago/Turabian StyleZhuo Chen; Wei Li; Junhong Guo; Zhe Bao; Zhangrong Pan; Baodeng Hou. 2020. "Projection of Wind Energy Potential over Northern China Using a Regional Climate Model." Sustainability 12, no. 10: 3979.
Improving flood forecasting performance is critical for flood management. Real-time flood forecasting correction techniques (e.g., proportional correction (PC) and Kalman filter (KF)) coupled with the Muskingum method improve the forecasting performance but have limitations (e.g., short lead times and inadequate performance, respectively). Here, particle filter (PF) and combination forecasting (CF) are coupled with the Muskingum method and then applied to 10 flood events along the Shaxi River, China. Two indexes (overall consistency and permissible range) are selected to compare the performances of PC, KF, PF and CF for 3 h lead time. The changes in overall consistency for different lead times (1–6 h) are used to evaluate the applicability of PC, KF, PF and CF. The main conclusions are as follows: (1) for 3 h lead time, the two indexes indicate that the PF performance is optimal, followed in order by KF and PC; CF performance is close to PF and better than KF. (2) The performance of PC decreases faster than that of KF and PF with increases in the lead time. PC and PF are applicable for short (1–2 h) and long lead times (3–6 h), respectively. CF is applicable for 1–6 h lead times; however, it has no advantage over PC and PF for short and long lead times, respectively, which may be due to insufficient training and increase in cumulative errors.
Ruixiang Yang; Baodeng Hou; Weihua Xiao; Chuan Liang; Xuelei Zhang; Baoqi Li; Haiying Yu. The applicability of real-time flood forecasting correction techniques coupled with the Muskingum method. Water Policy 2019, 51, 17 -29.
AMA StyleRuixiang Yang, Baodeng Hou, Weihua Xiao, Chuan Liang, Xuelei Zhang, Baoqi Li, Haiying Yu. The applicability of real-time flood forecasting correction techniques coupled with the Muskingum method. Water Policy. 2019; 51 (1):17-29.
Chicago/Turabian StyleRuixiang Yang; Baodeng Hou; Weihua Xiao; Chuan Liang; Xuelei Zhang; Baoqi Li; Haiying Yu. 2019. "The applicability of real-time flood forecasting correction techniques coupled with the Muskingum method." Water Policy 51, no. 1: 17-29.
Recently, water environmental accidents have occasionally occurred which have had wide-ranging influences, long durations and are difficult to deal with. The development of the social economy, the acceleration of industrialization, the huge discharge of industrial wastewater and the occasional occurrence of ship transportation accidents pose serious threats to the water quality of water inlets and protected water areas. This article applied the two-dimensional water quality model, used a GIS platform and FORTRAN language, and predicted spatio-temporal variations of the iron concentration during a water pollution accident. This research selected the water inlet of Heshangshan Water Plant and the Heshangshan protected water area as the research objective, and assumed a water pollution event had occurred. It was suggested that we should take corresponding emergency measures and relevant solutions to deal with the bad effects of water pollution accidents. The processes mainly included the selection of the study area, the determination of the equation to be used, parameters determination, as well as the identification of the accident scenario and source. The durations of the iron concentration exceeding the standard at the water inlet were 12–18 min and in the protected water area were 16–36 min in four water periods after the accident. In addition, the durations taken for the iron concentration to decrease to the background value in the protected water area were 18–38 min after the accident in four water periods in the accident scenario. Relevant departments should take some contingency measures to avoid fetching water from the intake after the accident within 40 min after the accident and the relevant staff can cancel the warning 40 min after the accident.
Xiaowen Ding; Yue Tan; Baodeng Hou. Spatio-Temporal Variation of Heavy Metal Pollution during Accidents: A Case Study of the Heshangshan Protected Water Area, China. Sustainability 2019, 11, 6919 .
AMA StyleXiaowen Ding, Yue Tan, Baodeng Hou. Spatio-Temporal Variation of Heavy Metal Pollution during Accidents: A Case Study of the Heshangshan Protected Water Area, China. Sustainability. 2019; 11 (24):6919.
Chicago/Turabian StyleXiaowen Ding; Yue Tan; Baodeng Hou. 2019. "Spatio-Temporal Variation of Heavy Metal Pollution during Accidents: A Case Study of the Heshangshan Protected Water Area, China." Sustainability 11, no. 24: 6919.
Evapotranspiration (ET) has undergone profound changes as a result of global climate change and anthropogenic activities. The construction of the Three Gorges Reservoir (TGR) has led to changes in its land use/land cover (LUCC) and local climate, which in turn has changed ET processes in the TGR region. In this paper, the CLM4.5 land surface model is used to simulate and analyze the spatiotemporal variability of ET between 1993 and 2013. Four experiments were conducted to quantify the contribution rate of climate change and LUCC to changes in ET processes. The results show that the climate showed a warming and drying trend from 1993 to 2013, and the LUCC indicates decreasing cropland with increasing forest, grassland, water bodies and urban areas. These changes increased the mean annual ET by 13.76 mm after impoundment. Spatially, the vegetation transpiration accounts for the largest proportion in ET. The decreasing relative humidity and increasing wind speeds led to an increase in vegetation transpiration and ground evaporation, respectively, in the center of the TGR region, while the LUCC drove changes in ET in water bodies, urban areas and high-altitude regions in the TGR region.
Hejia Wang; Weihua Xiao; Yong Zhao; Yicheng Wang; Baodeng Hou; Yuyan Zhou; Heng Yang; Xuelei Zhang; Hao Cui. The Spatiotemporal Variability of Evapotranspiration and Its Response to Climate Change and Land Use/Land Cover Change in the Three Gorges Reservoir. Water 2019, 11, 1739 .
AMA StyleHejia Wang, Weihua Xiao, Yong Zhao, Yicheng Wang, Baodeng Hou, Yuyan Zhou, Heng Yang, Xuelei Zhang, Hao Cui. The Spatiotemporal Variability of Evapotranspiration and Its Response to Climate Change and Land Use/Land Cover Change in the Three Gorges Reservoir. Water. 2019; 11 (9):1739.
Chicago/Turabian StyleHejia Wang; Weihua Xiao; Yong Zhao; Yicheng Wang; Baodeng Hou; Yuyan Zhou; Heng Yang; Xuelei Zhang; Hao Cui. 2019. "The Spatiotemporal Variability of Evapotranspiration and Its Response to Climate Change and Land Use/Land Cover Change in the Three Gorges Reservoir." Water 11, no. 9: 1739.
Agricultural irrigation is an important factor affecting the development of agricultural drought, which is not showed in the Palmer Drought Severity Index (PDSI). In this work, the water balance model in PDSI has been modified by adding irrigation items, which improves the accuracy of the calculation results of the model and shortens the calculation time step. The modified Palmer Drought Severity Index (M_PDSI) is constructed by using daily weather data and irrigation data from 1985-2012 in the study area. Weekly indices cumulated in each growth stage are used for the implementation of crop models by a linear multiple regression model. The crop yield models are evaluated to determine a more appropriate agricultural drought index between M_PDSI and PDSI by comparing the predicted yields to the observed yields. By comparing the development of agricultural drought, it can be seen that the M_PDSI can improve the sensitivity to the dynamic change of soil wet and dry in short-term, and the development process of drought is more in line with the actual situation; by comparing the fitting test results of the predicted yields, it can be seen that, the M_PDSI ranks better than the PDSI in all four goodness-of-fit measures, M_PDSI is proved to be more suitable than PDSI for evaluating agricultural drought.
Mingzhi Yang; Weihua Xiao; Yong Zhao; Baoqi Li; Yan Wang; Heng Yang; Baodeng Hou. The applicability of A Modified Palmer Drought Severity Index on Agricultural Drought Evaluation in the North China. MATEC Web of Conferences 2018, 246, 02002 .
AMA StyleMingzhi Yang, Weihua Xiao, Yong Zhao, Baoqi Li, Yan Wang, Heng Yang, Baodeng Hou. The applicability of A Modified Palmer Drought Severity Index on Agricultural Drought Evaluation in the North China. MATEC Web of Conferences. 2018; 246 ():02002.
Chicago/Turabian StyleMingzhi Yang; Weihua Xiao; Yong Zhao; Baoqi Li; Yan Wang; Heng Yang; Baodeng Hou. 2018. "The applicability of A Modified Palmer Drought Severity Index on Agricultural Drought Evaluation in the North China." MATEC Web of Conferences 246, no. : 02002.
The intense climate changes and human activities have a great impact on the variation of the runoff of the coastal area of South China. In this work, the Soil and Water Assessment Tool (SWAT) is used to quantify the impact of land use and climate change of the Nanliujiang catchment on the runoff by setting 4 scenarios of land-use and climate change. The results show the runoff of the simulated and measured values had a similar trend. The value of relevant coefficient is above 0.8, and the value of Nash-Sutcliffe efficiency coefficient is about 0.8, which indicate that the SWAT model is fit for the study area. The annual average runoff depth during the period from 1995 to 2013 has increased by 53.5mm, of which the land use change resulted in 13.0mm increase on the annual average runoff depth while the climate change resulted in 40.9mm increase on the annual average runoff depth, therefore, the climate change has greater effect then the land use change. This work will delineate some helpful information for the water resources management as well as ecological protection in the coastal area of South China.
Mingzhi Yang; Weihua Xiao; Yong Zhao; Ya Huang; Baoqi Li; Dachuan Jiang; Fan Lu; Baodeng Hou. Impact of changes in land use and climate on the Runoff in the coastal areas of South China—A case study of the Nanliujiang catchment. MATEC Web of Conferences 2018, 246, 02001 .
AMA StyleMingzhi Yang, Weihua Xiao, Yong Zhao, Ya Huang, Baoqi Li, Dachuan Jiang, Fan Lu, Baodeng Hou. Impact of changes in land use and climate on the Runoff in the coastal areas of South China—A case study of the Nanliujiang catchment. MATEC Web of Conferences. 2018; 246 ():02001.
Chicago/Turabian StyleMingzhi Yang; Weihua Xiao; Yong Zhao; Ya Huang; Baoqi Li; Dachuan Jiang; Fan Lu; Baodeng Hou. 2018. "Impact of changes in land use and climate on the Runoff in the coastal areas of South China—A case study of the Nanliujiang catchment." MATEC Web of Conferences 246, no. : 02001.
As important subsystems of the urban environment, water resources and energy are necessary for normal urban functions and play an important supporting role in urbanization. The rapid development of China’s economy is increasingly dependent on these two subsystems. Analyses of the relationship between urbanization and water use or energy consumption have become the focus of attention, but researchers have mainly evaluated the impact on the two subsystems separately without providing an integrated analysis, nor have they revealed the link between water use and energy consumption. We addressed this information gap by using an econometric method to empirically investigate the long-term equilibrium relationships and Granger causal relationships among urbanization, water use, and energy consumption in China, and by conducting a spatiotemporal analysis to identify the trends of water use intensity and energy consumption intensity under the effects of urbanization during 2005–2015. We found long-term equilibrium relationships among urbanization, water use, and energy consumption. Granger causality results reveal the presence of a unidirectional Granger causal relationship running from urbanization to energy consumption and to water use, and bidirectional causality between energy consumption and water use. Moreover, water use intensity and energy consumption intensity decreased significantly under urbanization during the study period.
Yan Wang; Weihua Xiao; Yicheng Wang; Yong Zhao; Jianhua Wang; Baodeng Hou; Xinyi Song; Xuelei Zhang. Impact of China’s Urbanization on Water Use and Energy Consumption: An Econometric Method and Spatiotemporal Analysis. Water 2018, 10, 1323 .
AMA StyleYan Wang, Weihua Xiao, Yicheng Wang, Yong Zhao, Jianhua Wang, Baodeng Hou, Xinyi Song, Xuelei Zhang. Impact of China’s Urbanization on Water Use and Energy Consumption: An Econometric Method and Spatiotemporal Analysis. Water. 2018; 10 (10):1323.
Chicago/Turabian StyleYan Wang; Weihua Xiao; Yicheng Wang; Yong Zhao; Jianhua Wang; Baodeng Hou; Xinyi Song; Xuelei Zhang. 2018. "Impact of China’s Urbanization on Water Use and Energy Consumption: An Econometric Method and Spatiotemporal Analysis." Water 10, no. 10: 1323.
Water and energy are basic resources for urban development. It is of extreme importance to balance economic development, water and energy security, and environmental sustainability at the city level. Although many studies have focused on energy-related CO2 emissions or water resources, individually, in relation to socioeconomic development, few studies have considered water and energy-related CO2 emissions as synchronous limiting factors. Here, taking Beijing as an example, a partial least squares STIRPAT model—a method that combines partial least squares with the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model—was used to determine the main driving factors of water use and energy-related CO2 emissions at the regional scale from 1996 to 2016. The empirical results showed that the population, per capita gross domestic product (GDP), urbanization level, technology level, and service level, are all important factors that influence the total water use and energy-related CO2 emissions. Additionally, eight scenarios were established to explore suitable development modes for future years. Consequently, a medium growth rate in socioeconomic status and population, and a high growth rate in the technology and service level, were found to be the most appropriate development modes. This scenario would result in a total water use of 4432.13 million m3 and energy-related CO2 emissions of 173.64 million tons in 2030. The results provide a new perspective for decision makers to explore suitable measures for simultaneously conserving water resources and reducing energy-related CO2 emissions in the context of urban development.
Yan Wang; Weihua Xiao; Yicheng Wang; Baodeng Hou; Heng Yang; Xuelei Zhang; Mingzhi Yang; Lishan Zhu. Exploring City Development Modes under the Dual Control of Water Resources and Energy-Related CO2 Emissions: The Case of Beijing, China. Sustainability 2018, 10, 3155 .
AMA StyleYan Wang, Weihua Xiao, Yicheng Wang, Baodeng Hou, Heng Yang, Xuelei Zhang, Mingzhi Yang, Lishan Zhu. Exploring City Development Modes under the Dual Control of Water Resources and Energy-Related CO2 Emissions: The Case of Beijing, China. Sustainability. 2018; 10 (9):3155.
Chicago/Turabian StyleYan Wang; Weihua Xiao; Yicheng Wang; Baodeng Hou; Heng Yang; Xuelei Zhang; Mingzhi Yang; Lishan Zhu. 2018. "Exploring City Development Modes under the Dual Control of Water Resources and Energy-Related CO2 Emissions: The Case of Beijing, China." Sustainability 10, no. 9: 3155.
We wish to make the following correction to the published paper
Wenxiang Pan; Baodeng Hou; Ruixiang Yang; Xuzhu Zhan; Wenkai Tian; Baoqi Li; Weihua Xiao; Jianhua Wang; Yuyan Zhou; Yong Zhao; Xuerui Gao. Correction: Hou, B. et al. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand. Water 2018, 10, 696. Water 2018, 10, 1172 .
AMA StyleWenxiang Pan, Baodeng Hou, Ruixiang Yang, Xuzhu Zhan, Wenkai Tian, Baoqi Li, Weihua Xiao, Jianhua Wang, Yuyan Zhou, Yong Zhao, Xuerui Gao. Correction: Hou, B. et al. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand. Water 2018, 10, 696. Water. 2018; 10 (9):1172.
Chicago/Turabian StyleWenxiang Pan; Baodeng Hou; Ruixiang Yang; Xuzhu Zhan; Wenkai Tian; Baoqi Li; Weihua Xiao; Jianhua Wang; Yuyan Zhou; Yong Zhao; Xuerui Gao. 2018. "Correction: Hou, B. et al. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand. Water 2018, 10, 696." Water 10, no. 9: 1172.
Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization standards. As such, mastering the mechanisms of household water demand, scientifically predicting trends of household water demand, and implementing reasonable control measures are key focuses of current urban water management. Based on the categorization and characteristic analysis of household water, this paper used Maslow’s Hierarchy of Needs to establish a level and grade theory of household water demand, whereby household water is classified into three levels (rigid water demand, flexible water demand, and luxury water demand) and three grades (basic water demand, reasonable water demand, and representational water demand). An in-depth analysis was then carried out on the factors that influence the computation of household water demand, whereby equations for different household water categories were established, and computations for different levels of household water were proposed. Finally, observational experiments on household water consumption were designed, and observation and simulation computations were performed on three typical households in order to verify the scientific outcome and rationality of the computation of household water demand. The research findings contribute to the enhancement and development of prediction theories on water demand, and they are of high theoretical and realistic significance in terms of scientifically predicting future household water demand and fine-tuning the management of urban water resources.
Wenxiang Pan; Baodeng Hou; Ruixiang Yang; Xuzhu Zhan; Wenkai Tian; Baoqi Li; Weihua Xiao; Jianhua Wang; Yuyan Zhou; Yong Zhao; Xuerui Gao. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand. Water 2018, 10, 696 .
AMA StyleWenxiang Pan, Baodeng Hou, Ruixiang Yang, Xuzhu Zhan, Wenkai Tian, Baoqi Li, Weihua Xiao, Jianhua Wang, Yuyan Zhou, Yong Zhao, Xuerui Gao. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand. Water. 2018; 10 (6):696.
Chicago/Turabian StyleWenxiang Pan; Baodeng Hou; Ruixiang Yang; Xuzhu Zhan; Wenkai Tian; Baoqi Li; Weihua Xiao; Jianhua Wang; Yuyan Zhou; Yong Zhao; Xuerui Gao. 2018. "Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand." Water 10, no. 6: 696.
The Nanliujiang catchment is one of major rice production bases of South China. Irrigation districts play an important role in rice production which requires a large quantity of water. There are potential risks on future climate change in response to rice production, agricultural irrigation water use and pollution control locally. The SWAT model was used to quantify the yield and water footprint (WF) of rice in this catchment. A combined method of automatic and manual sub-basin delineation was used for the model setup in this work to reflect the differences between irrigation districts in yield and water use of rice. We validated our simulations against observed leaf area index, biomass and yield of rice, evapotranspiration and runoff. The outputs of three GCMs (GFDL-ESM2M, IPSL-CM5A-LR and HadGEM2-ES) under three RCPs (RCP2.6, 4.5, 8.5) were fed to the SWAT model. The results showed that: (a) the SWAT model is an ideal tool to simulate rice development as well as hydrology; (b) there would be increases in rice yield ranged from +1.4 to +10.6% under climate projections of GFDL-ESM2M and IPSL-CM5A-LR but slight decreases ranged from −3.5 to −0.8% under that of HadGEM2-ES; (c) the yield and WFs of rice displayed clear differences in the catchment, with a characteristic that high in the south and low in the north, mainly due to the differences in climatic conditions, soil quality and fertilization amount; (d) there would be a decrease by 45.5% in blue WF with an increase by 88.1% in green WF, which could provide favorable conditions to enlarge irrigated areas and take technical measures for improving green water use efficiency of irrigation districts; (e) a clear rise in future grey WF would present enormous challenges for the protection of water resources and environmental pollution control in this catchment. So it should be to improved nutrient management strategies for the agricultural non-point source pollution control in irrigation districts, especially for the Hongchaojiang and Hepu irrigation districts.
Mingzhi Yang; Weihua Xiao; Yong Zhao; Xudong Li; Ya Huang; Fan Lu; Baodeng Hou; Baoqi Li. Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China. Sustainability 2018, 10, 242 .
AMA StyleMingzhi Yang, Weihua Xiao, Yong Zhao, Xudong Li, Ya Huang, Fan Lu, Baodeng Hou, Baoqi Li. Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China. Sustainability. 2018; 10 (2):242.
Chicago/Turabian StyleMingzhi Yang; Weihua Xiao; Yong Zhao; Xudong Li; Ya Huang; Fan Lu; Baodeng Hou; Baoqi Li. 2018. "Assessment of Potential Climate Change Effects on the Rice Yield and Water Footprint in the Nanliujiang Catchment, China." Sustainability 10, no. 2: 242.
Wu Wenling; Lu Hailu; Hou Baodeng; Yan Denghua; Dong Liang; Pan Yongjie. Research on Disruptive Technologies in Railway, Hydraulic, and Architectural Engineering. Chinese Journal of Engineering Science 2018, 20, 42 -49.
AMA StyleWu Wenling, Lu Hailu, Hou Baodeng, Yan Denghua, Dong Liang, Pan Yongjie. Research on Disruptive Technologies in Railway, Hydraulic, and Architectural Engineering. Chinese Journal of Engineering Science. 2018; 20 (6):42-49.
Chicago/Turabian StyleWu Wenling; Lu Hailu; Hou Baodeng; Yan Denghua; Dong Liang; Pan Yongjie. 2018. "Research on Disruptive Technologies in Railway, Hydraulic, and Architectural Engineering." Chinese Journal of Engineering Science 20, no. 6: 42-49.
Under the combined impacts of climate change and human activities, a series of water issues, such as water shortages, have arisen all over the world. According to current studies in Science and Nature, water security has become a frontier critical topic. Water supply security (WSS), which is the state of water resources and their capacity and their capacity to meet the demand of water users by water supply systems, is an important part of water security. Currently, WSS is affected by the amount of water resources, water supply projects, water quality and water management. Water shortages have also led to water supply insecurity. WSS is now evaluated based on the balance of the supply and demand under a single water resources condition without considering the dynamics of the varying conditions of water resources each year. This paper developed an optimal allocation model for water resources that can realize the optimal allocation of regional water resources and comprehensively evaluate WSS. The objective of this model is to minimize the duration of water shortages in the long term, as characterized by the Water Supply Security Index (WSSI), which is the assessment value of WSS, a larger WSSI value indicates better results. In addition, the simulation results of the model can determine the change process and dynamic evolution of the WSS. Quanzhou, a city in China with serious water shortage problems, was selected as a case study. The allocation results of the current year and target year of planning demonstrated that the level of regional comprehensive WSS was significantly influenced by the capacity of water supply projects and the conditions of the natural water resources. The varying conditions of the water resources allocation results in the same year demonstrated that the allocation results and WSSI were significantly affected by reductions in precipitation, decreases in the water yield coefficient, and changes in the underlying surface.
Jianhua Wang; Baodeng Hou; Dachuan Jiang; Weihua Xiao; Yongxiang Wu; Yong Zhao; Yuyan Zhou; Chongshan Guo; Gaoxu Wang. Optimal Allocation of Water Resources Based on Water Supply Security. Water 2016, 8, 237 .
AMA StyleJianhua Wang, Baodeng Hou, Dachuan Jiang, Weihua Xiao, Yongxiang Wu, Yong Zhao, Yuyan Zhou, Chongshan Guo, Gaoxu Wang. Optimal Allocation of Water Resources Based on Water Supply Security. Water. 2016; 8 (6):237.
Chicago/Turabian StyleJianhua Wang; Baodeng Hou; Dachuan Jiang; Weihua Xiao; Yongxiang Wu; Yong Zhao; Yuyan Zhou; Chongshan Guo; Gaoxu Wang. 2016. "Optimal Allocation of Water Resources Based on Water Supply Security." Water 8, no. 6: 237.
The frequent occurrence of geophysical disasters under climate change has drawn Chinese scholars to pay their attention to disaster relations. If the occurrence sequence of disasters could be identified, long-term disaster forecast could be realized. Based on the Earth Degassing Effect (EDE) which is valid, this paper took the magnitude, epicenter, and occurrence time of the earthquake, as well as the epicenter and occurrence time of the rainstorm floods as basic factors to establish an integrated model to study the correlation between rainstorm floods and earthquakes. 2461 severe earthquakes occurred in China or within 3000 km from China and the 169 heavy rainstorm floods occurred in China over the past 200+ years as the input data of the model. The computational results showed that although most of the rainstorm floods have nothing to do with the severe earthquakes from a statistical perspective, some floods might relate to earthquakes. This is especially true when the earthquakes happen in the vapor transmission zone where rainstorms lead to abundant water vapors. In this regard, earthquakes are more likely to cause big rainstorm floods. However, many cases of rainstorm floods could be found after severe earthquakes with a large extent of uncertainty.
Baodeng Hou; Yongxiang Wu; Jianhua Wang; Kai Wu; Weihua Xiao. Statistics and Analysis of the Relations between Rainstorm Floods and Earthquakes. Advances in Meteorology 2016, 2016, 1 -13.
AMA StyleBaodeng Hou, Yongxiang Wu, Jianhua Wang, Kai Wu, Weihua Xiao. Statistics and Analysis of the Relations between Rainstorm Floods and Earthquakes. Advances in Meteorology. 2016; 2016 ():1-13.
Chicago/Turabian StyleBaodeng Hou; Yongxiang Wu; Jianhua Wang; Kai Wu; Weihua Xiao. 2016. "Statistics and Analysis of the Relations between Rainstorm Floods and Earthquakes." Advances in Meteorology 2016, no. : 1-13.
This study analyzes the duration and division of the flood season in the Fenhe River Basin over the period of 1957–2014 based on daily precipitation data collected from 14 meteorological stations. The Mann–Kendall detection, the multiscale moving t-test, and the Fisher optimal partition methods are used to evaluate the impact of climate change on flood season duration and division. The results show that the duration of the flood season has extended in 1975–2014 compared to that in 1957–1974. Specifically, the onset date of the flood season has advanced 15 days, whereas the retreat date of the flood season remains almost the same. The flood season of the Fenhe River Basin can be divided into three stages, and the variations in the onset and retreat dates of each stage are also examined. Corresponding measures are also proposed to better utilize the flood resources to adapt to the flood season variations.
Hejia Wang; Weihua Xiao; Jianhua Wang; Yicheng Wang; Ya Huang; Baodeng Hou; Chuiyu Lu. The Impact of Climate Change on the Duration and Division of Flood Season in the Fenhe River Basin, China. Water 2016, 8, 105 .
AMA StyleHejia Wang, Weihua Xiao, Jianhua Wang, Yicheng Wang, Ya Huang, Baodeng Hou, Chuiyu Lu. The Impact of Climate Change on the Duration and Division of Flood Season in the Fenhe River Basin, China. Water. 2016; 8 (3):105.
Chicago/Turabian StyleHejia Wang; Weihua Xiao; Jianhua Wang; Yicheng Wang; Ya Huang; Baodeng Hou; Chuiyu Lu. 2016. "The Impact of Climate Change on the Duration and Division of Flood Season in the Fenhe River Basin, China." Water 8, no. 3: 105.
The impact brought by hydropower cascade development on the environment is increasingly significant. At the sustainable development request, the traditional environmental impact assessment exposes many shortcomings, while it has defects of its own. Thus the cumulative environmental effects assessment is introduced here. The comparison between traditional and cumulative environmental effects t assessment shows that: the cumulative environmental effects assessment can meet the requirements on sustainable development and also has a great necessity and practical significance in hydropower cascade development in river basin. Combined with the hydropower cascade development in the main stream of the upper typical reaches of Minjiang River, conduct the environmental study on the cumulative evaluation from the water environment, ecological environment and social environment. The results reveal: the cascade development of hydropower in the typical reaches from Lianghekou to Dujiangyan in the main stream of Minjiang River has generated a certain amount of cumulative impact on the environment, especially on water environment.
Baodeng Hou; Yongxiang Wu; Jialei Li. Environmental cumulative effects assessment of cascade hydropower development in the main stream of the upper typical reaches in Minjiang River. 2011 International Conference on Remote Sensing, Environment and Transportation Engineering 2011, 304 -309.
AMA StyleBaodeng Hou, Yongxiang Wu, Jialei Li. Environmental cumulative effects assessment of cascade hydropower development in the main stream of the upper typical reaches in Minjiang River. 2011 International Conference on Remote Sensing, Environment and Transportation Engineering. 2011; ():304-309.
Chicago/Turabian StyleBaodeng Hou; Yongxiang Wu; Jialei Li. 2011. "Environmental cumulative effects assessment of cascade hydropower development in the main stream of the upper typical reaches in Minjiang River." 2011 International Conference on Remote Sensing, Environment and Transportation Engineering , no. : 304-309.