City Water Resources Vulnerability: The Case of Jinan and Qingdao in Shandong Province, China

2020 ◽  
pp. 35-43
Author(s):  
Menglu Sun ◽  
Takaaki Kato
Keyword(s):  
Water Resources ◽  
Shandong Province ◽  
City Water ◽  
Water Resources Vulnerability

scholarly journals Evaluation of Water Resources Vulnerability in the Coastal Areas of the Yellow Sea and Bohai Sea under Seawater Intrusion——A case study of Longkou City, Shandong Province

2021 ◽  
Vol 299 ◽  
pp. 01012
Author(s):  
Lei Qiu ◽  
Ying Cao ◽  
Jingyi Huang
Keyword(s):  
Water Resources ◽  
Water Resource ◽  
Seawater Intrusion ◽  
Yellow Sea ◽  
Bohai Sea ◽  
Coastal Areas ◽  
Shandong Province ◽  
The Yellow Sea ◽  
Water Resources System ◽  
Water Resources Vulnerability

In view of the increased vulnerability of water resources system caused by seawater intrusion in the coastal areas of the Yellow Sea and Bohai Sea, this paper based on the VSD(Vulnerability Scoping Diagram) model to construct the water resource vulnerability evaluation index system of “exposure-sensitivity-adaptive capacity” under seawater intrusion. Then use entropy-TOPSIS method to evaluate water resource vulnerability and divide the levels. In addition, take Longkou City of Shandong Province as an example to conduct empirical research. The results show that the water resource vulnerability of Longkou City is at a strong vulnerability level. The water resources system is under obvious pressure. Population density, per capita GDP, temperature and precipitation change are the main factors of the system pressure. Seawater intrusion has a high degree of impact on water resources vulnerability and water resource system is more sensitive to groundwater level, chloride concentration and other stimuli. The improvement of water use efficiency and scientific and technological investment contribute to the significant enhancement of the adaptability of the water resources system of Longkou City.

scholarly journals Using the Arctic water resources vulnerability index in assessing and responding to environmental change in Alaskan communities

2019 ◽  
Vol 23 ◽  
pp. 19-31 ◽  
Author(s):  
Paula Williams ◽  
Andrew Kliskey ◽  
Molly McCarthy ◽  
Richard Lammers ◽  
Lilian Alessa ◽  
...  
Keyword(s):  
Water Resources ◽  
Environmental Change ◽  
Vulnerability Index ◽  
The Arctic ◽  
Arctic Water ◽  
Water Resources Vulnerability

scholarly journals ANALISIS BANJIR KELURAHAN TANJUNG DUREN SELATAN

2020 ◽  
Vol 3 (3) ◽  
pp. 569
Author(s):  
Natanael Tadeus Sutanto ◽  
Wati Asriningsih Pranoto
Keyword(s):  
Water Resources ◽  
Natural Disasters ◽  
Water Flow ◽  
Channel Capacity ◽  
Rainfall Intensity ◽  
Chi Square ◽  
Channel Condition ◽  
Direct Measurements ◽  
Kolmogorov Smirnov ◽  
City Water

Flood is one of the natural disasters that occur due to various factors and causes many losses. Tanjung Duren Selatan village was recorded as having floods in January 2020. This research aims to determine the causes of the flood in the area as well as the solution. The data obtained were taken from BMKG, West Jakarta City Water Resources Department, and direct measurements in the review area. This research analyzed rainfall, channel capacity, channel condition dan topography in Tanjung Duren Selatan village. Rainfall is tested for data compatibility using Chi-Square and Kolmogorov-Smirnov methods. Rainfall intensity is calculated using the Mononobe formula. The capacity of the existing channels is analyzed using Manning formula that will be compared with the planned discharge calculated using Rasional method. The analysis included secondary channels and tertiary channels, based on the calculation of 8 of the 48 channels reviewed that were unable to accommodate the planned discharge. After the analysis, it can be concluded that the flooding in Tanjung Duren Selatan village was caused by the lack of existing channel capacity, contours, and rubbish that blocked the water flow. Floods that occurred on January 1, 2020 due to rainfall that occurred exceeded the planned rainfall.ABSTRAKBanjir merupakan salah satu bencana alam yang terjadi akibat berbagai faktor dan menimbulkan banyak kerugian. Di Kelurahan Tanjung Duren Selatan tercatat mengalami banjir pada bulan Januari 2020. Penelitian ini bertujuan untuk mengetahui faktor penyebab terjadinya banjir pada daerah tersebut serta solusinya. Data-data yang didapat diambil dari BMKG, Suku Dinas Sumber Daya Air Kota Jakarta Barat, serta pengukuran langsung di daerah tinjauan. Pada penelitian ini dianalisis curah hujan, kapasitas saluran, kondisi saluran, serta topografi di Kelurahan Tanjung Duren Selatan. Curah hujan di uji kecocokan datanya menggunakan metode Chi-Square dan Kolmogorov-Smirnov. Intensitas curah hujan di hitung menggunakan rumus Mononobe. Kapasitas saluran eksisting di analisis menggunakan rumus Manning yang akan dibandingkan dengan debit rencana yang dihitung menggunakan metode Rasional. Analisis yang dilakukan mencakup saluran sekunder dan saluran tersier, berdasarkan perhitungan 8 dari 48 saluran yang ditinjau tidak mampu menampung debit rencana. Setelah analisis dilakukan dapat disimpulkan bahwa banjir di Kelurahan Tanjung Duren Selatan disebabkan oleh kurangnya kapasitas saluran eksisting, kontur, serta sampah yang menghalangi aliran air. Banjir yang terjadi pada tanggal 1 Januari 2020 dikarenakan curah hujan yang terjadi melebihi curah hujan rencana.

scholarly journals Macroeconomic water resources input-output analysis in Shandong Province

2018 ◽  
Vol 191 ◽  
pp. 012131
Author(s):  
C Wang ◽  
W Wang ◽  
S Qu ◽  
F Li ◽  
S Liu ◽  
...  
Keyword(s):  
Water Resources ◽  
Shandong Province ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

Data Mining Model in Regional Target Decomposition of Water Resources Utilization Efficiency

2014 ◽  
Vol 580-583 ◽  
pp. 2082-2087 ◽  
Author(s):  
Hua Wei Chen ◽  
Ji Wen Huang ◽  
Bing Li ◽  
Shi Dong Fu ◽  
Xin Zhang
Keyword(s):  
Data Mining ◽  
Water Resources ◽  
Shandong Province ◽  
Utilization Efficiency ◽  
Water Withdrawal ◽  
Industrial Water ◽  
Water Utilization ◽  
Clustering Model ◽  
Mining Model ◽  
Municipal Level

Data mining model is the most important technical basis of the control target decomposition for the most stringent water resources management of Shandong province. K-means clustering model is adopted to analysis the water withdrawal of industrial added value per ten thousand yuan in 2010. Based on the yearly industrial water consumption trend from 1995 to 2010 of 17 municipal-level cities in Shandong province, the ARIMA (p, d, q) model is established through a lot of fitting and optimization and then the regional industrial water demand and water utilization efficiency in 2015 were forecasted. According to the proposed principal and technical route of target decomposition, the industrial water utilization efficiency target in 2015 of the whole province and 17 municipal-level cities are defined respectively.

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