scholarly journals Comparison of Water Resources Policies between Brazil and Italy

Laws ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 32
Author(s):  
Antônio Pasqualetto ◽  
Diego Lo Presti ◽  
Massimo Rovai ◽  
Aldo Muro
Keyword(s):  
Water Resources ◽  
Natural Resource ◽  
Water Sources ◽  
Preservation Planning ◽  
National Policies ◽  
Qualitative And Quantitative ◽  
Planning And Management ◽  
Guiding Principles ◽  
Environmental Agencies

The growing need for water has pressured society and governments to focus more on preservation, planning and management of this natural resource, which is fundamental to ecosystems, especially to humans. Therefore, the goal of this study was to analyze the national policies of water resources in Brazil and Italy, searching for aspects that could promote improvement, aiming at the preservation of water sources, guaranteeing satisfactory quantity and quality. In 2019, studies were carried out by environmental agencies of both countries, listing the main disciplinary regulations. Results show that although both countries have different realities, they have similarities in managerial aspects of water resources, with legislation addressing qualitative and quantitative aspects of water, with guiding principles, instruments and actions aimed at the defense of this natural resource.

scholarly journals Comparison of Water Resource Policies between Brazil and Italy

2019 ◽  
Author(s):  
Antonio Pasqualetto ◽  
Diego Lo Presti ◽  
Massimo Rovai ◽  
Aldo Muro Jr
Keyword(s):  
Water Resources ◽  
Water Resource ◽  
Natural Resource ◽  
National Policy ◽  
Water Sources ◽  
Preservation Planning ◽  
Qualitative And Quantitative ◽  
Planning And Management ◽  
Guiding Principles ◽  
Environmental Agencies

The growing need for water has pressured society and governments to focus more on preservation, planning and management of this natural resource, in which is fundamental to ecosystems and especially to humans. In this sense, the goal of this study was to analyze the national policy of water resources in Brazil and Italy, figuring out aspects that could promote its improvement, aiming at the preservation of water sources, guaranteeing satisfactory quantity and quality. They were carried out in 2019 by the environmental agencies of both countries, listing the main disciplinary regulations. The results show that although they are countries with different realities, they resemble similarities in managerial aspects of water resources, with legislation addressing qualitative and quantitative aspects of water, with guiding principles, instruments and actions aimed at the defence of this natural resource.

Aquatic Habitat Analysis as an Element of Water Resources Planning and Management

1985 ◽  
Vol 17 (6-7) ◽  
pp. 879-890 ◽  
Author(s):  
Edwin E. Herricks
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Environmental Quality ◽  
Habitat Management ◽  
Aquatic Habitat ◽  
Water Quality Criteria ◽  
Water Resources Planning ◽  
High Quality ◽  
Planning And Management ◽  
Resources Planning

With increased emphasis on environmental quality objectives in water resources planning and management, past practices of simply considering water quality as the only environmental quality objective are inappropriate. Expanded environmental quality objectives include maintenance of high quality aquatic habitat. Water resource systems must provide both physical and chemical conditions appropriate for the propagation and maintenance of healthy diverse aquatic communities. Managing water resources to provide high quality habitat involves planning to meet both water quality and water quantity objectives. Existing technology based water quality controls and stream based water quality criteria can now be supplemented by aquatic habitat management. An approach to aquatic habitat management is illustrated by use of the Incremental Methodology developed by the U. S. Fish and Wildlife Service. The Incremental Methodology uses measures of aquatic habitat to assess instream flows required for by aquatic life. Thus the range of environmental quality objectives in resources planning and management is expanded by application of these methods to include aquatic habitat as well as water quality management. Methods used to determine instream flow needs for rivers in Illinois are reviewed, and the use of this information in developing regulations limiting water extraction for off stream use are described. Aquatic habitat based management is shown to provide workable methods to meet expanded environmental quality objectives in water resources planning and management.

Off-office audit of natural resource assets and water pollution: a quasi-natural experiment in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaowei Ma ◽  
Muhammad Shahbaz ◽  
Malin Song
Keyword(s):  
Water Pollution ◽  
Big Data ◽  
Water Resources ◽  
Natural Resource ◽  
Prevention And Control ◽  
Industrial Structure ◽  
Dynamic Effect ◽  
Content Type ◽  
Audit System ◽  
And Control

PurposeThe purpose of this paper is to analyze the impact of the off-office audit of natural resource assets on the prevention and control of water pollution against a background of big data using a differences-in-differences model.Design/methodology/approachThis study constructs a differences-in-differences model to evaluate the policy effects of off-office audit based on panel data from 11 cities in Anhui Province, China, from 2011 to 2017, and analyzes the dynamic effect of the audit and intermediary effect of industrial structure.FindingsThe implementation of the audit system can effectively reduce water pollution. Dynamic effect analysis showed that the audit policy can not only improve the quality of water resources but can also have a cumulative effect over time. That is, the prevention and control effect on water pollution is getting stronger and stronger. The results of the robustness test verified the effectiveness of water pollution prevention and control. However, the results of the influence mechanism analysis showed that the mediating effect of the industrial structure was not obvious in the short term.Practical implicationsThese findings shed light on the effect of the off-office audit of natural resource assets on the prevention and control of water pollution, and provide a theoretical basis for the formulation of relevant environmental policies. Furthermore, these findings show that the implementation of the audit system can effectively reduce water pollution, which has practical significance for the sustainable development of China's economy against the background of big data.Originality/valueThis study quantitatively analyzes the policy effect of off-office auditing from the perspective of water resources based on a big data background, which differs from the existing research that mainly focuses on basic theoretical analysis.

scholarly journals Summer Watering Patterns of Mule Deer in the Great Basin Desert, USA: Implications of Differential Use by Individuals and the Sexes for Management of Water Resources

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Andrew V. Shields ◽  
Randy T. Larsen ◽  
Jericho C. Whiting
Keyword(s):  
Water Resources ◽  
Great Basin ◽  
Mule Deer ◽  
Free Water ◽  
Water Sources ◽  
Limiting Factor ◽  
Mountain Range ◽  
Great Basin Desert ◽  
Water Developments ◽  
Conservation And Management

Changes in the abundance and distribution of free water can negatively influence wildlife in arid regions. Free water is considered a limiting factor for mule deer (Odocoileus hemionus) in the Great Basin Desert. Consequently, a better understanding of differential use of water by individuals and the sexes could influence the conservation and management of mule deer and water resources in their habitats. We deployed remote cameras at all known water sources (13 wildlife water developments and 4 springs) on one mountain range in western Utah, USA, during summer from 2007 to 2011 to document frequency and timing of water use, number of water sources used by males and females, and to estimate population size from individually identified mule deer. Male and female mule deer used different water sources but visited that resource at similar frequencies. Individual mule deer used few water sources and exhibited high fidelity to that resource. Wildlife water developments were frequently used by both sexes. Our results highlight the differing use of water sources by sexes and individual mule deer. This information will help guide managers when siting and reprovisioning wildlife water developments meant to benefit mule deer and will contribute to the conservation and management of this species.

scholarly journals Diversitas Makrofauna Kaitannya Dengan Kualitas Air Sungai Metro Kecamatan Lowokwaru Kota Malang

2020 ◽  
Vol 6 (1) ◽  
pp. 28-32
Author(s):  
Novi Komariah ◽  
Saimul Laili ◽  
Hari Santoso
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
River Water ◽  
Natural Resource ◽  
River Flow ◽  
Diversity Index ◽  
River Water Quality ◽  
Living Things ◽  
Quantitative Descriptive ◽  
Macrofauna Community

Water is a natural resource that is needed for the life of human being, even for all the creatures. Therefore, these water resources must be protected so that humans and other living things can be utilized properly. The macrofauna community defines whether the water quality is good or not. The study of the effect of river water quality on the diversity of macrofauna in the Metro river flow of Lowokwaru Subdistrict, Malang City aims to determine the effect of river water quality and to compare the diversity of macrofauna in several Metro river locations in Lowokwaru District, Malang. The method used is quantitative descriptive by calculating the Shanon Winner diversity index. The results obtained for station I amounted to 1.95 classified as lightly polluted, at station II the results were 1,007 which were classified as moderately polluted, and at station III the results were 0.69 which were classified as heavily polluted. Key Words: water quality, macro fauna, Metro river ABSTRAK Air merupakan sumber daya alam yang diperlukan untuk kebutuhan hidup orang banyak, bahkan oleh semua makhluk hidup. Oleh karena itu, sumber daya air tersebut harus di lindungi agar tetap dapat di manfaatkan dengan baik oleh manusia dan makhluk hidup lainnya. Komunitas makrofauna menentukan kualitas air baik atau tidak. Penelitian tentang pengaruh kualitas air sungai terhadap keragaman makrofauna di aliran sungai Metro Kecamatan Lowokwaru kota Malang bertujuan untuk mengetahui pengaruh kualitas air sungai dan untuk membandingkan keanekaragaman makrofauna di beberapa lokasi aliran sungai  Metro Kecamatan Lowokwaru kota Malang. Metode yang di gunakan yaitu deskriptif kuantitatif dengan melakukan perhitungan indeks keanekaragaman Shanon Winner. Indeks keanekaragaman yang di hasilkan pada stasiun I sebesar 1,95 yang tergolong tercemar ringan, pada stasiun II indeks keanekaragaman yang di hasilkan sebesar 1,007 yang tergolong tercemar sedang, dan pada stasiun III di dapat hasil indeks keanekaragaman 0,69 yang tergolong tercemar berat. Kata kunci: Kualitas air, makrofauna, sungai metro.

scholarly journals Modelling streamflow response to hydro-climatic variables in the Upper Mkomazi River, South Africa

2014 ◽  
Author(s):  
◽  
Oluwaseun Kunle Oyebode
Keyword(s):  
South Africa ◽  
Water Resources ◽  
Genetic Programming ◽  
Predictive Models ◽  
Model Development ◽  
De Algorithm ◽  
Planning And Management ◽  
Ann Models ◽  
Artificial Neural

Streamflow modelling remains crucial to decision-making especially when it concerns planning and management of water resources systems in water-stressed regions. This study proposes a suitable method for streamflow modelling irrespective of the limited availability of historical datasets. Two data-driven modelling techniques were applied comparatively so as to achieve this aim. Genetic programming (GP), an evolutionary algorithm approach and a differential evolution (DE)-trained artificial neural network (ANN) were used for streamflow prediction in the upper Mkomazi River, South Africa. Historical records of streamflow and meteorological variables for a 19-year period (1994- 2012) were used for model development and also in the selection of predictor variables into the input vector space of the models. In both approaches, individual monthly predictive models were developed for each month of the year using a 1-year lead time. Two case studies were considered in development of the ANN models. Case study 1 involved the use of correlation analysis in selecting input variables as employed during GP model development, while the DE algorithm was used for training and optimizing the model parameters. However in case study 2, genetic programming was incorporated as a screening tool for determining the dimensionality of the ANN models, while the learning process was further fine-tuned by subjecting the DE algorithm to sensitivity analysis. Altogether, the performance of the three sets of predictive models were evaluated comparatively using three statistical measures namely, Mean Absolute Percent Error (MAPE), Root Mean-Squared Error (RMSE) and coefficient of determination (R2). Results showed better predictive performance by the GP models both during the training and validation phases when compared with the ANNs. Although the ANN models developed in case study 1 gave satisfactory results during the training phase, they were unable to extensively replicate those results during the validation phase. It was found that results from case study 1 were considerably influenced by the problems of overfitting and memorization, which are typical of ANNs when subjected to small amount of datasets. However, results from case study 2 showed great improvement across the three evaluation criteria, as the overfitting and memorization problems were significantly minimized, thus leading to improved accuracy in the predictions of the ANN models. It was concluded that the conjunctive use of the two evolutionary computation methods (GP and DE) can be used to improve the performance of artificial neural networks models, especially when availability of datasets is limited. In addition, the GP models can be deployed as predictive tools for the purpose of planning and management of water resources within the Mkomazi region and KwaZulu-Natal province as a whole.

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