Hydro-Environmental Sciences & Solutions (HESS) relies on the expertise of dedicated peer reviewers to uphold the quality, accuracy, and impact of its published research. We welcome professionals with backgrounds in hydro-environmental systems, water resources management, environmental modeling, agriculture, and related disciplines to join our reviewer community.

To become a reviewer for HESS, please register on our journal website at www.hessjr.com. During registration, kindly check the box indicating that you are available for peer review. Please note that upon completing a review, you will receive an acknowledgment email from the HESS editorial team. To enhance your professional profile and gain recognition through Web of Science Reviewer Credits, kindly forward this acknowledgment email without any modifications to reviews@webofscience.com.

Together, we are committed to advancing innovative and practical solutions for sustainable land, water, and environmental systems.

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AI Usage Policy for Reviewers

In order to safeguard the integrity, confidentiality, and quality of peer review, the Advances in Civil Engineering and Environmental Science (ACEES) journal permits reviewers to use artificial-intelligence (AI) tools (for example, large-language models) only under the following COPE-aligned conditions:

Human Oversight & Accountability

Reviewers remain fully responsible for all opinions, criticisms, and recommendations in their reports. AI may assist with language polishing or structuring, but must never substitute expert judgment or the final evaluation decision.

Confidentiality Protection

Manuscript text, figures, data, or any proprietary material must not be entered into public AI platforms that retain or learn from user inputs. Reviewers must ensure that all confidential content stays within the journal's secure submission system.

Full Disclosure

Any use of AI (e.g., for grammar checks, summarization, or outline drafting) must be declared to the editor at the time of review submission. This transparency allows the editorial team to assess the appropriateness of AI assistance.

Ethical Integrity

AI tools must not be used to generate scientific critique, validate data, or assess originality; these core review tasks require expert human analysis.

By adhering to these COPE-recommended practices, ACEES reviewers help maintain rigorous, ethical, and transparent peer review while responsibly harnessing AI's supportive capabilities.