The Environmental Early Warning Management of Water Resources Carrying Capacity of Ski Resorts in China

2020 ◽  
Vol 115 (sp1) ◽  
pp. 430
Author(s):  
Ping Wang ◽  
Zhiqiang Zhu ◽  
Yuhong Fei
Keyword(s):  
Water Resources ◽  
Early Warning ◽  
Carrying Capacity ◽  
Ski Resorts ◽  
Water Resources Carrying Capacity ◽  
Early Warning Management

scholarly journals Early Warning Method for Regional Water Resources Carrying Capacity Based on the Logical Curve and Aggregate Warning Index

2020 ◽  
Vol 17 (7) ◽  
pp. 2206
Author(s):  
Menglu Chen ◽  
Juliang Jin ◽  
Shaowei Ning ◽  
Yuliang Zhou ◽  
Parmeshwar Udmale
Keyword(s):  
Water Resources ◽  
Early Warning ◽  
Carrying Capacity ◽  
Warning System ◽  
Anhui Province ◽  
Warning Sign ◽  
Water Resources Carrying Capacity ◽  
Warning Limits ◽  
Improved Model ◽  
Regional Water

The sustainable utilization of water resources is a significant factor in the development of the national economy and society. Regional water resources carrying capacity (RWRCC) is an appropriate method for evaluating the balance in such utilization. In this paper, we combined time difference correlation analysis and set pair analysis firstly to identify the early warning sign index (EWSI) for RWRCC, and warning limits were determined using a logical curve. Analytic hierarchy process based on the accelerating genetic algorithm (AGA-AHP) method was used to improve the KLR model by determining weights objectively. We took advantage of the new improved model to build the aggregate warning index (AWI). Then, according to the corresponding relationship between EWSI and AWI, the early warning system for regional water resources carrying capacity (EWS-RWRCC) was established, and a case study was carried out in Anhui Province. The results showed there are eight effective EWSI obtained through the early warning analysis process of RWRCC in Anhui Province, among which the repetitive use rate of industrial water and average daily coefficient have a greater impact on AWI. Basically, the EWS-RWRCC can describe RWRCC changes in Anhui Province. From 2006 to 2014, more than half the signal lights in Anhui Province were yellow and orange, which indicated a poor state. It has been proved that the constraints of population, GDP growth and water supply capacity on the utilization of water resources in the future will be further tightened, which should be considered for future monitoring and early warning. The early warning method we used here can be widely applied into other fields; the results will enhance monitoring capacity and scientifically guide regional water resources management.

scholarly journals Research on the County Water Resources Carrying Capacity in the New Period

2021 ◽  
Vol 276 ◽  
pp. 01009
Author(s):  
Jinxing Li ◽  
Lianfeng Ke ◽  
Le Yang ◽  
Heshuai Qi
Keyword(s):  
Water Resources ◽  
Social Development ◽  
Early Warning ◽  
Carrying Capacity ◽  
Local Governments ◽  
Central Government ◽  
Control Measures ◽  
Basic Unit ◽  
Water Resources Carrying Capacity ◽  
Capacity Evaluation

With the rapid economic and social development, human disturbances to the ecosystem have become more and more intense. However, the scale of regional economic and social development, supported by regional water resources, has boundaries. The central government and local governments of all levels have clearly proposed to carry out water resources carrying capacity evaluation and early warning. From the perspective of the actual management of the county water administrative department, with the administrative divisions within the county as the basic unit, the principle of index selection and index grading standards determination is proposed, and an index system including the four major levels of society, economy, water resources, and ecology is constructed. Then, combined with the functions of various government departments, the basic framework of a universal water resources carrying capacity early warning mechanism, including three major processes: carrying capacity evaluation and update, early warning information release, and implementation of differentiated control measures, is proposed.

Water Resources Carrying Capacity Analysis of Huangshui River during the Period of the Twelfth Five-Year Plan

2015 ◽  
Vol 1092-1093 ◽  
pp. 1202-1208
Author(s):  
Ming Xia Jing
Keyword(s):  
Water Resources ◽  
Social Development ◽  
Carrying Capacity ◽  
Capacity Analysis ◽  
Environmental Resources ◽  
Water Resources Carrying Capacity ◽  
Capacity Level

This paper predicted HuangShui River carrying capacity level of environmental resources at the end of the "twelfth five-year" period and even longer, based on the economic and social development in the base year 2011 data, to provide reference for the development of various government related department reference.

Study on Water Resources Efficiency with the Regional Water Resources Carrying Capacity into Consideration

2018 ◽  
Vol 06 (04) ◽  
pp. 1850023 ◽  
Author(s):  
Xifeng WANG
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
High Water ◽  
Coastal Regions ◽  
Coordinated Development ◽  
Policy Makers ◽  
Water Resources Carrying Capacity ◽  
Decision Making Unit ◽  
High Level ◽  
Regional Water

Most of the existing studies on regional water resources efficiency only consider the total regional water use while ignoring the regional endowment. Therefore, it is essential to introduce the water resources carrying capacity into the study. Given that data envelopment analysis (DEA) cannot compare the time series of a single decision-making unit, we employ the DEA-window analysis to study China’s water resources efficiency during 2005–2012 with the regional carrying capacity being considered, and analyze the spatiotemporal evolution. The study shows that such efficiency has increased from 0.71 in 2005 to 0.79 in 2012. High water resources efficiency is observed in Liaoning, Tibet, Yunnan, Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong and Sichuan, where the output levels and utilization ratios of water resources are positively correlated. Low water resources efficiency is observed in Henan, Shaanxi, Gansu, Ningxia and Xinjiang which feature high-level utilization and low carrying capacity of water resources. As for regional water resources efficiency, eastern and southern coastal regions rank first, followed by Northeast China and northern coastal regions, southwest and northwest regions of China and lastly the middle reaches of the Yellow and Yangtze Rivers. Therefore, policy-makers should not only accord the regional development with carrying capacity, but also enhance cross-regional industrial cooperation for coordinated development.

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