scholarly journals Water Resources Carrying Capacity Analysis of YarLung Tsangpo River Basin (I)

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1131 ◽  
Author(s):  
Lili Wang ◽  
Zhonggen Wang ◽  
Xiaocong Liu
Keyword(s):  
Growth Rate ◽  
Water Resources ◽  
Population Growth ◽  
Water Use ◽  
Carrying Capacity ◽  
Population Growth Rate ◽  
Water Resources Carrying Capacity ◽  
Use Efficiency ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Water resources carrying capacity (WRCC) analysis is critically important in providing guidance to the sustainable development strategies of the YarLung Tsangpo River Basin (YTRB) due to the conflicts among the ample water resources, low development level of society, and the fragile ecological environment. This study evaluated the scheduled developing mode of YTRB in the planning years from 2016 to 2030 with a WRCC system containing three components: a hydrological informatics modeling system (HIMS), water resources carrying capacity (WRCC) model, and an index evaluation system. The averaged WRCC index is 4.29, 1.19, and 0.06 for the planning years, and 2.61, 0.98, 0.05 for the baseline years for the three sub-basins. The water deficiency problem becomes more severe in the upper sub-basin and appears in the middle sub-basin with the WRCC index greater than 1, while the water resources are not fully utilized in the lower sub-basin in the planning years, with the WRCC index far less than 1. The GDP of the three sub-basins is greater in the planning years, with 2.25 × 108, 54.60 × 108, and 3.94 × 108 dollars year−1 than those in the baseline years with 1.97 × 108, 47.71 × 108, 3.43 × 108 dollars year−1. However, GDP per capita/cubic meter keeps decreasing due to the great population growth rate and non-enhanced water use efficiency. The sustainability index is 0.04, 0.23, and 0.47 in the planning years, which is lower than the 0.04, 0.31, and 0.50 in the baseline years. Therefore, the scheduled growth rates of the population, urbanization, and GDP are a developing mode with low sustainability and are not appropriate to be continued in the planning years. Further work is needed to identify a sustainable developing mode with a decreased population growth rate, enhanced water use efficiency in the economic system, and the optimized allocation of water resources distribution in the three sub-basins with hydraulic facilities.

scholarly journals An Improved Ecological Footprint Method for Water Resources Utilization Assessment in the Cities

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 503
Author(s):  
Hui Li ◽  
Fen Zhao ◽  
Chunhui Li ◽  
Yujun Yi ◽  
Jiuhe Bu ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Consumption ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Yellow River ◽  
The Yellow River ◽  
Water Resources Carrying Capacity ◽  
Use Efficiency ◽  
Per Capita

Economic development and increasing population density along the lower reaches of the Yellow river have challenged the river’s ability to meet human and ecological demand. The evaluation of the sustainability of water resources in the lower reaches of the Yellow River is of great significance for the achievement of high-quality development in the region. Based on an improved ecological footprint method considering soil water, the spatial and temporal evolution of the water resources ecological footprint and water resources carrying capacity and evaluates the utilization of water resources in the lower Yellow River are comprehensively evaluated. The results show that agricultural water consumption in the urban agglomerations in the lower reaches of the Yellow River occupies a major position in water consumption, accounting for more than 70%. In 2013–2017, the per capita water resources ecological footprint of the cities along the lower reaches of the Yellow River decreases every year, while the water resources carrying capacity is slightly fluctuating, but remains in a relatively stable state. The deficit situation has eased, falling by 54.52% in the past five years. The water use efficiency of the lower reaches of the Yellow River has increased every year, and the water resources conflict improved significantly, after the implementation of the new environmental policy in 2015. In terms of space, the cities with the smallest per capita ecological deficits include Zibo, Zhengzhou, and Laiwu City, and Dezhou, and Kaifeng and Binzhou City have the largest. Strict water resources management measures and water pollution prevention and control regulations should be formulated to improve the water use efficiency in these areas in order to solve the problem of water shortage.

scholarly journals Will China's water resources be safe in 2030?

Water Policy ◽  
2021 ◽  
Author(s):  
Lishuo Guo ◽  
Lifang Wang
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Water Use ◽  
Carrying Capacity ◽  
Water Resource Management ◽  
Resource Management System ◽  
Water Resources Carrying Capacity ◽  
Social And Economic Development ◽  
The Status ◽  
Use Efficiency

Abstract This paper is distinct from existing studies on water resources carrying capacity which usually use dimensionless data to represent trend and status of water resources carrying capacity. Here, on the grounds of the most stringent water resource management system and following the principles of water determining population, water determining city scale, water determining production and so on, water resources carrying capacity prediction model was established. The water resources carrying capacity was represented by population, which can directly reflect the status of water resources. Under the rigid constraints of water use quantity and water use efficiency, six scenarios were set to predict China's maximum population in 2030. The results demonstrated that the maximum population in each scenario is close to 1.45 billion of National Population Development Plan. It means water resources rigid constraints can support population and economic growth at the socio-economic development current pace and path. Total water use quantity will not break through the limit of 800–900 billion m3 when achieving the expected goals of social and economic development, not even more than 700 billion m3. Meanwhile, in order to relieve water resources stress, to improve water resources carrying capacity, and to accelerate construction of a water-saving society, some suggestions were put forward.

Population Growth Rate And Carrying Capacity For SpringtailsFolsomia CandidaExposed To Ivermectin

2006 ◽  
Vol 16 (2) ◽  
pp. 656-665 ◽  
Author(s):  
Helen L. Noël ◽  
Steve P. Hopkin ◽  
Thomas H. Hutchinson ◽  
Tim D. Williams ◽  
Richard M. Sibly
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Carrying Capacity ◽  
Population Growth Rate

scholarly journals Density dependence in the camelid Vicugna vicugna: the recovery of a protected population in Chile

Oryx ◽  
2002 ◽  
Vol 36 (2) ◽  
pp. 118-125 ◽  
Author(s):  
C. Bonacic ◽  
D. W. Macdonald ◽  
J. Galaz ◽  
R. M. Sibly
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Density Dependence ◽  
Primary Productivity ◽  
Carrying Capacity ◽  
Population Growth Rate ◽  
Census Data ◽  
South American ◽  
Density Dependent ◽  
Vicugna Vicugna

The vicuña Vicugna vicugna is a wild South American camelid. Following over-exploitation, which brought the species to the brink of extinction in Chile in the 1960s, the population was protected. Since 1975 the population has been censused annually, generating one of the most extensive long-term census databases for any South American mammal. In this paper we use these data, and measures of environmental parameters, to describe the population growth trend of the species and to estimate carrying capacity. Our results indicate that the vicuña has been protected successfully in northern Chile. The census data reveal that, following protection, the population displayed logistic growth between 1975 and 1992. Population growth rate declined linearly with population size, which indicates a degree of density dependence. Density independent factors, such as rainfall, may also have been important. The principal density dependent effect observed was that birth rate declined in those family groups with the most breeding females. The carrying capacity of the study area was estimated from the census data and from models based on precipitation and local primary productivity. Using the census data, an estimation of carrying capacity as the asymptote of the fitted logistic curve suggested that the vicuña population should reach approximately 26,000 vicuñas, whereas estimation when the population growth rate was equated to zero gave a carrying capacity of c. 22,000. Coe's method based on local precipitation predicted 31,000 vicuña, whereas Lavenroth's method based on local primary productivity predicted 26,000 vicuña. In reality, the census data showed that the population peaked at 22,463 vicuñas in 1990. The results are discussed in relation to the need for better census techniques and the implications of density dependent effects for the management of the vicuña in Chile.

scholarly journals A METHOD TO ESTIMATE THE LAND USE EFFICIENCY IN THE OLD CITY OF BEIJING

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1073-1076
Author(s):  
J. X. Zhang ◽  
G. Y. Cai
Keyword(s):  
Land Use ◽  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Rapid Development ◽  
Limited Region ◽  
Land Use Efficiency ◽  
In Situ Investigation ◽  
Old City ◽  
Use Efficiency

Abstract. The old city of Beijing represents the brilliant history and attracts people’s attention worldwide. With the rapid development of urbanization in Beijing, the old city is facing the problem that more and more people are working or living in this limited region. How to estimate the land use efficiency in the old city is crucial for the city planners to perform some policy-making decisions. Based on the Sustainable Development Goal 11 (SDG 11) which is to develop inclusive, safe, resilient and sustainable cities and human settlements, in which indicator SDG 11.3.1 is designed to testify the land use efficiency that is defined as a ratio between land consumption rate to population growth rate(PGR).This paper focus on how to evaluate the land use efficiency in the old city where the land is limited to a region while people are in a continuous growing. Based on the extraction of buildings from high resolution images with sub-meter spatial resolution in the area enclosed by the second-ring road which is mainly consists of Dongcheng and Xicheng districts, this study obtained the 3D building information including building height and floor numbers over years from 2005, 2010 to 2015 with the help of visually interpretation, POI information and the in situ investigation. By calculating the ratio of the building density growth rate(BDGR) to the population growth rate, the land use efficiency in the old city was computed for each year. Our results showed that most of the ratios are greater than 1 over year from 2005 to 2010 and less than 1 during periods from 2010 to 2015. Which means that the land use efficiency tend to lower from 2010 to 2015 than from 2005–2010. The reasons caused this phenomenon has been discussed in the discussion part. The results are helpful for local governors or managers to make a better decision in the protection and conservation of the old city, and to keep a sustainable old city.

scholarly journals Carrying Capacity of Land in Bali based on Ecological Footprint

2021 ◽  
Vol 903 (1) ◽  
pp. 012014
Author(s):  
A A B Bayu Baskhara Hutama ◽  
A K Muktiwibowo ◽  
Widiastuti ◽  
K E Saputra
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Population Growth Rate ◽  
Agricultural Land ◽  
National Level ◽  
Secondary Data ◽  
Population Census ◽  
Average Population

Abstract In 2000-2010, based on data from the Population Census in Bali, the average population growth rate was 2.15% per year, this value was greater than the average population growth rate at the national level of 1.49% per year. The increasing number of population growth results in increased development. This causes an increase in the need for land to accommodate these development activities. The reduced availability of productive land because it is used for development facilities has resulted in reduced land carrying capacity in Bali. The purpose of this study was to analyze the value of the carrying capacity of land in Bali using the Ecological Footprint analysis approach. The research methodology is quantitative focusing on secondary data analysis, based on the mathematical calculation method developed by the Global Footprint Network, which has the term biocapacity which means supply and ecological footprint which means demand. After comparing biocapacity and ecological footprint, the results show that the carrying capacity of land in Bali is generally in deficit. Things that can be done to increase the carrying capacity of land are to reduce the rate of population growth, increase land productivity by intensifying agricultural land, and be wiser in carrying out land conversion in the future.

scholarly journals Spatial Dynamics Model of Land Availability and Population Growth Prediction in Bengkulu City

2020 ◽  
Vol 52 (3) ◽  
pp. 427
Author(s):  
Della Ayu Lestari ◽  
Dewi Susiloningtyas ◽  
Supriatna Supriatna
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Carrying Capacity ◽  
Population Growth Rate ◽  
Spatial Dynamics ◽  
Distribution Patterns ◽  
High Population ◽  
Dynamics Model ◽  
Land Availability ◽  
High Population Growth

Bengkulu City is the center for almost all activities and has a high population growth rate. Because of the high population growth rate, human needs for space and land will increase. Land availability will continue to decline, while it cannot increase the existing area. This will impact the carrying capacity of the environment, so it needs predictions for land availability. This study used a spatial dynamics model which is an analysis of the dynamic system model and the suitability of the built-up area. The carrying capacity to reach excellent quality when the length of the built-up area is 30-70% of the total area that can be used. The results showed that the built-up area will reach 70% in 2030, which means it will exceed the environmental carrying capacity threshold. The results showed there were differences between the distribution patterns of built-up area in the spatial dynamics model and Spatial Planning Bengkulu City in 2032 at Kampung Melayu Subdistrict, Selebar Subdistrict, Singaran Pati Subdistrict, and Sungai Serut Subdistrict.

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